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Static Replication of Exotic Options Andrew Chou JUL 241997 Eng
Static Replication of Exotic Options by Andrew Chou M.S., Computer Science MIT, 1994, and B.S., Computer Science, Economics, Mathematics, Physics MIT, 1991 Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degree of Doctor of Philosophy at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY June 1997 () Massachusetts Institute of Technology 1997. All rights reserved. Author ................. ......................... Department of Electrical Engineering and Computer Science April 23, 1997 Certified by ................... ............., ...... .................... Michael F. Sipser Professor of Mathematics Thesis Supervisor Accepted by .................................. A utlir C. Smith Chairman, Department Committee on Graduate Students .OF JUL 241997 Eng. •'~*..EC.•HL-, ' Static Replication of Exotic Options by Andrew Chou Submitted to the Department of Electrical Engineering and Computer Science on April 23, 1997, in partial fulfillment of the requirements for the degree of Doctor of Philosophy Abstract In the Black-Scholes model, stocks and bonds can be continuously traded to replicate the payoff of any derivative security. In practice, frequent trading is both costly and impractical. Static replication attempts to address this problem by creating replicating strategies that only trade rarely. In this thesis, we will study the static replication of exotic options by plain vanilla options. In particular, we will examine barrier options, variants of barrier options, and lookback options. Under the Black-Scholes assumptions, we will prove the existence of static replication strategies for all of these options. In addition, we will examine static replication when the drift and/or volatility is time-dependent. Finally, we conclude with a computational study to test the practical plausibility of static replication. -
Unlisted Infrastructure Debt Valuation & Performance Measurement
An EDHEC-Risk Institute Publication Unlisted Infrastructure Debt Valuation & Performance Measurement Theoretical Framework and Data Collection Requirements July 2014 with the support of Institute Table of Contents Executive Summary ............................. 5 1 Introduction .............................. 19 2 Characteristics of Private Infrastructure Debt ........... 25 3 Approaching the Valuation of Infrastructure Debt ......... 34 4 Model Implementation ........................ 56 5 Results ................................. 69 6 Conclusions ............................... 80 7 Technical Annex ............................ 89 References .................................. 96 About Natixis ................................ 99 About EDHEC-Risk Institute ........................ 101 EDHEC-Risk Institute Publications and Position Papers (2010-2014) . 105 . The author would like to thank Noel Amenc, Frédéric Ducoulombier, Lionel Martellini, Julien Michel, Marie Monnier and Benjamin Sirgue for useful comments and suggestions. Financial support from NATIXIS is acknowledged. This study presents the authors' views and conclusions which are not necessarily those of EDHEC Business School or NATIXIS. Printed in France, July 2014, Copyright EDHEC ©2014. Unlisted Infrastructure Debt Valuation & Performance Measurement - July 2014 Foreword The purpose of the present publication, Building on advanced and robust credit “Unlisted Infrastructure Debt Valuation risk modelling and private debt valuation & Performance Measurement”, which is techniques, this -
Volatility and Variance Swaps a Comparison of Quantitative Models to Calculate the Fair Volatility and Variance Strike
Volatility and variance swaps A comparison of quantitative models to calculate the fair volatility and variance strike Johan Roring¨ June 8, 2017 Student Master’s Thesis, 30 Credits Department of Mathematics and Mathematical Statistics Umea˚ University Volatility and variance swaps A comparison of quantitative models to calculate the fair volatility and variance strike Johan Roring¨ Submitted in partial fulfillment of the requirements for the degree Master of Science in Indus- trial Engineering and Management with specialization in Risk Management Department of Mathematics and Mathematical Statistics. Umea˚ University Supervisor: Ake˚ Brannstr¨ om¨ Examiner: Mats G Larson i Abstract Volatility is a common risk measure in the field of finance that describes the magnitude of an asset’s up and down movement. From only being a risk measure, volatility has become an asset class of its own and volatility derivatives enable traders to get an isolated exposure to an asset’s volatility. Two kinds of volatility derivatives are volatility swaps and variance swaps. The problem with volatility swaps and variance swaps is that they require estimations of the future variance and volatility, which are used as the strike price for a contract. This thesis will manage that difficulty and estimate strike prices with several different models. I will de- scribe how the variance strike for a variance swap can be estimated with a theoretical replicating scheme and how the result can be manipulated to obtain the volatility strike, which is a tech- nique that require Laplace transformations. The famous Black-Scholes model is described and how it can be used to estimate a volatility strike for volatility swaps. -
Introduction to Variance Swaps
Introduction to Variance Swaps Sebastien Bossu, Dresdner Kleinwort Wasserstein, Equity Derivatives Structuring Abstract Bank AG (whether or not acting by its London Branch) and any of its associated or affiliated companies and their directors, representatives or employees. Dresdner The purpose of this article is to introduce the properties of variance swaps, and give in- Kleinwort Wasserstein does not deal for, or advise or otherwise offer any investment sights into the hedging and valuation of these instruments from the particular lens of services to private customers. an option trader. Dresdner Bank AG London Branch, authorised by the German Federal Financial • Section 1 gives general details about variance swaps and their applications. Supervisory Authority and by the Financial Services Authority, regulated by the • Section 2 explains in ‘intuitive’ financial mathematics terms how variance swaps Financial Services Authority for the conduct of designated investment business in the are hedged and priced. UK. Registered in England and Wales No FC007638. Located at: Riverbank House, 2 Swan Lane, London, EC4R 3UX. Incorporated in Germany with limited liability. A Keywords member of Allianz. Variance swap, volatility, path-dependent, gamma risk, static hedge. Disclaimer This document has been prepared by Dresdner Kleinwort Wasserstein and is intend- ed for discussion purposes only. “Dresdner Kleinwort Wasserstein” means Dresdner Payoff 4. The notional is specified in volatility terms (here h50,000 per ‘vega’ or volatility point.) The true notional of the trade, called variance no- A variance swap is a derivative contract which allows investors to trade fu- tional or variance units, is given as: ture realized (or historical) volatility against current implied volatility. -
Projections Using Replicating Portfolios for Insurance Liabilities
Projections Using Replicating Portfolios for Insurance Liabilities Luuk Tegels MSc Thesis 2015-048 Maastricht University August, 2015 PROJECTIONS USING REPLICATING PORTFOLIOS FOR INSURANCE LIABILITIES Author: Luuk Tegels Supervisor: Prof. Dr. Antoon Pelsser Second corrector: Drs. Anne Balter Abstract For insurers it is important to value and price their assets and liabilities in a market consistent manner. In this thesis the replicating portfolio technique will be applied for the fair valuation of three different insurance products: pure cash flow, inflation linked, and option embedded. To construct the replicating portfolios we make use of the ordinary least squares and constrained least square approach. The main concern is the maximum (relative) error of the replicating portfolio. We find that this maximum is highly dependent on the product which is evaluated, but even the worst case remains limited to deviation of at most 3,5% of the products true value. In the next step the replicating portfolios are used to make projections of the products. It is found that the errors of the projections are equal to the initial error with accumulated interest. We then argue that the distribution of these projection errors is equal to the errors of the fit of the replicating portfolio. Hence, we conclude that the fit of the replicating portfolio is of vital importance to the quality of the projections. 2 1. Introduction For insurance liabilities, it is important that they are valued market-consistently, also known as fair value valuation. Since insurance liabilities as such are not (regularly) traded there are no reliable market prices to rely upon. -
[JP Morgan] Variance Swaps.Pdf
European Equity Derivatives Research J.P. Morgan Securities Ltd. London, 17 November, 2006 Variance Swaps • Variance swaps offer straightforward and direct exposure to the volatility of an underlying . 28 O • Returns from variance swaps can act as a diversifying asset • Variance swaps can be used for hedging volatility exposures : N or generating alpha Overview In this note we discuss the variance swap market, mechanics, pricing and uses. TRATEGIES Variance swaps offer straightforward and direct exposure to the volatility of an underlying asset. They are liquid across major equity indices and large cap S stocks, and increasingly across emerging market indices and other asset classes. Major uses include taking a volatility view, diversifying returns, hedging and relative value trading. Variance swaps can also be used to trade forward volatility and correlation. Variance swaps can be replicated by a delta-hedged portfolio of vanilla options, NVESTMENT I so that pricing reflects volatilities across the entire skew surface. In practice this means that variance swaps trade at a small premium to ATM implied volatilities. Variance swap cash-flows Buyer pays variance swap strike Buyer of Seller of Peter Allen variance variance (44-20) 7325-4114 swap swap [email protected] Seller pays Stephen Einchcomb realised variance (44-20) 7325-9064 at expiry [email protected] Nicolas GrangerAC (44-20) 7325-7033 Source: JPMorgan [email protected] The certifying analyst is indicated by an AC. See page 102 for analyst certification and important legal and regulatory disclosures. www.morganmarkets.com Peter Allen European Equity Derivatives Strategy (44-20) 7325-4114 17 November 2006 Stephen Einchcomb (44-20) 7325-9064 Nicolas Granger (44-20) 7325-7033 Table of Contents Part 1: Variance Swap Mechanics.......................................................................................................................