Introduction to Foreign Exchange (FX) Markets

Chapter 8
Currency Exposure Identification and Measurement

Graduate Program in International Business
Introduction to Foreign Exchange (FX) Markets   •   Graduate

Currency Exposure Identification and Measurement

Introduction

Foreign exchange exposure is the extent to which changes in exchange rates can alter a firm’s cash flows, accounting measures, competitive position, or economic value. It is not limited to firms that trade currencies in financial markets. Any organization that buys, sells, borrows, invests, employs workers, or competes across currency areas may be exposed.

Exposure management begins with identification rather than hedging. A treasury department cannot select an appropriate hedge until it knows which currency is involved, when the relevant cash flow occurs, whether the exposure is contractual or forecast, and how exchange-rate changes affect value. Poorly defined exposures can lead to over-hedging, under-hedging, accounting volatility, or speculation disguised as risk management.

This chapter distinguishes transaction, translation, economic, contingent, and competitive exposures. It develops a cash-flow mapping process, explains netting and measurement, and applies sensitivity analysis, scenario analysis, stress testing, and foreign exchange value at risk (FX VaR). The emphasis is managerial: measurement should support decisions about pricing, sourcing, financing, investment, and governance.

Learning Objectives

By the end of this chapter, readers should be able to:

  1. Distinguish the principal forms of foreign exchange exposure.
  2. Map foreign-currency cash flows by currency, amount, timing, and direction.
  3. Calculate gross and net currency positions and explain the assumptions behind them.
  4. Measure exposure using sensitivity, scenario analysis, and stress testing.
  5. Calculate and interpret a basic FX VaR estimate.
  6. Evaluate the limitations, governance requirements, and strategic implications of exposure measurement.

1. The Meaning of Currency Exposure

A currency exposure exists when an exchange-rate movement changes an economic outcome relevant to the firm. The outcome may be:

  • a realized cash receipt or payment;
  • the reported value of a foreign subsidiary;
  • the present value of expected future cash flows;
  • the probability or value of a contingent transaction; or
  • the firm’s competitive position relative to foreign rivals.

Exposure is therefore broader than a foreign-currency balance. A company may have no invoice denominated in a foreign currency but still face economic exposure if a competitor’s currency depreciates and enables that competitor to lower prices.

Two distinctions are especially important. First, exposure is not the same as risk. Exposure describes sensitivity to a risk factor; risk incorporates uncertainty about the factor and the distribution of possible outcomes. Second, a currency position is not necessarily a trading position. A long position may arise naturally from export receipts, while a short position may arise from import payments. The firm’s objective is normally to manage business risk, not to create an unconnected speculative position.

2. Five Forms of Foreign Exchange Exposure

2.1 Transaction exposure

Transaction exposure arises from contractual foreign-currency cash flows whose domestic-currency value changes before settlement. Typical examples include:

  • an export receivable denominated in euros;
  • an import payable denominated in U.S. dollars;
  • foreign-currency interest or principal payments;
  • a committed purchase or sale; and
  • declared dividends from a foreign subsidiary.

Suppose a Canadian company will receive €1 million in 90 days. If its reporting currency is the Canadian dollar, the Canadian-dollar value at settlement depends on the EUR/CAD exchange rate at that date. The exposure normally ends when the receivable is collected or converted.

Transaction exposure is comparatively measurable because the amount and settlement date are often known. Nevertheless, uncertainty may remain if the customer delays payment, the invoice is disputed, or the amount is denominated in a currency different from the firm’s operating currency.

2.2 Translation exposure

Translation exposure, also called accounting exposure, results from converting foreign subsidiaries’ financial statements into the parent’s presentation currency. It can affect reported assets, liabilities, equity, revenue, and income, even when no cash is exchanged.

The treatment depends on the accounting framework and functional currency. Under common standards, some translation differences are reported in other comprehensive income, whereas transaction gains and losses may enter profit or loss. The accounting classification does not eliminate the underlying economic effect, but it changes where volatility appears in the financial statements.

Translation exposure matters because it can affect reported leverage, earnings, covenant ratios, investor perceptions, and performance comparisons. It should not automatically be hedged as though it were a cash-flow exposure. A hedge may reduce reported volatility but can also introduce costs, ineffectiveness, liquidity demands, and new risks.

2.3 Economic exposure

Economic exposure is the effect of exchange-rate changes on the present value of the firm’s expected future operating cash flows. It includes both contractual and forecast cash flows and is usually the broadest and most strategically important exposure.

For example, a Japanese manufacturer producing in Japan and selling globally may experience a decline in foreign-currency revenue when the yen appreciates. A European firm purchasing components in dollars may experience increased costs when the dollar strengthens. Economic exposure includes the interaction of prices, volumes, costs, market share, and investment decisions.

Unlike transaction exposure, economic exposure may persist indefinitely. It depends on forecasts, elasticities, competitor responses, and the firm’s ability to change suppliers, locations, prices, or financing. Measurement is consequently model-dependent and uncertain.

2.4 Contingent exposure

Contingent exposure depends on whether a future event occurs. Examples include:

  • a bid submitted in a foreign currency;
  • a foreign-currency sales quotation;
  • a forecast acquisition;
  • an expected capital investment;
  • a loan commitment; or
  • a claim, guarantee, or litigation settlement.

A firm may not yet have a legally enforceable cash flow, but exchange rates can affect the value or competitiveness of the opportunity. Hedging contingent exposure requires careful attention to hedge documentation, probability, timing, and the consequences if the event does not occur. A hedge that is appropriate for a highly probable transaction may become an unwanted position if the underlying transaction is cancelled.

2.5 Competitive exposure

Competitive exposure describes the effect of exchange rates on relative prices, costs, market share, and strategic position. It is closely related to economic exposure but emphasizes rivalry and industry structure.

A domestic firm may lose market share when a foreign competitor’s currency depreciates, even if the domestic firm has no foreign-currency invoice. Conversely, a currency depreciation may improve an exporter’s competitiveness, although imported inputs may become more expensive. Competitive exposure requires analysis of competitors’ cost structures, pricing currencies, production locations, and customer substitution.

ExposureMain sourceTypical horizonCash impact?Common measurement
TransactionContractual foreign-currency cash flowShort to medium termUsually yesNet cash-flow position
TranslationConsolidation of foreign statementsReporting periodsUsually no immediate cash impactBalance-sheet sensitivity
EconomicFuture operating cash flows and firm valueMedium to long termYes, through operationsCash-flow and valuation sensitivity
ContingentPossible future transactionEvent-dependentIf event occursProbability-weighted scenarios
CompetitiveRelative prices, costs, and market shareStrategic horizonIndirectlyIndustry and strategic scenarios

3. Mapping Foreign-Currency Cash Flows

A reliable exposure process begins with a currency map. The map should include legal entities, business units, currencies, direction, amount, timing, certainty, and the exchange-rate quotation convention.

3.1 The cash-flow inventory

For each item, record:

  1. Currency: for example USD, EUR, GBP, or JPY.
  2. Direction: receipt or payment.
  3. Amount: nominal foreign-currency amount and, where relevant, expected amount.
  4. Date or maturity bucket: exact date or period such as one month, three months, or one year.
  5. Certainty: committed, highly probable, forecast, or contingent.
  6. Reference rate: spot, forward, or another relevant market rate.
  7. Entity and business purpose: sales, procurement, debt, dividend, investment, or other.
  8. Existing hedge: instrument, notional, maturity, and hedge ratio.

The inventory should distinguish external cash flows from intragroup flows. Consolidation may eliminate an intragroup balance for accounting purposes, but the subsidiary may still face a real currency exposure to its functional currency.

3.2 Sign conventions and net positions

Let a positive amount represent a foreign-currency receipt and a negative amount represent a payment. For currency i and time bucket t, the net foreign-currency cash flow is:

Ni,t = Ri,t − Pi,t

where Nᵢ,ₜ is the net position in units of currency i, Rᵢ,ₜ is receipts, and Pᵢ,ₜ is payments. A positive N indicates a net long position; a negative N indicates a net short position. This identity applies to flows that are comparable in currency and time bucket.

If an existing hedge Hᵢ,ₜ is included, using the same sign convention, the residual position is:

Nresi,t = Ri,t − Pi,t + Hi,t

A hedge that provides a foreign-currency receipt is positive; a hedge that requires delivery of foreign currency is negative. The formula is useful only if hedge notionals, maturities, and settlement conventions are represented consistently.

Cash flows in different currencies cannot be netted directly. A USD receipt and a EUR payment remain separate currency exposures unless the firm explicitly models their joint exchange-rate behavior or converts them into a common reporting currency for a specified measurement date.

3.3 Worked example: netting by currency and maturity

An Australian company has the following three-month cash flows:

  • USD 2,000,000 export receipt;
  • USD 1,200,000 supplier payment;
  • EUR 900,000 royalty payment;
  • a forward contract to sell USD 500,000 and buy AUD.

Using positive receipts and negative payments:

NUSD,3m = 2{,}000{,}000 − 1{,}200{,}000 − 500{,}000 = 300{,}000 ext{ USD}

The residual USD position is long USD 300,000. The EUR position is short EUR 900,000. The company cannot offset the USD and EUR amounts merely because both are foreign currencies. It has two distinct residual positions with different risk factors and possibly different correlations.

If the USD/AUD rate is quoted as AUD per USD, an increase in the rate benefits a net USD receipt and harms a net USD payment. For the EUR payment, an increase in AUD per EUR increases the AUD cost.

4. Translating Exposure into Reporting Currency

Let Sᵢ,ₜ denote the reporting-currency value of one unit of currency i at time t. If the rate is quoted as reporting currency per unit of foreign currency, the reporting-currency value of a net position is:

Vi,t = Ni,t × Si,t

The unit check is foreign-currency units × reporting-currency/foreign-currency = reporting currency. For multiple currencies:

Vt = ∑i=1n Ni,t × Si,t

This aggregation is appropriate for a specified valuation date and quotation convention. It does not imply that exposures are interchangeable or that all currencies move together.

Worked example: value change

A firm is net long USD 300,000. The current AUD/USD quotation is AUD 1.50 per USD. The position is worth:

V0 = 300{,}000 × 1.50 = 450{,}000 ext{ AUD}

If the rate rises to AUD 1.56 per USD, the value becomes:

V1 = 300{,}000 × 1.56 = 468{,}000 ext{ AUD}

The gain is AUD 18,000. This result assumes the foreign-currency amount is fixed, settlement occurs at the measured rate, and transaction costs, interest, credit effects, and timing differences are ignored.

5. Sensitivity Analysis

Sensitivity analysis estimates the change in value resulting from a specified change in one risk factor while holding other factors constant. For a linear foreign-currency position:

∆Vi ≈ Ni × ∆Si

where ∆Vᵢ is the change in reporting-currency value, Nᵢ is the net foreign-currency position, and ∆Sᵢ is the change in the reporting-currency-per-foreign-currency exchange rate.

For a foreign-currency asset or receipt, Nᵢ is positive; for a liability or payment, it is negative. The approximation is exact for a fixed cash amount valued at a single spot rate, but it is only a first-order approximation when the exposure includes options, changing volumes, discounting, or nonlinear operating effects.

Percentage sensitivity

For a fixed foreign-currency amount, the percentage change in reporting-currency value is approximately the percentage change in the exchange rate:

∆Vi / Vi ≈ ∆Si / Si

For a net foreign-currency cash flow expected at a future date, the calculation should ideally use the relevant forward or expected spot rate and, for valuation, discount the resulting reporting-currency cash flow. The simple spot calculation is a practical exposure measure, not a complete valuation model.

Sensitivity analysis is valuable for daily treasury reporting because it identifies which currencies and maturities matter most. Its weakness is that it normally changes one variable at a time and may overlook correlations, nonlinearities, and management responses.

6. Scenario Analysis and Stress Testing

6.1 Scenario analysis

Scenario analysis changes several assumptions coherently. A scenario might combine a 10% dollar appreciation, lower export volumes, higher imported input costs, and a competitor price response. Scenarios may be historical, hypothetical, or macroeconomic.

A scenario table should specify:

  • exchange-rate assumptions;
  • operational assumptions such as volume and price;
  • interest rates and inflation where relevant;
  • affected currencies and time horizons;
  • expected cash-flow effects; and
  • management actions permitted in the scenario.

Scenario analysis is particularly useful for economic, competitive, and contingent exposures because these exposures are not fully described by a fixed contractual amount.

6.2 Stress testing

Stress testing examines severe but plausible outcomes. It should not be confused with a forecast. The purpose is to evaluate resilience, liquidity needs, covenant headroom, and the ability to execute hedges during market disruption.

Examples include:

  • a sudden 20% depreciation of the reporting currency;
  • a currency gap accompanied by a sharp increase in volatility;
  • a major counterparty default;
  • a market closure or severe reduction in liquidity; and
  • cancellation of a forecast transaction after a hedge has been entered.

Stress tests should include basis risk, rollover risk, collateral or margin calls, and the possibility that correlations fail during crisis conditions. A stress loss is not a probability estimate unless a probability is explicitly assigned.

6.3 Nonlinear exposures

Options and operating decisions can create nonlinear exposure. For example, an option may protect a payment beyond a strike price but have limited cost when the currency moves favorably. A firm may also alter prices or sourcing when exchange rates cross a threshold.

For nonlinear instruments, the linear sensitivity formula may be insufficient. A practical approach is to revalue the instrument or cash-flow model under each scenario. Measures such as delta, gamma, and vega may be used for derivatives, but they should be interpreted together with the instrument’s maturity, volatility assumptions, and exercise features.

7. Foreign Exchange Value at Risk

FX VaR estimates a loss threshold over a specified horizon and confidence level under a stated model. A one-day 99% VaR of $1 million means that, under the model and assumptions, the estimated loss should not exceed $1 million on approximately 99% of days. It does not mean that the maximum possible loss is $1 million, nor does it imply that the estimate is correct during a crisis.

7.1 Parametric VaR for a single linear position

Assume a linear position with reporting-currency value V and return volatility σ over a chosen horizon. If returns are approximately normally distributed and the position is sufficiently linear, a one-sided parametric VaR can be written as:

VaRα = zα × σV × V

where α is the confidence level, zα is the corresponding standard-normal quantile, σV is the standard deviation of the percentage change in value over the horizon, and V is the current absolute position value. For a long or short position, VaR measures adverse movement, so the sign of the exposure is handled by considering the adverse direction or using absolute value.

If daily volatility is σ₁ and the horizon is h trading days, the square-root-of-time rule gives:

σh ≈ σ1 × √h

This rule assumes independently and identically distributed returns with stable volatility. It is less reliable during volatility clustering, market disruption, or nonlinear payoff conditions.

7.2 Worked VaR example

A firm has a net long USD exposure worth £2,000,000. Estimated one-day USD/GBP volatility is 0.8%. Using a 99% normal quantile of 2.326:

VaR_{99 ext{%,1d}} = 2.326 × 0.008 × 2{,}000{,}000 = £37{,}216

The interpretation is model-based: the estimated one-day loss threshold at 99% confidence is approximately £37,216. The estimate assumes a linear exposure, stable volatility, normally distributed returns, and no material transaction costs or liquidity effects.

For a two-currency portfolio, a covariance matrix is required. Let w be the vector of reporting-currency exposures and Σ the covariance matrix of currency returns. Portfolio standard deviation is:

σP = √(wᵀΣw)

Then the parametric portfolio VaR is approximately zα × σP for value-normalized returns, or zα × σP when w is expressed in reporting-currency amounts and Σ contains return covariances. The dimensions must be kept consistent: exposure amounts multiplied by return covariance produce squared reporting-currency amounts, and the square root produces reporting-currency risk.

7.3 Historical and Monte Carlo approaches

Historical simulation applies actual historical currency changes to today’s portfolio and observes the resulting profit and loss distribution. It avoids a normality assumption but depends heavily on the selected sample period and may omit unprecedented events.

Monte Carlo simulation generates many joint currency-rate scenarios from an assumed model. It can incorporate correlations, stochastic volatility, and nonlinear derivatives, but model risk can be substantial. The method is only as credible as its distributions, correlations, pricing functions, and calibration data.

VaR should be complemented by expected shortfall, stress testing, sensitivity analysis, and liquidity analysis. VaR does not describe the average loss beyond the threshold and can encourage false confidence when tail behavior is poorly modeled.

8. Integrated Application: Meridian Components

The following is an illustrative case, not a report on an actual company.

Background

Meridian Components, a United Kingdom manufacturer, reports in pounds. In three months it expects:

  • USD 4 million from North American customers;
  • USD 2.5 million for imported electronic components;
  • EUR 1.2 million for a German production contract; and
  • a probable USD 1 million capital-equipment purchase in six months.

Meridian also owns a U.S. subsidiary whose net assets are USD 18 million. The subsidiary’s results are consolidated into the group accounts.

Problem

Management wants to know which exposures are contractual, which are forecast, and which are strategic. It must also determine whether the proposed hedge would reduce risk or merely shift it between cash flow, accounting results, and future operating flexibility.

Analysis

The three-month USD operating position is:

NUSD,3m = 4.0 − 2.5 = +1.5 ext{ million USD}

Meridian is therefore net long USD 1.5 million over three months. The EUR position is short EUR 1.2 million. The six-month equipment purchase is contingent or forecast until the procurement decision is sufficiently firm. It should be tracked separately rather than netted into the three-month contractual position.

The USD 18 million subsidiary balance represents translation exposure. It is not equivalent to the three-month USD cash-flow position. If the pound appreciates against the dollar, the translated value of the subsidiary’s net assets may fall, while the USD export receipt may also produce fewer pounds. The two exposures may partially offset in some outcomes, but their accounting treatment, timing, and economic purposes differ.

Assume the current GBP/USD quotation is £0.79 per USD. The three-month net USD cash flow has a current approximate value of:

1.5 ext{ million} × £0.79 = £1.185 ext{ million}

If the pound appreciates so that the rate falls to £0.74 per USD, the value becomes £1.110 million. The approximate adverse change for the net USD receipt is £75,000. The EUR payment must be analyzed separately using the GBP/EUR rate.

Approach

The treasury team should first establish a policy hedge ratio for committed cash flows, perhaps using forwards for the highly certain USD receipt and payment after considering timing and netting. The exact ratio is a governance decision, not a mechanical consequence of the exposure calculation. The probable equipment purchase may be hedged partially, using an instrument that limits downside while preserving flexibility if the investment is cancelled.

Management should also model operating responses. If the pound appreciates, Meridian might increase foreign sourcing, adjust customer prices, or shift production. Those responses could reduce or increase economic exposure. The subsidiary translation exposure should be reported separately, with any hedge evaluated against accounting objectives, financing policy, and long-term investment intentions.

Outcome

The exposure map produces four distinct management reports:

  1. a three-month contractual USD cash-flow position;
  2. a three-month contractual EUR payment position;
  3. a six-month contingent USD investment exposure; and
  4. a long-term USD translation and competitive exposure.

A scenario in which sterling appreciates by 10% should include the direct cash-flow effect, the translated subsidiary effect, possible changes in component costs, customer demand, and competitor pricing. A stress test should add a liquidity shock and examine whether hedges generate collateral requirements or become mismatched after the equipment purchase is cancelled.

Learning points

The case demonstrates that currency aggregation is useful only after exposures are classified. Netting cash flows in the same currency and maturity bucket can reduce operational complexity, but netting contractual, accounting, contingent, and competitive exposures into one number can conceal important differences. Measurement must therefore be multidimensional: amount, timing, certainty, accounting location, and strategic effect.

9. Governance, Technology, and Professional Practice

Effective exposure management requires a documented policy approved by the board or a treasury risk committee. The policy should define permitted instruments, authorized counterparties, hedge ratios, limits, reporting frequency, segregation of duties, valuation controls, and escalation procedures.

Data quality is often more important than model sophistication. Enterprise resource planning systems, treasury management systems, bank feeds, and forecasting platforms can consolidate invoices, purchase orders, debt schedules, and intercompany balances. However, automated systems may classify a forecast incorrectly, duplicate a transaction, or fail to capture commercial commitments. Reconciliations and human review remain essential.

Artificial intelligence can assist with anomaly detection, cash-flow forecasting, and extraction of currency information from contracts. It should not independently determine hedge intent or override governance controls. Models must be validated for data leakage, structural breaks, bias in forecasts, explainability, and cybersecurity. A forecast generated from historical invoices may perform poorly after a strategic sourcing change or geopolitical disruption.

Professional conduct requires accurate reporting of exposures and hedges. Concealing a speculative position as a hedge, manipulating forecast probabilities to justify a derivative, or ignoring a cancelled underlying transaction can create accounting, regulatory, and reputational consequences. Counterparty credit risk, collateral terms, central clearing requirements, sanctions restrictions, and market-abuse rules may also affect instrument selection.

10. Limitations and Best Practices

Exposure measurement has unavoidable limitations:

  • forecasts can be wrong or cancelled;
  • exchange-rate relationships can change;
  • correlations may rise during crises;
  • accounting exposure may not equal cash-flow exposure;
  • operating management may respond to currency movements;
  • derivatives introduce basis, rollover, liquidity, and counterparty risks; and
  • models may understate extreme losses.

Best practice is to combine several methods rather than rely on a single metric. A robust process should:

  1. maintain a currency-by-currency cash-flow inventory;
  2. separate committed, forecast, contingent, translation, and competitive exposures;
  3. net only comparable amounts and maturities;
  4. report both gross and residual positions after hedging;
  5. use sensitivity analysis for transparency;
  6. use coherent scenarios and severe-but-plausible stress tests;
  7. validate VaR with back-testing and independent risk measures;
  8. monitor liquidity and counterparty effects; and
  9. review assumptions after strategic or market changes.

The ultimate purpose of measurement is not to produce a single precise number. It is to improve decisions about prices, sourcing, financing, investment, hedging, and resilience.

Chapter Summary

Foreign exchange exposure is the sensitivity of cash flows, reported values, firm value, or competitive position to currency movements. Transaction exposure concerns contractual foreign-currency cash flows; translation exposure concerns consolidation; economic exposure concerns future operating cash flows; contingent exposure concerns possible transactions; and competitive exposure concerns relative market position.

A disciplined process maps each cash flow by currency, direction, amount, maturity, certainty, entity, and hedge status. For comparable flows, the net position is receipts minus payments, while different currencies and maturity buckets should not be netted indiscriminately. Reporting-currency values follow from the exchange-rate quotation convention and require consistent units.

Sensitivity analysis provides transparent first-order estimates. Scenario analysis changes several assumptions coherently, while stress testing examines severe but plausible conditions. FX VaR summarizes a modeled loss threshold but depends on distributional, volatility, correlation, liquidity, and linearity assumptions. No single measure captures all exposure. Effective management combines quantitative tools with governance, data controls, professional judgment, and strategic analysis.

Key Terms

Exposure: Sensitivity of an economic or accounting outcome to a risk factor.

Transaction exposure: Risk arising from contractual foreign-currency cash flows before settlement.

Translation exposure: Accounting effect of converting foreign financial statements into the parent’s currency.

Economic exposure: Effect of exchange rates on the present value of expected future operating cash flows.

Contingent exposure: Exposure dependent on whether a future event or transaction occurs.

Competitive exposure: Effect of currency movements on relative prices, costs, market share, and rivalry.

Net position: Receipts minus payments in a specified currency and time bucket.

Long position: A position that benefits from an increase in the reporting-currency value of the foreign currency.

Short position: A position that benefits from a decrease in the reporting-currency value of the foreign currency.

Sensitivity analysis: Measurement of the effect of changing one risk factor while holding others constant.

Scenario analysis: Evaluation of a coherent set of changes in several assumptions.

Stress testing: Examination of severe but plausible adverse conditions.

FX VaR: Model-based estimate of a loss threshold over a specified horizon and confidence level.

Volatility: Statistical measure of variability in exchange-rate returns.

Correlation: Degree to which currency returns move together.

Basis risk: Risk that the hedge and the underlying exposure do not move identically.

Rollover risk: Risk arising when a hedge matures before the exposure is settled.

Residual exposure: Exposure remaining after hedging or netting.

Hedge ratio: Proportion of an exposure covered by a hedge.

Review Questions

Short Answer Questions

  1. What distinguishes transaction exposure from translation exposure?
  2. Why should cash flows in different currencies not normally be netted directly?
  3. What does a positive net foreign-currency position represent?
  4. What is the purpose of stress testing?
  5. Why is FX VaR not a measure of maximum possible loss?

Long Answer Questions

  1. Explain the five principal forms of foreign exchange exposure and give one example of each.
  2. Describe a complete process for mapping a multinational firm’s foreign-currency cash flows.
  3. Compare sensitivity analysis, scenario analysis, stress testing, and FX VaR.
  4. Discuss why economic and competitive exposure are more difficult to measure than transaction exposure.
  5. Evaluate the governance and data-quality requirements for a professional FX exposure-management program.

Analytical / Application Questions

  1. A firm expects a USD 6 million receipt and a USD 4 million payment in three months. It has a forward requiring delivery of USD 500,000. Calculate the residual USD position and explain whether it is long or short.
  2. A company has a net long EUR 2 million position. The reporting-currency value of one euro falls by 0.04. Estimate the change in reporting-currency value and explain the direction of the effect.
  3. Design a scenario and a stress test for a firm whose revenues are in USD, costs are in EUR, and a major investment decision is contingent on receiving regulatory approval.

Multiple Choice Questions with Answers

Question 1

Which exposure arises from converting a foreign subsidiary’s financial statements into the parent’s reporting currency?

A. Transaction exposure

B. Translation exposure

C. Contingent exposure

D. Competitive exposure

Correct Answer: B. Translation exposure

Question 2

A firm expects foreign-currency receipts of 5 million and payments of 3 million in the same currency and maturity bucket. Its net position is:

A. Short 8 million

B. Short 2 million

C. Long 2 million

D. Long 8 million

Correct Answer: C. Long 2 million

Question 3

If a firm is net long a foreign currency and the reporting-currency-per-foreign-currency exchange rate rises, the fixed foreign-currency position generally:

A. Increases in reporting-currency value

B. Decreases in reporting-currency value

C. Becomes a translation exposure only

D. Has no valuation effect

Correct Answer: A. Increases in reporting-currency value

Question 4

Which exposure depends on whether a future event, such as a bid being accepted, actually occurs?

A. Contingent exposure

B. Translation exposure

C. Settlement exposure

D. Historical exposure

Correct Answer: A. Contingent exposure

Question 5

A net foreign-currency position is 400,000 units and the exchange rate changes by 0.03 reporting-currency units per foreign-currency unit. The approximate value change is:

A. 12,000 reporting-currency units

B. 13,333 reporting-currency units

C. 120,000 reporting-currency units

D. 1,200,000 reporting-currency units

Correct Answer: A. 12,000 reporting-currency units

Question 6

What is the principal purpose of scenario analysis?

A. To change several assumptions coherently

B. To guarantee the most likely forecast

C. To eliminate all model risk

D. To measure only accounting translation differences

Correct Answer: A. To change several assumptions coherently

Question 7

A one-day 99% FX VaR of $50,000 means that:

A. The firm cannot lose more than $50,000 in one day

B. The expected daily profit is $50,000

C. Under the model, the loss should not exceed $50,000 on approximately 99% of days

D. The firm will lose exactly $50,000 once every 100 days

Correct Answer: C. Under the model, the loss should not exceed $50,000 on approximately 99% of days

Question 8

Which assumption is associated with the square-root-of-time rule for scaling volatility?

A. Returns are independently and identically distributed with stable volatility

B. Exchange rates never exhibit correlation

C. All exposures are nonlinear

D. The confidence level is always 100%

Correct Answer: A. Returns are independently and identically distributed with stable volatility

Question 9

Why should a probable six-month capital purchase normally be tracked separately from a committed three-month payable?

A. They are necessarily in different reporting currencies

B. The purchase is contingent or forecast and may not occur

C. Forecast transactions have no currency exposure

D. Committed payables cannot be hedged

Correct Answer: B. The purchase is contingent or forecast and may not occur

Question 10

Which is a limitation of relying exclusively on FX VaR?

A. It cannot summarize any portfolio exposure

B. It always includes liquidity and counterparty risk perfectly

C. It may understate losses when distributions or correlations change during crises

D. It is applicable only to translation exposure

Correct Answer: C. It may understate losses when distributions or correlations change during crises

Introduction to Foreign Exchange (FX) Markets
Chapter 8 of 14