Dynamics of basket hedging (CreditMetrics for baskets – the “Black-Scholes” of the Credit Derivatives market) Galin Georgiev January, 2000.

Slides:



Advertisements
Similar presentations
Fi8000 Basics of Options: Calls, Puts
Advertisements

Currency Option Valuation stochastic Option valuation involves the mathematics of stochastic processes. The term stochastic means random; stochastic processes.
Valuation of Financial Options Ahmad Alanani Canadian Undergraduate Mathematics Conference 2005.
Black-Scholes Equation April 15, Contents Options Black Scholes PDE Solution Method.
Topic 3: Derivatives Options: puts and calls
Interest Rate Options Chapter 18. Exchange-Traded Interest Rate Options Treasury bond futures options (CBOT) Eurodollar futures options.
Fi8000 Option Valuation II Milind Shrikhande. Valuation of Options ☺Arbitrage Restrictions on the Values of Options ☺Quantitative Pricing Models ☺Binomial.
Chapter 14 The Black-Scholes-Merton Model
Valuing Stock Options: The Black-Scholes-Merton Model.
Options Week 7. What is a derivative asset? Any asset that “derives” its value from another underlying asset is called a derivative asset. The underlying.
Spreads  A spread is a combination of a put and a call with different exercise prices.  Suppose that an investor buys simultaneously a 3-month put option.
 Financial Option  A contract that gives its owner the right (but not the obligation) to purchase or sell an asset at a fixed price as some future date.
1 16-Option Valuation. 2 Pricing Options Simple example of no arbitrage pricing: Stock with known price: S 0 =$3 Consider a derivative contract on S:
Financial options1 From financial options to real options 2. Financial options Prof. André Farber Solvay Business School ESCP March 10,2000.
8.1 Credit Risk Lecture n Credit Ratings In the S&P rating system AAA is the best rating. After that comes AA, A, BBB, BB, B, and CCC The corresponding.
Chapter 23 Credit Risk Options, Futures, and Other Derivatives, 8th Edition, Copyright © John C. Hull 2012.
CHAPTER 4 Background on Traded Instruments. Introduction Market risk: –the possibility of losses resulting from unfavorable market movements. –It is the.
Ch. 19 J. Hull, Options, Futures and Other Derivatives Zvi Wiener Framework for pricing derivatives.
Week 5 Options: Pricing. Pricing a call or a put (1/3) To price a call or a put, we will use a similar methodology as we used to price the portfolio of.
17-Swaps and Credit Derivatives
5.2Risk-Neutral Measure Part 2 報告者:陳政岳 Stock Under the Risk-Neutral Measure is a Brownian motion on a probability space, and is a filtration for.
5.1 Option pricing: pre-analytics Lecture Notation c : European call option price p :European put option price S 0 :Stock price today X :Strike.
Chapter 14 The Black-Scholes-Merton Model Options, Futures, and Other Derivatives, 8th Edition, Copyright © John C. Hull
Théorie Financière Financial Options Professeur André Farber.
CREDIT RISK. CREDIT RATINGS  Rating Agencies: Moody’s and S&P  Creditworthiness of corporate bonds  In the S&P rating system, AAA is the best rating.
Credit Risk Chapter 20.
JUMP DIFFUSION MODELS Karina Mignone Option Pricing under Jump Diffusion.
Class 5 Option Contracts. Options n A call option is a contract that gives the buyer the right, but not the obligation, to buy the underlying security.
1 Chapter 17 Option Pricing Theory and Firm Valuation.
Valuing Stock Options:The Black-Scholes Model
11.1 Options, Futures, and Other Derivatives, 4th Edition © 1999 by John C. Hull The Black-Scholes Model Chapter 11.
Financial Risk Management of Insurance Enterprises Valuing Interest Rate Options and Swaps.
The Greek Letters.
Credit Derivatives Advanced Methods of Risk Management Umberto Cherubini.
Option Valuation. Intrinsic value - profit that could be made if the option was immediately exercised –Call: stock price - exercise price –Put: exercise.
Option Valuation Lecture XXI. n What is an option? In a general sense, an option is exactly what its name implies - An option is the opportunity to buy.
1 Options Option Basics Option strategies Put-call parity Binomial option pricing Black-Scholes Model.
What is an Option? An option gives one party the right, but NOT THE OBLIGATION to perform some specific investment action at a future date and for a defined.
HJM Models.
Options, Futures, and Other Derivatives, 5th edition © 2002 by John C. Hull 22.1 Interest Rate Derivatives: The Standard Market Models Chapter 22.
INVESTMENTS | BODIE, KANE, MARCUS Copyright © 2011 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin CHAPTER 18 Option Valuation.
Black Scholes Option Pricing Model Finance (Derivative Securities) 312 Tuesday, 10 October 2006 Readings: Chapter 12.
Valuing Stock Options: The Black- Scholes Model Chapter 11.
Prof. Martin Lettau 1 Option Pricing Theory and Real Option Applications Prof. Martin Lettau.
Options An Introduction to Derivative Securities.
Credit Risk Chapter 22 1 Options, Futures, and Other Derivatives, 7th Edition, Copyright © John C. Hull 2008.
1 Chapter 22 Exotic Options: II. 2 Outline Simple options that are used to build more complex ones Simple all-or-nothing options All-or-nothing barrier.
1 MGT 821/ECON 873 Financial Derivatives Lecture 1 Introduction.
Financial Risk Management of Insurance Enterprises Options.
Ch22 Credit Risk-part2 資管所 柯婷瑱. Agenda Credit risk in derivatives transactions Credit risk mitigation Default Correlation Credit VaR.
© Prentice Hall, Corporate Financial Management 3e Emery Finnerty Stowe Derivatives Applications.
Option Pricing Models: The Black-Scholes-Merton Model aka Black – Scholes Option Pricing Model (BSOPM)
2.1 DEFAULTABLE CLAIMS 指導教授:戴天時 學生:王薇婷. T*>0, a finite horizon date (Ω,F,P): underlying probability space :real world probability :spot martingale measure.
1 Chapter 16 Options Markets u Derivatives are simply a class of securities whose prices are determined from the prices of other (underlying) assets u.
Option Valuation.
13.1 Valuing Stock Options : The Black-Scholes-Merton Model Chapter 13.
Chapter 24 Interest Rate Models.
1 1 Ch20&21 – MBA 566 Options Option Basics Option strategies Put-call parity Binomial option pricing Black-Scholes Model.
Credit Risk Losses and Credit VaR
The Black- Scholes Equation
OPTIONS PRICING AND HEDGING WITH GARCH.THE PRICING KERNEL.HULL AND WHITE.THE PLUG-IN ESTIMATOR AND GARCH GAMMA.ENGLE-MUSTAFA – IMPLIED GARCH.DUAN AND EXTENSIONS.ENGLE.
Reduced form models. General features of the reduced form models describe the process for the arrival of default – unpredictable event governed by an.
Chapter 14 The Black-Scholes-Merton Model 1. The Stock Price Assumption Consider a stock whose price is S In a short period of time of length  t, the.
Structural Models. 2 Source: Moody’s-KMV What do we learn from these plots? The volatility of a firm’s assets is a major determinant of its.
Chapter 14 Exotic Options: I. © 2013 Pearson Education, Inc., publishing as Prentice Hall. All rights reserved.19-2 Exotic Options Nonstandard options.
Introduction to Options. Option – Definition An option is a contract that gives the holder the right but not the obligation to buy or sell a defined asset.
Primbs, MS&E Applications of the Linear Functional Form: Pricing Exotics.
Chapter 27 Credit Risk.
Presentation transcript:

Dynamics of basket hedging (CreditMetrics for baskets – the “Black-Scholes” of the Credit Derivatives market) Galin Georgiev January, 2000

This report represents only the personal opinions of the author and not those of J.P.Morgan, its subsidiaries or affiliates Disclaimer

94469_97 2 Summary  Definition of a protection contract on an individual name and a first-to-default (FTD) protection contract on two names  The CreditMetrics model for baskets: basic definitions and variations. The basket as a rainbow digital option.  Greeks and dynamic hedging of baskets. Implied vs. realized correlation.

94469_97 3 Suppose risk-free interest rates are zero and denote by t the present time. A protection contract maturing at time T on company A entitles the holder to receive $1 at T if A defaults prior to T (and $0 otherwise). (In the market place, this is called a zero-coupon credit swap, settled at maturity, with zero recovery). Note that where the latter is the risk-free probability of default of A up to time T, i.e., is proportional to the credit spread of A. Individual protection contract

94469_97 4 FTD protection contract A first-to-default (FTD) protection contract maturing at time T, on companies A and B, entitles the holder to receive $1 at T if at least one of the companies defaults prior to T (and $0 otherwise). The price equals the probability of A or B or both defaulting before T.

94469_97 5 The market perspective While the price of protection for individual credits is (more or less) given by the credit swaps market, there is no liquid market yet for FTD protection (or, equivalently, FTD probability). One needs a model to price as a rainbow derivative on and It depends on the correlation between the underlying spreads in the no- default state and the correlation between the corresponding default events.

94469_97 6 The CreditMetrics formalism Assumption: where is a univariate random normal variable and is the so- called threshold (defined above; is the cumulative normal distribution). One can be more specific and define where is the normally distributed firm’s asset level and is the (fixed) firm’s liability level (at time T).

94469_97 7 Asset Distribution at Maturity Initial Asset Level Liability Level Default Probability

94469_97 8 Inconsistencies of the CreditMetrics model 0T1T1 T2T2 Asset Level Liability Level 1 Time Liability Level 2 Assets Default Assets >Liabilities => No Default

94469_97 9 Assuming for simplicity constant volatility (of the assets), one can rephrase the price of protection in terms of familiar option theory: where is a standard Brownian motion which we call normalized threshold (with initial point, depending unfortunately on T). This is nothing else but the price of a barrier option (digital) on the underlying struck at 0 and expiring at T.

94469_97 10 The protection contract as a barrier option We can therefore think of the protection contract as a contingent claim (barrier option) on the underlying Unsurprisingly, it satisfies the (normal version of) the Black-Scholes equation:

94469_97 11 The FTD protection contract as a rainbow barrier option The FTD protection price in this context is which in terms of normalized thresholds means (where is the bivariate normal cumulative and is the correlation between and ). For, one has

94469_97 12 Black-Scholes for the FTD protection One can easily compute the Greeks and check that our rainbow contingent claim satisfies the two-dimensional version of the (normal) Black-Scholes equation:

94469_97 13 Hedge ratios Since the normalized thresholds are not traded, we obviously hedge the FTD protection (the rainbow barrier option) with the two individual protection contracts (1-dim barrier options) and. The corresponding hedge ratios are easily computable:

94469_97 14 Convexity of the hedged portfolio The hedged FTD portfolio is easily seen to have a negative “off-diagonal” convexity: and positive “diagonal” convexity ( ):

94469_97 15

94469_97 16 Convexity seen through the effect of individual tweaks or parallel tweaks on the hedge ratios of 5 name basket

94469_97 17

94469_97 18 If one buys FTD protection and continuously rehedges, the resulting P&L is where is the realized correlation and is the bivariate normal density. If, one is long convexity and makes money due to rehedging (but one pays for it upfront because the money earned by selling the original hedges is less). Implied vs. realized correlation

94469_97 19 A correlation contract ? The P&L due to continuous rehedging of the basket is clearly path- dependent. Similarly to the development of the vol contract in standard option theory, the time will come to develop a “correlation contract” whose payoff is path-independent and proportional to realized correlation.