Learning objectives
By the end you can:
- Define alternatives and, within them, real assets in the CAIA/CFA sense, and state the four reasons a portfolio holds them (diversification, inflation linkage, income/complexity premium, illiquidity premium) along with the caveat attached to each.
- Decompose the total return of a fully-collateralized long commodity-futures position into its three sources (spot return, roll return, and collateral return) using an index's own Spot / Excess-Return / Total-Return levels, and reconcile the three so they tie out exactly.
- Define backwardation and contango precisely by futures-curve shape, sign the resulting roll yield correctly in each case, and explain the curve shape through both the cost-of-carry / convenience-yield model and Keynes's normal-backwardation (hedging-pressure) theory.
- Compare commodity index construction (S&P GSCI vs the Bloomberg Commodity Index (BCOM)) by weighting methodology and diversification rule, and compute how the same underlying commodity move produces materially different index returns depending on which one you hold.
- Place real estate on the direct-vs-listed access spectrum, explain the appraisal-smoothing artifact and why it inflates real estate's apparent diversification benefit, and classify a real-estate investment by risk style (core / core-plus / value-add / opportunistic) building on, without repeating, M5.09's REIT operating metrics (NOI/FFO/AFFO/cap rate).
- Classify an infrastructure asset by economic-vs-social risk and greenfield-vs-brownfield stage, explain why regulated or concession-contracted infrastructure cash flows carry the strongest and most mechanical inflation linkage of the three asset classes in this module, and compare India's InvIT structure to a REIT and to the US MLP.
- Compute a portfolio's variance and volatility with and without a real-assets sleeve from a stated correlation matrix, and show (with the arithmetic, not an assertion) why the diversification benefit shrinks in a crisis.
- State, for each of the three asset classes, the India-vs-US market-structure difference: MCX vs CME/NYMEX commodity access; InvIT vs MLP infrastructure vehicles; India's REIT/InvIT-concentrated menu vs the US's multi-sector REIT universe.
Prerequisites & connections
Builds on. M5.09 (Commodities, Real Estate & REITs) is this module's closest neighbor and its operating-metrics supplier, you already know how to build a commodity producer's cost curve and mid-cycle valuation, and a REIT's NOI → FFO → AFFO walk and cap-rate NAV; this module never rebuilds any of that arithmetic, it references it and asks the allocation question on top. M7.06's §4.10 taught oil, gold, and copper as macro signals, indicators an economy-watcher reads for inflation, real rates, and growth; this module treats the same three commodities as an investable asset class with its own return mechanics, the macro-signal reading and the asset-class reading describe the same instruments from different chairs and are companions, not competitors. M3.02 supplied the CAPM/efficient-frontier foundation and AA1.01 builds the full mean-variance-optimization machinery (the efficient frontier, the tangency portfolio, input-sensitivity) that this module's portfolio-variance arithmetic (§"Bringing it together") deliberately borrows one formula from without re-deriving the optimizer, if you want the full MVO build, that is AA1.01's job, not this module's. M9.01/M9.02 supplied the concentrated-investor risk lens (position sizing, correlation as the hidden risk) that this module's diversification arithmetic extends to a fully diversified-allocator context. E11.01 built the credit-investor's toolkit (spread decomposition, covenants, the priority-of-claims waterfall) that governs the debt tranches of real-asset and infrastructure deals (direct lending against a toll road or a warehouse portfolio); this module points there rather than re-teaching it, because AL1.02 is about the equity/allocation question, not credit analysis.
Feeds into / sits beside. AL1.01 (Hedge-Fund Strategies & Fund Structures) is this branch's other allocator-facing module, its managed-futures/CTA strategies trade the exact commodity futures curves this module explains, and its fee/structure toolkit (2/20, gates, lock-ups) applies just as much to a private real-assets or infrastructure fund. AL1.03 (Digital Assets & Crypto as an Asset Class) is the next new asset class in the same allocator's-eye sequence, you will recognize the same four-reasons-to-hold and correlation-honesty questions asked there. PW1.03 (Private Markets II) owns the deal-level valuation of a private real asset or infrastructure investment (cash yield and concession-life discounting, illiquidity and control adjustments) this module explicitly borrows PW1.03's concession-life concept for the inflation-linkage discussion but does not build its DCF; that valuation machinery is PW1.03's to teach. MS1.04 covers stablecoins and the mechanics of crypto money, relevant background if you continue into AL1.03. Across the Finance galaxy, this is one of nine Finance-Plus Ring branches; like every branch in the Ring, its first module (AL1.01) is accessible from day one with no phase prerequisite, and this module continues that same branch chain.