NISM Series XXI-B · Chapter 17: Risk
L1 · FoundationRisk — the ground floor
What risk means for a portfolio manager, the six-step risk management process, the eleven kinds of risk the workbook names, how each is measured — beta, VaR, stress tests, bid-ask spreads, credit metrics — and the four ways to treat a risk.
16 min read · Worth 7% of the paper · Written from pages 279–303 of the official NISM workbook · Updated 18 September 2026
Risk is the price of return
Investing is intrinsically risky. Return is the reward for taking risk. So defining, spotting and managing risk is a core part of portfolio management.
The workbook's definition: risk is the variability of outcomes, which can relate to the value of assets or to earnings.
Higher expected return comes with higher inherent risk. Some risks can be mitigated; a few cannot. A prudent investor keeps an optimal balance of risk and return.
The risk management process
At the strategic level, the portfolio manager creates a risk framework that fits the investment objective. It builds awareness and culture across both investment and operations teams. It must be maintained, monitored and modified continuously.
The six steps:
- Setting objectives — define investment objectives together with their risks. This helps with risk tolerance, performance measurement, rebalancing and reporting.
- Identification — list all major and minor risks, keeping the objective in mind.
- Analysing — judge each risk's impact. Some are overwhelming, some negligible. Some can be quantified, others cannot.
- Evaluating — rank risks by impact. The two key metrics are severity of risk and frequency of occurrence.
- Treatment — take one or more of four actions: Tolerate, Mitigate, Transfer, Terminate (close the activity).
- Control and monitor — capture, analyse and report data, and modify the framework. Risk management is iterative.
A good framework aligns risk with objectives, helps investors understand the portfolio's risk profile, limits unwarranted risk, avoids losses that could lead to bankruptcy, improves information flow, detects risks and frauds early, improves compliance and audit, and helps create value.
Two broad families of risk
- Investment risks — the portfolio's value and return are at risk (markets go up and down).
- Compliance and operational risks — from defaults, operational failures and so on.
Market risk (systematic)
Market risk comes from factors that affect all investment opportunities, though to different degrees.
| Asset class | Main market risk drivers |
|---|---|
| Equities | Stock price change; sentiment and policy can override company prospects — recession, pandemic, interest rates, government policy |
| Bonds | Interest rates; for corporate bonds, credit spread too |
| Currency | Interest-rate differential, economic and political stability, debt, demand-supply |
| Commodity | Interest rate, demand and supply, cyclicality |
Market risk cannot be diversified away. It is mitigated by hedging with options, futures and swaps. It is also called systematic risk. It is measured by beta.
Non-market risk (unsystematic)
Non-market risk is specific to companies, sectors or instruments — unique or idiosyncratic risk. It can be reduced by diversification.
It splits into:
- Sector-specific risk — affects companies in one sector only, such as a new regulatory compliance cost.
- Company-specific risk, of two kinds:
- Business risk — actual performance falls short: product failure, price wars, supply chain disruption, labour issues, regulatory reprimands. Measured well by variability of cash flows or EBITDA.
- Financial risk — a weak capital structure; more than sustainable debt is a sure cause. Measured by leverage measures.
The workbook treats operational, legal and compliance risk at company level as subsets of business risk.
Total investment risk = market (systematic) risk + specific (non-systematic) risk.
Portfolio risk and diversification
Portfolio risk depends on each asset's risk and return and on their correlations. An optimal portfolio gives the maximum return for the investor's risk tolerance.
When assets are not perfectly correlated, portfolio risk is less than the weighted sum of individual risks. That is diversification. But the law of diminishing returns applies: this chapter says after about 30 to 35 stocks, further risk reduction is very small. Later, under managing non-market risk, it suggests 35 or more constituents. Chapter 16 of the same workbook puts the flattening point at 20 to 30 securities. Know all three.
Perfectly negatively correlated assets would be ideal, but in real life they are hard to find — except insurance products or put options on the portfolio.
The other named risks
Liquidity risk. The risk of a big price impact when the market is not deep enough for the size you want to trade — or of not selling the desired size at the desired price. It shows up in the bid-ask spread: lower spread, higher liquidity. Exchange-traded securities are usually more liquid than over-the-counter ones. In bonds, on-the-run bonds trade more readily than others.
Operational risk. The risk of loss from inadequate or failed policies, processes, systems and people. Its genesis is poor planning and slow response by the operations manager. The fix is an "iron grip" MIS tracking delays, errors and reconciliation, plus: train people, audit IT systems, monitor deviations, review internal policies, and use forced breakdowns to find loopholes.
Regulatory risk. Changes in laws or regulation that raise costs or reshape competition — examples include Securities Transaction Tax, Dividend Distribution Tax, repatriation tax, separation of distribution and advisory, and the absence of Double Taxation Avoidance Treaties. It can even close a business. Non-compliance brings penalties and permanent loss of client trust. Portfolio managers have fiduciary duties, so this assessment is of highest importance.
Legal risk. A third party sues for breach of contract, causing loss through a (i) lengthy, (ii) costly or (iii) unfavourable verdict. Regulatory risk is a part of legal risk. Regulatory risk is about unfavourable changes in rules; legal risk is about enforceability of contracts.
Geo-political risk. A country's economy suffers because of its relations with other countries or regional groups. It is long-term and often priced in, but prices swing widely when tensions flare.
Currency risk. Adverse exchange-rate moves on foreign-currency investments. Largely mitigated with futures, forwards and swaps. Managers must also check investee companies' own currency exposure.
Country risk. How a country's economic, political and business environment can cause loss.
| Type | Examples in the workbook | Traits |
|---|---|---|
| Developed | USA, England, Japan, Australia | Largest, most industrialised; rule of law; lower growth |
| Emerging | China, India, Brazil, Russia | Rapid industrialisation; high growth; higher political uncertainty |
| Smaller emerging ("Frontier") | Botswana, Kuwait, Nigeria, Iran | High risk–high return; high political risk; illiquid and small |
Generally, a better credit rating means lower country risk.
Concentration risk. Losses from a disproportionately large holding in one security, asset class or market — in short, lack of diversification. Three forms: intentional (sector funds), asset performance (one holding grows too big unless rebalanced), and correlated assets (looks diversified, moves together). Frameworks set threshold limits for security, sector, asset class and country.
Pandemic risk. Large outbreaks disrupt economic, social and political life. The workbook's example is COVID-19. Pandemic is a systematic risk, difficult to diversify, though some sectors are less affected.
Measuring risk
Modern risk measurement began with Markowitz's 1952 paper, which introduced the efficient frontier and mean-variance optimisation. Chapter 17 says Sharpe and Lintner added CAPM in 1964 (Chapter 16 dates Lintner's work to 1965), bringing in the risk-free asset, the super-efficient (market) portfolio, and beta as the relevant risk measure.
Value at Risk (VaR) is the estimated maximum potential loss (i) over a certain period, (ii) with a given probability, (iii) under a particular market condition.
Three ways to compute VaR:
| Method | How it works |
|---|---|
| Parametric | Simplest; uses mean and standard deviation; assumes (log-)normal returns |
| Historical simulation | Re-runs the current portfolio over past data (say 5 years), sorts returns, reads the percentile |
| Monte Carlo simulation | Randomly generates returns about 10,000 times; works best for complex portfolios; accepts any distribution |
VaR is simple, universally accepted including by regulators, and helps allocate capital. But it involves subjectivity and underestimates extreme losses and extreme gains.
Sensitivity analysis asks how the portfolio reacts to a factor: beta (equity), duration (bonds), delta, gamma, vega (options). Stress testing imagines an extreme negative event — past or hypothetical — to prepare for "black swan" shocks.
Liquidity risk is measured by the bid-ask spread and the time to execute without moving the price. Liquidity-adjusted VaR = regular VaR + cost of unwinding positions.
Credit risk is the risk that a counterparty fails to pay interest or principal fully and on time. Government and government-backed bonds are not expected to default domestically but are not completely credit-risk-free. In India a credit rating is mandatory before issuing any bond or commercial paper. Managers do their own research using the four Cs: Capacity, Collateral, Covenants and Capital, and look for warning signs such as a rating downgrade or a sudden widening of bid-ask spreads.
Managing risk
For market risk, strategies depend on the risk factors, the degree of leverage and regulatory guidelines. Risk parameters, scenario analysis, stress tests and VaR together set capital (risk budgeting), leverage, position limits, stop-loss limits, targets for beta and duration, and hedges such as a protective put. Past tolerate-and-mitigate thresholds, managers transfer risk — floating-to-fixed swaps, swaptions, reinsurance. If the risk is too large, they terminate.
For non-market risk: diversify (say 35 or more constituents), add poorly correlated assets, monitor investee companies, and terminate risks not worth carrying.
For risks that cannot be managed — the 2008 financial crisis, COVID-19, "Black Swan" events (a term coined by Taleb) — rely on preparedness: scenario planning, tail risk assessment, stress testing and simulation.
Beyond the book
Two Indian episodes show why the workbook's credit and liquidity warnings matter. IL&FS carried top-tier credit ratings until shortly before it began defaulting in 2018, and the downgrades came within weeks — the "sharp deterioration in credit quality" the workbook describes. In April 2020, Franklin Templeton India wound up six debt schemes, citing redemption pressure and illiquidity in the bond market during the COVID-19 shock — liquidity risk and credit risk arriving together. And the workbook's own regulatory-risk example, Dividend Distribution Tax, was itself abolished by the Finance Act, 2020 — a regulatory change in its own right.
Think of it like this
Risk treatment is how a housing society handles a leaking terrace
A few damp patches after the first rain? The society tolerates it. The patches spread? It mitigates — waterproofing the worst area. The whole terrace is failing? It transfers the risk — hires a contractor with a five-year guarantee, or claims under the building insurance. The structure itself is unsafe? It terminates — moves residents out.
A portfolio manager escalates the same way, guided by severity and frequency: tolerate, mitigate, transfer (swaps, swaptions, reinsurance), terminate.
VaR is the milk vendor's bad-day number
A milk vendor in Lucknow knows that on 95 days out of 100, spoilage costs him at most ₹1,200. That is his 95% VaR: a period (one day), a probability (95%), a normal-conditions assumption, and a rupee amount.
It does not say he never loses more. On about 5 days in 100 he will. And on the day of a city-wide power cut, the loss could be far larger — which is exactly why the workbook says VaR underestimates extreme losses and needs stress testing alongside it.
Bid-ask spread is the money-changer at the airport
At an airport counter you can buy dollars at ₹101 but sell them back at only ₹99. Walk in and walk straight out and you have lost ₹2 on every dollar. That gap is the bid-ask spread — the round-trip cost of liquidity.
A busy counter in a big city quotes a narrow gap; a lonely counter in a small town quotes a wide one. Try to change a very large amount and even the busy counter widens its gap. That is liquidity risk: size and depth decide the cost.
Concentration risk is a thali that is all rice
A thali looks full, but if nine of ten bowls hold the same rice, one bad batch ruins the meal. Worse, a thali with rice, pulao, biryani and jeera rice looks varied but is still all rice — that is the correlated-assets form of concentration.
And if you keep refilling only the bowl you like best, it slowly crowds out the rest — the asset-performance form, which rebalancing fixes. Sector funds are a thali ordered all-rice on purpose: intentional concentration.
Legal and regulatory risk are the cricket match and the rulebook
A dispute with the other team about whether a catch was clean is fought within the rules — that is legal risk, about enforcing an agreement, and it can be long, costly or go against you.
The board suddenly changing the rules mid-season — fewer overseas players, a new fielding restriction — is regulatory risk. The workbook places regulatory risk inside legal risk: rule changes are one of the ways the legal ground can shift under you.
Key terms in this chapter
- Bid-ask spread
- Ask price minus bid price; the cost of a round-trip trade and a measure of liquidity.
- Business risk
- The risk that a company's actual performance falls short of expectation. Measured well by variability of cash flows or EBITDA.
- Concentration risk
- Risk from a disproportionately large holding in one security, asset class or market — a lack of diversification.
- Country risk
- Risk of loss from a country's economic, political and business environment. Generally lower for countries with better credit ratings.
- Financial risk
- Risk from a weak or sub-optimal capital structure, especially unsustainable debt. Measured by leverage ratios.
- Frontier markets
- The workbook's other name for smaller emerging markets — high risk, high return, high political risk, illiquid and small.
- Geo-political risk
- Risk that a country's economy suffers because of its relations with other countries or regional groupings.
- Historical simulation
- A VaR method that applies the current portfolio to past returns, sorts them and reads the required percentile.
- Legal risk
- Risk of loss when a third party sues for breach of contract, through a lengthy, costly or unfavourable verdict; about enforceability of contracts.
- Liquidity-adjusted VaR
- Regular VaR plus the cost of unwinding positions.
- Liquidity risk
- The risk of not being able to sell a desired size at a desired price, reflected in the bid-ask spread.
- Loss Given Default (LGD)
- As defined in this workbook: expected loss in money terms from a borrower's default, calculated as probability of default × exposure at default.
- Market (systematic) risk
- Risk from factors that affect all investments. Cannot be diversified away; mitigated by hedging with options, futures and swaps; measured by beta.
- Monte Carlo simulation
- A VaR method that randomly generates portfolio returns about 10,000 times; suits complex portfolios and any distribution.
- Non-market (idiosyncratic) risk
- Risk specific to a company, sector or instrument. Also called unique, specific or unsystematic risk; reduced by diversification.
- Operational risk
- The risk of loss from inadequate or failed policies, processes, systems and people.
- Parametric VaR
- The simplest VaR method, using mean and standard deviation and assuming normal (or log-normal) returns.
- Regulatory risk
- Risk from unfavourable changes in laws and regulations. The workbook treats it as a part of legal risk.
- Risk
- The variability of outcomes, relating to the value of assets or to earnings.
- Risk framework
- A portfolio manager's strategic structure for identifying, analysing, evaluating, treating and monitoring risk in line with the investment objective.
- Risk treatment
- The four possible responses to a risk: Tolerate, Mitigate, Transfer, or Terminate the activity.
- Sensitivity analysis
- Measuring how a portfolio responds to a factor: beta for equity, duration for bonds, delta (and gamma, vega) for options.
- Significance level
- 1 minus the confidence level.
- Stress test
- Creating an extreme negative scenario, past or hypothetical, to assess the potential loss of a portfolio.
- Value at Risk (VaR)
- The estimated maximum potential loss over a certain period, with a given probability, under particular market conditions.
- Z-score
- The number of standard deviations from the mean. For VaR, one-tailed values are used: 1.282 (90%), 1.645 (95%), 2.33 (99%).
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Create a free accountOriginal explanatory writing based on the official NISM workbook for Series XXI-B, which is published and copyrighted by NISM. Check figures against the current edition at nism.ac.in.