Theory and Empirical Evidence in the Credit Default Swap Markets
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Value at Risk for Linear and Non-Linear Derivatives
Value at Risk for Linear and Non-Linear Derivatives by Clemens U. Frei (Under the direction of John T. Scruggs) Abstract This paper examines the question whether standard parametric Value at Risk approaches, such as the delta-normal and the delta-gamma approach and their assumptions are appropriate for derivative positions such as forward and option contracts. The delta-normal and delta-gamma approaches are both methods based on a first-order or on a second-order Taylor series expansion. We will see that the delta-normal method is reliable for linear derivatives although it can lead to signif- icant approximation errors in the case of non-linearity. The delta-gamma method provides a better approximation because this method includes second order-effects. The main problem with delta-gamma methods is the estimation of the quantile of the profit and loss distribution. Empiric results by other authors suggest the use of a Cornish-Fisher expansion. The delta-gamma method when using a Cornish-Fisher expansion provides an approximation which is close to the results calculated by Monte Carlo Simulation methods but is computationally more efficient. Index words: Value at Risk, Variance-Covariance approach, Delta-Normal approach, Delta-Gamma approach, Market Risk, Derivatives, Taylor series expansion. Value at Risk for Linear and Non-Linear Derivatives by Clemens U. Frei Vordiplom, University of Bielefeld, Germany, 2000 A Thesis Submitted to the Graduate Faculty of The University of Georgia in Partial Fulfillment of the Requirements for the Degree Master of Arts Athens, Georgia 2003 °c 2003 Clemens U. Frei All Rights Reserved Value at Risk for Linear and Non-Linear Derivatives by Clemens U. -
Fixed-Income Securities Lecture 5: Tools from Option Pricing Philip H
Fixed-Income Securities Lecture 5: Tools from Option Pricing Philip H. Dybvig Washington University in Saint Louis • Review of binomial option pricing • Interest rates and option pricing • Effective duration • Simulation Copyright c Philip H. Dybvig 2000 Option-pricing theory The option-pricing model of Black and Scholes revolutionized a literature previ- ously characterized by clever but unreliable rules of thumb. The Black-Scholes model uses continuous-time stochastic process methods that interfere with un- derstanding the simple intuition underlying these models. We will use instead the binomial option pricing model of Cox, Ross, and Rubinstein, which captures all of the economics of the continuous-time model but is simpler to understand and use. The original binomial model assumed a constant interest rate, but it does not change much when interest rates can vary. Cox, John C., Stephen A. Ross, and Mark Rubinstein, 1979, Option Pricing: A Simplified Approach, Journal of Financial Economics 7, 229{263 Black, Fischer, and Myron Scholes (1973), The Pricing of Options and Corporate Liabilities, Journal of Political Economy 81, 637{654 A simple option pricing problem in one period Short-maturity bond (interest rate is 5%): 1 - 1:05 Long bond: ¨¨*1:15 1 H¨ HHj1 Derivative security (intermediate bond): ¨*109 ¨¨ ? H HHj103 The replicating portfolio To replicate the intermediate bond using αS short-maturity bonds and αB long bonds: 109 = 1:05αS + 1:15αL 103 = 1:05αS + 1:00αL Therefore αS = 60, αL = 40, and the replicating portfolio is worth 60+40 = 100. By absence of arbitrage, this must also be the price of the intermediate bond. -
Morningstar Global Fixed Income Classification Methodology
? Morningstar Global Fixed Income Classification Morningstar Research Introduction Effective Oct. 31, 2016 Fixed-Income Sectors Contents The fixed-income securities and fixed-income derivative exposures within a portfolio are mapped into 1 Introduction Secondary Sectors that represent the most granular level of classification. Each item can also be 2 Super Sectors 10 Sectors grouped into one of several higher-level Primary Sectors, which ultimately roll up to five fixed-income Super Sectors. Important Disclosure The conduct of Morningstar’s analysts is governed Cash Sectors by Code of Ethics/Code of Conduct Policy, Personal Cash securities and cash-derivative exposures within a portfolio are mapped into Secondary Sectors that Security Trading Policy (or an equivalent of), and Investment Research Policy. For information represent the most granular level of classification. Each item can also be grouped into cash & regarding conflicts of interest, please visit: http://global.morningstar.com/equitydisclosures equivalents Primary Sector and into cash & equivalents Super Sector (cash & equivalents Primary Sector = cash & equivalents Super Sector ). Morningstar includes cash within fixed-income sectors. Cash is not a bond, but it is a type of fixed- income. When bond-fund managers are feeling nervous about interest rates rising, they might increase their cash stake to shorten the portfolio’s duration. Moving assets into cash is a defensive strategy for interest-rate risk. In addition, Morningstar includes securities that mature in less than 92 days in the definition of cash. The cash & equivalents Secondary Sectors allow for more-detailed identification of cash, allowing clients to see, for example, if the cash holdings are in currency or short-term government bonds. -
Bond Option Implied Volatility Surface
Number: 557/2020 Relates to: ☐ Equity Market ☐ Equity Derivatives ☐ Commodity Derivatives ☐ Currency Derivatives Interest Rate Derivatives Date: 15 October 2020 SUBJECT: BOND OPTION IMPLIED VOLATILITY SURFACE Name and Surname: Mzwandile Riba Designation: Head - Data Solutions 1. EXECUTIVE SUMMARY The growth in the Interest Rate Derivatives market has brought into the spotlight the mark-to-market (MTM) methodology employed for bond options. In particular, the MTM of the bond option implied volatility surface has been subject to a few enquiries. It was the intention of the workshop hosted by the JSE on the 18 September 2020 to bring together different market participants in order to get a broader set of views regarding the methodology. The proposals presented by the JSE at the workshop considered the various inputs received from different market players. The outcome of the workshop was positive. A consensus was established as to the changes that will be made to the current methodology and process. The changes can be summarized as follows: Changing the mapping process (mapping from bonds to swaps) from using “forward PV01” to using a “forward starting term to maturity” (forward starting date being the expiry date of the underlying option). This date can be assumed to be the settlement date of the bond. Update the implied volatility surface in its entirety on a daily basis based on data received from the existing vendor provider of implied volatility surfaces to the JSE. This will also incorporate the ATM volatilities as observed on the broker screens. o A snapshot of the ATM bids and offers will be taken at any time between 15h45 and 16h00 The Valuations team intends to go live with this process from 2 November 2020. -
Credit Derivatives Handbook
Corporate Quantitative Research New York, London December, 2006 Credit Derivatives Handbook Detailing credit default swap products, markets and trading strategies About this handbook This handbook reviews both the basic concepts and more advanced Corporate Quantitative Research trading strategies made possible by the credit derivatives market. Readers AC seeking an overview should consider Sections 1.1 - 1.3, and 8.1. Eric Beinstein (1-212) 834-4211 There are four parts to this handbook: [email protected] Andrew Scott, CFA Part I: Credit default swap fundamentals 5 (1-212) 834-3843 [email protected] Part I introduces the CDS market, its participants, and the mechanics of the credit default swap. This section provides intuition about the CDS Ben Graves, CFA valuation theory and reviews how CDS is valued in practice. Nuances of (1-212) 622-4195 [email protected] the standard ISDA documentation are discussed, as are developments in documentation to facilitate settlement following credit events. Alex Sbityakov (1-212) 834-3896 Part II: Valuation and trading strategies 43 [email protected] Katy Le Part II provides a comparison of bonds and credit default swaps and (1-212) 834-4276 discusses why CDS to bond basis exists. The theory behind CDS curve [email protected] trading is analyzed, and equal-notional, duration-weighted, and carry- neutral trading strategies are reviewed. Credit versus equity trading European Credit Derivatives Research strategies, including stock and CDS, and equity derivatives and CDS, are analyzed. Jonny Goulden (44-20) 7325-9582 Part III: Index products 111 [email protected] The CDX and iTraxx products are introduced, valued and analyzed. -