Investment Analysis & Portfolio Management

Chapter 7
Derivatives and Risk Management Applications

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Investment Analysis & Portfolio Management   •   Post Graduate Diploma

Derivatives and Risk Management Applications

Introduction

Derivatives are financial contracts whose value is derived from an underlying asset, rate, index, or event. The underlying may be an equity share, bond, commodity, foreign currency, interest rate, credit instrument, or market index. Derivatives allow investors and firms to transfer risk, obtain synthetic exposure, improve market access, and design cash-flow profiles that cannot be created easily with conventional securities.

Their usefulness, however, is inseparable from their risks. Derivatives can magnify gains and losses through leverage, create liquidity and collateral demands, and expose parties to counterparty, model, legal, and operational risks. Effective investment analysis therefore requires both payoff analysis and institutional risk management.

This chapter examines forwards, futures, options, and swaps; explains their valuation principles and sensitivities; and applies them to hedging, speculation, arbitrage, and portfolio overlays.

Learning objectives

After studying this chapter, the learner should be able to:

  1. Distinguish forwards, futures, options, and swaps by contractual design and risk profile.
  2. Construct and interpret derivative payoff diagrams and profit functions.
  3. Explain no-arbitrage valuation and the principal assumptions of option-pricing models.
  4. Interpret option Greeks and use them in portfolio risk management.
  5. Select derivatives for hedging, speculation, arbitrage, and tactical portfolio overlays.
  6. Evaluate leverage, margin, collateral, liquidity, counterparty, model, and governance risks.

1. The economic role of derivatives

A derivative separates exposure to an economic variable from ownership of the underlying asset. A producer can lock in a commodity price without selling its inventory today; an international investor can hedge currency risk without liquidating foreign securities; and a portfolio manager can reduce equity beta temporarily without selling a long-term portfolio.

Derivative positions are commonly classified as:

  • Hedging: reducing the variability of an existing exposure.
  • Speculation: accepting risk to benefit from an expected price, volatility, or correlation change.
  • Arbitrage: seeking a theoretically riskless profit from inconsistent prices, subject to transaction costs and execution risk.
  • Income or exposure overlays: modifying a portfolio’s return distribution without fully changing its cash portfolio.

A derivative may be exchange-traded or over-the-counter (OTC). Exchange-traded contracts are standardized and generally supported by a clearing house. OTC contracts are customizable but require stronger documentation, collateral, and counterparty-risk controls.

2. Forwards and futures

2.1 Forward contracts

A forward is a private agreement to buy or sell an underlying asset at a specified future date for a price agreed today. A long forward agrees to buy; a short forward agrees to sell. At initiation, the contract normally has approximately zero value when the delivery price is set at the fair forward price.

For a non-income-producing asset, the no-arbitrage forward price is:

F₀,T = S₀(1 + r)T

where F0,T is the forward price agreed today for delivery at time T, S₀ is the current spot price, r is the annual effective risk-free rate, and T is time in years. This expression assumes known financing, no storage or convenience yield, no transaction costs, and the ability to borrow and lend at the stated rate.

With continuous compounding:

F₀,T = S₀erT

If the asset provides a known continuous income yield q, such as a dividend yield, the relationship becomes:

F₀,T = S₀e(r − q)T

For commodities, storage costs and convenience yield may be incorporated as financing-equivalent adjustments. The general economic principle is cash-and-carry arbitrage: buy the asset, finance it, hold it until delivery, and deliver it into the forward contract.

At maturity, the payoff to a long forward with delivery price K is:

Πlong = ST − K

The short-forward payoff is:

Πshort = K − ST

where ST is the spot price at maturity. These are payoffs before considering the initial value, transaction costs, taxes, and interim cash flows.

2.2 Futures contracts

A futures contract resembles a forward but is standardized, exchange-traded, and marked to market daily. Gains and losses are settled through the margin account rather than waiting until maturity. The clearing house becomes the buyer to every seller and seller to every buyer, reducing direct bilateral counterparty exposure.

The investor deposits initial margin and must maintain maintenance margin. If the account falls below the maintenance level, a margin call requires additional funds. Futures therefore involve liquidity risk even when the eventual hedge is economically sound.

The futures price is closely related to the forward price, but it may differ when interest rates are stochastic and correlated with the underlying price because daily settlement changes the timing of cash flows. In practice, the difference is often small for short maturities but should not be ignored in precise valuation.

2.3 Worked example: futures hedge

An airline expects to purchase 1,000,000 litres of jet fuel in three months. It fears prices will rise. Each futures contract represents 50,000 litres, so the hedge requires:

Number of contracts = 1,000,000 ÷ 50,000 = 20

The airline buys 20 futures contracts. If the fuel price rises by 0.08 per litre, the physical purchase costs an additional:

1,000,000 × 0.08 = 80,000

The futures position gains approximately the same amount if the futures price changes by 0.08 per litre:

20 × 50,000 × 0.08 = 80,000

The price increase is therefore substantially offset. The hedge is not perfect because the spot and futures prices may not move identically, contract maturity may differ from the purchase date, and the relevant fuel grade may differ from the contract grade. This residual uncertainty is basis risk.

3. Options and asymmetric payoffs

An option gives its buyer a right, but not an obligation. A call gives the right to buy at the strike price; a put gives the right to sell. The option buyer pays a premium to the seller, or writer, who assumes the corresponding obligation.

At expiration, a long call payoff is:

Πcall = max(ST − K, 0)

A long put payoff is:

Πput = max(K − ST, 0)

Profit subtracts the premium. If the call premium is C₀ and the put premium is P₀, then:

Profitcall = max(ST − K, 0) − C₀
Profitput = max(K − ST, 0) − P₀

The buyer’s maximum loss is the premium paid. The writer’s potential loss can be very large: theoretically unlimited for an uncovered call and substantial for an uncovered put.

At expiration, the call break-even price is K + C₀, while the put break-even price is K − P₀. These statements assume a single option, no transaction costs, and premiums expressed per unit of underlying.

PositionMarket viewMaximum lossTypical economic use
Long callBullishPremiumUpside exposure with limited loss
Short callNeutral to bearishPotentially unlimited if uncoveredIncome or covered-call strategy
Long putBearish or protectivePremiumDownside insurance
Short putNeutral to bullishLarge downside exposureIncome or purchase obligation

3.1 Payoff combinations

A protective put combines a long asset with a long put. It preserves upside participation while establishing a minimum effective sale value, before the premium. A covered call combines a long asset with a short call. It earns premium income but gives up upside above the strike.

A collar combines a long asset, a long put, and a short call. The short-call premium partly finances the put, creating a bounded downside and capped upside. A straddle buys a call and put with the same strike and maturity, expressing a view that volatility will be high without specifying direction. A strangle uses different strikes and generally costs less, but requires a larger price movement to become profitable.

4. Valuation principles

4.1 Present value and no-arbitrage

The value of a derivative is the present value of its expected contractual cash flows under an appropriate pricing framework. For risk-neutral valuation, expected payoffs are discounted at the risk-free rate under a risk-neutral probability measure, not necessarily under investors’ real-world probability beliefs.

For a known cash flow XT at time T, its present value under continuous compounding is:

PV = XTe-rT

The discount rate r and time T must use consistent compounding and units.

4.2 Put–call parity

For European options on a non-dividend-paying asset:

C₀ − P₀ = S₀ − Ke-rT

where C₀ and P₀ are call and put prices, S₀ is the spot price, K is the strike, r is the continuously compounded risk-free rate, and T is time to expiration. The relationship assumes identical strike and maturity, European exercise, no arbitrage, frictionless markets, and no dividends.

With a known continuous dividend yield q:

C₀ − P₀ = S₀e-qT − Ke-rT

If observed prices violate parity beyond transaction costs and funding differences, a conversion or reversal strategy may offer an arbitrage opportunity. In practice, execution costs, bid–ask spreads, short-sale constraints, taxes, and funding availability determine whether the apparent mispricing is exploitable.

4.3 Binomial option model

A one-period binomial model assumes the underlying can move from S₀ to either S₀u or S₀d. The risk-neutral up probability is:

p = (erΔt − d) ÷ (u − d)

where u and d are up and down multipliers, Δt is the period length, and the no-arbitrage condition requires d < erΔt < u. For a call with terminal payoffs Cu and Cd, its value is:

C₀ = e-rΔt[pCu + (1 − p)Cd]

The model is useful because it shows how replication and risk-neutral valuation work. Multiple-period trees can value American options by comparing immediate exercise value with continuation value at each node.

4.4 Black–Scholes–Merton framework

For a European call on a non-dividend-paying asset:

C₀ = S₀N(d₁) − Ke-rTN(d₂)

For the corresponding put:

P₀ = Ke-rTN(−d₂) − S₀N(−d₁)

where:

d₁ = [ln(S₀ ÷ K) + (r + σ² ÷ 2)T] ÷ (σ√T)
d₂ = d₁ − σ√T

Here N(·) is the cumulative standard normal distribution function, σ is annualized volatility, and other symbols retain their earlier meanings. The standard model assumes a lognormal underlying price, constant volatility and interest rate, continuous trading, no taxes or transaction costs, unrestricted short selling, and European exercise. Real markets violate several assumptions; therefore, implied volatility and model risk are central to professional option analysis.

For a continuous dividend yield, the call formula becomes:

C₀ = S₀e-qTN(d₁) − Ke-rTN(d₂)

with d₁ = [ln(S₀ ÷ K) + (r − q + σ² ÷ 2)T] ÷ (σ√T) and the same d₂.

5. Option Greeks and risk measurement

Greeks measure the sensitivity of an option’s value to specified risk factors. They are local approximations, not guarantees of actual profit or loss.

GreekMeaningMain management use
DeltaChange in option value for a one-unit change in the underlyingDirectional and hedge-ratio management
GammaChange in delta for a one-unit change in the underlyingConvexity and rebalancing risk
VegaChange in value for a one-percentage-point change in volatilityVolatility exposure
ThetaChange in value as time passes, holding other variables constantTime decay and carry
RhoChange in value for a one-percentage-point change in interest rateRate sensitivity

For a European call on a non-dividend-paying asset, delta is N(d₁). For a corresponding put, delta is N(d₁) − 1. A long call has positive gamma and vega; a long put also has positive gamma and vega. Long options generally have negative theta because time value decays, although the exact exposure depends on conditions.

For a small change, a portfolio’s approximate profit and loss can be represented as:

∆V ≈ Delta∆S + ½Gamma(∆S)² + Vega∆σ + Theta∆t + Rho∆r

The notation ∆V is change in portfolio value, ∆S is change in underlying price, ∆σ is change in volatility, ∆t is passage of time, and ∆r is change in interest rate. Vega and rho must be interpreted using the institution’s convention, commonly per one percentage-point change. The approximation becomes less reliable for large market movements or discontinuous price changes.

A delta-neutral portfolio has net delta approximately zero. It may still be exposed to gamma, vega, theta, jumps, liquidity, and basis risk. Delta hedging must therefore be rebalanced, creating transaction costs and potentially adverse trading effects. A gamma-positive position benefits from large moves, while a gamma-negative position can suffer from them even when the underlying finishes near its initial level.

6. Swaps

A swap is an agreement to exchange cash flows according to specified rules. The most common forms are interest-rate, currency, commodity, and credit-default swaps.

6.1 Interest-rate swaps

In a plain-vanilla interest-rate swap, one party pays a fixed rate and receives a floating rate on a notional principal; the other party does the reverse. The notional is usually not exchanged. Payments are netted periodically.

The value of a swap can be viewed as the value of the received leg minus the value of the paid leg. For a fixed-rate payer, the fair fixed swap rate is the rate that makes the initial value of the swap approximately zero. A simplified par-rate expression is:

Kswap = [1 − DFn] ÷ [∆t∑i=1n DFi]

where DFi is the discount factor to payment date i, ∆t is the accrual fraction, and DFn is the final discount factor. This form assumes a single-curve framework and regular payment dates; modern collateralized valuation often uses multiple curves and an overnight-indexed discount curve.

A borrower with floating-rate debt may pay fixed and receive floating in a swap. The floating receipt offsets the floating debt cost, leaving an economically fixed interest burden. A firm expecting rates to fall may instead retain or obtain floating exposure.

6.2 Currency swaps and credit-default swaps

A currency swap exchanges principal and interest payments in different currencies. It can hedge foreign-currency funding or create synthetic foreign borrowing. Currency swaps involve exchange-rate risk, interest-rate risk, settlement risk, and sometimes principal exchanges at both inception and maturity.

A credit-default swap (CDS) transfers credit risk. The protection buyer pays a periodic premium, or spread, and receives compensation if a defined credit event occurs. The protection seller assumes default and recovery risk. CDS pricing depends on default probabilities, recovery assumptions, discount rates, liquidity, and legal definitions of credit events.

7. Hedging, speculation, and arbitrage applications

7.1 Hedge design

A robust hedge begins with exposure identification rather than instrument selection. The manager should specify the risk factor, exposure amount, hedge horizon, acceptable residual risk, cash-flow timing, and accounting objective. The hedge ratio may be based on notional matching, duration, beta, or minimum-variance analysis.

For a stock-index futures hedge, a commonly used contract estimate is:

N = βPVP ÷ (F₀Q)

where N is the number of contracts, βP is portfolio beta relative to the index, VP is portfolio market value, F₀ is futures price, and Q is the contract multiplier. A short futures position is used to reduce equity exposure. The formula assumes the futures underlying is an appropriate proxy and that beta is stable over the hedge horizon.

For interest-rate portfolios, duration matching is often more relevant than notional matching. The approximate price change of a bond portfolio is:

∆P ≈ −DmodP∆y

where Dmod is modified duration, P is current price or portfolio value, and ∆y is the yield change in decimal form. A hedge should match both duration and, when material, key-rate exposures across the yield curve.

7.2 Speculation

Derivatives permit leveraged views on direction, volatility, correlation, basis, and relative value. A call expresses bullish exposure with limited downside, while a futures position provides nearly linear exposure but can generate immediate margin demands. A long straddle expresses a view that realized movement will exceed the option premium’s implied volatility cost. Speculation should be assessed using stress tests, not only expected return, because leverage creates nonlinear loss distributions.

7.3 Arbitrage and relative value

Arbitrage links derivative prices to underlying prices and financing markets. Examples include cash-and-carry trades, reverse cash-and-carry trades, put–call parity trades, and futures-versus-spot basis trades. In real markets, apparent arbitrage may be consumed by funding constraints, short-sale costs, margin requirements, taxes, execution latency, and model uncertainty. Professional arbitrage is therefore usually “risk-controlled relative value” rather than perfectly riskless profit.

8. Derivative overlays in portfolio management

A derivative overlay modifies an existing portfolio while preserving its core holdings. Common overlays include:

  • reducing equity beta with short index futures;
  • obtaining temporary equity exposure with futures rather than immediate cash investment;
  • protecting a portfolio with index puts;
  • generating income through covered calls;
  • managing currency exposure with forwards;
  • adjusting duration with interest-rate futures or swaps;
  • controlling commodity input costs with futures and options.

The overlay must be integrated with the cash portfolio. A manager should calculate total exposure, including embedded leverage, option delta, stress losses, collateral needs, and liquidity under adverse conditions. A hedge that appears effective on a delta basis may fail when volatility, correlation, or basis changes sharply.

9. Risk, governance, and regulation

Derivative risk extends beyond market direction.

Leverage risk arises because a small initial margin or premium controls a larger notional exposure. Losses should be evaluated relative to total economic exposure, not merely cash posted.

Counterparty risk is the possibility that an OTC party fails to perform. Controls include credit limits, netting agreements, collateral, variation margin, initial margin, central clearing, and legal documentation such as the International Swaps and Derivatives Association master agreement.

Liquidity risk includes wide bid–ask spreads, inability to close a position, market impact, and inability to meet margin calls. Liquidity should be tested under stressed, not normal, conditions.

Model risk arises when pricing assumptions, volatility surfaces, correlations, recovery rates, or discount curves are inappropriate. Independent price verification, model validation, back-testing, and conservative reserves are essential.

Basis risk occurs when the hedging instrument and exposure do not move together. Operational risk includes confirmation errors, settlement failures, incorrect trade capture, and collateral-processing failures. Legal risk concerns enforceability, close-out netting, and definitions of default or termination.

Regulatory requirements vary by jurisdiction but commonly emphasize reporting, clearing, margin, capital, trade documentation, suitability, and conduct. Governance should include authorized instruments, position limits, segregation of duties, independent valuation, escalation rules, and board-level oversight. Derivatives should never be approved solely because they reduce accounting volatility or require little initial cash.

10. Illustrative case: protecting an international equity portfolio

Background

A fund holds a diversified foreign equity portfolio worth €50 million. Its benchmark has a beta of 0.95 relative to a liquid equity-index futures contract. The investment committee expects a three-month market correction but does not want to sell the underlying shares because of tax and transaction considerations.

Problem

The fund must reduce market exposure temporarily while retaining dividend and long-term ownership benefits. It also has euro reporting currency, while the futures contract is denominated in U.S. dollars.

Analysis

The required futures notional is approximately:

βPVP = 0.95 × €50,000,000 = €47,500,000

If each futures contract represents €250,000 of index exposure, the estimated number of short contracts is:

N = €47,500,000 ÷ €250,000 = 190

The hedge is an estimate, not a guarantee. The portfolio’s beta may change, the index may not match the portfolio, and the currency denomination introduces an additional basis. Daily variation margin may require euro liquidity even if the economic hedge performs as intended.

Approach and outcome

The fund sells 190 futures contracts, establishes a collateral reserve, and specifies weekly monitoring of beta, basis, currency exposure, and margin. It also defines a trigger for reducing the hedge if the portfolio’s active risk becomes dominant. If the index falls by 6% and the portfolio behaves according to its estimated beta, the portfolio loss attributable to market exposure is approximately:

€50,000,000 × 0.95 × 6% = €2,850,000

The futures gain is designed to offset approximately €2.85 million, before basis, contract rounding, currency, transaction costs, and tracking differences. The hedge is removed when the committee’s market-risk objective changes.

Learning points

  1. Notional hedge ratios must reflect beta or duration, not only portfolio value.
  2. A hedge reduces a targeted risk but can introduce basis, currency, liquidity, and operational risks.
  3. Collateral planning is part of investment planning.
  4. Hedge effectiveness must be measured after implementation, not assumed from trade size.

11. Limitations and contemporary developments

Derivatives cannot eliminate uncertainty; they transform it. A forward may remove price risk while creating counterparty and opportunity-cost risk. An option limits downside but charges a premium and may be sensitive to volatility misestimation. A swap can stabilize cash flows but creates long-dated valuation and credit exposure.

Contemporary markets increasingly use central clearing, electronic execution, standardized collateral processes, real-time risk dashboards, and scenario-based margin systems. Algorithmic execution can improve pricing and hedge rebalancing but may amplify execution and model risk. Artificial intelligence can assist in anomaly detection, volatility forecasting, document review, and collateral optimization; however, opaque models require validation, explainability, data controls, and human oversight. AI should support—not replace—independent risk judgment.

Best practice is to combine sensitivity analysis with historical and hypothetical stress tests. Relevant scenarios include a sharp equity gap, volatility spike, yield-curve twist, currency devaluation, correlation breakdown, counterparty default, exchange closure, and simultaneous margin escalation. The objective is not to predict every event but to determine whether the portfolio can survive adverse conditions without forced liquidation.

Chapter Summary

Derivatives are contracts derived from an underlying asset or risk factor. Forwards and futures provide largely linear exposure; options provide asymmetric exposure; and swaps exchange defined streams of cash flows. Forward pricing follows no-arbitrage relationships involving spot prices, financing, income, storage, and convenience yield. Options are valued through payoff replication, binomial trees, and models such as Black–Scholes–Merton, whose assumptions must be critically assessed.

Greeks translate option values into sensitivities to price, volatility, time, and interest rates. Delta hedging is useful but incomplete because gamma, vega, theta, basis, liquidity, and jump risk remain. Derivatives support hedging, speculation, arbitrage, and portfolio overlays, but leverage can magnify losses and collateral demands. Effective governance requires counterparty limits, margin planning, model validation, legal documentation, independent valuation, stress testing, and clear accountability.

Key Terms

Derivative: A contract whose value depends on an underlying asset, rate, index, or event.

Forward: An OTC agreement to transact an underlying asset at a future date and agreed price.

Futures: A standardized, exchange-traded derivative settled through daily marking to market.

Option: A contract giving the buyer a right, but not an obligation, to buy or sell.

Call: An option granting the right to buy the underlying.

Put: An option granting the right to sell the underlying.

Strike price: The contractual price at which an option may be exercised.

Premium: The price paid by an option buyer.

Swap: An agreement to exchange specified cash flows.

Margin: Funds posted to support a derivative position.

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

Delta: Sensitivity of derivative value to the underlying price.

Gamma: Sensitivity of delta to the underlying price.

Vega: Sensitivity of value to volatility.

Theta: Sensitivity of value to passage of time.

Rho: Sensitivity of value to interest rates.

Counterparty risk: Risk that the other party fails to perform.

Collateral: Assets or cash posted to reduce credit exposure.

Implied volatility: Volatility inferred from an option’s market price.

Overlay: A derivative strategy applied to an existing investment portfolio.

Review Questions

Short Answer Questions

  1. How does a futures contract differ from a forward contract?
  2. Define basis risk and give one example.
  3. What is the economic meaning of option delta?
  4. State two assumptions of the Black–Scholes–Merton model.
  5. Why can a derivative hedge create liquidity risk?

Long Answer Questions

  1. Explain the no-arbitrage approach to forward pricing, including the effects of income and continuous compounding.
  2. Compare the payoff and risk characteristics of calls, puts, forwards, and futures.
  3. Explain put–call parity and discuss why market frictions may prevent practical arbitrage.
  4. Discuss the role of Greeks in managing an options portfolio.
  5. Evaluate the principal market, counterparty, model, operational, and legal risks of OTC swaps.

Analytical / Application Questions

  1. A portfolio worth €40 million has beta 1.10. An index futures contract represents €200,000 of exposure. Estimate the number and direction of contracts required to reduce market beta approximately to zero, and identify three sources of residual risk.
  2. An investor buys a call with strike 100 for a premium of 6. Determine the payoff and profit when the underlying finishes at 92, 100, and 115. Interpret the break-even price.
  3. A firm with floating-rate debt considers paying fixed in an interest-rate swap. Analyse the conditions under which the swap would reduce risk, and explain the consequences if rates fall substantially or the swap counterparty defaults.

Multiple Choice Questions with Answers

Question 1

Which position has a payoff of max(S_T − K, 0) at expiration?

A. Long call

B. Long put

C. Short call

D. Short forward

Correct Answer: A. Long call

Question 2

Under continuous compounding, the forward price for a non-income-producing asset is:

A. S₀e^{(r − q)T}

B. S₀e^{rT}

C. Ke^{-rT}

D. S₀e^{-rT}

Correct Answer: B. S₀e^{rT}

Question 3

Which Greek measures sensitivity to a change in implied volatility?

A. Delta

B. Gamma

C. Vega

D. Rho

Correct Answer: C. Vega

Question 4

A futures position is marked to market primarily because:

A. The underlying is always physically delivered

B. Gains and losses are settled daily

C. The contract has no margin requirement

D. The contract is always OTC

Correct Answer: B. Gains and losses are settled daily

Question 5

For a European option on a non-dividend-paying asset, put–call parity is:

A. C₀ + P₀ = S₀ + Ke^{-rT}

B. C₀ − P₀ = S₀ − Ke^{-rT}

C. C₀ − P₀ = S₀ + Ke^{rT}

D. C₀ + P₀ = S₀ − Ke^{-rT}

Correct Answer: B. C₀ − P₀ = S₀ − Ke^{-rT}

Question 6

An investor buys a call with strike 50 for a premium of 3. The break-even price at expiration is:

A. 47

B. 50

C. 53

D. 150

Correct Answer: C. 53

Question 7

A protective put consists of:

A. Short stock and short put

B. Long stock and long put

C. Long stock and short put

D. Long call and short put

Correct Answer: B. Long stock and long put

Question 8

In a plain-vanilla interest-rate swap, the notional principal is usually:

A. Exchanged daily

B. Exchanged only when rates rise

C. Not exchanged; it is used to calculate payments

D. Paid to the clearing house as premium

Correct Answer: C. Not exchanged; it is used to calculate payments

Question 9

A long option position generally has:

A. Positive gamma and positive vega

B. Negative gamma and negative vega

C. Zero gamma and negative vega

D. Positive theta in every circumstance

Correct Answer: A. Positive gamma and positive vega

Question 10

A portfolio worth €10 million has beta 0.8. Futures contracts each represent €100,000. Approximately how many contracts are required for a full beta hedge?

A. 8 short contracts

B. 80 short contracts

C. 100 long contracts

D. 125 short contracts

Correct Answer: B. 80 short contracts

Investment Analysis & Portfolio Management
Chapter 7 of 15