V8 Alternative Investments Errata: Fees, Private Capital, and Digital Assets

1. Module 2 — Example 4 Substitutes the Wrong Fee Base and High-Water Mark

Curriculum location: Alternative Investment Returns, Example 4, Question 2 solution, p. 48.

$$=\mathrm{USD}110\text{ million}\times 1\%+\max [0,(\mathrm{USD}110\text{ million}-\mathrm{USD}122.7\text{ million})\times 20\%]$$

Equation 8 on the same page deducts management fees before comparing fund value with the high-water mark. The worked substitution omits that deduction. It also uses $122.7$ million even though the preceding year's ending capital, the return calculation, and the following high-water-mark table establish $122.96$ million.

Both the printed and corrected performance-fee bases are negative, so the zero floor produces no incentive fee in either case. The total fee of $1.1$ million and investor return of $-11.435\%$ are therefore unchanged. Their agreement does not validate the displayed substitution.

Correct reading: With amounts in millions, use $110\times 1\%+\max [0,(110\times 0.99-122.96)\times 20\%]=1.1$. Deduct management fees before testing the net high-water mark, and retain the investor return of $-11.435\%$.

When reusing this method, a candidate must preserve the specified fee base and historical net high-water mark even when a zero incentive fee conceals an incorrect setup.

2. Module 2 — The Hard-Hurdle Comparison Uses Ending Capital for the Fee Reduction

Curriculum location: Alternative Investment Returns, paragraph between Examples 4 and 5, p. 49.

"they would both realize a fee reduction in the case of a hard hurdle equal to $P_t\times r_h\times p$, or the product of the end-of-period fund value for year $t$, the hurdle rate, and the performance fee."

The curriculum's own Equation 7 on p. 47 applies the hurdle to beginning capital. Its worked fees are $7.04$ million without a hurdle and $5.84$ million with the hard hurdle, a reduction of $1.20$ million. This equals $100\times 6\%\times 20\%$, using beginning capital. Using ending capital as the quoted paragraph instructs gives $130\times 6\%\times 20\%=1.56$ million, which cannot reproduce that reduction.

The full reduction also requires gains after management fees to exceed the hurdle amount. Otherwise, the zero floor on incentive fees limits the reduction.

Correct reading: When gains after management fees exceed the hard hurdle, the fee reduction equals beginning-of-period capital multiplied by the hurdle rate and the performance-fee rate: $P_{t-1}\times r_h\times p$. Retain the zero floor when calculating incentive fees. In this example, the reduction is $1.20$ million.

A candidate who uses the management fee's ending-AUM basis for the hurdle allowance will overstate the fee reduction and the investor's after-fee return.

3. Module 2 — Example 5 Computes and Reuses an Incorrect Fee of $4.85$ Million

Curriculum location: Alternative Investment Returns, Example 5 solution, p. 49.

$$\begin{array}{rl}& =\mathrm{USD}128\text{ million}\times 1\%+\max [0,(\mathrm{USD}128\text{ million}\times 0.99-\mathrm{USD}108.9\text{ million})\times 20\%]\\ & =\mathrm{USD}4.85\text{ million}.\end{array}$$

The displayed inputs give a management fee of $1.28$ million and an incentive fee of $3.564$ million, totaling $4.844$ million. Rounding that fee to two decimal places gives $4.84$ million, not $4.85$ million. No upward rounding rule is stated.

The next line subtracts the incorrect fee when calculating the investor's return. The exact return is $13.090909\dots \%$; using the printed fee gives approximately $13.085399\%$. Both round to the printed final answer of $13.09\%$, but the intermediate fee calculation remains incorrect.

Correct reading: Carry the exact fee of $4.844$ million into the return calculation: $r_i=(128-108.9-4.844)/108.9=13.090909\dots \%$. The reported final return remains $13.09\%$.

Keeping full precision in intermediate fees makes the worked calculation reproducible and prevents an incorrectly rounded amount from entering the next step.

4. Module 2 — Practice Problem 7 Gives Conflicting Fee Instructions

Curriculum location: Alternative Investment Returns, Practice Problem 7, p. 60; solution, p. 63.

The fee-structure bullet states:

"Incentive fees (and hurdle rate considerations) are determined post management fees"

The question then instructs:

"Assume performance fees and management fees are calculated independently."

The two fee bases produce different listed answers. With amounts in millions, the management fee is $642\times 2\%=12.84$. Deducting it first leaves $629.16$. The applicable threshold is $\max [610,583.1\times 1.04]=610$, so the incentive fee is $(629.16-610)\times 20\%=3.832$. The net return is $625.328/583.1-1=7.24198\dots \%$, matching C, $7.24\%$.

Calculating the incentive fee independently gives $(642-610)\times 20\%=6.4$ and a net return of $622.76/583.1-1=6.80158\dots \%$, matching B, $6.80\%$. Thus the conflicting sentence changes which option a candidate selects.

The printed solution selects C and its incentive-fee calculation uses the value after management fees. These establish the intended convention.

Correct reading: Delete the instruction to calculate performance and management fees independently. Retain the post-management-fee condition and answer C, $7.24\%$.

Identify the incentive-fee base before calculating the return: gross and net performance are different contractual inputs.

5. Module 3 — The Correlation Range Omits Exhibit 7's $0.86$ Maximum

Curriculum location: Introduction, Self-assessment 6 solution, p. 68.

"Correlations with public market indexes vary from $0.63$ to $0.83$."

Curriculum location: Diversification Benefits of Private Capital, Exhibit 7 preamble, p. 86.

"Correlations with public market indexes vary from $0.63$ to $0.83$, as shown in Exhibit 7."

Exhibit 7 itself gives a correlation of $0.86$ for private debt with the MSCI World Index. Across all twelve cells, the minimum is $0.63$ and the maximum is $0.86$; the printed upper bound cannot be reproduced. Self-assessment 6 still correctly selects C, and the table still shows venture capital as the least correlated category.

Correct reading: The displayed correlations range from $0.63$ to $0.86$. Answer C in Self-assessment 6 remains correct: lower correlation supports diversification, while the data support a moderate benefit.

When checking an answer explanation against an exhibit, use the full set of values and distinguish a corrected numerical range from an unchanged answer.

6. Module 3 — SPACs Are Given Greater Permission to Provide Forecasts Than IPOs

Curriculum location: Private Equity Investment Characteristics, Public Listing, p. 75.

"Finally, SPACs are allowed to provide more forward formal guidance on a company's prospects than is allowed under an IPO."

For US transactions, the SEC's 2024 final rule explicitly recognizes that projections may be disclosed in both an IPO and a de-SPAC transaction. A de-SPAC transaction is the SPAC's merger with its target. The rule also removes a liability protection for forward-looking statements under the Private Securities Litigation Reform Act (PSLRA) for de-SPAC transactions. The historical safe-harbor argument concerned potential protection from liability, rather than a prohibition on IPO projections. More frequent use of forecasts in SPAC practice does not establish greater legal permission to provide them.

Correct reading: In the United States, both traditional IPOs and de-SPAC transactions may disclose projections, subject to applicable disclosure and liability requirements. Greater permission to provide forecasts should not be treated as an inherent SPAC advantage.

When comparing exit routes, distinguish transaction flexibility from the legal treatment of forecasts.

7. Module 3 — Leveraged Loans Are Defined by the Lender's Own Borrowing

Curriculum location: Private Debt Investment Characteristics, Private Debt Categories, p. 80.

"In direct lending, many firms may also provide debt in the form of a leveraged loan, a loan that is itself levered. Private debt firms that invest in leveraged loans first borrow money to finance the debt and then extend it to another borrower."

Curriculum location: Private Debt Investment Characteristics, Practice Problem 5 solution, p. 90.

"A is incorrect because leverage is typically a feature of a form of direct lending in which firms may also provide debt in the form of a leveraged loan, a loan that is itself levered with borrowing costs figuring into returns."

The Federal Reserve's interagency guidance identifies leveraged lending through characteristics of the borrower, including high debt relative to earnings and leverage above industry norms. A fund can separately borrow to finance its investments, but that borrowing does not define the loans it holds as leveraged loans. The repeated explanation in Solution 5 does not change that item's correct answer B about mezzanine debt's junior ranking and risk.

Correct reading: Leveraged lending concerns highly leveraged borrowers and their credit characteristics. A private debt fund's own borrowing adds a separate layer of leverage. Practice Problem 5 still has answer B; its explanation should keep these two levels distinct.

Assess the borrower's leverage when classifying a loan, then assess any additional leverage used by the fund holding it.

8. Module 3 — Practice Problem 6 Treats Crisis Illiquidity Premiums as Private-Debt Exclusive

Curriculum location: Private Debt Investment Characteristics, Practice Problem 6 solution, p. 90.

"C is incorrect because in market disruptions, such as the 2008 financial crisis, private debt exclusively benefited from an illiquidity premium when private lending funds filled the financing gap left by traditional lenders because traditional lenders were reluctant to underwrite public debt."

Publicly traded corporate bonds can become illiquid. Federal Reserve research on publicly offered corporate bonds links reductions in liquidity supply to higher expected excess returns, including during crisis conditions. This compensation can coexist with price losses for existing holders. Private lenders may also earn premiums by supplying scarce capital, but this is not an exclusive feature of private debt. In the question on p. 88, C describes an opportunity for illiquidity premiums in market crises; the printed explanation cannot rule that opportunity out for public debt.

Correct reading: Illiquidity premiums may arise in both public and private debt, including during crises. Benchmark-rate sensitivity remains a shared feature and A is the intended answer, but C cannot be excluded on the printed explanation; the item needs a revised distractor or wording.

Do not equate a publicly traded bond with assured liquidity when evaluating risk premiums or eliminating an answer choice.

9. Module 4 — The Core Rental-Income Description Calls Tenants Lessors

Curriculum location: Real Estate Investment Characteristics, Source of Returns, paragraph following Exhibit 4, p. 103.

"properties with long-term leases and with many lessors (typically residential real estate)"

The opening paragraph on p. 103 identifies rental and lease payments as the income received from income-producing property. The same topic then explains on p. 105 that longer leases and better tenant credit quality can reduce the variability of those returns. The relevant counterparties are therefore the tenants who owe the rent. Those tenants are lessees; the lessor leases the property to them and receives their payments. Calling the tenants lessors reverses the payer and recipient in the curriculum's explanation of rental-income stability. The IFRS Interpretations Committee confirms that lease payments are obligations of the lessee and receivables of the lessor.

Correct reading: The passage should read "properties with long-term leases and with many lessees (typically residential real estate)."

When explaining stable property income, connect lease payments and tenant credit quality to the rent-paying lessees.

10. Module 5 — Commodity Forwards Are Included in an Organized-Exchange Trading Claim

Curriculum location: Commodity Investment Forms, Distinguishing Characteristics of Commodity Investments, p. 131.

"As such, commodity investments are usually made through financial derivative instruments, most frequently commodity futures and forwards and occasionally options on futures. Using derivatives to establish exposures to natural resources has several benefits: Because these instruments are traded on organized exchanges, they are very liquid and provide opportunities for price discovery."

Elsewhere in the same Level I curriculum, Volume 7, Module 2, p. 24, the self-assessment solution distinguishes an over-the-counter (OTC) forward from a futures contract with exchange-set standardized terms. The quoted passage includes forwards in its instrument list, then attributes organized-exchange trading to those instruments. The following paragraph correctly describes futures as exchange traded, but does not narrow the preceding claim to futures.

CME Group's comparison confirms that commodity forwards are privately negotiated OTC contracts, while futures trade on an exchange. Liquidity and price discovery through an exchange should therefore be attributed to the exchange-traded instruments in the list.

Correct reading: Exchange trading and exchange-based price discovery apply to listed commodity futures and options on futures. Commodity forwards are privately negotiated over-the-counter contracts; their liquidity depends on the contract and counterparties.

This distinction prevents a candidate from assigning a forward contract the exchange-based trading and liquidity characteristics of a futures contract.

11. Module 6 — The Curriculum Confuses the Coefficient of Variation with Its Inverse

Curriculum location: Hedge Fund Investment Features, Example 1, p. 153.

The table labels its third data row:

"Coefficient of variation"

The Market Index entry in that row is:

"$14.8\%$"

The following paragraph uses the reported measure to compare performance:

"The market index, measured by the S&P 500 Index, outperformed each strategy both in absolute terms as measured by the average monthly returns and in relative terms as measured by the coefficient of variation of returns."

Curriculum location: Hedge Fund Investment Risk, Return, and Diversification, paragraph following Exhibit 7, p. 171.

"A higher coefficient of variation provides greater return for the same amount of risk."

The curriculum's own Quantitative Methods reading defines CV as standard deviation divided by mean return and explicitly identifies its inverse as return per unit of risk (Other Dispersion Measures, p. 237). Example 1's Market Index has a displayed mean monthly return of $0.30\%$ and standard deviation of $2.0\%$. Those rounded inputs give

$$\mathrm{CV}=\frac{s}{\bar{R}}=\frac{2.0\%}{0.30\%}\approx 6.67,$$

a ratio of about $6.67$, or $667\%$, rather than the printed $14.8\%$. This calculation establishes a mismatch with the named metric; it is not a replacement estimate for the undisclosed data's actual CV.

All five printed figures are compatible with the inverse ratio, mean return divided by standard deviation, allowing for rounded inputs. For example, a mean of $0.296\%$ and standard deviation of $2.0\%$ would produce $14.8\%$, while the mean would display as $0.30\%$. This demonstrates compatibility; it does not recover the original observations. The smaller correction is therefore to rename the row and the metric in the following comparison, preserving the numbers. Under that named measure, the index has the highest reported ratio among all five return series, so the original comparison can retain its full scope.

The p. 171 sentence confuses the same two quantities. Its opening description of CV as the price of return in terms of risk is sound. The later return-adjusted-for-risk description and higher-is-better rule give it the meaning of its inverse. For positive mean returns, holding standard deviation fixed, greater return produces a lower CV. The positive-mean condition matters here because the adjacent Exhibit 7 includes negative-mean strategies.

Correct reading: In Example 1, label the row "Inverse of the coefficient of variation" and use that same name in the following comparison. Retain the five reported values and the index's comparison with all four hedge fund strategies. In the p. 171 discussion, retain the risk-per-unit-return meaning of CV, remove the conflicting return-per-unit-risk description, and state that a lower CV provides greater return at the same risk for positive mean returns.

A candidate who treats Example 1's row as CV learns the reciprocal formula; applying the p. 171 preference rule could then lead them to choose the lower-return investment when two positive-mean investments have the same risk.

12. Module 6 — The Solution Calls Security-Specific Risk Undiversifiable

Curriculum location: Hedge Fund Investment Risk, Return, and Diversification, Question Set 1, explanation for option B, p. 173.

"B is incorrect because long-only mutual funds are more likely to seek returns from market risk and sector risks with less emphasis on undiversifiable, security-specific risks."

The same topic already explains on p. 169 that traditional mutual funds and index ETFs reduce idiosyncratic risk by holding many stocks, while retaining systematic market risk. The quoted solution reverses that distinction: security-specific, or idiosyncratic, risk is diversifiable. A manager may choose to retain concentrated stock-selection exposure, but that choice does not make the risk impossible to diversify.

Correct reading: The explanation should refer to "diversifiable, security-specific risks." Long/short equity hedge funds may deliberately seek stock-selection exposure, whereas diversified long-only funds place less emphasis on it. C, long/short equity hedge fund, remains the correct answer to this question.

The correction preserves the answer while preventing a false rule about which risks diversification can reduce.

13. Module 7 — PoW History Attacks Are Tied to a Majority of Nodes

Curriculum location: Distributed Ledger Technology, The Proof of Work (PoW) Protocol, p. 185.

"To manipulate historical data, an individual or entity would have to control most nodes in the network."

The next paragraph, spanning pp. 185–186, measures the attack in computational power. That differs from the number of nodes: p. 184 describes nodes as participants holding ledger copies, while p. 185 identifies miners as only some network computers. No equal-computing-capacity assumption makes those counts interchangeable. The Bitcoin developer guide likewise describes historical-chain attacks in terms of hashing power.

Correct reading: PoW history replacement depends on producing a competing valid chain with greater accumulated proof of work. The relevant security resource is mining power, rather than a headcount of network nodes.

This distinction prevents assessing PoW attack resistance by counting computers while overlooking concentrated mining power.

14. Module 7 — The PoS Security Explanation Uses Computational Power

Curriculum location: Distributed Ledger Technology, The Proof of Stake (PoS) Protocol, p. 186.

"The boundary of the PoS protocol's security standards builds on a group of stakers (and their pledged stake) controlling the network's computational power and protecting access from malicious parties gaining a majority."

The sentence parallels the preceding PoW security-boundary discussion but carries its computational-power measure into PoS. The reference to pledged stake does not make computational capacity the basis of consensus weight. Ethereum's protocol documentation ties that influence to staked capital and protocol rules; operating a faster computer does not itself confer additional voting weight.

Correct reading: PoS uses validators' pledged stake and stake-weighted consensus to resist malicious control of the network. Computational power does not determine consensus weight, and attack thresholds depend on the protocol and attack.

This prevents carrying the PoW hardware-competition model into an explanation of how staking secures a network.

15. Module 7 — Programmable Altcoins Are Called Smart Contracts

Curriculum location: Digital Asset Investment Features, Investible Digital Assets / Altcoins, p. 193.

"Such programmable altcoins are also called smart coins or smart contracts"

The curriculum already defines smart contracts as computer programs on p. 184. The Altcoins paragraph on p. 193 identifies Ether as a cryptocurrency and Ethereum as the network on which applications can be built. Calling those coins smart contracts equates an asset with executable code. Ethereum's smart-contract documentation corroborates the program definition.

Correct reading: The label "smart coins" refers here to programmable altcoins. Their blockchains support smart contracts, which are programs that execute specified rules. Ether is the cryptocurrency associated with the network; it is not itself a smart contract.

This preserves the distinction between an investible digital asset and the program that automates transaction rules.

16. Module 7 — Stablecoins Are Said to Be Inconvertible into Fiat Money

Curriculum location: Digital Asset Investment Features, Investible Digital Assets / Stablecoins, p. 193.

"stablecoins cannot be exchanged for fiat money"

Example 2 on p. 194 explicitly describes Tether and USD Coins as tradable or redeemable for dollar value from their issuers. The solution to Question 4 on p. 196 repeats that mechanism for collateral-backed stablecoins. These examples contradict a categorical prohibition on fiat exchange. A lack of guaranteed conversion for every holder does not establish that conversion is impossible. Circle's USDC terms corroborate issuer redemption subject to eligibility and other conditions.

Correct reading: Some stablecoins can be exchanged for fiat money or redeemed with their issuers, subject to the applicable arrangements and conditions. This does not guarantee that every holder can redeem every stablecoin at par.

This prevents rejecting the redemption mechanism used to explain stablecoin liquidity, reserve risk, and runs.

Complete Alternative Investments Errata Index

Scope: Modules 2–7, pp. 33–212 (printed page numbers).

Reviewed modules. Module 2, pp. 33–63; Module 3, pp. 65–92; Module 4, pp. 96–120, beginning at Real Estate Features and excluding the introductory Knowledge Check material above it on p. 96; Module 5, pp. 124–145, excluding the introductory material on pp. 121–123; Module 6, pp. 150–177, excluding the introductory self-assessment on p. 150; and Module 7, pp. 183–212. Each range includes its embedded Question Sets and printed Practice Problems and solutions.

What this review covers. Errors in the printed curriculum that would change a candidate's answer or understanding: wrong numbers, wrong formulas, reversed logic, and statements that contradict the volume's own data. It does not list spelling mistakes, equation-numbering slips, or wording that is loose but defensible.

The table lists every high-value, objectively confirmed curriculum error admitted for these modules, including eligible errors in printed Practice Problems and their solutions. Repeated instances of the same defect are consolidated into one row. Extraction or import-fidelity problems, question errors not printed in the module source, disputed readings, and low-value editorial issues are outside the public errata scope.

References

• CFA Institute — Alternative Investment Performance and Returns refresher reading
• SEC — Special Purpose Acquisition Companies, Shell Companies, and Projections (2024 final rule)
• Federal Reserve — Interagency Guidance on Leveraged Lending
• Federal Reserve — Dealer Inventory Constraints in the Corporate Bond Market during the COVID Crisis
• IFRS Foundation — Lessor Forgiveness of Lease Payments (IFRS 9 and IFRS 16)
• CME Group — Futures Contracts Compared to Forwards
• NIST — Coefficient of Variation
• CFA Institute — Portfolio Risk and Return, Part II
• Bitcoin developer guide — Block Chain and Proof of Work
• Ethereum — Proof-of-stake
• Ethereum — Introduction to smart contracts
• Circle — USDC Terms

This article is an independent candidate-focused analysis of confirmed errors in the CFA Level I 2027 Curriculum, Volume 8 Alternative Investments, Modules 2–7. It is not an official CFA Institute errata notice, and inclusion here must not be read as CFA Institute confirmation, endorsement, or approval.