Market risk is the possibility of loss or adverse cash-flow changes caused by movements in prices, rates, spreads, exchange rates, or volatility.
Market risk is the possibility of loss, valuation change, or adverse cash-flow effects caused by movements in market prices or market risk factors. Those factors include interest rates, credit spreads, equity prices, foreign-exchange rates, commodity prices, implied volatility, and relationships between prices.
Market risk affects investors, financial institutions, and businesses. A bond can lose value when rates rise even if the issuer makes every payment. An exporter can receive fewer reporting-currency units when an exchange rate changes. A manufacturer can face higher input costs when a commodity price rises.
| Risk factor | What changes | Example |
|---|---|---|
| Interest rate | Yield level, curve shape, or basis | A fixed-rate bond falls when required yields rise |
| Credit spread | Required compensation above a reference curve | A corporate bond falls even without default |
| Equity price | Share price, equity index, or factor | A portfolio declines with the broad stock market |
| Foreign exchange | Price of one currency in another | A foreign investment loses value in the reporting currency |
| Commodity price | Physical or derivative commodity benchmark | Fuel costs rise for a transportation company |
| Volatility | Market price of uncertainty embedded in options | An option changes value even if the underlying price is unchanged |
| Basis and correlation | Relationship between related positions | A hedge and its exposure diverge |
The exact regulatory scope depends on the framework. The Basel Framework includes interest-rate, credit-spread, equity, foreign-exchange, commodity, and specified default risks in its market-risk rules for banks. An investor or nonfinancial company may organize the same factors differently.
Market exposure is the amount or sensitivity connected to a market factor. Market risk is the uncertainty around that factor and the resulting potential loss or cash-flow effect.
For example:
USD 2 million of shares is a market-value exposure1.2 is a sensitivity to broad equity-market returns$8,000 estimates the bond-value change for a one-basis-point yield move$15,000 estimates the option-value change for a specified change in implied volatilityExposure is not measured reliably by a single universal number. Notional value can be useful for contract scale but misleading for options, swaps, offsetting positions, and leveraged structures.
Assume a portfolio has:
$10 million of long equity positions$6 million of short equity positionsGross exposure is $16 million; simple net exposure is $4 million long.
The net amount does not prove that only $4 million is at risk. The long and short positions may differ by industry, country, liquidity, factor sensitivity, or volatility. Gross exposure helps show total position scale, while net exposure helps show directional balance. Both require sensitivity and stress analysis.
For a portfolio with approximately linear exposures, a small market move can be summarized as:
where (S_i) is sensitivity to risk factor (i) and (\Delta x_i) is the change in that factor.
Common measures include:
| Measure | Primary use | Limitation |
|---|---|---|
| Market value | Current position size | Does not show factor sensitivity |
| Notional amount | Contract or reference amount | Can overstate or understate economic exposure |
| Delta | First-order price sensitivity | Misses curvature for larger moves |
| DV01 or PV01 | Value change for a one-basis-point rate move | Depends on instrument and curve assumptions |
| Duration | Approximate bond-price sensitivity to yield | Less accurate for large moves or embedded options |
| Beta | Historical or modeled equity-market sensitivity | Depends on benchmark and estimation period |
| Vega | Sensitivity to implied volatility | Does not capture every volatility-surface change |
Options, callable bonds, mortgage assets, and other nonlinear positions may require gamma, convexity, scenario, and full-revaluation methods.
Consider a simplified portfolio:
| Position | Exposure measure | Scenario | Approximate result |
|---|---|---|---|
| Equity portfolio | $5 million, beta 1.2 | Broad market falls 8% | -$480,000 |
| Bond portfolio | DV01 $8,000 | Yields rise 50 basis points | -$400,000 |
| Commodity purchase | 100,000 units | Price rises $0.40 per unit | -$40,000 higher cost |
Before diversification effects, nonlinear behavior, and interaction between risk factors, the estimated adverse effect is $920,000.
This is a scenario, not a forecast. Beta can change, DV01 is a local approximation, and commodity basis or quantity can differ from the stated assumption. The exercise is useful because it states the position, factor move, sensitivity, and consequence.
No single method is sufficient:
Sensitivity analysis changes one factor at a time. It is transparent and useful for limit monitoring, but it can miss interaction, changing correlations, and nonlinear losses.
Scenarios change several factors together. A rate shock may be combined with wider credit spreads, lower equity prices, a stronger funding currency, and reduced liquidity. Scenarios should identify whether shocks are historical, hypothetical, or regulatory.
Value at Risk (VaR) estimates a loss quantile over a stated time horizon and confidence level under a defined model. Results are not comparable unless the horizon, confidence level, methodology, data window, and portfolio scope are known.
Expected Shortfall estimates the average modeled loss beyond a selected quantile. It provides information about the modeled tail but remains dependent on data and assumptions.
Stress testing evaluates severe but plausible combinations, concentration, liquidity deterioration, and hedge breakdown. Reverse stress testing can ask what market conditions would breach a capital, liquidity, or risk limit.
| Risk | Primary source | Distinguishing question |
|---|---|---|
| Market risk | Prices, rates, spreads, FX, commodities, volatility | How does value change when market factors move? |
| Credit risk | Failure or deterioration of an obligor or counterparty | Will promised amounts be paid? |
| Liquidity risk | Inability to fund or trade without unacceptable loss | Can cash be raised or a position exited in time? |
| Operational risk | Failed people, processes, systems, or external operations | Did execution or control failure cause the loss? |
| Event risk | A discrete event and its transmission | What changes if a specified event occurs? |
| Systemic risk | Disruption transmitted across institutions or markets | Could distress impair the wider financial system? |
In portfolio theory, systematic risk means broad nondiversifiable market exposure, while idiosyncratic risk is specific to an issuer or position. Institutional market-risk frameworks can be broader than this CAPM distinction and may include position-specific spread or default components for trading instruments.
See Systematic Risk, Idiosyncratic Risk, and Systemic Risk for those separate concepts.
Controls can include:
A hedge changes exposure rather than removing all risk. It may introduce basis, counterparty, margin, liquidity, or operational risk.
Regulatory scope, disclosure rules, and measurement requirements vary by institution and jurisdiction and can change. Check the current framework applicable to the entity.
This article is for financial education only. It does not evaluate a specific portfolio, security, institution, or hedge and is not personalized investment, trading, accounting, legal, regulatory, or risk-management advice.