Foreign Exchange Options
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WHS FX Options Guide
Getting started with FX options WHS FX options guide Predict the trend in currency markets or hedge your positions with FX options. Refine your trading style and your market outlook. Learn how FX options work on the WHS trading environment. WH SELFINVEST Copyrigh 2007-2011: all rights attached to this guide are the sole property of WH SelfInvest S.A. Reproduction and/or transmission of this guide Est. 1998 by whatever means is not allowed without the explicit permission of WH SelfInvest. Disclaimer: this guide is purely informational in nature and can Luxemburg, France, Belgium, in no way be construed as a suggestion or proposal to invest in the financial instruments mentioned. Persons who do decide to invest in these Poland, Germany, Netherlands financial instruments acknowledge they do so solely based on their own decission and risks. Alle information contained in this guide comes from sources considered reliable. The accuracy of the information, however, is not guaranteed. Table of Content Global overview on FX Options Different strategies using FX Options Single Vanilla Vertical Strangle Straddle Risk Reversal Trading FX Options in WHSProStation Strategy settings Rules and Disclaimers FAQ Global overview on FX Options An FX option is a contract between a buyer and a seller for the What is an FX option? right to buy or sell an underlying currency pair at a specific price on a particular date. EUR/USD -10 Option Premium Option resulting in a short position 1.3500 - 1.3400 +100 PUT Strike Price – Current Market Price Overal trade Strike price +90 You believe EUR/USD will drop in the weeks to come. -
Dixit-Pindyck and Arrow-Fisher-Hanemann-Henry Option Concepts in a Finance Framework
Dixit-Pindyck and Arrow-Fisher-Hanemann-Henry Option Concepts in a Finance Framework January 12, 2015 Abstract We look at the debate on the equivalence of the Dixit-Pindyck (DP) and Arrow-Fisher- Hanemann-Henry (AFHH) option values. Casting the problem into a financial framework allows to disentangle the discussion without unnecessarily introducing new definitions. Instead, the option values can be easily translated to meaningful terms of financial option pricing. We find that the DP option value can easily be described as time-value of an American plain-vanilla option, while the AFHH option value is an exotic chooser option. Although the option values can be numerically equal, they differ for interesting, i.e. non-trivial investment decisions and benefit-cost analyses. We find that for applied work, compared to the Dixit-Pindyck value, the AFHH concept has only limited use. Keywords: Benefit cost analysis, irreversibility, option, quasi-option value, real option, uncertainty. Abbreviations: i.e.: id est; e.g.: exemplum gratia. 1 Introduction In the recent decades, the real options1 concept gained a large foothold in the strat- egy and investment literature, even more so with Dixit & Pindyck (1994)'s (DP) seminal volume on investment under uncertainty. In environmental economics, the importance of irreversibility has already been known since the contributions of Arrow & Fisher (1974), Henry (1974), and Hanemann (1989) (AFHH) on quasi-options. As Fisher (2000) notes, a unification of the two option concepts would have the benefit of applying the vast results of real option pricing in environmental issues. In his 1The term real option has been coined by Myers (1977). -
Analysis of Employee Stock Options and Guaranteed Withdrawal Benefits for Life by Premal Shah B
Analysis of Employee Stock Options and Guaranteed Withdrawal Benefits for Life by Premal Shah B. Tech. & M. Tech., Electrical Engineering (2003), Indian Institute of Technology (IIT) Bombay, Mumbai Submitted to the Sloan School of Management in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Operations Research at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY September 2008 c Massachusetts Institute of Technology 2008. All rights reserved. Author.............................................................. Sloan School of Management July 03, 2008 Certified by. Dimitris J. Bertsimas Boeing Professor of Operations Research Thesis Supervisor Accepted by . Cynthia Barnhart Professor Co-director, Operations Research Center 2 Analysis of Employee Stock Options and Guaranteed Withdrawal Benefits for Life by Premal Shah B. Tech. & M. Tech., Electrical Engineering (2003), Indian Institute of Technology (IIT) Bombay, Mumbai Submitted to the Sloan School of Management on July 03, 2008, in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Operations Research Abstract In this thesis we study three problems related to financial modeling. First, we study the problem of pricing Employee Stock Options (ESOs) from the point of view of the issuing company. Since an employee cannot trade or effectively hedge ESOs, she exercises them to maximize a subjective criterion of value. Modeling this exercise behavior is key to pricing ESOs. We argue that ESO exercises should not be modeled on a one by one basis, as is commonly done, but at a portfolio level because exercises related to different ESOs that an employee holds would be coupled. Using utility based models we also show that such coupled exercise behavior leads to lower average ESO costs for the commonly used utility functions such as power and exponential utilities. -
Sequential Compound Options and Investments Valuation
Sequential compound options and investments valuation Luigi Sereno Dottorato di Ricerca in Economia - XIX Ciclo - Alma Mater Studiorum - Università di Bologna Marzo 2007 Relatore: Prof. ssa Elettra Agliardi Coordinatore: Prof. Luca Lambertini Settore scienti…co-disciplinare: SECS-P/01 Economia Politica ii Contents I Sequential compound options and investments valua- tion 1 1 An overview 3 1.1 Introduction . 3 1.2 Literature review . 6 1.2.1 R&D as real options . 11 1.2.2 Exotic Options . 12 1.3 An example . 17 1.3.1 Value of expansion opportunities . 18 1.3.2 Value with abandonment option . 23 1.3.3 Value with temporary suspension . 26 1.4 Real option modelling with jump processes . 31 1.4.1 Introduction . 31 1.4.2 Merton’sapproach . 33 1.4.3 Further reading . 36 1.5 Real option and game theory . 41 1.5.1 Introduction . 41 1.5.2 Grenadier’smodel . 42 iii iv CONTENTS 1.5.3 Further reading . 45 1.6 Final remark . 48 II The valuation of new ventures 59 2 61 2.1 Introduction . 61 2.2 Literature Review . 63 2.2.1 Flexibility of Multiple Compound Real Options . 65 2.3 Model and Assumptions . 68 2.3.1 Value of the Option to Continuously Shut - Down . 69 2.4 An extension . 74 2.4.1 The mathematical problem and solution . 75 2.5 Implementation of the approach . 80 2.5.1 Numerical results . 82 2.6 Final remarks . 86 III Valuing R&D investments with a jump-di¤usion process 93 3 95 3.1 Introduction . -
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. -
Do Options-Implied RND Functions on G3 Currencies Move Around the Times of Interventions on the JPY/USD Exchange Rate? by O
WORKING PAPER SERIES NO. 410 / NOVEMBER 2004 DO OPTIONS- IMPLIED RND FUNCTIONS ON G3 CURRENCIES MOVE AROUND THE TIMES OF INTERVENTIONS ON THE JPY/USD EXCHANGE RATE? by Olli Castrén WORKING PAPER SERIES NO. 410 / NOVEMBER 2004 DO OPTIONS- IMPLIED RND FUNCTIONS ON G3 CURRENCIES MOVE AROUND THE TIMES OF INTERVENTIONS ON THE JPY/USD EXCHANGE RATE? 1 by Olli Castrén 2 In 2004 all publications will carry This paper can be downloaded without charge from a motif taken http://www.ecb.int or from the Social Science Research Network from the €100 banknote. electronic library at http://ssrn.com/abstract_id=601030. 1 Comments by Kathryn Dominguez, Gabriele Galati, Stelios Makrydakis, Filippo di Mauro,Takatoshi Ito and participants of internal ECB seminars are gratefully acknowledged.All opinions expressed in this paper are those of the author only and not those of the European Central Bank or the European System of Central Banks. 2 DG Economics, European Central Bank, Kaiserstrasse 29, D-60311 Frankfurt am Main, Germany; e-mail: [email protected] © European Central Bank, 2004 Address Kaiserstrasse 29 60311 Frankfurt am Main, Germany Postal address Postfach 16 03 19 60066 Frankfurt am Main, Germany Telephone +49 69 1344 0 Internet http://www.ecb.int Fax +49 69 1344 6000 Telex 411 144 ecb d All rights reserved. Reproduction for educational and non- commercial purposes is permitted provided that the source is acknowledged. The views expressed in this paper do not necessarily reflect those of the European Central Bank. The statement of purpose for the ECB Working Paper Series is available from the ECB website, http://www.ecb.int. -
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. -
Consolidated Financial Statements for the Year Ended 31 December 2017 Azimut Holding S.P.A
Consolidated financial statements for the year ended 31 december 2017 Azimut Holding S.p.A. Consolidated financial statements for the year ended 31 december 2017 Azimut Holding S.p.A. 4 Gruppo Azimut Contents Company bodies 7 Azimut group's structure 8 Main indicators 10 Management report 13 Baseline scenario 15 Significant events of the year 19 Azimut Group's financial performance for 2017 25 Main balance sheet figures 28 Information about main Azimut Group companies 32 Key risks and uncertainties 36 Related-party transactions 40 Organisational structure and corporate governance 40 Human resources 40 Research and development 41 Significant events after the reporting date 41 Business outlook 42 Non-financial disclosure 43 Consolidated financial statements 75 Consolidated balance sheet 76 Consolidated income statement 78 Consolidated statement of comprehensive income 79 Consolidated statement of changes in shareholders' equity 80 Consolidated cash flow statement 84 Notes to the consolidated financial statements 87 Part A - Accounting policies 89 Part B - Notes to the consolidated balance sheet 118 Part C - Notes to the consolidated income statement 147 Part D - Other information 159 Certification of the consolidated financial statements 170 5 6 Gruppo Azimut Company bodies Board of Directors Pietro Giuliani Chairman Sergio Albarelli Chief Executive Officer Paolo Martini Co-Managing Director Andrea Aliberti Director Alessandro Zambotti (*) Director Marzio Zocca Director Gerardo Tribuzio (**) Director Susanna Cerini (**) Director Raffaella Pagani Director Antonio Andrea Monari Director Anna Maria Bortolotti Director Renata Ricotti (***) Director Board of Statutory Auditors Vittorio Rocchetti Chairman Costanza Bonelli Standing Auditor Daniele Carlo Trivi Standing Auditor Maria Catalano Alternate Auditor Luca Giovanni Bonanno Alternate Auditor Independent Auditors PricewaterhouseCoopers S.p.A. -
Delta and Vega Hedging in the SABR and LMM-SABR Models
CUTTING EDGE. INTEREST RATE DERIVATIVES Delta and vega hedging in the SABR and LMM-SABR models T Riccardo Rebonato, Andrey Pogudin and Richard d t T T T dwt (2) White examine the hedging performance of the SABR t and LMM-SABR models using real market data. As a Q T E dzT dwT T dt (3) by-product, they gain indirect evidence about how well t t specified the two models are. The results are extremely The LMM-SABR model extension by Rebonato (2007) posits the following joint dynamics for the forward rates and their instanta- encouraging in both respects neous volatilities: q M i i i i dft idt ft t eijdz j , i 1, N (4) j1 model (Hagan et al, 2002) has become a market i i t gt,Ti kt (5) The SABR standard for quoting the prices of plain vanilla options. Its main claim to being better than other models capable i M dk k i t =μ i + = + × of recovering exactly the smile surface (see, for example, the local t dt ht ∑ eijdz j , i N 1, 2 N (6) k i volatility model of Dupire, 1994, and Derman & Kani, 1996) is t j=1 its ability to provide better hedging (Hagan et al, 2002, Rebon- with: ato, 2004, and Piterbarg, 2005). M = N + N (7) The status of market standard for plain vanilla options enjoyed V F by the SABR model is similar to the status enjoyed by the Black NV and NF are the number of factors driving the forward rate and formula in the pre-smile days. -
Equity Derivatives Neil C Schofield Equity Derivatives
Equity Derivatives Neil C Schofield Equity Derivatives Corporate and Institutional Applications Neil C Schofield Verwood, Dorset, United Kingdom ISBN 978-0-230-39106-2 ISBN 978-0-230-39107-9 (eBook) DOI 10.1057/978-0-230-39107-9 Library of Congress Control Number: 2016958283 © The Editor(s) (if applicable) and The Author(s) 2017 The author(s) has/have asserted their right(s) to be identified as the author(s) of this work in accordance with the Copyright, Designs and Patents Act 1988. 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 informa- tion 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. -
Pricing Credit from Equity Options
Pricing Credit from Equity Options Kirill Ilinski, Debt-Equity Relative Value Solutions, JPMorgan Chase∗ December 22, 2003 Theoretical arguments and anecdotal evidence suggest a strong link between credit qual- ity of a particular name and its equity-related characteristics, such as share price and implied volatility. In this paper we develop a novel approach to pricing and hedging credit derivatives with equity options and demonstrate the predictive power of the model. 1 Introduction Exploring the link between debt and equity asset classes has been and still is a subject of considerable interest among researchers and practitioners. The largest interest had been among market participants that dealt in cross asset products like convertible bonds and hybrid exotic options but also among those that are trading equity options and credit derivatives. Easy access to structural models (CreditGrades, KMV), their intuitive appeal and simple calibration enabled a historical analysis of credit market implied by equity parameterisation. Arbitrageurs are setting up trading strategies in an attempt to exploit eventual large discrepancies in credit risk assessment between two asset classes. In what follows we will present a new market model for pricing binary CDS using implied volatility extracted from equity option market instruments. We will show that the arbitrage relationship derived in this paper can be enforced via dynamic hedging with Gamma-flat risk reversals. In this framework the recovery rate is an external uncertain parameter which cannot be extracted from equity-related instrument and is defined by the debt structure of a particular company. In trading the arbitrage- related strategies, arbitrageurs have to have a view on the recovery or use analysts estimates to form their own conservative assumptions. -
Consolidated Policy on Valuation Adjustments Global Capital Markets
Global Consolidated Policy on Valuation Adjustments Consolidated Policy on Valuation Adjustments Global Capital Markets September 2008 Version Number 2.35 Dilan Abeyratne, Emilie Pons, William Lee, Scott Goswami, Jerry Shi Author(s) Release Date September lOth 2008 Page 1 of98 CONFIDENTIAL TREATMENT REQUESTED BY BARCLAYS LBEX-BARFID 0011765 Global Consolidated Policy on Valuation Adjustments Version Control ............................................................................................................................. 9 4.10.4 Updated Bid-Offer Delta: ABS Credit SpreadDelta................................................................ lO Commodities for YH. Bid offer delta and vega .................................................................................. 10 Updated Muni section ........................................................................................................................... 10 Updated Section 13 ............................................................................................................................... 10 Deleted Section 20 ................................................................................................................................ 10 Added EMG Bid offer and updated London rates for all traded migrated out oflens ....................... 10 Europe Rates update ............................................................................................................................. 10 Europe Rates update continue .............................................................................................................