Private-Client IPS, Tax-Aware, Estate & Goals-Based Planning

Branch: Private Wealth & Private Markets (PW) · Node PW1.01 · ~18 hours · Mastery gate ≥85% in the app, plus the IPS rubric ≥80%

Every module before this one in your training has asked some version of the same question: what is this business worth? This module asks a different one: what does this person's money need to do for this person's life, and how do you write that down so precisely that a stranger could execute it correctly, five years from now, after you have forgotten the conversation that produced it? A business has one owner's-worth of objective: maximize intrinsic value per share. A person has a retirement date, a spouse with a different risk temperament, a child's tuition due in six years, a concentrated block of employer stock they cannot bring themselves to discuss rationally, a tax residency, and, usually, no written plan at all. The Investment Policy Statement (IPS) is the document that turns a person's scattered, emotional, half-articulated financial life into a set of objectives and constraints precise enough to manage against. Private wealth management is not "the same investing, but for individuals", it is a different discipline, built on top of everything you already know, with its own vocabulary, its own failure modes, and its own primary sources.

This Ring is additive institutional/CFA breadth, it presents the toolkit and the plumbing alongside, not in place of, the program's process-over-P&L, concentration-over-diversification philosophy. That sentence matters more in this module than in any other in the Ring, because private wealth management's default professional instinct, diversify the client, reduce single-name risk, smooth the ride, sits in genuine tension with the conviction-and-concentration philosophy this program has spent its core curriculum building in you. This module does not resolve that tension by picking a side. It resolves it by teaching you to ask a sharper question than "should this client diversify?", namely, whose conviction is this position expressing? A concentrated position you chose, researched, and would buy again today at this price is one thing. A concentrated position that arrived as a paycheck (vested stock options, an inheritance, a company that simply grew around an early employee who never sold) is a different animal entirely, correlated with the client's human capital in a way that has nothing to do with anyone's investment conviction. You will build the vocabulary to tell these apart precisely, and a toolkit for the second case, in this module's concentrated-position section.

Four things make this branch's material unusually load-bearing. First, an IPS is not a research report, it is closer to a legal and fiduciary document, and getting a constraint wrong (understating a client's actual liquidity need, for instance) can cause real, immediate harm in a way a slightly-wrong DCF rarely does on its own. Second, tax law is the most perishable, most jurisdiction-specific material in this entire program: a capital-gains rate, an exemption threshold, or a withdrawal rule that is correct today can be amended in next year's Finance Act or the next Revenue Procedure, and the two markets this program trains you on (India and the United States) run on structurally different regimes that do not translate by simple substitution. Third, this is one of the two modules in the whole Ring (alongside AA1.02) gated by a written-deliverable rubric rather than a closed-book quiz: you pass this module by producing an IPS and a goals-based plan a reviewer would actually sign off on, scored against the rubric in the Applied Mini-Project, at ≥80%. Fourth, and this is the point R10 exists to make explicit, private wealth is arguably the single highest-stakes surface in this entire corpus for AI over-trust: a fluent, confident AI answer about "the current estate-tax exemption" or "whether this loss triggers a wash sale" is indistinguishable, in tone, from a correct one, and the cost of trusting the wrong one is not an embarrassing valuation memo, it is a client's real tax bill, filed and irreversible. Every tax rule in this module is cited to a named primary source or explicitly flagged as an assumption; you will be drilled, more than once, in exactly how to re-verify each one before it ever reaches a client.

Learning objectives

By the end you can:

1. Write a complete private-client IPS: a return objective tied to the client's actual goals, a risk objective built from both ability and willingness to take risk, and the five constraints (time horizon, liquidity, tax circumstances, legal and regulatory, unique circumstances), for one Indian client and one US client, in language a reviewing colleague could execute without asking you a follow-up question.
2. Distinguish human capital from financial capital, compute the present value of a client's human capital as a growing annuity, and derive the equity weight a client's financial portfolio should carry given a target blended (whole-of-life) equity exposure, including recognizing the practical 100% ceiling that binds when the unconstrained math says more.
3. Build a goals-based financial plan: grouping a client's objectives into funding buckets, computing a funding ratio for each goal, and stating the glide path each bucket implies, while explicitly handing off the portfolio-construction machinery (liability-relative optimization, a goals-based MVO variant) to AA1.02 and any full Monte Carlo simulation build to the quant-code region.
4. Apply tax-aware investing: place assets in the account "wrapper" that suits their tax character (asset location), execute a tax-loss harvest correctly on both sides of the US wash-sale rule, and quantify the after-tax "tax alpha" a correct decision creates, in both the Indian and the US regime, each cited to its primary source.
5. State, precisely and with the underlying statute or regulation named, the core India-versus-US contrasts in capital-gains treatment, retirement-account architecture, and anti-avoidance rules (the US wash sale versus India's dividend/bonus-stripping provisions), and explain why a plan built for one market cannot be relabeled for the other.
6. Design a concentrated-position unwind plan: a staged sale with the tax arithmetic worked correctly, the insider-trading/compliance constraints named, and (referencing DV1.02–DV1.03 for the pricing mechanics, not re-deriving them) a collar's payoff bookkeeping, and reconcile the recommendation explicitly against this program's own concentration-over-diversification philosophy.
7. Plan retirement decumulation: state a withdrawal-rate heuristic and its known fragility, quantify sequence-of-returns risk by hand on two return paths with an identical arithmetic mean, and tie a withdrawal stream's money-weighted return to a hand-computed XIRR, across each market's decumulation architecture (US Required Minimum Distributions; India's NPS annuitization rule and its current lag against the Income Tax Act).
8. Sketch the core estate/wealth-transfer decision in each market, step-up in basis versus a lifetime gift in the US; carryover basis and the absence of an estate tax in India, with the headline numbers computed and cited.
9. (Productivity objective: R10 duality.) Use AI to accelerate first drafts of an IPS narrative and a tax/estate-rule summary, while running every fact through the Primary-Source Guardrail (AI0.01) before it reaches a client, and state, in your own words, why this is the region of the corpus with the single highest AI-over-trust risk.

The duality, stated once (R10). Objectives 1–8 are what the rubric certifies: you earn the gate by writing a defensible IPS and plan, by hand, with every number checked. Objective 9 is the productivity payoff you keep: AI drafts fast, but in this branch more than any other, a fluent draft that cites no primary source is not a first draft. It is a liability with good grammar.

Prerequisites & connections

Builds on. M6.04 (Behavioral Finance) supplies the temperament diagnosis this module's risk objective depends on: when a client's stated "risk tolerance" moves with the market, that is M6.04's recency bias and loss aversion talking, not a stable preference, and you should read a client's willingness answer through that module's bias catalog rather than take it at face value, this module does not re-teach the catalog; it uses it. M3.10 (Special Situations + Phase Capstone) is the reference for two specific tools this module needs but does not re-derive: its §4.6 sum-of-the-parts and holding-company-discount machinery, if a client's concentration sits inside a private holding structure rather than a single listed stock; and its §4.7 "equity as an option" framing, which is the exact lens for a founder holding illiquid, pre-liquidity equity in a company that has not yet had an exit event. E11.02 (M&A, Deals & Special Situations Lab) is the reference for the mechanics of the liquidity event itself, its §4.1 cash-vs-stock-consideration axis determines what a client actually receives and when it becomes sellable after an acquisition, and its treatment of lock-ups and vesting is exactly what precedes the concentrated-position problem this module picks up.

Explicit seams (read once, hold permanently). Three boundaries keep this module from silently duplicating other rows in the Ring, and each is worth stating out loud rather than leaving implicit. First: AA1.02 owns the portfolio-construction machinery for a goals-based mandate, treating each goal as a sub-portfolio with its own liability-relative optimization, risk budgeting, and rebalancing-policy cost. This module owns the client-facing planning process that produces AA1.02's inputs (the goals, the horizons, the funding ratios); it does not re-derive mean-variance optimization or Black-Litterman. Second: the quant-code region owns the Monte Carlo build. QM1.03 already hands off simulation construction there explicitly; this module's decumulation section does the same hand-off for a full retirement Monte Carlo, after first building the single-path intuition by hand (sequence-of-returns risk, Worked Example 4), because the by-hand version is what makes the simulated version legible rather than a black box. Third: DV1.02–DV1.03 own option pricing and the Greeks. The concentrated-position section describes a collar's payoff, what you get, what you give up, in rupees or dollars, because a private-wealth adviser must be able to explain that to a client; it does not re-derive Black-Scholes or delta-hedge the position, which is squarely DV1.02–DV1.03's job.

Feeds forward. PW1.02 (Private Markets I) picks up where a concentrated position turns out to be an illiquid fund interest rather than a listed stock, the fund-economics vocabulary (calls, distributions, the J-curve) that this module deliberately does not open. ES1.01–ES1.02 own the formal fiduciary and suitability-duty framework (the CFA Code and Standards; GIPS) that governs an actual adviser's conduct, this module builds the IPS a fiduciary duty requires, but the duty itself, and its formal defense in a vignette, is ES1.01's territory.

The one-sentence version of this module. A private client's portfolio is not a stand-alone optimization problem, it is one visible piece of a much larger balance sheet that also includes a job, a family, a tax residency, and a will (or the dangerous absence of one), and the IPS is the single document disciplined enough to hold all of it in view at once, in language precise enough for someone else to execute it correctly after you are no longer in the room.

Core teaching content

The five constraints, one at a time

Time horizon. Rarely a single number. A 45-year-old client is simultaneously funding a child's college costs in six years, their own retirement in twenty, and (if they are candid about it) a bequest horizon beyond their own lifetime. State each sub-horizon explicitly rather than collapsing them into one blended "long-term" label; the goals-based section below is built entirely on taking this seriously.

Liquidity. Two components, both concrete: an emergency reserve (conventionally sized in months of expenses. Worked Example P3 below computes a shortfall against a stated policy floor) and known, dated outflows (a wedding, a tax payment, a business capital call). A liquidity constraint that only says "the client needs some cash" is not a constraint; it is a shrug. A liquidity constraint that says "₹12,00,000 held against a 6-month reserve policy of ₹18,00,000, a ₹6,00,000 shortfall to close over the next 12 months" is executable.

Tax. This constraint is a placeholder in the objectives-and-constraints skeleton of the IPS itself (one paragraph naming the client's tax residency, marginal rate, and account structure) but it detonates into the tax-aware investing sections later in this module, because "tax circumstances" is not a box you tick, it is the lens the entire portfolio gets built through.

Legal and regulatory. What the client is legally permitted to hold, and under what regime. For an Indian client this can include FEMA rules on holding foreign securities directly (the Liberalised Remittance Scheme sets the individual's annual overseas-remittance ceiling for investment; treat the current limit as perishable and verify it against the RBI's current LRS circular before relying on it) or SEBI's framework for Alternative Investment Funds if the client wants exposure to a domestic AIF wrapper for private markets (PW1.02's territory once the wrapper is chosen). For a US client this can include ERISA rules if assets sit inside an employer plan, or state-specific trust and probate law. This is a naming exercise for the IPS, not a legal opinion, flag it, do not resolve it yourself, and route to counsel where the stakes justify it.

Unique circumstances. Everything real that does not fit the first four boxes: a concentrated position (this module's own dedicated section), a closely-held family business, a values-based exclusion, a family member who depends on the client financially, an upcoming divorce or a blended-family estate question. This section is where a generic financial plan becomes a specific client's plan, and it is the section most often left thin by advisers in a hurry, which is precisely why the rubric in the Applied Mini-Project grades it explicitly.

ESG as a constraint the policy statement can actually enforce

A client says they do not want their money in tobacco, or in thermal coal, or in companies with no women on the board. That sentence is not yet a constraint. Turning it into one is a drafting job with four parts, and skipping any of them produces a policy statement that reads well and cannot be complied with, audited or reported on.

Part one: decide whether the client is asking for exclusion or for integration, because the two make opposite demands on the manager. Exclusion removes a defined set of issuers from the eligible universe regardless of price. It is a constraint on the feasible set, it is testable at any moment by inspecting the holdings, and it costs return whenever the excluded names would have helped. Integration asks the manager to take sustainability factors into account in the forecast, alongside everything else. It changes expected returns rather than the universe, it cannot be verified from a holdings list, and it is entirely compatible with owning a company the client dislikes if the price is right. A client who says "I don't want to own tobacco" wants exclusion. A client who says "I want you to take climate risk seriously" wants integration. Writing the second sentence into an IPS and then policing it as though it were the first is the most common failure here, and it ends in an argument nobody can win, because the manager did what was asked and the client sees a holding they hate.

Part two: define the screen so that two people applying it get the same answer. Three elements make a screen operable.

The rule has to name a threshold and a data source. "No tobacco" is not implementable; "no issuer deriving more than 5% of revenue from tobacco production or distribution, per the revenue-segment disclosure in the issuer's own annual report, with a named vendor's classification as the fallback" is. Revenue thresholds beat industry classifications, because classification schemes put a diversified conglomerate in one bucket and a pure-play in the same one.

The scope has to say what the screen applies to. Direct holdings only, or pooled funds too? Applying an exclusion to a pooled fund usually means either finding a fund with the same exclusion or not using pooled vehicles in that sleeve, which is a real cost in a small account and needs to be agreed before it is discovered.

The remedy has to say what happens when a holding becomes non-compliant after purchase, which it will. Name a cure period, a fortnight or a month, and say whether the sale is at the manager's discretion within it. A screen with no cure period turns every reclassification into a forced sale at whatever price the market offers that morning.

Part three is the reporting, agreed in advance and in writing. The client should expect, at least annually, a compliance statement listing any breach and its cure, the current exclusion list with the date it was last refreshed, and, most usefully, a performance attribution against an unscreened version of the same benchmark, so the cost or benefit of the constraint is a measured number rather than an argument. AA1.03's Brinson decomposition does exactly this work: the excluded sector shows up as an allocation effect, and the client can see what their preference cost or earned in the period. Add a stewardship report if the mandate includes engagement, because engagement is the one approach whose output is not visible in the holdings at all.

Part four is to price the constraint before the client signs rather than after. AA1.01 section 14 does this arithmetic on a four-asset allocation: a screen modelled as 30 basis points off the equity sleeve's expected return and one point onto its volatility costs 0.0247 of Sharpe ratio, about 4.27% of it, which at that portfolio's volatility is 0.1555 percentage points of expected annual return. That figure is roughly what a 50% single-asset cap costs the same portfolio, which gives the client a comparison they can hold in their head.

Two things about presenting that number matter more than the number. First, the sign is genuinely unknown in advance: the screen removes an exposure that may underperform, so the ex-ante cost is a risk cost from lost diversification rather than a forecast of lower returns, and describing it as "this will cost you 16 basis points a year" is wrong. Second, the client has already declined the unscreened portfolio, so the right framing is the price of a preference they hold rather than evidence that the preference is a mistake. An adviser who cannot state the price is not in a position to have the conversation at all; an adviser who states it as a verdict has ended it.

Two neighbours own the rest of the subject and are worth reading in order. AA1.01 owns the allocation-level implementation, including the six approaches and the arithmetic above. EC1.07 owns security-level integration and the governance and sustainability factors that drive it, which is where the analyst work happens once the constraint has been written. This node owns only the seam between what a client says and what a mandate can be held to.

Assembling the IPS and goals-based plan as one document

Pull the sections above together and the shape of the deliverable this module certifies becomes clear: one document, built in order, that states the client's return objective (from the goals-based funding work) and risk objective (from ability and willingness, reconciled), works through all five constraints with genuine specificity, states the human-capital-informed asset-allocation target, names any concentrated position and its unwind plan, states the tax-aware structure the portfolio will be built inside, and closes with the estate and decumulation implications that follow from the client's stage of life. The Applied Mini-Project below asks you to write exactly this, for one Indian client and one US client, and grades it against a rubric built directly from the sections above, nothing in the rubric will ask you for anything this module has not already taught, and nothing in this module exists that the rubric will not eventually ask you to demonstrate.

Common mistakes & how experts think differently

1. Treating an institutional IPS template as directly portable to a private client. An institutional mandate has a board and an actuarial liability schedule; a private client has a spouse, a mortality, and a change of heart. The expert rebuilds the five constraints from the client's actual life every time, rather than filling in a template's blanks with generic language dressed up as personalization.
2. Confusing willingness with ability to take risk. A client who feels aggressive after a bull run is not thereby able to absorb a 40% drawdown three years before a planned retirement. The expert computes ability independently (time horizon, income stability, spending-to-net-worth ratio, human capital) and lets the more conservative of the two figures bind, documenting the gap rather than averaging it away.
3. Ignoring human capital's correlation with a concentrated employer position. The novice sees "the client owns a lot of one stock" and reaches for a generic diversification lecture. The expert asks first whether the client's paycheck is correlated with that same stock, because that correlation (not the position's size alone) is what turns concentration from an expressed edge into an unmanaged risk.
4. Chasing a tax-loss harvest straight into a wash sale. The eager novice sells a loser and immediately buys the identical fund back the same afternoon "to stay invested," not realizing the loss is now disallowed for the year, and, worse, a repurchase inside an IRA can turn that deferral into a permanent forfeiture. The expert checks the 30-day window on both sides of the sale, across every account either spouse controls, before repurchasing anything similar.
5. Assuming India's tax-avoidance rules mirror the US wash sale. A US-trained instinct assumes any quick loss-harvest-and-rebuy is blocked everywhere; an India-based client assumes the reverse, that nothing like a wash sale exists at all. Neither is right: India's Sections 94(7)/94(8) are narrower and dividend/bonus-event-specific, not a blanket rebuy prohibition, the expert names the actual mechanism in the actual jurisdiction rather than assuming either market's rule travels.
6. Treating the 4% rule as a law of markets rather than a heuristic tied to a specific sample. The novice repeats "4% is safe" as though it were a physical constant. The expert states which historical sample and valuation regime it came from, checks it against the client's actual starting valuation environment, and treats sequence-of-returns risk (not just the average return) as the reason the same withdrawal rate can succeed in one retirement and fail in another that "averaged" the identical return.
7. Overstating the tax benefit of staging an Indian concentrated-position sale. An adviser trained on the US progressive system reflexively recommends staging a large Indian sale across years "to save tax," without noticing that India's flat 12.5% listed-equity LTCG rate makes the actual tax savings from staging almost entirely trivial (only the modest annual exemption, repeated). The expert names the real reason to stage in India (execution, insider-trading compliance, behavioral pacing) rather than importing a US justification that does not apply.
8. Assuming India has a US-style estate tax, or that the US has none. Both directions of this confusion are common and both are wrong: India abolished estate duty in 1985 and currently has none; the US has a federal estate tax with a large but real exclusion, above which a flat rate applies. The expert states each regime's actual current rule, sourced, rather than assuming symmetry between the two markets.
9. Dying with an unrealized loss in the US, out of pure inattention. The heuristic "hold appreciated assets until death for the step-up" is well known; its mirror image is not: an asset sitting on an unrealized loss should generally be sold before death, because basis steps down at death too, permanently erasing a usable loss. The expert reviews a client's full unrealized-gain-and-loss ledger before any estate-planning conversation, not just the winners.
10. Trusting an AI's tax-rule summary as a citable fact rather than a draft to verify. This region carries the corpus's highest AI-over-trust risk precisely because a fabricated exemption threshold reads exactly as confident as a correct one, and a Finance Act or a Revenue Procedure can move the true number without any change in how certain the model sounds. The expert treats every number in an AI-drafted IPS as unverified until traced to the actual current statute or circular, never as a citable fact on the model's authority alone.
11. Ignoring the liquidity constraint when a client's wealth is dominated by an illiquid or concentrated asset. A goals-based plan built on a funding ratio that silently assumes a concentrated or illiquid position can be sold at will, on schedule, at today's marked price, is a plan built on a fiction. The expert states the liquidity constraint explicitly against the actual saleable, unencumbered assets, not the headline net-worth figure.
12. Recommending a concentrated-position sale schedule without checking insider-trading and compliance constraints first. A tax-optimal staged-sale calendar that ignores a client's trading-window restrictions (SEBI's insider-trading regulations in India; a Rule 10b5-1 plan's requirements in the US) is not executable, however elegant the tax arithmetic. The expert checks the compliance constraint before, not after, proposing the tax-optimal schedule. Both regimes are defined in ES1.03 section 10; check them before the calendar, not after.

Worked examples

Worked example 1: Human capital, financial capital, and a net-worth statement (India, ₹)

Meera is a 42-year-old senior engineering manager in India, expecting to retire at 62 (a 20-year horizon), currently earning ₹48,00,000 a year gross, with income she expects to grow roughly 6%/year. Her financial picture: an investable portfolio of ₹3,65,00,000, an EPF balance of ₹35,00,000, a home worth ₹1,50,00,000 against an outstanding mortgage of ₹45,00,000. (Meera and every figure in this example are synthetic.)

Solution. Step 1, the net-worth statement, and it must balance. Assets: portfolio ₹3,65,00,000 + EPF ₹35,00,000 + home ₹1,50,00,000 = ₹5,50,00,000. Liabilities: mortgage ₹45,00,000. Net worth = Assets − Liabilities = ₹5,50,00,000 − ₹45,00,000 = ₹5,05,00,000. Check: Liabilities + Net worth = ₹45,00,000 + ₹5,05,00,000 = ₹5,50,00,000 = Assets. It balances.

Step 2, financial capital, defined for asset-allocation purposes. Standard private-wealth practice excludes the primary residence (an illiquid, consumption asset) from the capital that gets an asset-allocation decision applied to it. Financial capital = portfolio + EPF = ₹3,65,00,000 + ₹35,00,000 = ₹4,00,00,000.

Step 3, human capital as a growing annuity's present value. Next year's salary, C₁ = ₹48,00,000 × 1.06 = ₹50,88,000. Discounting a growing annuity (growth g = 6%, discount rate r = 9% to reflect salary risk, n = 20 years) at the standard formula PV = C₁ × [1 − ((1+g)/(1+r))ⁿ] / (r − g) gives a present-value factor of 14.2583, so human capital = ₹50,88,000 × 14.2583 = ₹7,25,46,055 (≈ ₹7.25 crore).

Step 4, the blended equity-weight solve. Total capital = human capital + financial capital = ₹7,25,46,055 + ₹4,00,00,000 = ₹11,25,46,055. Human capital is 64.5% of Meera's total capital, by far her largest asset, and invisible on an ordinary net-worth statement. Treat her human capital as 80% bond-like / 20% equity-like (e_HC = 0.20; a senior, stable managerial role, not risk-free but far from equity-volatile), and target a blended (whole-of-life) equity weight of w_total = 55%. Solving e_HC × HC + w_FC × FC = w_total × (HC + FC) for the financial-capital equity weight: w_FC = [0.55 × 11,25,46,055 − 0.20 × 7,25,46,055] / 4,00,00,000 = 118.5%.

Read it. The math says Meera's financial portfolio should be levered past 100% equity to hit a 55% blended target, because her human capital, bond-like and enormous relative to her financial capital, is already doing most of the "safe asset" work in her overall life balance sheet. No honest IPS recommends leverage into equities for a salaried client, so the practical answer is 100% equity in the financial portfolio, documented explicitly as the ceiling that binds an unconstrained result, not as a rejection of the analysis. The insight survives the constraint: Meera can defensibly run a far more aggressive financial-portfolio allocation than a naive "60/40 for someone in their forties" rule of thumb would suggest, precisely because her paycheck is the bond her portfolio does not need to hold.

Worked example 2: Tax-loss harvesting and the wash-sale trap (US, $)

Grace holds 500 shares of a synthetic US index fund ("Meridian Total Market Fund"), cost basis $80,000 ($160.00/share), now worth $68,000 ($136.00/share), an unrealized loss of $12,000, held eight months (short-term). Her combined marginal rate on short-term gains/ordinary income is 35%. (Synthetic client and fund.)

Solution. Step 1, the loss, harvested correctly. If Grace has other capital gains this year to offset, the full $12,000 loss is usable immediately: tax value = $12,000 × 35% = $4,200. If she has no offsetting gains, US rules cap the deduction against ordinary income at $3,000 per year, with the remainder carried forward indefinitely: $3,000 used this year (tax value $1,050) and $9,000 carried forward.

Step 2, the correct execution. To keep her market exposure while banking the loss, Grace sells the fund and immediately buys a similar-but-not-identical index fund from a different provider or tracking a different (but comparable) index, not "substantially identical" in the IRS's sense, so no wash sale is triggered and the full loss is preserved.

Step 3, the mistake, and what it actually costs. Suppose Grace instead sells at the $12,000 loss and, twenty days later, inside the 30-day window: buys back the same fund. The wash-sale rule disallows the $12,000 loss for this year: it is added to the basis of the repurchased shares, $68,000 + $12,000 = $80,000, exactly her original basis, and the original eight months of holding period tacks onto the new shares.

Read it. The mistake is not fatal (the loss is deferred into the new position's basis, not vaporized, provided Grace does not repeat it) but it is a wasted year: she got zero current-year tax benefit for a loss she could have banked immediately by choosing a merely-similar replacement instead of the identical fund. The one version of this mistake that is fatal is repurchasing inside an IRA (hers or her spouse's), where the disallowed loss has no ordinary basis to attach to and the tax benefit is lost permanently, not deferred.

Worked example 3: Asset location: PPF versus a "specified" debt mutual fund (India, ₹)

A client contributes ₹1,50,000 (the Section 80C annual ceiling) to a debt-like allocation for 15 years (PPF's standard tenor) at an assumed 7%/year pre-tax return, comparing two locations for the same pre-tax growth: inside PPF, versus inside a taxable "specified" (debt-oriented) mutual fund taxed under Section 50AA. The client's marginal slab is 30%, plus a 4% health-and-education cess (an effective 31.2%).

Solution. Step 1, the common pre-tax growth. FV = ₹1,50,000 × (1.07)¹⁵ = ₹4,13,855 in both cases; only the tax treatment at the end differs.

Step 2: PPF (EEE). Contributions, interest, and maturity withdrawal are all exempt. After-tax FV = ₹4,13,855.

Step 3, the specified debt mutual fund (Section 50AA). Even though the fund was held the full 15 years, Section 50AA deems the gain short-term regardless of holding period, taxed at the investor's slab rate. Gain = ₹4,13,855 − ₹1,50,000 = ₹2,63,855; tax at the effective 31.2% = ₹82,323; after-tax FV = ₹4,13,855 − ₹82,323 = ₹3,31,532.

Step 4, the tax alpha. Correct location is worth ₹4,13,855 − ₹3,31,532 = ₹82,323 on this single contribution, an after-tax CAGR of 7.00% inside PPF versus 5.43% inside the specified debt fund, on an identical pre-tax return.

Read it. The gap exists purely because of where the money sits, not because of any difference in investment skill or market return, the definition of asset location as close to free money as private-wealth planning offers. It is also a sharp illustration of why Section 50AA matters: pre-2023, a debt fund held long enough earned a long-term rate with indexation; today, "specified" debt funds get no such benefit at any holding period, which materially changes where a tax-aware planner steers a client's debt allocation.

Worked example 4: Sequence-of-returns risk and a hand XIRR (US, $)

A retiree begins with a $2,000,000 portfolio and withdraws $80,000 at the end of each year, after that year's return is applied. Two 10-year return sequences share an identical arithmetic mean of 6.10%, in opposite order: Sequence A (bad-first) is −25%, −10%, +5%, +30%, +15%, +8%, +12%, +10%, +7%, +9%; Sequence B (bad-last) is the exact reverse.

Solution. Step 1: run both paths. Applying each year's return, then subtracting the $80,000 withdrawal, for 10 years: Sequence A ends at $1,987,711; Sequence B ends at $2,451,858, a difference of $464,147, despite the two sequences having exactly the same average annual return, because reversing an order preserves the sum (and therefore the mean) automatically.

Step 2: why the order matters. Sequence A's early losses (−25%, −10%) shrink the base while withdrawals are simultaneously pulled from it, so the same later gains (+30%, +15%...) compound on a permanently smaller balance. Sequence B's early gains build a larger base first, so the same eventual losses (arriving in years 9–10) bite a cushion built by prior growth rather than an already-depleted one.

Step 3, the hand XIRR. Take Sequence A's cash-flow stream from the retiree's perspective: an initial outflow of −$2,000,000 at t=0, then +$80,000 at the end of each of years 1–9, and the year-10 cash flow of $80,000 plus the ending portfolio value, $80,000 + $1,987,711 = $2,067,711, as a final "liquidation." Solve Σ CFₜ / (1+r)ᵗ = 0 for r by Newton-Raphson, starting from a 5% guess: iteration 0 gives NPV = −$161,979 at r = 5.00%, moving to r = 3.8922%; iteration 1 gives NPV = +$9,193 at r = 3.8922%, moving to r = 3.9485%; by iteration 2 the NPV is $25.76, and by iteration 3 it has converged to r = 3.949%. An independent bisection search on the same cash flows converges to the identical 3.949%.

Read it. Sequence A's money-weighted (XIRR) return of 3.949% is well below its own 6.10% arithmetic-mean return, the gap is sequence-of-returns risk, quantified in a single number: the retiree who lived through Sequence A actually earned less, on a money-weighted basis, than the "average return" of the years they lived through would suggest, purely because of when the withdrawals collided with the losses.

Worked example 5: Unwinding a concentrated ESOP position (India, ₹)

Karthik, 38, holds vested employee stock options in his employer, a recently listed Indian technology company, now worth ₹4,00,00,000, against a cost of acquisition for capital-gains purposes (the fair market value on the date of exercise, per Section 17(2)(vi) mechanics) of ₹40,00,000, held over 12 months (long-term). His remaining net worth (diversified) is ₹1,20,00,000. (Synthetic client and company.)

Solution. Step 1: measure the concentration. Total net worth = ₹4,00,00,000 + ₹1,20,00,000 = ₹5,20,00,000; the ESOP position is 4,00,00,000 / 5,20,00,000 = 76.9% of everything Karthik owns, in a single listed stock that also happens to be his employer.

Step 2, a staged sale, taxed correctly. The basis fraction of current value is ₹40,00,000 / ₹4,00,00,000 = 10.0% (90.0% is embedded gain). Selling a ₹80,00,000 tranche: embedded gain = ₹80,00,000 × 0.90 = ₹72,00,000; taxable after the ₹1,25,000 annual exemption = ₹70,75,000; LTCG tax at 12.5% = ₹8,84,375; net proceeds = ₹71,15,625.

Step 3, does staging actually save tax here? Selling the entire ₹4,00,00,000 position in one year instead: gain = ₹3,60,00,000; taxable after the single year's exemption = ₹3,58,75,000; tax at 12.5% = ₹44,84,375. Five staged ₹80,00,000 tranches over five years total ₹8,84,375 × 5 = ₹44,21,875 in tax, a saving of only ₹62,500, exactly four extra years' worth of the ₹1,25,000 exemption at 12.5% (4 × ₹1,25,000 × 12.5% = ₹62,500). At India's flat LTCG rate, staging buys almost no tax benefit; its real value is execution, insider-trading-window compliance, and behavioral pacing, not bracket management.

Step 4, a collar's payoff, illustratively. On a ₹1,00,00,000 tranche Karthik chooses to hedge rather than sell immediately, a zero-cost collar, a protective put struck at 90% of spot paired with a covered call struck at 110% of spot, bounds the tranche's value between a floor of ₹90,00,000 and a cap of ₹1,10,00,000 (strike selection, pricing, and Greeks-level management: DV1.02–DV1.03).

Read it. Karthik's position is not "concentration this program admires", it is an accident of employment, correlated with the same paycheck that would disappear if his employer had a bad year, and the unwind plan treats it as a risk-management problem precisely for that reason, not because concentration is wrong in general.

Worked example 6: Step-up in basis versus a lifetime gift, and the estate exemption (US, $)

A client holds appreciated stock, original basis $200,000, current fair market value $1,700,000 (an embedded gain of $1,500,000), and is deciding whether to hold it until death for their heir, or gift it during life. Separately, the same client's total estate is $22,000,000. (Synthetic client; the 2026 exemption and rate figures below are real, cited to the IRS.)

Solution. Step 1: hold until death (step-up). Under IRC §1014, the heir's basis resets to the $1,700,000 date-of-death fair market value. If the heir sells immediately at $1,700,000: gain = $0; tax = $0.

Step 2: gift during life (carryover basis). The heir instead inherits the donor's original $200,000 basis. Selling immediately at $1,700,000: gain = $1,500,000; tax at a combined 23.8% (20% long-term capital gains + 3.8% Net Investment Income Tax) = $357,000.

Step 3, the tax cost of gifting instead of holding. $357,000 − $0 = $357,000, the value of the step-up, for this one asset, in this one scenario. (The mirror-image rule: an asset sitting on an unrealized loss should generally be sold before death, since basis steps down at death too, permanently destroying an otherwise-usable loss.)

Step 4, the estate tax itself. With the 2026 basic exclusion of $15,000,000 (IRS, under the One Big Beautiful Bill Act), a $22,000,000 single estate has a taxable estate of $22,000,000 − $15,000,000 = $7,000,000, taxed at the flat 40% rate above the exclusion = $2,800,000. With spousal portability (electing to use a deceased spouse's unused exclusion), the combined exclusion becomes $30,000,000, the estate sits entirely below it, and the federal estate tax due is $0.

Read it. Two entirely separate levers, easily confused: step-up-in-basis planning is about which assets to hold until death versus gift now, and matters for nearly every taxable client with any embedded gain; the estate tax itself, at a $15,000,000-per-person 2026 exclusion, binds only a small fraction of estates, but for the ones it does bind, portability alone can be the difference between a multi-million-dollar tax bill and none at all.

Practice set

Work each problem before reading its solution. All client figures are synthetic; all cited rates, thresholds, and rules are real and sourced in Reading & Resources (treat every one as "as of mid-2026) verify against the current Finance Act / IRS release / PFRDA circular" before relying on it past this year.

P1 (guided). Net-worth statement and financial capital. A client holds a brokerage account (₹95,00,000), a PPF balance (₹22,00,000), and a home (₹1,10,00,000), against a car loan (₹8,00,000) and a personal loan (₹3,00,000). Compute total assets, total liabilities, net worth (confirming it balances), and financial capital (excluding the home).

Solution. Assets = ₹95,00,000 + ₹22,00,000 + ₹1,10,00,000 = ₹2,27,00,000. Liabilities = ₹8,00,000 + ₹3,00,000 = ₹11,00,000. Net worth = ₹2,27,00,000 − ₹11,00,000 = ₹2,16,00,000. Check: Liabilities + Net worth = ₹11,00,000 + ₹2,16,00,000 = ₹2,27,00,000 = Assets: balances. Financial capital (excl. home) = ₹95,00,000 + ₹22,00,000 = ₹1,17,00,000.

P2 (guided). Human capital at a different age. A 50-year-old client retiring at 60 (n = 10) earns ₹65,00,000/year, expecting 4% annual growth, discounted at 8% for income risk. Compute the present value of human capital.

Solution. C₁ = ₹65,00,000 × 1.04 = ₹67,60,000. PV factor = [1 − (1.04/1.08)¹⁰] / (0.08 − 0.04) = 7.8590. Human capital = ₹67,60,000 × 7.8590 = ₹5,31,26,922 (≈ ₹5.31 crore), smaller than Worked Example 1's figure, both because the growth rate is lower and, more importantly, because only 10 years remain rather than 20; human capital shrinks toward zero as retirement approaches, exactly as this module's core content describes.

P3 (guided). The liquidity constraint, quantified. A client's monthly expenses are ₹3,00,000; their emergency reserve holds ₹12,00,000, against a stated policy floor of 6 months of expenses. State the shortfall in months and in rupees.

Solution. Months covered = ₹12,00,000 / ₹3,00,000 = 4.0 months. Shortfall against the 6-month floor = 6.0 − 4.0 = 2.0 months = 2.0 × ₹3,00,000 = ₹6,00,000. This is exactly the kind of specific, executable liquidity statement this module's constraints section asks for, not "the client needs more cash," but the precise gap.

P4. Solve for the financial-capital equity weight. A client has human capital of ₹3,00,00,000 (20% equity-like, 80% bond-like) and financial capital of ₹1,50,00,000. The target blended equity weight is 50%. Solve for the required financial-capital equity weight, and check it.

Solution. Total capital = ₹4,50,00,000. w_FC = [0.50 × 4,50,00,000 − 0.20 × 3,00,00,000] / 1,50,00,000 = [2,25,00,000 − 60,00,000] / 1,50,00,000 = 1,65,00,000 / 1,50,00,000 = 110.0%. Check: (0.20 × 3,00,00,000 + 1.10 × 1,50,00,000) / 4,50,00,000 = (60,00,000 + 1,65,00,000)/4,50,00,000 = 50.0% exactly. Correct, and, as in Worked Example 1, the unconstrained answer sits above 100%, so the practical recommendation is 100% equity in the financial portfolio, documented as constrained.

P5. Tax-loss harvest with a partial offset. A US investor has an $18,000 loss, a 32% marginal rate, and $10,000 of other short-term gains this year. Compute how much of the loss is used this year, how much carries forward, and the total current-year tax value.

Solution. The $10,000 of other gains is fully offset first: $10,000 used, leaving $8,000 of loss. Of that remainder, $3,000 can offset ordinary income (the annual cap); $5,000 carries forward indefinitely. Total current-year tax value = ($10,000 + $3,000) × 32% = $4,160.

P6. A wash sale through a spouse's IRA. An investor sells Fund X at a $9,500 loss on March 1; their spouse's IRA buys Fund X on March 20. Does the wash-sale rule apply, and what happens to the loss?

Solution. Yes: the wash-sale rule's reach extends to a repurchase inside an IRA, including one belonging to the taxpayer's spouse (IRS guidance, including Revenue Ruling 2008-5 on the IRA case), so the March 20 purchase, inside the 30-day window, is a wash sale. Because the repurchase happened inside an IRA rather than a taxable account, the $9,500 disallowed loss has no ordinary basis to attach to in the normal way, the tax benefit is permanently forfeited, not merely deferred, which is precisely why any related-account repurchase, by either spouse, in any wrapper, must be checked before it happens, not after.

P7. Section 94(7) when the loss is smaller than the dividend. An Indian investor buys before a record date, receives a ₹8,000 dividend, and sells at a loss of ₹5,000 within the Section 94(7) window. How much of the loss is usable?

Solution. Disallowed = min(loss, dividend) = min(₹5,000, ₹8,000) = ₹5,000, the entire loss, because it does not exceed the dividend received. Usable loss = ₹0. (Contrast Worked Example 2's Indian-regime companion, where a ₹60,000 loss against a ₹15,000 dividend leaves ₹45,000 usable, only the portion up to the dividend is ever disallowed.)

P8. Asset location, a lump sum. ₹5,00,000 is invested for 10 years at 6.5% pre-tax, comparing PPF against a specified debt mutual fund for a client in the 20% slab (plus 4% cess, 20.8% effective). Compute both after-tax outcomes and the tax alpha.

Solution. FV pre-tax = ₹5,00,000 × (1.065)¹⁰ = ₹9,38,569. PPF after-tax FV = ₹9,38,569. Specified debt MF: gain = ₹4,38,569; tax at 20.8% = ₹91,222; after-tax FV = ₹8,47,346. Tax alpha = ₹9,38,569 − ₹8,47,346 = ₹91,223 (rounding).

P9. Funding ratio and the required SIP. A goal needs ₹25,00,000 in 5 years; ₹10,00,000 is currently earmarked, expected to grow at 7%/year. Compute the funding ratio and the monthly SIP required to close the future-value gap.

Solution. FV of current earmark = ₹10,00,000 × (1.07)⁵ = ₹14,02,552. Funding ratio = 14,02,552 / 25,00,000 = 56.1%. Shortfall (FV terms) = ₹25,00,000 − ₹14,02,552 = ₹10,97,448. Monthly equivalent rate = (1.07)^(1/12) − 1 = 0.565415%. Over 60 months the future-value annuity factor is [(1.00565415)^60 − 1] / 0.00565415 = **71.1959**, so the required monthly SIP is 10,97,448 / 71.1959 = **₹15,414**.

P10. A minimal, two-year sequence-risk illustration. $5,00,000 (₹ or $, your choice of market) withdraws $40,000/year; Sequence A is +20% then −20%; Sequence B is −20% then +20%. Both have a 0% two-year arithmetic mean. Compute both terminal values.

Solution. Sequence A: (500,000 × 1.20 − 40,000) = 560,000; (560,000 × 0.80 − 40,000) = 408,000. Sequence B: (500,000 × 0.80 − 40,000) = 360,000; (360,000 × 1.20 − 40,000) = 392,000. Difference = 16,000, despite an identical two-year average return of 0%, sequence risk is visible even at the smallest possible scale, two periods.

P11. A short hand XIRR. A three-year cash-flow stream is −300,000 at t0, +20,000 at t1, +20,000 at t2, +310,000 at t3. Solve for the XIRR by Newton-Raphson.

Solution. Starting from a 5% guess: iteration 0 gives NPV = +4,977.86 at r = 5.00%, moving to r = 5.6087%; iteration 1 gives NPV = +55.93, moving to r = 5.6157%; by iteration 2 the NPV is effectively zero. XIRR ≈ 5.616%.

P12. Concentrated-position tax, fresh numbers. A ₹2,50,00,000 position has a cost basis of ₹50,00,000 (20% of value). Selling a ₹50,00,000 tranche, compute the gain, the tax, and the net proceeds.

Solution. Basis fraction = 20.0%, so the tranche's embedded gain = ₹50,00,000 × 0.80 = ₹40,00,000. Taxable after the ₹1,25,000 exemption = ₹38,75,000. Tax at 12.5% = ₹4,84,375. Net proceeds = ₹50,00,000 − ₹4,84,375 = ₹45,15,625.

P13. Step-up versus gift, fresh numbers. Basis $50,000, current FMV $6,00,000 (i.e., $600,000). Compute the tax if held to death (step-up) versus gifted and sold immediately.

Solution. Step-up: heir's basis = $600,000; sells at $600,000; gain = $0; tax = $0. Gift: heir's basis = $50,000 (carryover); gain = $550,000; tax at 23.8% = $130,900.

P14. Estate tax, a different-sized estate. An $18,000,000 single estate against the 2026 $15,000,000 exclusion. Compute the tax due, then recompute assuming spousal portability (a $30,000,000 combined exclusion).

Solution. Single: taxable estate = $18,000,000 − $15,000,000 = $3,000,000; tax at 40% = $1,200,000. With portability: taxable estate = $18,000,000 − $30,000,000 → below zero, so taxable estate = $0; tax = $0. Portability alone eliminates this estate's entire federal tax bill.

P19. Human-life-value cover, from the income statement up (India, ₹). A client aged 40 earns ₹36,00,000 gross, faces an effective 30% tax burden, and spends ₹6,00,000 a year on themselves. They expect to work to 60, with earnings growing 6% a year, and you discount at 8%. Existing employer group cover is ₹50,00,000. Compute the human-life-value requirement and the shortfall, then state the one thing this method does not ask.

Solution. After-tax income = 36,00,000 × 0.70 = ₹25,20,000; less own consumption = ₹19,20,000 a year contributed to the family. Growing-annuity present value over 20 years: 19,20,000 × [1 − (1.06/1.08)^20] / (0.08 − 0.06). The ratio 1.06/1.08 = 0.981481 and 0.981481^20 = 0.688085, so the factor is (1 − 0.688085)/0.02 = 15.59575 and HLV = **₹2,99,43,824**. Against ₹50,00,000 of existing cover the shortfall is ₹2,49,43,824, so roughly ₹2.5 crore of additional term cover. What the method never asks is what the survivors actually need. It capitalises the earner's contribution, so it will overstate the requirement for a family with few dependants and a paid-off house, and understate it for one with a large mortgage and two school fees ahead. Run the needs-based method beside it and treat the gap as the agenda for the client meeting.

P20. Needs-based cover, and what the gap between methods means (US, $). A client's household would need $95,000 a year after their death; the surviving spouse earns $48,000 after tax and has 25 years to their own retirement. Discount the gap at a 2% real rate. Lump-sum needs are a $310,000 mortgage payoff, a $180,000 education fund and $25,000 of final expenses. Existing resources are $420,000 of financial assets and $250,000 of group life. (a) Compute the insurance need. (b) The same client's human-life-value figure is $1,450,000. State what the difference tells you and how it should be recorded in the policy statement.

Solution. (a) Annual gap = 95,000 − 48,000 = $47,000. The 25-year annuity factor at 2% is (1 − 1.02^−25)/0.02 = 19.523456, so the present value of the income gap is 47,000 × 19.523456 = **$917,602**. Lump sums total 310,000 + 180,000 + 25,000 = $515,000; existing resources total 420,000 + 250,000 = $670,000. Need = 917,602 + 515,000 − 670,000 = **$762,602**. (b) The human-life-value figure exceeds the needs-based figure by about $687,000, which says the client earns considerably more than the household plans to spend. That excess is not a protection need; it is a bequest decision, and the policy statement should record it as one, with its own objective and its own review trigger, rather than burying it inside a cover amount. Note also that the group-life component of the existing resources disappears if the client changes employer, which is a review trigger in its own right.

P21. The mortality credit, computed, and the annuitisation decision (US, $). (a) One thousand 65-year-olds each pay $100,000 into an annuity pool earning 4% for a year, and 1% of them die during it. Compute what each survivor's share is worth, the survivor's effective return, and the mortality credit. (b) Recompute the credit at mortality rates of 3% and 6%, and say what the pattern implies about when to annuitise. (c) A 67-year-old with $1,900,000, essential spending of $54,000 and $26,000 of guaranteed pension income wants the essential floor covered. At a 6.2% immediate-annuity payout rate, how much premium is required, and what share of the book is that?

Solution. (a) The pool grows to 1,000 × 100,000 × 1.04 = $104,000,000, shared among 990 survivors, so each holds **$105,050.51**. The effective return is 105,050.51/100,000 − 1 = **5.0505%** against the pool's own 4%, so the mortality credit is 1.0505 percentage points. (b) At 3% mortality the survivor's return is 1.04/0.97 − 1 = **7.2165%**, a credit of 3.2165 points; at 6% it is 1.04/0.94 − 1 = **10.6383%**, a credit of 6.6383 points. The credit rises steeply with age because mortality does, which is the argument for annuitising later rather than earlier, and the sharpest form of it is the deferred income annuity bought at 65 to start at 85. Against that, waiting exposes the client to the very longevity risk they are trying to transfer, and to whatever payout rates prevail when they finally buy. (c) The floor gap is 54,000 − 26,000 = $28,000 a year; at a 6.2% payout the premium is 28,000/0.062 = **$451,613**, which is 23.8% of the $1,900,000 book, leaving $1,448,387 invested. Note that the payout rate quoted is nominal, so a full answer prices what 20 years of 2% inflation does to a fixed $28,000.

Applied mini-project

Write a private-client IPS and goals-based plan, one Indian client, one US client. Rubric pass mark ≥80% per client; this is the certifying deliverable, and the app's mastery gate for the node is the quiz at ≥85%.

The assignment

Choose (or construct, following the required attributes below) one synthetic Indian client and one synthetic US client, and produce, for each, a complete Investment Policy Statement and goals-based plan following the structure in the next section, roughly 900–1,100 words per client. Every number in each document must be internally consistent (a net-worth statement that balances; a funding ratio computed from stated inputs; a tax figure computed from a rate you cite) and every cited tax or regulatory figure must carry a named primary source or an explicit "illustrative assumption" label. Mark every client fact synthetic; do not use a real person's data.

Required client attributes (build your own, or adapt the module's personas)

Each of your two clients must have: a stated age and target retirement age (a real time horizon); at least two distinct financial goals with different horizons (at minimum, a near-term liquidity/lifestyle goal and a long-horizon retirement or legacy goal); a stated current portfolio, home, and any debt (enough to build a balance sheet that balances); a salary or income stream (enough to compute human capital); and one genuine "unique circumstance" (a concentrated position, a closely-held business interest, or an equivalent complication) that the plan must explicitly address, not quietly ignore.

The document (structure is mandatory; ~900–1,100 words + 1 exhibit, per client)

1. Header (3–5 lines): client (synthetic, no PII), age, target retirement date, net worth, and a one-line statement of the plan's overall verdict ("on track for stated goals with a documented equity-ceiling adjustment"; "retirement goal underfunded: required SIP stated below"; etc.).
2. Return and risk objectives (short paragraph each): the return objective as a range, derived from the goals-based work below, not asserted independently; the risk objective stated as ability and willingness, with the more conservative one flagged as binding if they disagree.
3. The five constraints, each with a real number or a named policy, not a generic sentence: time horizon(s); liquidity (reserve held vs. policy floor, in months and currency); tax (jurisdiction, marginal rate, wrapper structure); legal and regulatory (at minimum one named rule or regulator relevant to this client); unique circumstances (the required complication, named and quantified).
4. Human capital vs. financial capital (table + 3–4 lines): the PV of human capital computed with stated inputs; the net-worth statement, shown to balance; the solved financial-capital equity weight against a stated blended target, with the 100%-ceiling judgment call made explicitly if the unconstrained solve exceeds it.
5. Goals-based plan (table): each goal, its target, its current funding, its computed funding ratio, and (for any goal below 90% funded) the required additional periodic contribution to close the gap.
6. Tax-aware structure (4–6 lines): the asset-location decision for this client's wrappers, and, if a loss-harvesting opportunity or a wash-sale/Section-94(7)-type trap is present in the scenario you built, how it is handled correctly.
7. The unique circumstance, resolved (5–8 lines): if a concentrated position, its unwind plan (staged sale with tax computed, or a stated reason staging does not help much in this jurisdiction, plus the relevant compliance constraint named); if a different complication, its explicit resolution.
8. Estate and decumulation implications (4–6 lines): whichever is closer to relevant for this client's age and stage (the estate/step-up-versus-gift decision, or the decumulation withdrawal plan and its sequence-of-returns exposure) computed, not merely mentioned.
9. Exhibit: the net-worth statement and the goals-based funding-ratio table, laid out so a reviewer can check the arithmetic without opening a model.

Grading rubric (score each client's document separately; 0 = absent/wrong, 1 = present with gaps, 2 = professional)

Pass = ≥80% per client (≥22/28), with no zero on criteria 1–4 (a broken balance sheet or a wrong human-capital solve undermines everything built on top of it, so a zero there caps the attempt at fail until fixed). Protocol: finish both documents completely, score each against the rubric in writing, log your score and your single biggest miss in your journal. Both clients must pass to clear the module.

Case Lab: run case CL-PW.1 (The Concentrated Founder) in the app's Cases tab for a graded, never-seen variant of exactly this exercise, set a founder's required return, price a staged-versus-lump-sum diversification of her concentrated stock, and build her after-tax goals-based buckets, the same machinery Worked Example 5 and this mini-project's rubric both build.

Reading & resources

Everything below is a source to verify against, never a fact to repeat unchecked, tax and regulatory rules in this module are perishable by statute, and every rate or threshold cited here should be re-confirmed against the current version of its named source before you rely on it with a real client.

Foundational private-wealth texts:

• Maginn, Tuttle, McLeavey & Pinto (eds.), Managing Investment Portfolios: A Dynamic Process, the individual-investor IPS chapter is the reference this module's five-constraint structure draws on. [Paid] [Intermediate–Advanced]
• Ibbotson, Xiong, Kreitler, Kreitler & Chen on human capital and asset allocation, the original "human capital as a bond-like or equity-like asset" framing this module's human-capital section builds from. [Paid, in academic/practitioner journals] [Advanced]
• William Bengen's original safe-withdrawal-rate research, and the later "Trinity study" literature, the source and the scope conditions of the "4% rule" heuristic; read for the sample and assumptions, not just the headline number. [Free summaries widely available; original papers may be paywalled] [Intermediate]
• Ashvin Chhabra's goals-based / wealth-allocation framework: the "personal / market / aspirational" style of bucketing this module's goals-based section generalizes from. [Paid, in his book and related articles] [Intermediate]

Primary tax and regulatory sources, the ones this module cites directly:

• US: IRS.gov: the wash-sale rule (via SEC/Investor.gov and IRS Publication 550); Required Minimum Distribution rules (IRS retirement-plan FAQ page, SECURE 2.0); the 2026 estate/gift tax exclusion and annual gift exclusion (IRS newsroom release on 2026 inflation adjustments, under the One Big Beautiful Bill Act); step-up in basis (IRC §1014). [Free] [Intermediate–Advanced]
• US (Revenue Ruling 2008-5) the IRA wash-sale-attribution ruling behind this module's spouse's-IRA caution. [Free, via IRS/tax-research databases] [Advanced]
• India: Income Tax Department (incometaxindia.gov.in): Sections 111A/112A (listed-equity STCG/LTCG); Section 50AA (specified mutual funds, inserted by the Finance Act 2023, refined by the Finance Act 2024); Section 74 (capital-loss carry-forward, 8 assessment years); Sections 94(7)/94(8) (dividend/bonus stripping); Section 49(1) (inherited-asset carryover basis); Section 17(2)(vi) (ESOP perquisite taxation). [Free] [Intermediate–Advanced]
• India (AMFI Investor Knowledge Center) a clear practitioner summary of the current mutual-fund tax regime, useful as a starting point before checking the Act itself. [Free] [Beginner–Intermediate]
• India (PFRDA circulars on NPS exit and withdrawal) the current annuitization/lump-sum rules, including the live gap against Section 10(12A)'s tax-exemption ceiling discussed in this module. [Free] [Intermediate]
• India (the Estate Duty Act, 1953 (repealed 1985) and the current absence of a successor estate tax) background for the "no estate duty in India" statement; treat any claim of reinstatement as unverified until checked against a current Finance Act. [Free, government archives] [Beginner]

Sources for trusts, concentrated positions, education accounts and family governance:

• Ibbotson, Milevsky, Chen & Zhu, Lifetime Financial Advice: Human Capital, Asset Allocation, and Insurance (CFA Institute Research Foundation, 2007), human capital valued at a discount rate that reflects how risky the earnings are, and its link to asset allocation and life insurance. [Free] [Advanced]
• US: IRS Revenue Ruling 2003-7 (prepaid variable forwards, and when one becomes a sale) and Internal Revenue Code sections 721 and 704(c)(1)(B) (exchange funds: the tax-free contribution, the investment-company limit and the seven-year rule). [Free] [Advanced]
• US: Internal Revenue Code section 529 and IRS Publication 970 (education accounts: qualified expenses, the extra 10% tax, beneficiary changes) and SEC Regulation S-K Item 407(i) (disclosure of hedging policies). [Free] [Intermediate]
• India: the Indian Trusts Act, 1882 (section 78, revocation of trusts); SEBI (Prohibition of Insider Trading) Regulations, 2015 and SEBI's FAQs on them (trading window, pre-clearance, contra trades, derivatives); the Sukanya Samriddhi Account Scheme rules as published by India Post and the authorised banks. [Free] [Intermediate]
• IFC, Family Business Governance Handbook (2011), family constitutions, family assemblies and family councils, with sample documents. [Free] [Intermediate]

Cross-references inside this program (never re-derive, always cross-check): M6.04 (behavioral finance, the ability-vs-willingness and bias-catalog inputs this module leans on); M3.10 §4.6–4.7 (sum-of-the-parts/holdco discount, and equity-as-an-option for pre-liquidity founder equity); E11.02 §4.1 (deal consideration mechanics that determine what a client actually receives from a liquidity event); AA1.02 (the goals-based portfolio-construction machinery this module hands off to); QM1.03 and the quant-code region (Monte Carlo simulation construction); DV1.02–DV1.03 (option pricing and the Greeks behind the collar mentioned here); ES1.01–ES1.02 (the formal fiduciary-duty and GIPS framework governing an actual adviser's conduct).

Teach it back & journal

Feynman prompt. Explain to a colleague who has only ever built company valuations, never a client plan, why "the biggest asset most of your clients own is invisible on their net-worth statement" is true, using the human-capital-as-a-bond-or-equity idea, with a real number. Then explain, in the same breath, why a client's 76.9%-concentrated ESOP position (Worked Example 5) is not an example of the concentration philosophy this program otherwise celebrates, using the human-capital correlation argument, not a generic "diversification is good" platitude. If your colleague can, unprompted, predict that staging a large Indian stock sale across years saves far less tax than the identical move would in the US, and say why: naming India's flat 12.5% rate versus the US's progressive brackets, you have installed this module's sharpest India-versus-US distinction.

Journal prompt. Build the two IPS-and-plan documents this module's Applied Mini-Project requires, score them yourself against the rubric, and then write three paragraphs. First: which single rubric criterion did you score lowest on, and why, was it a computational slip, or did you genuinely not have the fact (a tax rate, a regulatory name) at hand and have to look it up? Second: pick one number you cited from memory before checking this module's Reading & Resources, and describe exactly how you would verify it today, by name, against its actual primary source, if a real client were sitting across from you right now. Third, the discipline this whole module exists to install, write one sentence stating why "the AI's answer sounded confident" is worth exactly nothing as evidence in this specific domain, and one sentence stating what you will personally do, as a standing habit, before any tax or estate figure you did not personally verify ever reaches a client document.

This module's flashcards and mastery quiz are wired into the app: see the node's Quiz and Reviews.