Why Risk Comes Before Return: The Most Important Conversation
A portfolio built without understanding the client's risk tolerance is like a tailor who measures nothing and then wonders why the suit does not fit. Getting risk right upfront prevents costly mistakes later.
Before any money is invested, a good wealth manager sits with the client and talks. Not about markets, but about life. How did you build your wealth? Have you seen a big market crash before? When your portfolio fell 20% on paper, what did you feel?
These conversations reveal things that questionnaires miss. A formal risk questionnaire is useful but imperfect. Research shows that people answer differently depending on how a question is worded. Ask someone if they are comfortable losing 10,000 rupees and they react one way. Ask if they are comfortable losing 10% of their portfolio and they react differently, even if the numbers are the same.
Ms A says she is comfortable with 'moderate risk.' But when asked to choose between Portfolio X (8% expected return, 15% chance of a bad year) and Portfolio Y (6% expected return, 5% chance of a bad year), she picks Y without hesitation. That tells her wealth manager she is actually a conservative investor, whatever the questionnaire said.
People also have different risk tolerance for different goals. Someone may be very conservative about saving for a child's school fees due in three years but perfectly willing to take equity-level risk in a retirement pot they will not touch for 25 years. The solution is to separate the portfolio into mental accounts, one for each goal, each with its own risk setting.
Dividing a portfolio into separate sub-pools, each matched to a specific goal and a specific level of acceptable risk.
What Returns Can Markets Realistically Deliver?
Many investors and even professionals estimate future returns by looking at what markets did in the past. This almost always leads to bad decisions. Here is why.
Imagine a five-year bond issued with a yield of 5%. Over the next few years, interest rates fall steadily. As they fall, the bond's price rises, and the bond earns more than 5% each year in the early period. A lazy analyst looks at this history and thinks the bond will keep earning above 5%. But that is wrong. The extra gains in early years must be paid back through lower returns in later years. The bond will still earn exactly 5% over its full life. Past outperformance borrows from future returns.
The same logic applies to stocks, real estate, and every other asset class. Good analysts do not copy history. They build estimates from first principles.
How to Estimate Bond Returns
The annual return a bond will earn if held until it matures and all payments are received as promised.
For high-quality bonds with little default risk, there is a reliable rule. Over a holding period equal to twice the bond index's modified duration, the total return will closely match the current yield to maturity. This is a practical, testable guideline.
Mr B is a wealth manager with a client who has a 10-year horizon. He looks at a high-quality bond index with a five-year modified duration. The current yield is 4.5%. Using the rule, he estimates the 10-year return at approximately 4.5% per year. Simple, clean, and grounded in a real market signal rather than past data.
For riskier bonds, called high-yield bonds, default risk must be subtracted. Some companies that issue these bonds will go bankrupt and stop paying. The formula is straightforward: expected return equals yield minus the annual default rate multiplied by the average loss when a bond defaults.
Ms C is analysing a high-yield bond index with a 9% yield. She estimates that 5% of bonds default each year and that investors recover 60 cents for every rupee owed when a bond defaults. So the loss given default is 40%. Expected return = 9% minus (5% times 40%) = 9% minus 2% = 7%.
How to Estimate Stock Returns
Unlike bonds, stocks do not promise fixed payments. Returns depend on how much companies earn and grow over time. And that growth is always slower than you might expect.
A key finding from studying 16 countries over 100 years is that company earnings and dividends per share grow about 2% slower than the overall economy each year. The reason is that economic growth comes from both existing listed companies and new private businesses. Stock market investors only capture growth from the first group. New businesses grow outside public markets before they list.
The practical formula for estimating stock returns uses two inputs: the dividend yield (dividends paid divided by current price) and the expected growth rate of dividends. Add them together and you get a reasonable forward-looking return estimate.
Another useful tool is the Cyclically Adjusted Price-Earnings ratio, or CAPE. This compares the current market price to the average of 10 years of inflation-adjusted earnings. A high CAPE means prices are expensive relative to earnings. Expensive markets tend to deliver lower future returns. A low CAPE suggests the opposite.
A measure that compares stock prices to 10-year average earnings, adjusted for inflation. High CAPE means lower expected future returns.
Measuring Risk and Building the Portfolio
Risk in portfolio construction is usually measured by volatility, which is how much returns bounce around from year to year. Alongside volatility, wealth managers study correlations, which show whether two assets tend to rise and fall together.
A number between -1 and +1 showing how closely two assets move together. Close to +1 means they move in the same direction. Close to -1 means they move in opposite directions.
Assets with low or negative correlations provide diversification benefits. When one falls, the other may hold steady or even rise. A good portfolio holds assets that do not all fail at the same time.
The standard method for combining assets optimally is called mean-variance optimisation. It picks the mix of assets that gives the highest expected return for a chosen level of risk. A number called the risk aversion coefficient controls how much the investor cares about keeping volatility low versus maximising return. A value around 3 is typical. A value closer to 1 means the investor accepts more risk in exchange for higher returns.
Ms D tells her wealth manager she can tolerate a portfolio that might fall 10% in a bad year. Using a risk aversion coefficient of 3 and the expected return and risk estimates for each asset class, the optimiser builds a portfolio where the expected annual volatility is exactly 10%. The manager then adjusts slightly to give Ms D more equities she prefers, with only a small reduction in expected return.
The Surplus: The Number Most People Ignore
Most people look at their total savings and think that is their wealth. But the real number is savings minus all future spending obligations. That gap is called the surplus, and it is much smaller than most people realise.
Consider a couple, Mr and Ms E. They have total assets of 68.65 lakh rupees. Their liabilities include a mortgage, credit card debt, and the estimated present value of all their future retirement spending and the bequest they want to leave their children. Total liabilities come to 65.30 lakh rupees. Their surplus is just 3.35 lakh rupees, which is less than 5% of total assets.
This means a fall of just 5% in their assets, if liabilities stay the same, completely wipes out their surplus. Their position is far more fragile than their total assets suggest.
Managing the surplus well means investing assets in a way that keeps the surplus growing without too much risk. The key insight is that some assets, especially long-duration bonds, move in a similar direction to long-term liabilities when interest rates change. Holding those assets reduces the volatility of the surplus even if it looks risky in isolation.
Wealth managers who think this way provide something more valuable than raw returns. They provide financial stability relative to what a client actually needs.