Alternative investment research and fund diligence

Reconcile private-credit income, fund liquidity terms and private-equity performance before comparing managers.

6 selected guides · Curated by AllMind

A fund label can conceal the distinction that matters: income recognized versus cash collected, periodic liquidity versus a completed withdrawal, or total value versus distributions. These examples work through the numbers and terms behind those labels.

Keep the legal vehicle, share class, reporting date and document scope attached to every answer. The goal is a comparison that a committee can reconstruct, including the missing evidence, rather than a completed table that hides incompatible inputs.

Income, liquidity and performance

Three worked analyses for alternative managers and allocators.

  1. AI Private Credit Research: Income Is Not Cash Collected

    Reconcile Ares Capital's 2025 income, PIK and per-share results to see which questions a private credit monitoring report must answer.

    Read guide : AI Private Credit Research: Income Is Not Cash Collected

  2. AI Fund Due Diligence: What Quarterly Liquidity Really Means

    Work through an oversubscribed repurchase offer and distinguish an interval fund's schedule from the amount an investor can actually withdraw.

    Read guide : AI Fund Due Diligence: What Quarterly Liquidity Really Means

  3. AI Private Equity Research: Separate Cash Returned From NAV

    Reconstruct a public fund-performance row to distinguish paid-in capital, distributions, residual value and unfunded commitments before comparing managers.

    Read guide : AI Private Equity Research: Separate Cash Returned From NAV

Compare the supporting packet

Check manager claims, document dates and the scope of an institutional review.

  1. AI for Manager Due Diligence: Answers That Survive Review

    A completed DDQ can conceal unanswered questions. Use AI to check the entity, evidence, and scope behind manager claims before they reach committee.

    Read guide : AI for Manager Due Diligence: Answers That Survive Review

  2. Compare Fund Factsheets With AI Without Mixing Dates

    An IVV example shows why one fund page can contain several dates. Compare holdings, risk and mandate data without turning mismatched observations into a ranking.

    Read guide : Compare Fund Factsheets With AI Without Mixing Dates

  3. AI Research Tools for Pension Funds and Allocators

    A manager-research and governance guide for pensions and institutional allocators evaluating AI tools, evidence trails, data rights, and committee output.

    Read guide : AI Research Tools for Pension Funds and Allocators