Over-commitment Strategy

An institutional investor may back several Category III AIFs at once. This creates a tricky cash problem. Capital calls arrive at unpredictable times and in unpredictable sizes. If the investor keeps enough spare cash to cover every possible call, on every fund, most of that cash just sits idle. Idle cash drags down the investor's overall returns.

Some institutions choose a different answer: the over-commitment strategy. They commit more than their current cash could cover. They are betting on two things. First, that dry powder from older funds will not all be called at once. Second, that money coming back from earlier, more mature funds will arrive in time to fund calls on newer ones.

The workbook frames this directly as a fund-level and investor-level risk factor under cash management: "Institutional investors often pursue an over-commitment strategy in which forecasted capital calls on outstanding commitments exceed current cash balances."

In other words, the investor's total outstanding capital commitments across all the AIFs it has backed are, by design, larger than the cash it currently holds — the investor is relying on a mix of (a) the statistical unlikelihood that every fund calls capital simultaneously, and (b) distributions flowing back from realisations in older funds, to bridge the gap.

The strategy works only as long as the timing assumption holds. If several funds call capital in the same window — which is exactly what tends to happen in a market downturn, when managers also see the most attractive entry prices — the investor can face a genuine liquidity shortfall and be forced to sell other, more liquid assets at a bad time, or default on a capital call.

Consider an institutional investor with Rs 500 crore of liquid, deployable cash. Rather than limiting its outstanding Category III AIF commitments to Rs 500 crore, it commits Rs 650 crore across six funds — 130% of its liquid cash — on the assumption that no more than 70–75% of any fund's dry powder is ever called within the same financial year, and that Rs 120–150 crore of distributions from two older, maturing funds will come back over the same period.

In a normal year this works: calls across the six funds total Rs 420 crore, distributions from the older funds bring in Rs 140 crore, and the investor's cash position stays comfortably positive.

In a stressed year, four of the six funds call capital in the same quarter because valuations have fallen and managers want to deploy quickly — combined calls of Rs 380 crore land at once, while the expected Rs 140 crore of distributions is delayed because the older funds are themselves holding back exits in the same downturn. The investor now has to liquidate other holdings, at depressed prices, to honour its capital calls — the exact risk the workbook is describing.

Chapter 6 (Risk and Return — Investor and Fund Perspective), under cash management risk, is where the over-commitment strategy is named. The examinable point is narrow and precise: the strategy exists because forecasting the timing of capital calls under an "as-needed" drawdown schedule is genuinely difficult, and over-commitment is the investor's deliberate response to that uncertainty, not an accident or an error.

• Over-commitment is a chosen strategy, not a mistake. The paper frames it as something institutional investors "often pursue" deliberately, to avoid the drag of holding a large idle cash buffer.
• The risk crystallises when calls cluster, typically in stressed markets — exactly when the investor's other assets are least liquid or most depressed in value.
• It relies on distributions from older funds, which makes an over-commitment strategy riskier for an investor whose portfolio of AIFs is all of a similar vintage, with no mature funds yet returning capital.
• Do not confuse this with a default on a single capital call by one under-funded investor — over-commitment is a portfolio-level cash strategy across multiple funds, not a one-off shortfall.