This document summarizes key concepts in financial derivatives and option pricing. It discusses:
1) Financial markets where buyers and sellers trade financial instruments and assets. Common financial assets include bonds, currencies, commodities and stocks.
2) Financial derivatives, which derive their value from underlying assets, include options, forwards/futures, and swaps. Plain vanilla options include calls, which confer the right to buy an asset, and puts, which confer the right to sell.
3) European options can only be exercised at expiration, while American options can be exercised anytime until expiration. Exotic options have non-standard payoff structures.
4) No-arbitrage pricing implies that the fair price of
This document provides an introduction to risk management and financial derivatives. It discusses the concepts of risk, risk management strategies, and three fundamental types of financial derivatives: forward contracts, futures, and options. The key topics covered are:
1) Risk management uses financial derivatives to hedge against price changes in underlying assets.
2) Forward contracts, futures, and options are described as different types of agreements to buy or sell underlying assets at a future time.
3) Option pricing models are needed to determine the value of options, which depend on the price of the underlying asset. Finding these models is the main subject of the book.
The document discusses properties of stock options, specifically put-call parity. It defines put-call parity as the relationship between the value of a European call option and put option with the same exercise price and date. Put-call parity can be used to identify arbitrage opportunities when it does not hold. The document also examines how put-call parity applies to American options and options on dividend paying stocks. Early exercise of American put options may be optimal unlike American call options.
This document provides an overview of options and their valuation. It defines key terms like calls, puts, exercise price, underlying asset, and premium. It describes the differences between European and American options and possibilities at expiration like in-the-money, out-of-the-money, and at-the-money. The document outlines the payoffs of call and put options at expiration. It also discusses options trading in India, index options, and combinations of options and shares. Finally, it introduces models for option valuation, including the binomial tree approach and the Black-Scholes model.
The document provides an overview of option valuation and pricing models. It discusses intrinsic value, put-call parity, and binomial and Black-Scholes option pricing models. The binomial model uses a tree approach to allow stock prices to move up or down over multiple periods to expiration. The Black-Scholes model provides a closed-form solution and values options based on stock price, strike price, volatility, time to expiration, and risk-free rate. An example applies the Black-Scholes formula to compute prices for a call and put option.
This document discusses factors that affect option pricing and different types of options. The key factors that affect option pricing are the underlying asset price, expected volatility, strike price, time until expiration, interest rates, and dividends. The value of a call option increases when the underlying asset price increases, while the value of a put option decreases. European options can only be exercised at expiration, Bermudan options can be exercised at predefined intervals, and American options can be exercised at any time.
This document provides an overview of various bullish, neutral, and bearish options trading strategies. It begins with a table of contents listing 27 bullish strategies, 25 neutral strategies, and 9 bearish strategies. It then provides a brief introduction to options, defining call options, put options, and describing option duration and moneyness. The document proceeds to explain 15 specific strategies in more detail, including long call, synthetic long call, short put, covered call, long combo, and others. Each strategy section defines the strategy, risks, rewards, construction, and provides an example to illustrate how it works.
This document defines options terminology and provides explanations of key concepts related to options contracts, including:
- An option contract gives the buyer the right, but not the obligation, to buy or sell an underlying asset at a specified price on or before a specified date.
- Key parties are the option buyer/holder and option writer/seller. The writer receives a premium from the buyer in exchange for undertaking the obligation.
- Important terms include the exercise/strike price, premium, expiration/exercise dates, and classifications of options as in, out, or at-the-money.
- The value of an option has two components - intrinsic value and time value - which are influenced by factors like the underlying
This document provides an introduction to risk management and financial derivatives. It discusses the concepts of risk, risk management strategies, and three fundamental types of financial derivatives: forward contracts, futures, and options. The key topics covered are:
1) Risk management uses financial derivatives to hedge against price changes in underlying assets.
2) Forward contracts, futures, and options are described as different types of agreements to buy or sell underlying assets at a future time.
3) Option pricing models are needed to determine the value of options, which depend on the price of the underlying asset. Finding these models is the main subject of the book.
The document discusses properties of stock options, specifically put-call parity. It defines put-call parity as the relationship between the value of a European call option and put option with the same exercise price and date. Put-call parity can be used to identify arbitrage opportunities when it does not hold. The document also examines how put-call parity applies to American options and options on dividend paying stocks. Early exercise of American put options may be optimal unlike American call options.
This document provides an overview of options and their valuation. It defines key terms like calls, puts, exercise price, underlying asset, and premium. It describes the differences between European and American options and possibilities at expiration like in-the-money, out-of-the-money, and at-the-money. The document outlines the payoffs of call and put options at expiration. It also discusses options trading in India, index options, and combinations of options and shares. Finally, it introduces models for option valuation, including the binomial tree approach and the Black-Scholes model.
The document provides an overview of option valuation and pricing models. It discusses intrinsic value, put-call parity, and binomial and Black-Scholes option pricing models. The binomial model uses a tree approach to allow stock prices to move up or down over multiple periods to expiration. The Black-Scholes model provides a closed-form solution and values options based on stock price, strike price, volatility, time to expiration, and risk-free rate. An example applies the Black-Scholes formula to compute prices for a call and put option.
This document discusses factors that affect option pricing and different types of options. The key factors that affect option pricing are the underlying asset price, expected volatility, strike price, time until expiration, interest rates, and dividends. The value of a call option increases when the underlying asset price increases, while the value of a put option decreases. European options can only be exercised at expiration, Bermudan options can be exercised at predefined intervals, and American options can be exercised at any time.
This document provides an overview of various bullish, neutral, and bearish options trading strategies. It begins with a table of contents listing 27 bullish strategies, 25 neutral strategies, and 9 bearish strategies. It then provides a brief introduction to options, defining call options, put options, and describing option duration and moneyness. The document proceeds to explain 15 specific strategies in more detail, including long call, synthetic long call, short put, covered call, long combo, and others. Each strategy section defines the strategy, risks, rewards, construction, and provides an example to illustrate how it works.
This document defines options terminology and provides explanations of key concepts related to options contracts, including:
- An option contract gives the buyer the right, but not the obligation, to buy or sell an underlying asset at a specified price on or before a specified date.
- Key parties are the option buyer/holder and option writer/seller. The writer receives a premium from the buyer in exchange for undertaking the obligation.
- Important terms include the exercise/strike price, premium, expiration/exercise dates, and classifications of options as in, out, or at-the-money.
- The value of an option has two components - intrinsic value and time value - which are influenced by factors like the underlying
This document provides an overview of options strategies. It defines derivatives and describes how they derive value from underlying assets. Common types of derivatives are discussed including futures and options. Basic option positions like calls and puts are explained. Popular options strategies like bull call spreads, bear put spreads, and butterfly spreads are defined and examples are provided to illustrate how the payoffs work. Long straddles and short straddles are also introduced as strategies used when volatility is expected to increase or decrease. Key option terms are defined throughout like premium, strike price, expiration date, and different option types.
This document provides an introduction to options and futures markets. It defines key terms like derivatives, underlying assets, calls, puts, premiums, strikes, expiration dates, and exercise types. Examples are given to illustrate put and call payoffs and profits at different underlying price levels. Common options strategies like bull spreads are also explained. The document covers fundamental options concepts like moneyness, break-even points, and how options values are determined.
The document discusses options contracts, including the key parties (buyer and seller), types of options (calls and puts), how option value is determined, and examples of calculating profit and loss for option buyers and sellers. It also defines important option terms and describes the main types of options - stock options, index options, currency options, and futures options.
OptionWin - Financial portal dedicated to the Indian stock and index options. Largely covers option spread strategies and scans the market for trading opportunities.
This document provides an overview of call and put options, including:
- Call options give the buyer the right to purchase an underlying asset at a specified strike price. Put options give the buyer the right to sell an underlying asset at a specified strike price.
- Options have an expiration date and are used for speculation or hedging. Speculators try to profit from price changes, while hedgers use options to reduce risk.
- The value of an option depends on the value of the underlying asset and volatility. At expiration, call options are worth the maximum of the asset price minus strike price and zero. Put options are worth the maximum of strike price minus asset price and zero.
- Buy
The document discusses key concepts related to options pricing including: the minimum and maximum value of a call option; factors that affect call prices such as exercise price, time to maturity, interest rates, and stock volatility; the difference between American and European style options; and the potential early exercise of American call options on dividend and non-dividend paying stocks.
The objective of this chapter is to present the main ideas related to option theory
within the very simple mathematical framework of discrete-time models. Essentially,
we are exposing the first part of the paper by Harrison and Pliska (1981).
Cox, Ross and Rubinstein's model is detailed at the end of the chapter in the form
of a problem with its solution.
This document provides an overview of options, including definitions, concepts, pricing models, risks, and strategies. It defines options, outlines key terms like premium, strike price, and expiration. It explains pricing models including intrinsic value and factors that affect option prices like underlying price, volatility, and time to expiration. Put-call parity and how options can be used to synthesize other positions are also summarized.
This document provides an introduction to options, including the different types (calls and puts), how they work, key terminology, and factors that influence pricing. An option gives the buyer the right, but not the obligation, to buy or sell an underlying asset at a predetermined price on or before expiration. The buyer pays a premium to the seller for this right. Key terms discussed include strike price, expiration date, and long/short positions. Factors like time to expiration, volatility, and interest rates impact an option's price. The Black-Scholes model is commonly used to price options based on these variables.
The document discusses various types of options strategies that can be used in the stock market. It defines call and put options and provides examples. It also explains covered calls, bull spreads, bear spreads, butterfly spreads, and calendar spreads as options strategies. Bull spreads profit if the underlying stock rises, while bear spreads profit if the stock falls. Butterfly spreads seek limited profit from little price movement. Calendar spreads involve options of the same stock but different expiration months, aiming to profit from time decay of nearer dated options.
The document discusses currency option strategies for speculating on movements in exchange rates. It defines call and put options and describes how an investor named Barry Egan could use them to speculate on the Japanese yen. It then explains a long strangle strategy where Barry buys an out-of-the-money call and put on yen with the same expiration date. The strategy has break-even points above and below which Barry would profit if the yen rate moves, with unlimited upside beyond the break-evens.
The document discusses various options strategies and their payoffs:
- Covered calls involve buying a stock and writing a call on it. This limits upside gains in exchange for receiving the premium to reduce risk.
- Protective puts involve buying a stock and purchasing a put on it. This protects against stock price declines by ensuring a minimum sale price while allowing participation in upside gains.
- Straddles involve buying both a put and call with the same strike price. This bets that the stock will move substantially in either direction.
- Spreads, like vertical spreads, involve buying and selling options of the same type but different strike prices or expiration dates to limit risk and gain from smaller stock movements.
The document discusses options trading compared to stock trading. It explains that options allow for higher returns with less capital than purchasing equivalent shares but have expiration dates. The document defines put and call options and bullish and bearish strategies. It also covers concepts like time erosion, portfolio management, and resources for learning options trading.
The document discusses various financial derivatives including synthetic instruments, options, interest rate derivatives, currency and equity swaps, credit default swaps, and credit derivative trading strategies. It provides formulas for pricing these instruments and outlines how their values are affected by various risk factors.
The document provides an introduction to options pricing, including definitions of options contracts and key models used to determine theoretical option value, such as the Black-Scholes model. It discusses how options give the holder the right to buy or sell the underlying asset at a specified price. Models use known variables like underlying price and implied volatility to calculate theoretical option value over time. The Black-Scholes model, developed in 1973, is one of the most widely used options pricing models.
The value of a forward contract at initiation is zero. Over time, the value depends on the relationship between the forward price and the expected future spot price. Futures prices also converge to the spot price at expiration. Like forwards, futures have value of zero at initiation but are marked to market daily. Factors like storage costs, convenience yields, and interest rates can cause the futures price to be in contango or backwardation relative to the expected future spot price.
Want to understand how options work but don\'t have time to go through books? Read this presentation I prepared with couple of my classmates for a case study in Advanced Finance at AIM
1. A derivative is a financial instrument whose value is based on an underlying asset such as stocks, currencies, commodities, bonds, or market indexes. Examples are futures, forwards, options and swaps.
2. Derivatives play a key role in transferring risk between parties in the economy. They are traded both on exchanges as well as over-the-counter between banks and other institutions.
3. Derivatives are used to hedge risks, speculate, engage in arbitrage, or change the nature of investments without selling and rebuying assets.
The document describes two option strategies: a long combo and a protective call/synthetic long put.
A long combo is a bullish strategy that involves selling an out-of-the-money put and buying an out-of-the-money call on the same stock. This provides upside exposure similar to owning the stock but at a lower cost. Profits are made if the stock rises above the break-even point.
A protective call/synthetic long put involves shorting a stock and buying a call option to hedge against downside risk. If the stock falls, profits are made on the short position. The long call limits losses if the stock rises unexpectedly. This strategy hedges upside movement in the
The document outlines the topics that will be covered in Mario Dell'Era's Quantitative Analysis E-QuanT bootcamp in 2014, including estimation theory, properties of estimators, likelihood functions, Bayesian estimators, nonparametric estimation, mean square error, financial time series, empirical financial laws, returns and volatility estimators such as EWMA, ARMA, ARCH and GARCH, long-run volatility forecasting, term structure, energy markets and market models. Mario Dell'Era is a quantitative risk analyst at IntesaSanpaolo and external professor at Pisa University who will teach the bootcamp.
This document provides an overview of options strategies. It defines derivatives and describes how they derive value from underlying assets. Common types of derivatives are discussed including futures and options. Basic option positions like calls and puts are explained. Popular options strategies like bull call spreads, bear put spreads, and butterfly spreads are defined and examples are provided to illustrate how the payoffs work. Long straddles and short straddles are also introduced as strategies used when volatility is expected to increase or decrease. Key option terms are defined throughout like premium, strike price, expiration date, and different option types.
This document provides an introduction to options and futures markets. It defines key terms like derivatives, underlying assets, calls, puts, premiums, strikes, expiration dates, and exercise types. Examples are given to illustrate put and call payoffs and profits at different underlying price levels. Common options strategies like bull spreads are also explained. The document covers fundamental options concepts like moneyness, break-even points, and how options values are determined.
The document discusses options contracts, including the key parties (buyer and seller), types of options (calls and puts), how option value is determined, and examples of calculating profit and loss for option buyers and sellers. It also defines important option terms and describes the main types of options - stock options, index options, currency options, and futures options.
OptionWin - Financial portal dedicated to the Indian stock and index options. Largely covers option spread strategies and scans the market for trading opportunities.
This document provides an overview of call and put options, including:
- Call options give the buyer the right to purchase an underlying asset at a specified strike price. Put options give the buyer the right to sell an underlying asset at a specified strike price.
- Options have an expiration date and are used for speculation or hedging. Speculators try to profit from price changes, while hedgers use options to reduce risk.
- The value of an option depends on the value of the underlying asset and volatility. At expiration, call options are worth the maximum of the asset price minus strike price and zero. Put options are worth the maximum of strike price minus asset price and zero.
- Buy
The document discusses key concepts related to options pricing including: the minimum and maximum value of a call option; factors that affect call prices such as exercise price, time to maturity, interest rates, and stock volatility; the difference between American and European style options; and the potential early exercise of American call options on dividend and non-dividend paying stocks.
The objective of this chapter is to present the main ideas related to option theory
within the very simple mathematical framework of discrete-time models. Essentially,
we are exposing the first part of the paper by Harrison and Pliska (1981).
Cox, Ross and Rubinstein's model is detailed at the end of the chapter in the form
of a problem with its solution.
This document provides an overview of options, including definitions, concepts, pricing models, risks, and strategies. It defines options, outlines key terms like premium, strike price, and expiration. It explains pricing models including intrinsic value and factors that affect option prices like underlying price, volatility, and time to expiration. Put-call parity and how options can be used to synthesize other positions are also summarized.
This document provides an introduction to options, including the different types (calls and puts), how they work, key terminology, and factors that influence pricing. An option gives the buyer the right, but not the obligation, to buy or sell an underlying asset at a predetermined price on or before expiration. The buyer pays a premium to the seller for this right. Key terms discussed include strike price, expiration date, and long/short positions. Factors like time to expiration, volatility, and interest rates impact an option's price. The Black-Scholes model is commonly used to price options based on these variables.
The document discusses various types of options strategies that can be used in the stock market. It defines call and put options and provides examples. It also explains covered calls, bull spreads, bear spreads, butterfly spreads, and calendar spreads as options strategies. Bull spreads profit if the underlying stock rises, while bear spreads profit if the stock falls. Butterfly spreads seek limited profit from little price movement. Calendar spreads involve options of the same stock but different expiration months, aiming to profit from time decay of nearer dated options.
The document discusses currency option strategies for speculating on movements in exchange rates. It defines call and put options and describes how an investor named Barry Egan could use them to speculate on the Japanese yen. It then explains a long strangle strategy where Barry buys an out-of-the-money call and put on yen with the same expiration date. The strategy has break-even points above and below which Barry would profit if the yen rate moves, with unlimited upside beyond the break-evens.
The document discusses various options strategies and their payoffs:
- Covered calls involve buying a stock and writing a call on it. This limits upside gains in exchange for receiving the premium to reduce risk.
- Protective puts involve buying a stock and purchasing a put on it. This protects against stock price declines by ensuring a minimum sale price while allowing participation in upside gains.
- Straddles involve buying both a put and call with the same strike price. This bets that the stock will move substantially in either direction.
- Spreads, like vertical spreads, involve buying and selling options of the same type but different strike prices or expiration dates to limit risk and gain from smaller stock movements.
The document discusses options trading compared to stock trading. It explains that options allow for higher returns with less capital than purchasing equivalent shares but have expiration dates. The document defines put and call options and bullish and bearish strategies. It also covers concepts like time erosion, portfolio management, and resources for learning options trading.
The document discusses various financial derivatives including synthetic instruments, options, interest rate derivatives, currency and equity swaps, credit default swaps, and credit derivative trading strategies. It provides formulas for pricing these instruments and outlines how their values are affected by various risk factors.
The document provides an introduction to options pricing, including definitions of options contracts and key models used to determine theoretical option value, such as the Black-Scholes model. It discusses how options give the holder the right to buy or sell the underlying asset at a specified price. Models use known variables like underlying price and implied volatility to calculate theoretical option value over time. The Black-Scholes model, developed in 1973, is one of the most widely used options pricing models.
The value of a forward contract at initiation is zero. Over time, the value depends on the relationship between the forward price and the expected future spot price. Futures prices also converge to the spot price at expiration. Like forwards, futures have value of zero at initiation but are marked to market daily. Factors like storage costs, convenience yields, and interest rates can cause the futures price to be in contango or backwardation relative to the expected future spot price.
Want to understand how options work but don\'t have time to go through books? Read this presentation I prepared with couple of my classmates for a case study in Advanced Finance at AIM
1. A derivative is a financial instrument whose value is based on an underlying asset such as stocks, currencies, commodities, bonds, or market indexes. Examples are futures, forwards, options and swaps.
2. Derivatives play a key role in transferring risk between parties in the economy. They are traded both on exchanges as well as over-the-counter between banks and other institutions.
3. Derivatives are used to hedge risks, speculate, engage in arbitrage, or change the nature of investments without selling and rebuying assets.
The document describes two option strategies: a long combo and a protective call/synthetic long put.
A long combo is a bullish strategy that involves selling an out-of-the-money put and buying an out-of-the-money call on the same stock. This provides upside exposure similar to owning the stock but at a lower cost. Profits are made if the stock rises above the break-even point.
A protective call/synthetic long put involves shorting a stock and buying a call option to hedge against downside risk. If the stock falls, profits are made on the short position. The long call limits losses if the stock rises unexpectedly. This strategy hedges upside movement in the
The document outlines the topics that will be covered in Mario Dell'Era's Quantitative Analysis E-QuanT bootcamp in 2014, including estimation theory, properties of estimators, likelihood functions, Bayesian estimators, nonparametric estimation, mean square error, financial time series, empirical financial laws, returns and volatility estimators such as EWMA, ARMA, ARCH and GARCH, long-run volatility forecasting, term structure, energy markets and market models. Mario Dell'Era is a quantitative risk analyst at IntesaSanpaolo and external professor at Pisa University who will teach the bootcamp.
This document summarizes Mario Dell'Era's presentation on finding a closed solution for the Heston PDE using geometrical transformations. It describes the Heston model and the resulting PDE. Existing methods for solving the PDE numerically are outlined. Dell'Era then presents a new methodology using coordinate transformations to solve the PDE, applying three successive transformations to simplify the PDE. This results in an exponential solution for the transformed PDE.
1) Credit risk is the potential that a bank borrower fails to meet their obligations. Capital is provided to cover unexpected losses from default.
2) Basel II uses a standardized approach to estimate capital requirements based on asset categories and their risk weights.
3) Probability of default is estimated using rating migration matrices and is a key input to estimating expected and unexpected losses.
1) The document presents Mario Dell'Era's work on developing a geometrical approximation method for solving partial differential equations related to stochastic volatility market models.
2) The method approximates the payoff function for vanilla options like calls and puts under the Heston model by including a stochastic error term.
3) Numerical experiments show the geometrical approximation method produces option price estimates close to Fourier transform, finite difference, and Monte Carlo methods.
Different analytical and numerical methods are commonly used to solve transient heat conduction problems. In this problem, the use of Alternating Direct Implicit scheme (ADI) was adopted to solve temperature variation within an infinitesimal long bar of a square cross-section. The bottom right quadrant of the square cross-section of the bar was selected. The surface of the bar was maintained at constant temperature and temperature variation within the bar was evaluated within a time frame. The Laplace equation governing the 2-dimesional heat conduction was solved by iterative schemes as a result of the time variation. The modelled problem using COMSOL-MULTIPHYSICS software validated the result of the ADI analysis. On comparing the Modelled results from COMSOL MULTIPHYSICS and the results from ADI iterative scheme graphically, there was an high level of agreement between both results.
The document discusses pricing vanilla options in stochastic volatility market models. It presents the Heston model equations for the stock price and volatility processes. Applying Ito's lemma yields a PDE for option pricing. Several numerical methods are listed to solve this PDE, including Fourier transforms, finite differences, and Monte Carlo methods. The document also presents an approximation method where some PDE terms are set to zero, yielding simple closed-form pricing formulas for European and barrier options under the Heston model.
The comparative study of finite difference method and monte carlo method for ...Alexander Decker
This document compares the finite difference method and Monte Carlo method for pricing European options. The finite difference method solves the Black-Scholes partial differential equation by approximating it on a grid, while the Monte Carlo method simulates asset price paths and averages discounted payoffs. The study finds that while both methods agree with the Black-Scholes price, the finite difference method converges faster and is more accurate for standard European options, whereas Monte Carlo is better suited for exotic options due to its flexibility.
Global Derivatives 2014 - Did Basel put the final nail in the coffin of CSA D...Alexandre Bon
FVA in presence of stochastic funding spreads, Inititial Margins and imperfect collateralisation conditions.
Since the birth of CSA discounting during the GFC, major regulatory changes have been reshaping collateral practices in a way that challenges the fundamental assumptions of the method.
Agenda:
- FVA for economic value & incremental pricing
- FVA via CSA discounting or Exposure simulation
- Funding spreads and exposure co-dependence
- Collateralisation regimes in the New Normal and Initial Margins
This document discusses quantitative finance topics including bond duration and immunization. It provides an example showing how duration and convexity can be used to approximate changes in bond prices from changes in yields. The document also discusses how to construct a bond portfolio with a target duration and convexity. Finally, it briefly defines interest rate swaps, bond options, interest rate caps, and floors.
Repo, Security, Collateral Management –are we on the right track? - Godfried ...László Árvai
The document summarizes key findings from an ICMA study on the potential impacts of introducing mandatory buy-ins under the Central Securities Depositories Regulation (CSDR). The study found that liquidity across European bond and repo markets would significantly decrease, with bid-offer spreads widening dramatically. For less liquid bonds, market makers would withdraw liquidity or stop providing quotes altogether. The repo market would also be significantly affected, with more reliance on short-term repo and withdrawals of liquidity for less liquid bonds. The study estimates the costs of these impacts for bond and repo markets would be substantial.
RiskMinds - Did Basel & IOSCO put the final nail in the coffin of CSA-discoun...Alexandre Bon
FVA in presence of stochastic funding spreads, Inititial Margins and imperfect collateralisation conditions.
Since the birth of CSA discounting during the GFC, major regulatory changes have been reshaping collateral practices in a way that challenges the fundamental assumptions of the method.
Agenda:
- FVA via CSA discounting or Exposure simulation
- Funding spreads and exposure co-dependence
- Collateralisation regimes in the New Normal and Initial Margins
- FVA/MVA for VaR-based IMs and the SBA-M
- FVA for economic value & incremental pricing
Dec2016 - Calculating and Managing Environmental Counterparty RiskJohn Rosengard
This document discusses managing environmental counterparty risk. It begins with an outline of a webinar on the topic, including definitions of counterparty risk and examples. It then provides background on the speaker, John Rosengard, and his experience with environmental risk modeling software. The rest of the document addresses how to identify problematic counterparties, trends in increasing counterparty risk, examples of calculating counterparty risk for individual sites, and guidance from accounting standards on incorporating counterparty risk into liability estimates. It emphasizes the importance of continuously monitoring counterparties due to changing risks over time.
Long horizon simulations for counterparty risk Alexandre Bon
The Challenges of Long Horizon Simulations in the context of Counterparty Risk modeling : CVA, PFE and Regulatory reporting.
This joint presentation reviews the key decisions that need making regarding the choice of risk factor evolution models and calibration methods. In particular, we will analyse the performance of classical historical calibration methods (such as Maximum Likelihood and the Efficient Method of Moments) in estimating the volatility and drift terms of the Hull & White class of Interest Rate models ; both in terms of convergence and stability.
As most methods perform satisfactorily for volatility but disappoint on the mean reversion estimation, we propose a new modified Variance Estimation method that significantly outperform the classical approaches.
Lastly, after reviewing historical economic evidence of mean-reversion dynmics in high interest rate regime, we propose modifying classical models by making mean reversion non-linear and accelerating for high rates - that can be referred as "+R" models.
This model address unrealistically large and persistent interest rates values often observed at high quantile in PFE and CVA simulations.
Solution to Black-Scholes P.D.E. via Finite Difference Methods (MatLab)Fynn McKay
Simple implementable of Numerical Analysis to solve the famous Black-Scholes P.D.E. via Finite Difference Methods for the fair price of a European option.
Options Presentation Introduction to Corporate Financemuratcoskun
This document provides an introduction to corporate finance options, including:
1. A brief history of options and their evolution over time from ancient Greece to modern markets.
2. An overview of the key characteristics of options contracts, including the types of options (calls, puts), how they are valued, and common strategies (bullish, bearish, neutral).
3. Examples of how options work from the perspective of buyers and sellers, including payoffs and breakeven points. Valuation methods like the binomial tree approach are also introduced.
The document discusses derivative markets, including forwards, futures, and options. Forwards are customized contracts to buy or sell an asset at a future date, while futures are standardized contracts traded on exchanges. Options provide the right but not obligation to buy or sell an asset, with call options giving the right to buy and put options the right to sell.
Derivatives are financial instruments whose prices are derived from underlying assets such as stocks, interest rates, or commodities. There are several types of derivatives including options, futures, forwards, and swaps. Options give the holder the right but not the obligation to buy or sell the underlying asset. Futures and forwards are agreements to buy or sell an asset at a future date for a predetermined price. Swaps involve exchanging periodic payments between two parties based on interest rates, currencies, or other financial metrics. Derivatives can be used for hedging risk, speculation, and arbitrage opportunities.
The document provides an introduction to corporate finance options, including:
- A brief history of options and their use in ancient Greece.
- Current options markets and regulators.
- Key terminology related to options contracts.
- The main types of options - calls and puts.
- Common valuation methods and strategies for options positions, including bullish, bearish, and neutral strategies.
This document discusses numerical methods for valuing American put options. It begins with background on vanilla and exotic options, then covers American options and the optimal exercise boundary problem. Three numerical methods for valuing American put options are examined: binomial methods, finite difference methods, and Monte Carlo methods. The document compares the three methods and discusses areas for further research.
1. The document provides an introduction to options, covering key concepts like call and put options, exercise price, premium, and payoffs for option holders and writers.
2. Key option features discussed include the right to buy/sell the underlying asset, expiration date, American vs. European style, and calculating profit/loss at expiration.
3. Examples are provided to illustrate payoffs and profits for long and short positions in call and put options when the underlying stock price is above, below, or at the exercise price.
1) The document discusses how the Black-Scholes-Merton model was used to hedge a European call option on Ameriprise Financial stock from September 2015.
2) Key formulas are presented for calculating stock volatility, call price, and delta in order to construct a hedging portfolio to offset changes in the option value.
3) By continuously adjusting the hedging portfolio, the analysis shows that the stock seller was able to generate a small profit of $0.61 compared to a potential loss of $9.93 without hedging, demonstrating the effectiveness of the Black-Scholes hedging strategy.
This document provides an overview of options markets and mechanics. It defines key terms like calls, puts, strikes, and expirations. It describes the four main strategies for options positions based on an outlook for the underlying's price. The document also discusses the types of underlying assets for options, including stocks, indexes, currencies and futures. It provides details on stock option specifications, expiration months and cycles, strike pricing, and non-standard option products.
The document discusses various types of options contracts, including call and put options. It defines key terms like strike price, expiration date, and parties to an options contract. It also summarizes four approaches to pricing options: price difference approach, expected gains approach, binomial model, and Black-Scholes model. The Black-Scholes model is presented as the most commonly used method to price European call and put options using a formula that considers the spot price, strike price, risk-free interest rate, and time to expiration. Examples are provided to illustrate how to apply the different pricing models.
Derivatives are financial instruments whose value is dependent on an underlying asset such as a commodity, currency, stock, bond, or market index. Common derivative products include forwards, futures, options, and swaps. Forwards involve a customized over-the-counter agreement to buy or sell an asset in the future at an agreed upon price, while futures trade on an exchange with standardized contracts. Options provide the right but not the obligation to buy or sell the underlying asset at a predetermined strike price by a specified date. The value of derivatives is influenced by factors like the price and volatility of the underlying asset.
The document introduces the binomial option pricing model, which uses a binomial tree to represent the possible paths an underlying asset's price may take over the life of an option. It assumes a risk-neutral world where expected returns are equal to the risk-free rate. The model prices options by constructing hedge portfolios that eliminate risk, with the option price being the value that makes the portfolio worth the same whether the asset price rises or falls. For a single time period, if the asset price can rise by u or fall by d, with hedge ratio h, the option price C is derived as p(1-p)P, where p is (r-d)/(u-d) and P is the payoff function.
Options Pricing The Black-Scholes ModelMore or .docxhallettfaustina
*
Options Pricing: The Black-Scholes ModelMore or less, the Black-Scholes (B-S) Model is really just a fancy extension of the Binomial Model.
(Fancy enough, however, to win a Nobel Prize…).
*
How B-S extends the Binomial Model1. Instead of assuming two possible states for future exchange rates, and thus returns (i.e., “up” and “down”), B-S assumes a continuous distribution of returns, R, so that returns can take on a whole range of values.
Binomial B-S
*
How B-S extends the Binomial ModelIn fact, exchange rate returns are approximately normally distributed, so this is a “reasonable” assumption:
*
How B-S extends the Binomial Model2. Instead of just one time period, B-S assumes multiple time periods and that the time between periods is instantaneous (i.e., continuous).
(See lecture)
Also, the time between periods t=0, t=1, t=2, etc. shrinks to zero, so that spot rate is changing at every instant.
*
How B-S extends the Binomial ModelThis is more realistic, since actual currency trades take place on a second-to-second, nearly continuous basis.
*
How B-S extends the Binomial ModelIt turns out that these two extensions are enough to make the math very hard. Thus, deriving the B-S model is no easy task.
The most important thing to recognize is that despite the above complications, the basic underlying approach of the B-S model remains the same…
*
How B-S extends the Binomial Model3. Create a replicating portfolio and price the option using a no-arbitrage argument.Calculate NS and NB: Now, since these are constantly changing over time, this process is called “dynamic hedging”.Replicating portfolio:It turns out that it is possible to use a combination of foreign currency and USD, and now in addition, options themselves, to form a riskless portfolio (i.e., return is known for sure).No-arbitrage: Riskless portfolios must have the same price as risk-free securities, otherwise arbitrage is possible. Use this fact to figure out c.
*
The Black-Scholes Options Pricing FormulaPutting the above all together, we get the Black-Scholes formula for pricing a European call option on foreign currency:
where
and S, X, T as before
r = domestic risk-free rate, r* = foreign risk-free rate
s = volatility of the foreign currency (sd of returns).
*
The Black-Scholes Options Pricing Formula
Also, N(x) = Prob that a random variable will be less than x under the standard normal distribution (i.e., cumulative distribution function).Calculate in EXCEL using “=NORMSDIST(x)”.
represents discounting when interest rates are continuously compounded, so basically it corresponds to:
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Normal
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The document provides an introduction to financial derivatives, including forwards, futures, options, and swaps. It defines each type of derivative and provides examples. Key points covered include:
- Derivatives derive their price from an underlying asset such as a commodity, currency, bond, or stock.
- Forwards and swaps are over-the-counter (OTC) contracts while futures and options trade on exchanges.
- Common uses of derivatives include hedging risk, speculation, and arbitrage.
- Margin requirements and daily settlement help manage counterparty risk in derivatives markets.
This document provides an overview of currency futures, options, and interest rate swaps. It begins with introductions to derivatives, currency forwards and futures contracts, and currency options. The key differences between futures and forwards are explained. Examples are provided of how currency futures contracts work via daily marking to market and the role of a clearing house. The document also covers the basics of currency options, including put and call options and factors that affect option pricing. Finally, the document uses an example to illustrate how an interest rate swap agreement between a bank and company could save both parties money versus borrowing directly.
This document provides an overview of key concepts from Chapter 1 of an introductory derivatives textbook. It discusses what derivatives are, their common uses for hedging and speculation, and perspectives of different market participants. It also covers financial engineering, the role of financial markets, risk sharing, and how derivatives are used in practice. The chapter introduces forwards and options, including their payoffs and profit/loss profiles for long and short positions. It discusses uses of derivatives for hedging from the perspective of producers and buyers.
This document provides an overview of Chapter 1 of an ACTEX FM DVD on derivatives. It introduces key concepts around derivatives including their uses for risk management, speculation, and reduced transaction costs. It discusses perspectives of end users, market makers, and economic observers. It also covers financial engineering, the role of financial markets, risk sharing, and how derivatives are used in practice.
This document provides an overview of Chapter 1 of an ACTEX FM DVD on derivatives. It introduces key concepts around derivatives including their uses for risk management, speculation, and reduced transaction costs. It discusses perspectives of end users, market makers, and economic observers. It also covers financial engineering, the role of financial markets, risk sharing, and how derivatives are used in practice.
This document provides an overview of chapter 1 and 2 of an introductory derivatives textbook. Chapter 1 defines derivatives and discusses their main uses, perspectives, and role in financial markets. It covers risk sharing, growth of derivatives trading, and how derivatives are used in practice. Chapter 2 introduces forward contracts and options, covering call options, put options, and the payoffs and profits of long and short forward and option positions. It also discusses moneyness, options as insurance, and financial engineering examples.
The document discusses binomial pricing models for pricing American options. It introduces a binomial model where the underlying asset price can move up or down between time periods. It shows how to price a European call option in this framework by constructing a replicating portfolio. The price of the option is set so that this portfolio replicates the payoffs. It then extends this to multiple time periods and discusses how to price early exercise features of American options.
[4:55 p.m.] Bryan Oates
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Confirmation of Payee was built to tackle the increasing numbers of APP Fraud and in the landscape of UK banking, the spectre of APP fraud looms large. In 2022, over £1.2 billion was stolen by fraudsters through authorised and unauthorised fraud, equivalent to more than £2,300 every minute. This statistic emphasises the urgent need for robust security measures like CoP. While over £1.2 billion was stolen through fraud in 2022, there was an eight per cent reduction compared to 2021 which highlights the positive outcomes obtained from the implementation of Confirmation of Payee. The number of fraud cases across the UK also decreased by four per cent to nearly three million cases during the same period; latest statistics from UK Finance.
In essence, Confirmation of Payee plays a pivotal role in digital banking, guaranteeing the flawless execution of banking transactions. It stands as a guardian against fraud and misallocation, demonstrating the commitment of financial institutions to safeguard their clients’ assets. The next time you engage in a banking transaction, remember the invaluable role of CoP in ensuring the security of your financial interests.
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Madhya Pradesh, the "Heart of India," boasts a rich tapestry of culture and heritage, from ancient dynasties to modern developments. Explore its land records, historical landmarks, and vibrant traditions. From agricultural expanses to urban growth, Madhya Pradesh offers a unique blend of the ancient and modern.
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"Does Foreign Direct Investment Negatively Affect Preservation of Culture in the Global South? Case Studies in Thailand and Cambodia."
Do elements of globalization, such as Foreign Direct Investment (FDI), negatively affect the ability of countries in the Global South to preserve their culture? This research aims to answer this question by employing a cross-sectional comparative case study analysis utilizing methods of difference. Thailand and Cambodia are compared as they are in the same region and have a similar culture. The metric of difference between Thailand and Cambodia is their ability to preserve their culture. This ability is operationalized by their respective attitudes towards FDI; Thailand imposes stringent regulations and limitations on FDI while Cambodia does not hesitate to accept most FDI and imposes fewer limitations. The evidence from this study suggests that FDI from globally influential countries with high gross domestic products (GDPs) (e.g. China, U.S.) challenges the ability of countries with lower GDPs (e.g. Cambodia) to protect their culture. Furthermore, the ability, or lack thereof, of the receiving countries to protect their culture is amplified by the existence and implementation of restrictive FDI policies imposed by their governments.
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1. University of Houston/Department of Mathematics
Dr. Ronald H.W. Hoppe
Numerical Methods for Option Pricing in Finance
Chapter 1: Financial Markets and Financial Derivatives
1.1 Financial Markets
Financial markets are markets for financial instruments, in which buyers and sellers find each
other and create or exchange financial assets.
• Financial instruments
A financial instrument is a real or virtual document having legal force and embodying or con-
veying monetary value.
• Financial assets
A financial asset is an asset whose value does not arise from its physical embodiment but from
a contractual relationship.
Typical financial assets are bonds, commodities, currencies, and stocks.
Financial markets may be categorized as either money markets or capital markets.
Money markets deal in short term debt instruments whereas capital markets trade in long
term dept and equity instruments.
2. University of Houston/Department of Mathematics
Dr. Ronald H.W. Hoppe
Numerical Methods for Option Pricing in Finance
1.2 Financial Derivatives
A financial derivative is a contract between individuals or institutions whose value at the
maturity date (or expiry date) T is uniquely determined by the value of an underlying
asset (or assets) at time T or until time T.
We distinguish three classes of financial derivatives:
(i) Options
Options are contracts that give the holder the right (but not the obligation) to exercise
a certain transaction on the maturity date T or until the maturity date T at a fixed
price K, the so-called exercise price (or strike).
(ii) Forwards and Futures
A forward is an obligatory contract to buy or sell an asset on the maturity date T at a
fixed price K. A future is a standardized forward whose value is computed on a daily basis.
(iii) Swaps
A swap is a contract to exercise certain financial transactions at fixed time instants accor-
ding to a prescribed formula.
3. University of Houston/Department of Mathematics
Dr. Ronald H.W. Hoppe
Numerical Methods for Option Pricing in Finance
1.3 Options
The basic options are the so-called plain-vanilla options.
We distinguish between the right to buy or sell assets:
• Call or call-options
A call (or a call-option) is a contract between a holder (the buyer) and a writer (the seller)
which gives the holder the right to buy a financial asset from the writer on or until the
maturity date T at a fixed strike price K.
• Put or put-option
A put (or a put-option) is a contract between a holder (the seller) and a writer (the buyer)
which gives the holder the right to sell a financial asset to the writer on or until the
maturity date T at a fixed strike price K.
4. University of Houston/Department of Mathematics
Dr. Ronald H.W. Hoppe
Numerical Methods for Option Pricing in Finance
1.4 European and American Options, Exotic Options
• European options
A European call-option (put-option) is a contract under the following condition:
On the maturity date T the holder has the right to buy from the writer (sell to the writer)
a financial asset at a fixed strike price K.
• American options
An American call-option (put-option) is a contract under the following condition:
The holder has the right to buy from the writer (sell to the writer) a financial asset until
the maturity date T at a fixed strike price K.
• Exotic options
The European and American options are called standard options. All other (non-standard)
options are referred to as exotic options. The main difference between standard and non-
-standard options is in the payoff.
5. University of Houston/Department of Mathematics
Dr. Ronald H.W. Hoppe
Numerical Methods for Option Pricing in Finance
1.5 European Options: Payoff Function
Since an option gives the holder a right, it has a value which is called the option price.
• Call-option
We denote by Ct = C(t) the value of a call-option at time t and by St = S(T) the value of the
financial asset at time t. We distinguish two cases:
(i) At the maturity date T, the value ST of the asset is higher than the strike price K. The
call-option is then exercised, i.e., the holder buys the asset at price K and immediately sells it
at price ST. The holder realizes the profit V(ST,T) = CT = ST − K.
(ii) At the maturity date T, the value ST of the asset is less than or equal to the strike price.
In this case, the holder does not exercise the call-option, i.e., the option expires worthless with
with V(ST,T) = CT = 0.
In summary, at the maturity date T the value of the call is given by the payoff function
V(ST,T) = (ST − K)+
:= max{ST − K,0} .
6. University of Houston/Department of Mathematics
Dr. Ronald H.W. Hoppe
Numerical Methods for Option Pricing in Finance
• Put-option
We denote by Pt = P(t) the value of a put-option at time t and by St = S(T) the value of the
financial asset at time t. We distinguish the cases:
(i) At the maturity date T, the value ST of the asset is less than the strike price K. The
put-option is then exercised, i.e., the holder buys the asset for the market price ST and sells
it to the writer at price K. The holder realizes the profit V(ST,T) = PT = K − ST.
(ii) At the maturity date T, the value ST of the asset is greater than or equal to the strike price.
In this case, the holder does not exercise the put-option, i.e., the option expires worthless with
with V(ST,T) = PT = 0.
In summary, at the maturity date T the value of the put is given by the payoff function
V(ST,T) = (K − ST)+
:= max{K − ST,0} .
7. University of Houston/Department of Mathematics
Dr. Ronald H.W. Hoppe
Numerical Methods for Option Pricing in Finance
Payoff Function of a European Call and a European Put
S
V
K
S
V
K
K
European Call European Put
8. University of Houston/Department of Mathematics
Dr. Ronald H.W. Hoppe
Numerical Methods for Option Pricing in Finance
Example: Call-options
A company A wants to purchase 20,000 stocks of another company B in six months from
now. Assume that at present time t = 0 the value of a stock of company B is S0 = 90$.
The company A does not want to spend more than 90$ per stock and buys 200 call-options
with the specifications
K = 90 , T = 6 , C0 = 500 ,
where each option gives the right to purchase 100 stocks of company B at a price of 90$ per
stock.
If the price of the stock on maturity date T = 6 is ST > 90$, company A will exercise the option
and spend 1,8 Mio $ for the stocks and 200 · C0 = 100,000 $ for the options.
Company A has thus insured its purchase against the volatility of the stock market.
On the other hand, company A could have used the options to realize a profit. For instance,
if on maturity date T = 6 the market price is ST = 97$, the company could buy the 200,000
stocks at a price of 1,8 Mio $ and immediately sell them at a price of 97$ per stock which
makes a profit of 7 × 20,000 − 100,000 = 40,000$.
However, if ST < 90$, the options expire worthless, and A realizes a loss of 100,000$.
9. University of Houston/Department of Mathematics
Dr. Ronald H.W. Hoppe
Numerical Methods for Option Pricing in Finance
Example: Arbitrage
Consider a financial market with three different financial assets: a bond, a stock, and a
call-option with K = 100 and maturity date T. We recall that a bond B with value Bt =
= B(t) is a risk-free asset which is paid for at time t = 0 and results in BT = B0 + iRB0,
where iR is a fixed interest rate. At time t = 0, we assume B0 = 100,S0 = 100 and C0 = 10.
We further assume iR = 0.1 and that at T the market attains one of the two possible states
’high’ BT = 110 , ST = 120 ,
’low’ BT = 110 , ST = 80 .
A clever investor chooses a portfolio as follows: He buys 2
5 of the bond and 1 call-option and
sells 1
2 stock. Hence, at time t = 0 the portfolio has the value
π0 =
2
5
· 100 + 1 · 10 −
1
2
· 100 = 0 ,
i.e., no costs occur for the investor. On maturity date T, we have
’high’ πT =
2
5
· 110 + 1 · 20 −
1
2
· 120 = 4 ,
’low’ πT =
2
5
· 110 + 1 · 0 −
1
2
· 80 = 4 .
Since for both possible states the portfolio has the value 4, the investor could sell it at time
t = 0 and realize an immediate, risk-free profit called arbitrage.
10. University of Houston/Department of Mathematics
Dr. Ronald H.W. Hoppe
Numerical Methods for Option Pricing in Finance
Example: No-Arbitrage (Duplication Strategy)
The reason for the arbitrage in the previous example is due to the fact that the price for the
call-option is too low. Therefore, the question comes up:
What is an appropriate price for the call to exclude arbitrage?
We have to assume that a portfolio consisting of a bond Bt and a stock St has the same
value as the call-option, i.e., that there exist numbers c1 > 0,c2 > 0 such that at t = T:
c1 · BT + c2 · ST = C(ST,T) .
Hence, the ’fair’ price for the call-option is given by
p = c1 · B0 + c2 · S0 .
Recalling the previous example, at time t = T we have
’high’ c1 · 110 + c2120 = 20 ,
’low’ c1 · 110 + c2 · 80 = 0 .
The solution of this linear system is c1 = − 4
11,c2 = 1
2. Consequently, the fair price is
p = −
4
11
· 100 +
1
2
· 100 =
300
22
≈ 13.64 .
11. University of Houston/Department of Mathematics
Dr. Ronald H.W. Hoppe
Numerical Methods for Option Pricing in Finance
1.6 No-Arbitrage and Put-Call Parity
We consider a financial market under the following assumptions:
• There is no-arbitrage.
• There is no dividend on the basic asset.
• There is a fixed interest rate r > 0 for bonds/credits with
proportional yield.
• The market is liquid and trade is possible any time.
12. University of Houston/Department of Mathematics
Dr. Ronald H.W. Hoppe
Numerical Methods for Option Pricing in Finance
Reminder: Interest with Proportional Yield
At time t = 0 we invest the amount of K0 in a bond with interest rate r > 0 and proportional
yield, i.e., at time t = T the value of the bond is
K = K0 exp(rT) .
In other words, in order to obtain the amount K at time t = T we must invest
K0 = K exp(−rT) .
This is called discounting.
13. University of Houston/Department of Mathematics
Dr. Ronald H.W. Hoppe
Numerical Methods for Option Pricing in Finance
Theorem 1.1 Put-Call Parity
Let K,St,PE(St,t) and CE(St,t) be the values of a bond (with interest rate r > 0 and propor-
tional yield), an asset, a European put, and a European call. Under the previous assumptions,
for 0 ≤ t ≤ T there holds
πt := St + PE(St,t) − CE(St,t) = K exp(−r(T − t)) .
Proof. First, assume πt < K exp(−r(T − t)). Buy the portfolio, take the credit K exp(−r(T − t)
(or sell corresponding bonds) and save the amount K exp(−r(T − t) − πt > 0.
On maturity date T, the portfolio has the value πT = K which is given to the bank for the cre-
dit. This means that at time t a risk-free profit K exp(−r(T − t) − πt > 0 has been realized con-
tradicting the no-arbitrage principle.
Now, assume πt > K exp(−r(T − t)). Sell the portfolio (i.e., sell the asset and the put and buy
a call), invest K exp(−r(T − t) in a risk-free bond and save πt − K exp(−r(T − t)) > 0. On matu-
rity date T, get K from the bank and buy the portfolio at price πT = K. This means a risk-free
profit πt − K exp(−r(T − t)) > 0 contradicting the no-arbitrage principle.
14. University of Houston/Department of Mathematics
Dr. Ronald H.W. Hoppe
Numerical Methods for Option Pricing in Finance
Arbitrage Table for the Proof of Theorem 1.1
The proof of the put-call parity can be illustrated by the following arbitrage tables
Portfolio Cash Flow Value Portfolio at t Value Portfolio at T
ST ≤ K ST > K
Buy St −St St ST ST
Buy PE(St,t) −PE(St,t) PE(St,t) K − ST 0
Sell CE(St,t) CE(St,t) −CE(St,t) 0 −(ST − K)
Credit K exp(−r(T − t)) K exp(−r(T − t)) −K exp(−r(T − t)) - K - K
Sum K exp(−r(T − t)) − πt > 0 −K exp(−r(T − t)) + πt < 0 0 0
15. University of Houston/Department of Mathematics
Dr. Ronald H.W. Hoppe
Numerical Methods for Option Pricing in Finance
Arbitrage Table for the Proof of Theorem 1.1
Arbitrage table for the second part of the proof of Theorem 1.1.
Portfolio Cash Flow Value Portfolio at t Value Portfolio at T
ST ≤ K ST > K
Sell St St −St −ST −ST
Sell PE(St,t) PE(St,t) −PE(St,t) −(K − ST) 0
Buy CE(St,t) −CE(St,t) CE(St,t) 0 ST − K
Invest K exp(−r(T − t)) −K exp(−r(T − t)) K exp(−r(T − t)) K K
Sum πt − K exp(−r(T − t)) > 0 K exp(−r(T − t)) − πt < 0 0 0
16. University of Houston/Department of Mathematics
Dr. Ronald H.W. Hoppe
Numerical Methods for Option Pricing in Finance
Theorem 1.2 Lower and Upper Bounds for European Options
Let K,St,PE(St,t) and CE(St,t) be the values of a bond (with interest rate r > 0 and propor-
tional yield), an asset, a European put, and a European call. Under the previous assumptions,
for 0 ≤ t ≤ T there holds
(∗) (St − K exp(−r(T − t)))+
≤ CE(St,t) ≤ St ,
(∗∗) (K exp(−r(T − t)) − St)+
≤ PE(St,t) ≤ K exp(−r(T − t)) .
Proof of (∗) . Obviously, CE(St,t) ≥ 0, since otherwise the purchase of the call would result in
an immediate risk-free profit. Moreover, we show CE(St,t) ≤ St. Assume CE(St,t) > St. Buy the
asset, sell the call and eventually sell the asset on maturity date T. An immediate risk-free pro-
fit CE(St,t) − St > 0 is realized contradicting the no-arbitrage principle.
For the proof of the lower bound in (∗) assume the existence of an 0 ≤ t∗
≤ T such that
CE(St∗,t∗
) < St∗ − K exp(−r(T − t∗
)) .
The following arbitrage table shows that a risk-free profit is realized at time t∗
contradicting
the no-arbitrage principle.
17. University of Houston/Department of Mathematics
Dr. Ronald H.W. Hoppe
Numerical Methods for Option Pricing in Finance
Arbitrage Table for the Proof of Theorem 1.2
Arbitrage table for the proof of the lower bound in (∗)
Portfolio Cash Flow Value Portfolio at t Value Portfolio at T
ST ≤ K ST > K
Sell St∗ St∗ −St∗ −ST −ST
Buy CE(St∗,t∗
) −CE(St∗,t∗
) CE(St∗,t∗
) 0 ST − K
Invest K exp(−r(T − t∗
)) −K exp(−r(T − t∗
)) K exp(−r(T − t∗
)) K K
Sum πt∗ − K exp(−r(T − t∗
)) > 0 K exp(−r(T − t∗
)) − πt∗ < 0 K − ST ≥ 0 0
The proof of (∗∗) is left as an exercise.
18. University of Houston/Department of Mathematics
Dr. Ronald H.W. Hoppe
Numerical Methods for Option Pricing in Finance
Theorem 1.3 Lower and Upper Bounds for American Options
Let K,St,PA(St,t) and CA(St,t) be the values of a bond (with interest rate r > 0 and propor-
tional yield), an asset, an American put, and an American call. Under the previous assumptions,
for 0 ≤ t ≤ T there holds
(+) CA(St,t) = CE(St,t) ,
(++) K exp(−r(T − t)) ≤ St + PA(St,t) − CA(St,t) ≤ K ,
(+ + +) (K exp(−r(T − t)) − St)+
≤ PA(St,t) ≤ K .
Proof of (+). Assume that the American call is exercised at time t < T which, of course, only
makes sense when St > K. On the other hand, according to Theorem 1.2 (∗), which also holds
true for American options, we have
CA(St,t) ≥ (St − K exp(−r(T − t))+
= St − K exp(−r(T − t)) > St − K ,
i.e., it is preferable to sell the option instead of exercising it. Hence, the early exercise is not
optimal. But exercising on maturity date T corresponds to the case of a European option.
19. University of Houston/Department of Mathematics
Dr. Ronald H.W. Hoppe
Numerical Methods for Option Pricing in Finance
Proof of (++). Obviously, the higher flexibility of American put options implies that
PA(St,t) ≥ PE(St,t),0 ≤ t ≤ T. Then, (+) and the put-call parity Theorem 1.1 yield
CA(St,t) − PA(St,t) ≤ CE(St,t) − PE(St,t) = St − K exp(−r(T − t)) ,
which is the lower bound in (++). The upper bound is verified by the following arbitrage table
Portfolio Cash Flow Value Portfolio at t Value Portfolio at T∗
ST∗ ≤ K ST∗ > K
Sell put PA(St,t) −PA(St,t) −(K − ST∗) 0
Buy call −CA(St,t) CA(St,t) ≥ 0 ≥ ST∗ − K
Sell asset St −St −ST∗ −ST∗
Invest K −K K K exp(r(T∗
− t)) K exp(r(T∗
− t))
Sum PA − CA −PA + CA ≥ K (exp(r(T∗
− t)) − 1) ≥ K (exp(r(T∗
− t)) − 1)
+S − K > 0 −S + K < 0 ≥ 0 ≥ 0
20. University of Houston/Department of Mathematics
Dr. Ronald H.W. Hoppe
Numerical Methods for Option Pricing in Finance
Proof of (+++). We note that the chain (++) of inequalities can be equivalently stated as
K exp(−r(T − t)) − St + CA(St,t) ≤ PA(St,t) ≤ K − St + CA(St,t) .
Using (+) and the lower bound in Theorem 1.2 (∗), we find
PA(St,t) ≥ K exp(−r(T − t)) − St + CA(St,t) = K exp(−r(T − t)) − St + CE(St,t) ≥
≥ K exp(−r(T − t)) − St + (St − K exp(−r(T − t)))+
= (K exp(−r(T − t)) − St)+
.
On the other hand, using again (+) and the upper bound in Theorem 1.2 (∗) yields
PA(St,t) ≤ K − St + CA(St,t) = K − St + CE(St,t) ≤
≤ K − St + St = K ,
which proves (+ + +).
21. University of Houston/Department of Mathematics
Dr. Ronald H.W. Hoppe
Numerical Methods for Option Pricing in Finance
Lower and Upper Bounds for European and American Options
Puts Calls