Private Wealth Management puzzles, solved step by step

Fund B, by about 0.12 points a year. Fund A's trading costs 150% turnover x 0.4%, which is 0.60%, so its all-in cost is about 1.60%. Fund B's trading costs 20% x 0.4%, 0.08%, for an all-in 1.48%. The lower visible fee belongs to the more expensive fund. On Rs 1 crore at 12% gross for ten years, the gap is about Rs 2.9 lakh.

Where does the hidden cost come from?

A shopkeeper who keeps swapping his stock pays the wholesaler's margin and the transport every time, even if the shelf price never changes. Every time a fund sells one holding and buys another, it pays brokerage and moves prices against itself, and that cost comes out of the fund's value rather than out of the stated expense ratio. Turnover of 150% means the fund replaces its whole portfolio one and a half times a year, so it pays the round-trip cost one and a half times.

How large is 0.12 points in rupees?

Small each year, visible over a decade. On Rs 1 crore with a 12% gross return, Fund A compounds at 10.40% to about Rs 269.0 lakh in ten years and Fund B at 10.52% to about Rs 271.9 lakh. A 0.12 point gap is about Rs 2.9 lakh on Rs 1 crore over ten years, and the investor never sees it on a statement. The same method matters more for small-company funds, where the impact cost of each trade is larger than 0.4%.

Say the limits. Turnover is only a cost if the trading does not add return; a high-turnover manager may earn back more than 0.6%. And the 0.4% round trip is an assumption, which varies with the size of the fund and the stocks it trades. How expense ratios and trading costs are disclosed changes with regulation, so confirm the current rules before comparing real schemes.

A loss of about Rs 84 lakh, or -16.75%, and in some years more. If returns are roughly normal, one year in twenty falls more than 1.65 volatilities below the average. That is 8% minus 1.65 x 15%, or -16.75%, which on Rs 5 crore is about Rs 83.75 lakh. It is a threshold, not a worst case: the average year beyond it loses about 23%.

Why translate volatility into rupees?

A weather forecast that says the standard deviation of rainfall is 40 mm helps nobody pack; a forecast that says one monsoon in twenty floods the ground floor tells a family what to prepare for. A client cannot feel 15% volatility, but he can feel a Rs 84 lakh loss in one bad year, and he can decide whether he could live with it. The job is to turn the statistic into a rupee figure and a frequency.

What should you say about the limits of this number?

Three things. It is a cut-off, not a floor: when a bad year comes, the average loss beyond the cut-off is about 23%, near Rs 1.15 crore. Real market returns have fatter tails than the normal curve, so the true one-in-twenty loss is usually worse than the formula says. And one in twenty does not mean once every twenty years on a schedule; two such years can arrive back to back.

For a sterner test, one year in a hundred sits about 2.33 volatilities down: 8% minus 34.95% is -26.95%, about Rs 1.35 crore. Giving the client both lines, one in twenty and one in a hundred, is more honest than a single number.

A 7.0% average yield, Rs 7 lakh of interest a year, and Rs 20 lakh free every year. Equal Rs 20 lakh rungs make the average yield the simple average of the five rates. Against locking the whole Rs 1 crore at 7.5%, the ladder gives up about Rs 50,000 a year at the start, in exchange for a fifth of the money maturing every year and a spread of reinvestment dates.

Why build a ladder instead of one deposit?

A family that stores rice in five sacks, opening one a year, never has to break into next year's supply for this year's needs. A ladder spreads maturities so that a slice of the money comes free every year, which gives liquidity without breaking a deposit early and spreads the risk of reinvesting all the money at one bad rate. The price is that the shorter rungs earn less than the longest one.

How do you compute the interest quickly?

Because every rung is the same size, the average yield is the plain average of the rates: 6.5, 6.75, 7, 7.25 and 7.5 add to 35, and 35 over 5 is 7.0%. Rs 1 crore at 7.0% is Rs 7 lakh a year, against Rs 7.5 lakh if all of it sat in the 5-year deposit, so the ladder costs about Rs 50,000 a year at the start. Rung by rung it is Rs 1.30, 1.35, 1.40, 1.45 and 1.50 lakh.

Is the Rs 50,000 a permanent cost?

Not if he keeps the ladder going and rates stay put. Each year the matured Rs 20 lakh goes into a new 5-year deposit at the top rate, so after five years every rung was bought at the 5-year rate while one still matures each year. A rolling ladder gives up yield mainly in its first years; once rebuilt, it earns close to the long rate and keeps its yearly liquidity. If rates fall, the rungs that come free get reinvested lower; if they rise, the ladder catches the rise sooner than one long deposit would. Tax on deposit interest is the same across rungs in this example; confirm the current treatment for the client's slab.

25%. If returns were pure luck, next year's quartile would be independent of this year's, so a top-quartile fund would have a one-in-four chance of landing in each quartile, top included. A quarter of the top funds repeat by chance alone, 6.25% of all funds. Persistence only counts as evidence of skill when the repeat rate is clearly above 25%, and with few funds that bar is higher than it looks.

Why is the luck baseline 25% and not zero?

Roll a die twice. The chance the second roll is a six does not care whether the first one was, so one in six of the first-roll sixes will be followed by another six. Luck does not avoid repeats, it ignores history, so under pure chance each quartile of this year's funds scatters evenly across next year's four quartiles. A quarter of the top quartile stays top, which is 6.25% of all funds.

How far above 25% is enough to mean something?

It depends on how many funds you are counting. With 100 funds there are 25 in the top quartile, and luck alone predicts about 6.25 repeats with a spread of about 2.2. Ten or more repeats, a 40% rate, still happens by luck about 7.1% of the time, so a single year's persistence among a small set of funds is weak evidence. Several years of repeats, or a very large sample, is what separates skill from a good draw.

Two more checks before believing a persistence table. Funds that closed or merged after bad years quietly vanish from later counts, which makes survivors look more persistent than they were. And funds in the same category share market conditions, so a style that is in favour can keep a whole group of funds on top together. Neither of those is manager skill.

About Rs 6,840 crore a year, with about 21% from performance fees, on these assumptions. Fixed fees of 2% on Rs 1.6 lakh crore, 1% on Rs 1.6 lakh crore and 0.75% on Rs 0.8 lakh crore give Rs 5,400 crore. A 15% share of returns above a 10% hurdle, in a 16% year, adds Rs 1,440 crore. That is a 1.71% blended rate, and the performance part can vanish in a weak year.

How do you structure a fee pool estimate?

A toll road's yearly takings are traffic times toll, lane by lane, because trucks and cars pay different rates. A fee pool is the asset base times the fee rate, computed separately for each strategy because each charges differently, then added. Here the assumptions split Rs 4 lakh crore into 40% fixed-fee equity, 40% equity charging a lower fixed fee plus a performance feeA share of the return above an agreed hurdle rate, paid to the manager only when that hurdle is beaten, usually subject to a high-water mark., and 20% debt and multi-asset strategies. Every share and rate is an illustrative assumption.

Why does the performance share matter to the business?

Because it is the unstable part. Fixed fees fall only as far as assets fall; performance fees can drop to zero in a single year below the hurdle. In that year the pool shrinks from Rs 6,840 crore to Rs 5,400 crore, a blended rate of 1.35%, and a high-water markA rule that no performance fee is paid until the portfolio value climbs back above its previous peak. can keep it at zero for several years after a fall. Say that sentence and you have shown you understand the economics, not just the multiplication. Fee structures and caps are set by regulation; confirm the current rules before quoting real ones.

Fund A, Rs 2.59 lakh against Rs 2.19 lakh. Each two-year pair of Fund B multiplies money by 1.3 x 0.9, which is 1.17, so ten years is 1.17 to the fifth, or 2.19. Fund A compounds 1.1 ten times to 2.59. Fund B's true annual rate is the square root of 1.17, less 1, which is 8.17%, not 10%.

Why does the average of the returns mislead?

A shopkeeper raises a price by 30% and then cuts it by 10%. The tag does not end 20% higher: 100 becomes 130, and 10% off 130 is 117. Returns multiply, so the rupees you keep depend on the product of the growth factors, not on the average of the percentages. The minus 10% bites on a larger base than the plus 30% started from, and that asymmetry is where Fund B leaks money.

What should the client take away from this?

Two funds with the same average return can leave the client with very different amounts. The more a fund's returns swing, the further its compound rate falls below its average, so a fund sold on its average return is being sold on the wrong number. Here the swing costs 1.83 points a year, and over ten years that is 0.40 lakh on every lakh invested.

Say the limitation too: real funds do not alternate neatly, and a steady 10% fund does not exist. The puzzle isolates one effect, the cost of volatility to compound growth, so that the client sees it in rupees.

About Rs 1.04 crore. At 10% a year costs double roughly every 7.2 years (72 / 10), so 15 years is just over two doublings: Rs 25 lakh becomes 50 and then 100 lakh, plus a little. Exactly, 25 x 1.1 to the power 15 is Rs 104.4 lakh. The goal to fund is that figure, not Rs 25 lakh.

Why is the answer four times today's fee and not two and a half?

A school that raises fees 10% every year raises them on last year's fee, not on the fee from when your child started. The rises pile on each other. Cost inflation compounds exactly like an investment return, so a goal's cost has to be grown at its own inflation rate before anyone asks how much to save. Adding 10% of today's fee each year gives Rs 62.5 lakh, which is simple interest and leaves the plan Rs 42 lakh short.

What do you tell the client after the number?

Two things. First, the inflation rate is an assumption, not a fact: education costs may rise faster or slower than 10%, and a two point change moves the answer by tens of lakhs, since 25 x 1.08 to the 15th is about Rs 79 lakh and 25 x 1.12 to the 15th is about Rs 1.37 crore. The inflation assumption matters as much as the return assumption, so state it and show the range.

Second, the saving plan must beat this cost growth, not general inflation. If the portfolio earns 10% and fees rise 10%, the money only keeps pace; it does not get ahead. That is why goal planning uses the goal's own inflation rate.

Rs 70,000 under first in, first out, against a loss of Rs 10,000 if he could pick the lot bought at 180. FIFO sells the NAV 100 units: 70 a unit on 1,000 units. Picking the newest lot books 170 minus 180, a loss of 10 a unit. The gap is Rs 80,000 of taxable gain, Rs 16,000 of tax at an illustrative 20%, though only a shift in timing.

Why does it matter which lot is sold?

Think of a shop selling rice it bought in three batches at three prices. Its profit on today's sale depends on which batch it says it sold. Units of one fund are identical in the market but not in the tax records: each lot carries its own cost, so the lot matched to a sale decides the gain. The oldest lot here has the lowest cost and the biggest gain.

In India, redemptions of units of the same scheme are generally matched first in, first out, so the client cannot usually pick the lot; confirm the current rule before relying on it. The puzzle asks for both numbers so you can show the cost of the rule, Rs 80,000 of gain brought forward.

Does picking the lot actually save tax?

Mostly it moves tax in time. The three lots carry Rs 80,000 of gain in total at 170, whatever the order. Choosing the high-cost lot defers gains rather than erasing them, so its value is the time value of the deferred tax plus any loss he can set against other gains now. Two things can change that: the oldest lot may qualify for a lower long-term rate because it has been held longer, and a loss booked today may offset gains elsewhere in the same year.

About 31%, roughly one year in three. A loss means a return below zero, which is 10 points under the 10% mean. With volatility of 20, that is half a standard deviation below the mean, a z-score of minus 0.5, and the normal table puts 30.9% of outcomes below that point.

How do you get from 10% and 20% to a chance of loss?

Picture a bus that arrives on average at 9:10 but varies by about 20 minutes either way. Arriving before 9:00 is only 10 minutes early, half of its usual wobble, so it happens often. The chance of a losing year depends on how many standard deviations separate the mean return from zero, not on the mean alone. Here zero is 10 points below the mean and a standard deviation is 20, so zero sits half a standard deviation down.

What do you tell the client, and what is the catch?

Tell him in years, not in z-scores: in a typical decade he should expect about three losing years. Saying the chance of a losing year before he invests is what keeps a client invested when one arrives. A client told only the 10% expected return reads a losing year as a broken promise.

Then give the limitation. Real returns have fatter tails than the normal curve, so large losses turn up more often than the bell suggests, and years are not fully independent. The 31% is a clean first estimate, not a forecast.

About 47 years, nearly double the 25. At 3% real the corpus earns Rs 9 lakh in the first year, three quarters of the Rs 12 lakh drawn, so it shrinks slowly. Solving the annuity, 3 crore = 12 lakh x (1 - 1.03 to the minus n) / 0.03, gives n of about 46.9 years with year-end withdrawals. It would last for ever only at Rs 400 lakh.

Why does 3% nearly double the corpus's life?

Think of a water tank you draw 12 buckets a year from, while a tap refills 9 buckets. The tank drains at 3 buckets a year at first, not 12. A real return refills the corpus each year, and early on the refill covers most of the spending, so a small return stretches a corpus far more than intuition expects. As the corpus shrinks the refill shrinks too, which is why the curve steepens near the end.

How do you check the answer without solving anything?

Use the perpetuity as a ceiling. Rs 12 lakh a year for ever at 3% needs 12 / 0.03 = Rs 400 lakh. The client holds three quarters of the for-ever corpus, so the money runs out, but late: the answer must sit well above 25 years and below infinity. Nearly 47 years passes that test.

Then say the limitation. A steady 3% real return does not exist; the order of good and bad years matters, and a bad run early in retirement shortens the life of the corpus even if the average holds. Use 47 years as the arithmetic, not a promise.