Structured Products: Pricing Hedging

Total Page:16

File Type:pdf, Size:1020Kb

Structured Products: Pricing Hedging U.U.D.M. Project Report 2009:4 Structured products: Pricing, hedging and applications for life insurance companies Mohamed Osman Abdelghafour Examensarbete i matematik, 30 hp Handledare och examinator: Johan Tysk Mars 2009 Department of Mathematics Uppsala University Acknowledgement I would like to express my appreciation to Professor Johan Tysk my supervisor, not only for his exceptional help on this project, but also for the courses (Financial Mathematics and Financial Derivatives) that he taught which granted me the understanding options theory and the necessary mathematical background to come write this thesis. I would also like to thank him because he is the one who introduced me to the Financial Mathematics Master at the initial stage of my studies. Also thanks to the rest of the professors in the Financial Mathematics and Financial Economics Programme who provided instruction, encouragement and guidance, I would like to say Thank you to you all. They did not only teach me how to learn, they also taught me how to teach, and their excellence has always inspired me. Finally, I would like to thank my Father, Ramadan for his financial support and encouragement, my mother, and my wife Nellie who for their patience and continuous support, when I was studying and writing this thesis. 1 Introduction Chapter 1 Financial derivatives 1.1 What is the structured product? 1.1.1 Equity-linked structured products 1.1.2 Capital-Guaranteed Products 1.2 Financial Derivative topics 1.21 Futures and Forward contracts pricing and hedging 1.2.2 The fundamental exposure types 1.2.3 European type Options 1.2.4 American type options 1.2.5 Bermudian Options 1.2.6 Asian option types 1.2.7 Cliquet options Chapter 2 interest rate structured products 2.1 Floating Rate Notes (FRNs, Floaters) 2.2 Options on bonds 2.3 Interest Rate Caps and Floors 2.4 Interest rate swap (IRS) 2.5 European payer (receiver) swaption 2.6 Callable/Putable Zero Coupon Bonds 2.7 Chapter 3 Structured Swaps 3.1 Variance swaps 2 Chapter 1 Introduction In recent years many investment products have emerged in the financial markets and one of the most important products are so-called structured products. Structured products involve a large range of investment products that combine many types of investments into one product through the process of financial engineering. Retail and institutional investors nowadays need to understand how to use such products to manage risks and enhance their returns on their investment. As structured products investment require some derivatives instruments knowledge. The author will present some derivative introduction and topics that will be used in the main context of structured products . Structured investment products are tailored, or packaged, to meet certain financial objectives of investors. Typically, these products provide investors with capital protection, income generation and/or the opportunity to generate capital growth. So the author will present the use of such products and their payoff and analyse the use of different strategies. In fact, those products can be considered ready-made investment strategy available for investors so the investor will save time and effort to establish such complex investment strategies. In the pricing models and hedging, the author will tackle mainly the basic models of underlying equities and interest rate derivatives and he will give some pricing examples. Structured products tend to involve periodical interest payments and redemption (which might not be protected). A part of the interest payment is used to buy the derivatives part. What sets them apart from bonds is that both interest payments and redemption amounts depend in a rather complicated fashion on the movements of for example basket of assets, basket of indices exchange rates or future interest rates. Since structured products are made up of simpler components, I usually break them down into their integral parts when I need to value them or assess their risk profile and any hedging strategies. 3 This approach should facilitate the analysis and pricing of the individual components. For many product groups, no uniform naming conventions have evolved yet, and even where such conventions exist, some issuers will still use alternative names. I use the market names for products which are common; at the same time, I try to be as accurate as possible. Commonly used alternative names are also indicated in each product’s description. 1.1 What are structured products? Definition: Structured products are investment instruments that combine at least one derivative contract with underlying assets such as equity and fixed-income securities. The value of the derivative may depend on one or several underlying assets. Furthermore, unlike a portfolio with the same constituents the structured product is usually wrapped in a legally compliant, ready-to-invest format and in this sense it is a packaged portfolio. Structured investments have been part of diversified portfolios in Europe and Asia for many years, while the basic concept for these products originated in the United States in the 1980s. Structured investments 'compete' with a range of alternative investment vehicles, such as individual securities, mutual funds, ETFs (exchange traded fund) and closed-end funds. The recent growth of these instruments is due to innovative features, better pricing and improved liquidity. The idea behind a structured investment is simple: to create an investment product that combines some of the best features of equity and fixed income namely upside potential with downside protection. This is accomplished by creating a "basket" of investments that can include bonds, CDs, equities, commodities, currencies, real estate investment trusts, and derivative products. 4 This mix of investments in the basket determines its potential upside, as well as downside protection. The usual components of a structured product are a zero-coupon bond component and an option component. The payout from the option can be in the form of a fixed or variable coupon, or can be paid out during the lifetime of the product or at maturity. The zero-coupon bond component serves as buffer for yield-enhancement strategies which profit from actively accepting risk. Therefore, the investor cannot suffer a loss higher than the note, but may lose significant part of it. The zero-coupon bond component is a floor for the capital-protected products. Other products, in particular various dynamic investment strategies, adjust the proportion of the zero-coupon bond over time depending on a predetermined rule. 1.1.1 Equity-linked structured products The classification refers to the implicit option components of the product. In a first step, I distinguish between products with plain vanilla and those with exotic options components. While in a second step, exotic products can be uniquely identified and named, a similar differentiation within the group of plain-vanilla products is not possible. Their payment profiles can be replicated by one or more plain-vanilla options, whereby the option types (call or put) and position (long or short) is product-specific. Therefore, I assign terms to some products that best characterize their payment profiles. A classic structured product has the basic characteristics of a bond. As a special- feature, the issuer has the right to redeem it at maturity either by repayment of its- nominal value or delivery of a previously fixed number of specified shares. Most structured products can be divided into two basic types: with and without coupon payments generally referred to as reverse convertibles and discount certificates. 5 In order to value structured products, I decompose them by means of duplication, i.e., the reconstruction of product payment profiles through several single components. Thereby, I ignore transactions costs and market frictions, e.g., tax influences. 1.1.2 Capital-Guaranteed Products Capital-guaranteed products have three distinguishing characteristics: • Redemption at a minimum guaranteed percentage of the face value (redemption- at face value (100%) is frequently guaranteed). • No or low nominal interest rates. • Participation in the performance of underlying assets The products are typically constructed in such a way that the issue price is as close as possible to the bond’s face value (with adjustment by means of the nominal interest rate). It is also common that no payments (including coupons) are made until the product’s maturity date. The investor’s participation in the performance of the underlying asset can take an extremely wide variety of forms. In the simplest variant, the redemption amount is determined as the product of the face value- and the percentage change in the underlying asset’s price during the term of the product. If this value is lower than the guaranteed redemption amount; the instrument is redeemed at the guaranteed amount. This can also be expressed as the following formula: R=N(1+max(0,ST-S0)) 6 S0 = N + N . max(0,ST-S0)) S0 where R: redemption amount N: face value S0 : original price of underlying asset ST : Price of underlying asset at maturity. Therefore, these products have a number of European call options on the underlying asset embedded in them. The number of options is equal to the face value divided by the initial price (cf. the last term in the formula). The instrument can thus, be interpreted as a portfolio of zero coupon bonds (redemption amount and coupons) and European call options. The possible range of capital-guaranteed products
Recommended publications
  • Ex-Post Structured Product Returns: Index Methodology and Analysis
    Ex-post Structured Product Returns: Index Methodology and Analysis Geng Deng, PhD, CFA, FRM∗ Tim Dulaney, PhD, FRMy;z Tim Husson, PhD, FRMx;z Craig McCann, PhD, CFA{ Mike Yan, PhD, FRMk August 20, 2014 Abstract The academic and practitioner literature now includes numerous studies of the substantial issue date mispricing of structured products but there is no large scale study of the ex- post returns earned by US structured product investors. This paper augments the current literature by analyzing the ex-post returns of over 20,000 individual structured products issued by 13 brokerage firms since 2007. We construct our structured product index and sub- indices for reverse convertibles, single-observation reverse convertibles, tracking securities, and autocallable securities by valuing each structured product in our database each day. The ex-post returns of US structured products are highly correlated with the returns of large capitalization equity markets in the aggregate but individual structured products generally underperform simple alternative allocations to stocks and bonds. The observed underperformance of structured products is consistent with the significant issue date under- pricing documented in the literature. ∗Director of Research, Securities Litigation and Consulting Group. yFinancial Analyst, U.S. Securities and Exchange Commission, [email protected]. zThe Securities and Exchange Commission, as a matter of policy, disclaims responsibility for any private pub- lication or statement by any of its employees. The views expressed herein are those of the author and do not necessarily reflect the views of the Commission or of the author's colleagues upon the staff of the Commission. xFinancial Analyst, U.S.
    [Show full text]
  • Analysis of Securitized Asset Liquidity June 2017 an He and Bruce Mizrach1
    Analysis of Securitized Asset Liquidity June 2017 An He and Bruce Mizrach1 1. Introduction This research note extends our prior analysis2 of corporate bond liquidity to the structured products markets. We analyze data from the TRACE3 system, which began collecting secondary market trading activity on structured products in 2011. We explore two general categories of structured products: (1) real estate securities, including mortgage-backed securities in residential housing (MBS) and commercial building (CMBS), collateralized mortgage products (CMO) and to-be-announced forward mortgages (TBA); and (2) asset-backed securities (ABS) in credit cards, autos, student loans and other miscellaneous categories. Consistent with others,4 we find that the new issue market for securitized assets decreased sharply after the financial crisis and has not yet rebounded to pre-crisis levels. Issuance is below 2007 levels in CMBS, CMOs and ABS. MBS issuance had recovered by 2012 but has declined over the last four years. By contrast, 2016 issuance in the corporate bond market was at a record high for the fifth consecutive year, exceeding $1.5 trillion. Consistent with the new issue volume decline, the median age of securities being traded in non-agency CMO are more than ten years old. In student loans, the average security is over seven years old. Over the last four years, secondary market trading volumes in CMOs and TBA are down from 14 to 27%. Overall ABS volumes are down 16%. Student loan and other miscellaneous ABS declines balance increases in automobiles and credit cards. By contrast, daily trading volume in the most active corporate bonds is up nearly 28%.
    [Show full text]
  • The Forward Smile in Stochastic Local Volatility Models
    The forward smile in stochastic local volatility models Andrea Mazzon∗ Andrea Pascucciy Abstract We introduce an approximation of forward start options in a multi-factor local-stochastic volatility model. We derive explicit expansion formulas for the so-called forward implied volatility which can be useful to price complex path-dependent options, as cliquets. The expansion involves only polynomials and can be computed without the need for numerical procedures or special functions. Recent results on the exploding behaviour of the forward smile in the Heston model are confirmed and generalized to a wider class of local-stochastic volatility models. We illustrate the effectiveness of the technique through some numerical tests. Keywords: forward implied volatility, cliquet option, local volatility, stochastic volatility, analytical ap- proximation Key messages • approximation for the forward implied volatility • local stochastic volatility models • explosion of the out-of-the-money forward smile 1 Introduction In an arbitrage-free market, we consider the risk-neutral dynamics described by the d-dimensional Markov diffusion dXt = µ(t; Xt)dt + σ(t; Xt)dWt; (1.1) where W is a m-dimensional Brownian motion. The first component X1 represents the log-price of an asset, while the other components of X represent a number of things, e.g., stochastic volatilities, economic indicators or functions of these quantities. We are interested in the forward start payoff + X1 −X1 k e t+τ t − e (1.2) ∗Gran Sasso Science Institute, viale Francesco Crispi 7, 67100 L'Aquila, Italy ([email protected]) yDipartimento di Matematica, Universit`a di Bologna, Piazza di Porta S.
    [Show full text]
  • New Frontiers in Practical Risk Management
    New Frontiers in Practical Risk Management English edition Issue n.6-S pring 2015 Iason ltd. and Energisk.org are the editors of Argo newsletter. Iason is the publisher. No one is al- lowed to reproduce or transmit any part of this document in any form or by any means, electronic or mechanical, including photocopying and recording, for any purpose without the express written permission of Iason ltd. Neither editor is responsible for any consequence directly or indirectly stem- ming from the use of any kind of adoption of the methods, models, and ideas appearing in the con- tributions contained in Argo newsletter, nor they assume any responsibility related to the appropri- ateness and/or truth of numbers, figures, and statements expressed by authors of those contributions. New Frontiers in Practical Risk Management Year 2 - Issue Number 6 - Spring 2015 Published in June 2015 First published in October 2013 Last published issues are available online: www.iasonltd.com www.energisk.org Spring 2015 NEW FRONTIERS IN PRACTICAL RISK MANAGEMENT Editors: Antonio CASTAGNA (Co-founder of Iason ltd and CEO of Iason Italia srl) Andrea RONCORONI (ESSEC Business School, Paris) Executive Editor: Luca OLIVO (Iason ltd) Scientific Editorial Board: Fred Espen BENTH (University of Oslo) Alvaro CARTEA (University College London) Antonio CASTAGNA (Co-founder of Iason ltd and CEO of Iason Italia srl) Mark CUMMINS (Dublin City University Business School) Gianluca FUSAI (Cass Business School, London) Sebastian JAIMUNGAL (University of Toronto) Fabio MERCURIO (Bloomberg LP) Andrea RONCORONI (ESSEC Business School, Paris) Rafal WERON (Wroclaw University of Technology) Iason ltd Registered Address: 6 O’Curry Street Limerick 4 Ireland Italian Address: Piazza 4 Novembre, 6 20124 Milano Italy Contact Information: [email protected] www.iasonltd.com Energisk.org Contact Information: [email protected] www.energisk.org Iason ltd and Energisk.org are registered trademark.
    [Show full text]
  • Regulatory Circular RG16-044
    Regulatory Circular RG16-044 Date: February 29, 2016 To: Trading Permit Holders From: Regulatory Division RE: Product Description and Margin and Net Capital Requirements - Asian Style Settlement FLEX Broad-Based Index Options - Cliquet Style Settlement FLEX Broad-Based Index Options KEY POINTS On March 21, 2016, Chicago Board Options Exchange, Incorporated (“CBOE” or “Exchange”) plans to commence trading Asian style settlement and Cliquet style settlement FLEX Broad-Based Index Options (“Asian options” and “Cliquet options,” respectively).1 Asian and Cliquet options are permitted only for broad-based indexes on which options are eligible for trading on CBOE. Asian and Cliquet options may not be exercised prior to the expiration date and must have a $100 multiplier. Asian style settlement is a settlement style that may be designated for FLEX Broad-Based Index options and results in the contract settling to an exercise settlement value that is based on an arithmetic average of the specified closing prices of an underlying broad-based index taken on 12 predetermined monthly observation dates. Cliquet style settlement is a settlement style that may be designated for FLEX Broad-Based Index options and results in the contract settling to an exercise settlement value that is equal to the greater of $0 or the sum of capped monthly returns (i.e., percent changes in the closing value of the underlying broad-based index from one month to the next month) applied over 12 predetermined monthly observation dates. The monthly observation date is set by the parties to a transaction. It is the date each month on which the value of the underlying broad-based index is observed for the purpose of calculating the exercise settlement value.
    [Show full text]
  • Calibration Risk for Exotic Options
    Forschungsgemeinschaft through through Forschungsgemeinschaft SFB 649DiscussionPaper2006-001 * CASE - Center for Applied Statistics and Economics, Statisticsand Center forApplied - * CASE Calibration Riskfor This research was supported by the Deutsche the Deutsche by was supported This research Wolfgang K.Härdle** Humboldt-Universität zuBerlin,Germany SFB 649, Humboldt-Universität zu Berlin zu SFB 649,Humboldt-Universität Exotic Options Spandauer Straße 1,D-10178 Berlin Spandauer http://sfb649.wiwi.hu-berlin.de http://sfb649.wiwi.hu-berlin.de Kai Detlefsen* ISSN 1860-5664 the SFB 649 "Economic Risk". "Economic the SFB649 SFB 6 4 9 E C O N O M I C R I S K B E R L I N Calibration Risk for Exotic Options K. Detlefsen and W. K. H¨ardle CASE - Center for Applied Statistics and Economics Humboldt-Universit¨atzu Berlin Wirtschaftswissenschaftliche Fakult¨at Spandauer Strasse 1, 10178 Berlin, Germany Abstract Option pricing models are calibrated to market data of plain vanil- las by minimization of an error functional. From the economic view- point, there are several possibilities to measure the error between the market and the model. These different specifications of the error give rise to different sets of calibrated model parameters and the resulting prices of exotic options vary significantly. These price differences often exceed the usual profit margin of exotic options. We provide evidence for this calibration risk in a time series of DAX implied volatility surfaces from April 2003 to March 2004. We analyze in the Heston and in the Bates model factors influencing these price differences of exotic options and finally recommend an error func- tional.
    [Show full text]
  • Für Strukturierte Produkte 2016
    für Strukturierte Produkte 2016 NR. 07 JAHRBUCH www.payoff.ch EDITORIAL Impulsiver Jahrgang So volatil und bewegt wie das Jahr 2015 zu Ende ging, so schwungvoll startete das neue Jahr 2016. Insbesondere der nur von wenigen Marktbeobachtern prognostizierte Absturz des Ölpreises sorgt zunehmend für Unruhe. Nach dem angekündigten Ende der über zwei Jahrzehnte geltenden Iran-Sanktionen fällt der Preis für ein Barrel Brent-Öl zeitweise unter 28 Dollar. Je tiefer der Ölpreis, desto grösser die Sorgenfalten vieler Marktteilnehmer. Grotesk, eigentlich sollte sich die Wirtschaft über tiefere Kosten freuen, doch zu viele Unternehmen in der Rohstoffbranche hängen am seidenen Faden, finanziert noch zu Zeiten, als der Ölpreis bedenkenlos hoch lag und Basismetalle noch ein weites Stück teurer waren. Banken und Kreditgeber bekommen zunehmend kalte Füsse. Im Umkehrschluss schiesst die Volatilität, gemessen am VSMI, VDAX und VIX, deutlich nach oben. Optionen und Derivate als Grundstein für Strukturierte Produkte bieten plötzlich wieder sehr interessante Möglichkeiten. Egal ob long oder short, der Struki-Baukasten ist en vogue. Zwar ist es noch etwas zu früh für seriöse Jahresprognosen, doch steht fest, dass die Schweiz nach wie vor in der globalen Liga für strukturierte Finanzprodukte auf dem ersten Platz rangiert und eine erstklas- sige Markt-Infrastruktur hat. Die Emittenten, Broker und die Börsenbetreiber, allen voran die SIX Swiss Exchange, tragen hieran einen verdienten Anteil. Doch kommt der Erfolg nicht von alleine: Über 2'000 Menschen sind börsentäglich mit und für die Entwicklung, Marketing, Platzierung und Abwicklung von Strukturierten Produkten in der Schweiz im Einsatz. Wir haben auch für die Jahrgangsreihe 2016 diese einzigartige Community porträ- tiert, analysiert und Stimmungsberichte zu relevanten Trends, wie beispielsweise die Structuring-Plattformen, destilliert.
    [Show full text]
  • Model Risk in the Pricing of Exotic Options
    Model Risk in the Pricing of Exotic Options Jacinto Marabel Romo∗ José Luis Crespo Espert† [email protected] [email protected] Abstract The growth experimented in recent years in both the variety and volume of structured products implies that banks and other financial institutions have become increasingly exposed to model risk. In this article we focus on the model risk associated with the local volatility (LV) model and with the Vari- ance Gamma (VG) model. The results show that the LV model performs better than the VG model in terms of its ability to match the market prices of European options. Nevertheless, both models are subject to significant pricing errors when compared with the stochastic volatility framework. Keywords: Model risk, exotic options, local volatility, stochastic volatil- ity, Variance Gamma process, path dependence. JEL: G12, G13. ∗BBVA and University Institute for Economic and Social Analysis, University of Alcalá (UAH). Mailing address: Vía de los Poblados s/n, 28033, Madrid, Spain. The content of this paper represents the author’s personal opinion and does not reflect the views of BBVA. †University of Alcalá (UAH) and University Institute for Economic and Social Analysis. Mail- ing address: Plaza de la Victoria, 2, 28802, Alcalá de Henares, Madrid, Spain. 1 Introduction In recent years there has been a remarkable growth of structured products with embedded exotic options. In this sense, the European Commission1 stated that the use of derivatives has grown exponentially over the last decade, with over-the- counter transactions being the main contributor to this growth. At the end of December 2009, the size of the over-the-counter derivatives market by notional value equaled approximately $615 trillion, a 12% increase with respect to the end of 2008.
    [Show full text]
  • A Few Insights Into Cliquet Options Tristan Guillaume
    A few insights into cliquet options Tristan Guillaume To cite this version: Tristan Guillaume. A few insights into cliquet options. International Journal of Business, 2012, 17 (2), pp.163-180. hal-00924287 HAL Id: hal-00924287 https://hal.archives-ouvertes.fr/hal-00924287 Submitted on 6 Jan 2014 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. A Few Insights Into Cliquet Options (published in International Journal of Business, 2012, vol. 17, n°. 2) Tristan Guillaume Université de Cergy-Pontoise, Laboratoire Thema, 33 boulevard du port, 95011 Cergy-Pontoise Cedex, France Tel. : + 33 6 12 22 45 88 Fax:+33134256233 [email protected] Abstract This paper deals with a subset of lookback options known as cliquet options. The latter lock in the best underlying asset price over a number of prespecified dates during the option life. The specific uses of these contracts are analyzed, as well as two different hedging techniques. Closed form valuation formulae are provided under standard assumptions. They are easy to implement, very efficient and accurate compared to Monte Carlo simulation approximations. Keywords Cliquet option - Lookback option - Option valuation - Option hedging - Numerical dimension 1 1 Introduction The term « cliquet option » is ambiguous.
    [Show full text]
  • RETAIL Structured Solutions. You Have a Right to Expect Stability and Excellence from Product Providers
    RETAIL STRUCTURED SOLUTIONS RETAIL Structured Solutions. You have a right to expect stability and excellence from product providers. Since 1995 we have managed all aspects of structured products. This is the expertise we bring to WE would reallY liKE to worK witH looking after over 250,000 customers. You and APPreciate Your FeedBacK. This is not a consumer advertisement. It is intended for professional financial advisers and should not be relied Our team are always on hand to talk to you about your needs, with a dedicated upon by private investors or any other persons. Structured Solutions team to support your strategy and future goals. We appreciate that turbulent markets have meant that professional investors such as yourselves are keener than ever to work with a stable, established company, who can offer you the assurance you need. CONTACT US Please contact your Legal & General representative or the Retail Structured Solutions team at [email protected]. Details of our latest products can be found at www.landgstructuredproducts.com This document should not be taken as an invitation to deal in any Legal & General investment including the stated investment. If investors cash in any or all of their investment early then they may get back less than they invest. Legal & General (Portfolio Management Services) Limited Registered in England No. 2457525 Registered office: One Coleman Street, London EC2R 5AA Authorised and regulated by the Financial Conduct Authority. CW4018 07/13 H142530 2 RETAIL STRUCTURED SOLUTIONS LEGal & General GrouP. Legal & General is a leading provider of risk, savings thriving and that Legal & General’s double-digit sales and investment management products in the UK.
    [Show full text]
  • Options Valuation. Ilya, Gikhman
    Munich Personal RePEc Archive Options valuation. ilya, gikhman 2005 Online at https://mpra.ub.uni-muenchen.de/1452/ MPRA Paper No. 1452, posted 14 Jan 2007 UTC Options valuation. Gikhman Ilya 6077 Ivy Woods Court Mason, OH 45040 ph: (513) 573 - 9348 e-mail: [email protected] Abstract. This paper deals with the option-pricing problem. In the first part of the paper we study in details the discrete setting of the option-pricing problem usually referred to as the binomial scheme. We highlight basic differences between the old and the new approaches. The main qualitative distinction of the new pricing approach from either binomial or Black Scholes’s is that it represents the option price as a stochastic process. This stochastic interpretation can not give straightforward advantage for an investor due to stochastic setting of the pricing problem. The new approach explicitly states that the options price is more risky than represented by binomial scheme or Black Scholes theory. To highlight the difference between stochastic and deterministic option price definitions note that if a deterministic value is interpreted as a perfect or fair price we can comment that the stochastic interpretation provides this number or any other with the probability that real world option value at maturity will be bellow chosen number. This probability is a pricing risk of the option. Thus with an investor’s motivation of the option pricing the stochastic approach gives information about the risk taking. The investor analyzing option price and corresponding risk makes a decision to purchase the option or not. Continuous setting will be considered in the second part of the paper following [1].
    [Show full text]
  • Analytical Finance Volume I
    The Mathematics of Equity Derivatives, Markets, Risk and Valuation ANALYTICAL FINANCE VOLUME I JAN R. M. RÖMAN Analytical Finance: Volume I Jan R. M. Röman Analytical Finance: Volume I The Mathematics of Equity Derivatives, Markets, Risk and Valuation Jan R. M. Röman Västerås, Sweden ISBN 978-3-319-34026-5 ISBN 978-3-319-34027-2 (eBook) DOI 10.1007/978-3-319-34027-2 Library of Congress Control Number: 2016956452 © The Editor(s) (if applicable) and The Author(s) 2017 This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Cover image © David Tipling Photo Library / Alamy Printed on acid-free paper This Palgrave Macmillan imprint is published by Springer Nature The registered company is Springer International Publishing AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland To my soulmate, supporter and love – Jing Fang Preface This book is based upon lecture notes, used and developed for the course Analytical Finance I at Mälardalen University in Sweden.
    [Show full text]