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Tracking and Trading Volatility 155
ffirs.qxd 9/12/06 2:37 PM Page i The Index Trading Course Workbook www.rasabourse.com ffirs.qxd 9/12/06 2:37 PM Page ii Founded in 1807, John Wiley & Sons is the oldest independent publishing company in the United States. With offices in North America, Europe, Aus- tralia, and Asia, Wiley is globally committed to developing and marketing print and electronic products and services for our customers’ professional and personal knowledge and understanding. The Wiley Trading series features books by traders who have survived the market’s ever changing temperament and have prospered—some by reinventing systems, others by getting back to basics. Whether a novice trader, professional, or somewhere in-between, these books will provide the advice and strategies needed to prosper today and well into the future. For a list of available titles, visit our web site at www.WileyFinance.com. www.rasabourse.com ffirs.qxd 9/12/06 2:37 PM Page iii The Index Trading Course Workbook Step-by-Step Exercises and Tests to Help You Master The Index Trading Course GEORGE A. FONTANILLS TOM GENTILE John Wiley & Sons, Inc. www.rasabourse.com ffirs.qxd 9/12/06 2:37 PM Page iv Copyright © 2006 by George A. Fontanills, Tom Gentile, and Richard Cawood. All rights reserved. Published by John Wiley & Sons, Inc., Hoboken, New Jersey. Published simultaneously in Canada. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning, or otherwise, except as permitted under Section 107 or 108 of the 1976 United States Copyright Act, without either the prior written permission of the Publisher, or authorization through payment of the appropriate per-copy fee to the Copyright Clearance Center, Inc., 222 Rosewood Drive, Danvers, MA 01923, (978) 750-8400, fax (978) 646-8600, or on the web at www.copyright.com. -
Are Defensive Stocks Expensive? a Closer Look at Value Spreads
Are Defensive Stocks Expensive? A Closer Look at Value Spreads Antti Ilmanen, Ph.D. November 2015 Principal For several years, many investors have been concerned about the apparent rich valuation of Lars N. Nielsen defensive stocks. We analyze the prices of these Principal stocks using value spreads and find that they are not particularly expensive today. Swati Chandra, CFA Vice President Moreover, valuations may have limited efficacy in predicting strategy returns. This piece lends insight into possible reasons by focusing on the contemporaneous relation (i.e., how changes in value spreads are related to returns over the same period). We highlight a puzzling case where a defensive long/short strategy performed well during a recent two- year period when its value spread normalized from abnormally rich levels. For most asset classes, cheapening valuations coincide with poor performance. However, this relationship turns out to be weaker for long/short factor portfolios where several mechanisms can loosen the presumed strong link between value spread changes and strategy returns. Such wedges include changing fundamentals, evolving positions, carry and beta mismatches. Overall, investors should be cognizant of the tenuous link between value spreads and returns. We thank Gregor Andrade, Cliff Asness, Jordan Brooks, Andrea Frazzini, Jacques Friedman, Jeremy Getson, Ronen Israel, Sarah Jiang, David Kabiller, Michael Katz, AQR Capital Management, LLC Hoon Kim, John Liew, Thomas Maloney, Lasse Pedersen, Lukasz Pomorski, Scott Two Greenwich Plaza Richardson, Rodney Sullivan, Ashwin Thapar and David Zhang for helpful discussions Greenwich, CT 06830 and comments. p: +1.203.742.3600 f: +1.203.742.3100 w: aqr.com Are Defensive Stocks Expensive? A Closer Look at Value Spreads 1 Introduction puzzling result — buying a rich investment, seeing it cheapen, and yet making money — in Are defensive stocks expensive? Yes, mildly, more detail below. -
Evidence from SME Bond Markets
Temi di discussione (Working Papers) Asymmetric information in corporate lending: evidence from SME bond markets by Alessandra Iannamorelli, Stefano Nobili, Antonio Scalia and Luana Zaccaria September 2020 September Number 1292 Temi di discussione (Working Papers) Asymmetric information in corporate lending: evidence from SME bond markets by Alessandra Iannamorelli, Stefano Nobili, Antonio Scalia and Luana Zaccaria Number 1292 - September 2020 The papers published in the Temi di discussione series describe preliminary results and are made available to the public to encourage discussion and elicit comments. The views expressed in the articles are those of the authors and do not involve the responsibility of the Bank. Editorial Board: Federico Cingano, Marianna Riggi, Monica Andini, Audinga Baltrunaite, Marco Bottone, Davide Delle Monache, Sara Formai, Francesco Franceschi, Salvatore Lo Bello, Juho Taneli Makinen, Luca Metelli, Mario Pietrunti, Marco Savegnago. Editorial Assistants: Alessandra Giammarco, Roberto Marano. ISSN 1594-7939 (print) ISSN 2281-3950 (online) Printed by the Printing and Publishing Division of the Bank of Italy ASYMMETRIC INFORMATION IN CORPORATE LENDING: EVIDENCE FROM SME BOND MARKETS by Alessandra Iannamorelli†, Stefano Nobili†, Antonio Scalia† and Luana Zaccaria‡ Abstract Using a comprehensive dataset of Italian SMEs, we find that differences between private and public information on creditworthiness affect firms’ decisions to issue debt securities. Surprisingly, our evidence supports positive (rather than adverse) selection. Holding public information constant, firms with better private fundamentals are more likely to access bond markets. Additionally, credit conditions improve for issuers following the bond placement, compared with a matched sample of non-issuers. These results are consistent with a model where banks offer more flexibility than markets during financial distress and firms may use market lending to signal credit quality to outside stakeholders. -
307439 Ferdig Master Thesis
Master's Thesis Using Derivatives And Structured Products To Enhance Investment Performance In A Low-Yielding Environment - COPENHAGEN BUSINESS SCHOOL - MSc Finance And Investments Maria Gjelsvik Berg P˚al-AndreasIversen Supervisor: Søren Plesner Date Of Submission: 28.04.2017 Characters (Ink. Space): 189.349 Pages: 114 ABSTRACT This paper provides an investigation of retail investors' possibility to enhance their investment performance in a low-yielding environment by using derivatives. The current low-yielding financial market makes safe investments in traditional vehicles, such as money market funds and safe bonds, close to zero- or even negative-yielding. Some retail investors are therefore in need of alternative investment vehicles that can enhance their performance. By conducting Monte Carlo simulations and difference in mean testing, we test for enhancement in performance for investors using option strategies, relative to investors investing in the S&P 500 index. This paper contributes to previous papers by emphasizing the downside risk and asymmetry in return distributions to a larger extent. We find several option strategies to outperform the benchmark, implying that performance enhancement is achievable by trading derivatives. The result is however strongly dependent on the investors' ability to choose the right option strategy, both in terms of correctly anticipated market movements and the net premium received or paid to enter the strategy. 1 Contents Chapter 1 - Introduction4 Problem Statement................................6 Methodology...................................7 Limitations....................................7 Literature Review.................................8 Structure..................................... 12 Chapter 2 - Theory 14 Low-Yielding Environment............................ 14 How Are People Affected By A Low-Yield Environment?........ 16 Low-Yield Environment's Impact On The Stock Market........ -
The Promise and Peril of Real Options
1 The Promise and Peril of Real Options Aswath Damodaran Stern School of Business 44 West Fourth Street New York, NY 10012 [email protected] 2 Abstract In recent years, practitioners and academics have made the argument that traditional discounted cash flow models do a poor job of capturing the value of the options embedded in many corporate actions. They have noted that these options need to be not only considered explicitly and valued, but also that the value of these options can be substantial. In fact, many investments and acquisitions that would not be justifiable otherwise will be value enhancing, if the options embedded in them are considered. In this paper, we examine the merits of this argument. While it is certainly true that there are options embedded in many actions, we consider the conditions that have to be met for these options to have value. We also develop a series of applied examples, where we attempt to value these options and consider the effect on investment, financing and valuation decisions. 3 In finance, the discounted cash flow model operates as the basic framework for most analysis. In investment analysis, for instance, the conventional view is that the net present value of a project is the measure of the value that it will add to the firm taking it. Thus, investing in a positive (negative) net present value project will increase (decrease) value. In capital structure decisions, a financing mix that minimizes the cost of capital, without impairing operating cash flows, increases firm value and is therefore viewed as the optimal mix. -
A Glossary of Securities and Financial Terms
A Glossary of Securities and Financial Terms (English to Traditional Chinese) 9-times Restriction Rule 九倍限制規則 24-spread rule 24 個價位規則 1 A AAAC see Academic and Accreditation Advisory Committee【SFC】 ABS see asset-backed securities ACCA see Association of Chartered Certified Accountants, The ACG see Asia-Pacific Central Securities Depository Group ACIHK see ACI-The Financial Markets of Hong Kong ADB see Asian Development Bank ADR see American depositary receipt AFTA see ASEAN Free Trade Area AGM see annual general meeting AIB see Audit Investigation Board AIM see Alternative Investment Market【UK】 AIMR see Association for Investment Management and Research AMCHAM see American Chamber of Commerce AMEX see American Stock Exchange AMS see Automatic Order Matching and Execution System AMS/2 see Automatic Order Matching and Execution System / Second Generation AMS/3 see Automatic Order Matching and Execution System / Third Generation ANNA see Association of National Numbering Agencies AOI see All Ordinaries Index AOSEF see Asian and Oceanian Stock Exchanges Federation APEC see Asia Pacific Economic Cooperation API see Application Programming Interface APRC see Asia Pacific Regional Committee of IOSCO ARM see adjustable rate mortgage ASAC see Asian Securities' Analysts Council ASC see Accounting Society of China 2 ASEAN see Association of South-East Asian Nations ASIC see Australian Securities and Investments Commission AST system see automated screen trading system ASX see Australian Stock Exchange ATI see Account Transfer Instruction ABF Hong -
Pricing and Hedging of American Knock-In Options
Pricing and Hedging of American Knock-In Options FARID AITSAHLIA, LORENS IMHOF, AND TZE LEUNG LAI FARID AITSAHLIA American barrier options of the knock-in type involve as they do not have closed-form solutions, is a senior scientist at non-Markouian optimal stopping problems for early unlike their European-style counterparts (see DemandTec in Stanford, CA. exercise. They therefore cannot be priced via stan- Merton [1973] and Rubinstein and Reiner farid @stat.stanford.edu dard methods such as binomial or trinomial trees [1991]). LORENS IMHOF and finite-difference schemes for free-boundary par- Naive application of the Cox-Ross- is an assistant professor at tial differential equations. Rubinstein binomial tree method for barrier Institut ftir Statistik und options has been shown by Boyle and Lau Wirtschaftsniathematik in This article provides a modified tree method to [1994] to yield inaccurate values, even with Aachen, Germany. price these options. It also develops fast and accu- many steps. To address this problem, which [email protected] rate analytic approximations for the price and hedge stems from the position of the barrier relative TZE LEUNG LAI parameters. to the grid, a number of variants of the tree is a professor of statistics at method have been advanced. Stanford University. omplex derivatives have become Ritchken [1995] implements a trinomial [email protected] accepted instruments to tailor risk tree method. Cheuk and Vorst [1996| develop coverage for risk managers and a time-dependent shift for the trinomial tree, Cinvestors. Barrier-type options and Figlewski and Gao [1999[ introduce an have become important instruments, particu- adaptive mesh model that grafts high-resolution larly for the valuation of structured products lattices around points that cause the inaccuracies (see Banks [1994]). -
Copyrighted Material
Index Above par 8 Bear spread 169 Accounting for dividends 88–90 Below par 8 Agreements 1, 2, 8, 34–41, 199, 321 Bermudan option 151 American option 151, 155–6 Bermudan swaption 195 early exercise boundary 156–8, 224 ‘Best of’ option 209 pricing 158–9 Beta, volatility Annual bond 23 estimation 357–9 Annual compounding factor 5 mapping 356–7 Annual coupons 10 Binary option 152, 214 Annual equivalent yield 29 Binomial option pricing model 138, 148–51 Annual rate 3 Binomial tree 148, 244 Arbitrage pricing 82, 87–8, 92–3, 144, 224 BIS Quarterly Review 73 Arbitrageurs 87 Bivariate GARCH model 262 Arithmetic Brownian motion 139, 141, 291 Black-Scholes-Merton (BSM) formula 137, Arithmetic process 18 139, 173, 176, 179 Asian option 208, 221–4 Black-Scholes-Merton (BSM) model 173–85 Asset management, factor models in 326 assumptions 174 Asset-or-nothing option 152 implied volatility 183, 231–42 ATM option 154, 155, 184, 190, 238, 239, interpretation of formula 180–3 240, 318 partial differentiatial equation (PDE) 139, At par 8 175–6 At-the-money (ATM) option 154, 155, 18, prices adjusted for stochastic volatility 190, 238, 240, 318 http://www.pbookshop.com183–5 Average price option 208, 222–4 pricing formula 178–80 Average strike option 208, 221–4 underlying contract 176–8 Black–Scholes–Merton Greeks 186–93 Bank of England forward rate curves 57–8 delta 187–8 Banking book 1, 47 gamma 189–90 Barrier option 152,COPYRIGHTED 219–21 static MATERIAL hedges for standard European options Base rate 8 193–4 Basis 68, 95 theta and rho 188–9 commodity 100–1 -
Barrier Options Under Lévy Processes: a Short-Cut Arxiv
Barrier Options under L´evyProcesses: a Short-Cut Jos´eFajardo∗ November 7, 2018 Abstract In this paper we present a simple way to price a class of barrier options when the underlying process is driven by a huge class of L´evy processes. To achieve our goal we assume that our market satisfies a symmetry property. In case of not satisfying that property some approximations and relationships can be obtained. Keywords: Barrier Options; L´evyProcesses; Implied volatility; Mar- ket Symmetry. JEL Classification: C52; G10 1 Introduction Recently, the relationship between the implied volatility symmetry and other symmetry concepts has been established, as Fajardo and Mordecki (2006) have shown for L´evyprocess and Carr and Lee (2009) have shown for lo- arXiv:1303.6340v3 [q-fin.PR] 6 May 2013 cal/stochastic volatility models and time-changed L´evyprocesses. Also, Fa- jardo and Mordecki (2012) have studied the relationship of symmetry prop- erties with the skewness premium. Moreover, it is known that important applications, such as the construction of semi-static hedges for exotic options can be obtained, as Carr, Ellis, and Gupta (1998) and Carr and Lee (2009) ∗Brazilian School of Public and Business Administration, Getulio Vargas Founda- tion, Praia de Botafogo 190, 22253 900 - Rio de Janeiro, RJ, Brazil. E-mail address: [email protected] 1 have shown, and its extension to multivariate derivatives due to Molchanov and Schmutz (2010). The importance of such symmetry properties have demanded the analysis of conditions to verify what kind of underlying processes satisfy such prop- erties, as Carr and Lee (2009), Fajardo and Mordecki (2008), Fajardo and Mordecki (2010) and Tehranchi (2009) results have shown. -
Problem Set 2 Collars
In-Class: 2 Course: M339D/M389D - Intro to Financial Math Page: 1 of 7 University of Texas at Austin Problem Set 2 Collars. Ratio spreads. Box spreads. 2.1. Collars in hedging. Definition 2.1. A collar is a financial position consiting of the purchase of a put option, and the sale of a call option with a higher strike price, with both options having the same underlying asset and having the same expiration date Problem 2.1. Sample FM (Derivatives Markets): Problem #3. Happy Jalape~nos,LLC has an exclusive contract to supply jalape~nopeppers to the organizers of the annual jalape~noeating contest. The contract states that the contest organizers will take delivery of 10,000 jalape~nosin one year at the market price. It will cost Happy Jalape~nos1,000 to provide 10,000 jalape~nos and today's market price is 0.12 for one jalape~no. The continuously compounded risk-free interest rate is 6%. Happy Jalape~noshas decided to hedge as follows (both options are one year, European): (1) buy 10,000 0.12-strike put options for 84.30, and (2) sell 10,000 0.14-strike call options for 74.80. Happy Jalape~nosbelieves the market price in one year will be somewhere between 0.10 and 0.15 per pepper. Which interval represents the range of possible profit one year from now for Happy Jalape~nos? A. 200 to 100 B. 110 to 190 C. 100 to 200 D. 190 to 390 E. 200 to 400 Solution: First, let's see what position the Happy Jalape~nosis in before the hedging takes place. -
EQUITY DERIVATIVES Faqs
NATIONAL INSTITUTE OF SECURITIES MARKETS SCHOOL FOR SECURITIES EDUCATION EQUITY DERIVATIVES Frequently Asked Questions (FAQs) Authors: NISM PGDM 2019-21 Batch Students: Abhilash Rathod Akash Sherry Akhilesh Krishnan Devansh Sharma Jyotsna Gupta Malaya Mohapatra Prahlad Arora Rajesh Gouda Rujuta Tamhankar Shreya Iyer Shubham Gurtu Vansh Agarwal Faculty Guide: Ritesh Nandwani, Program Director, PGDM, NISM Table of Contents Sr. Question Topic Page No No. Numbers 1 Introduction to Derivatives 1-16 2 2 Understanding Futures & Forwards 17-42 9 3 Understanding Options 43-66 20 4 Option Properties 66-90 29 5 Options Pricing & Valuation 91-95 39 6 Derivatives Applications 96-125 44 7 Options Trading Strategies 126-271 53 8 Risks involved in Derivatives trading 272-282 86 Trading, Margin requirements & 9 283-329 90 Position Limits in India 10 Clearing & Settlement in India 330-345 105 Annexures : Key Statistics & Trends - 113 1 | P a g e I. INTRODUCTION TO DERIVATIVES 1. What are Derivatives? Ans. A Derivative is a financial instrument whose value is derived from the value of an underlying asset. The underlying asset can be equity shares or index, precious metals, commodities, currencies, interest rates etc. A derivative instrument does not have any independent value. Its value is always dependent on the underlying assets. Derivatives can be used either to minimize risk (hedging) or assume risk with the expectation of some positive pay-off or reward (speculation). 2. What are some common types of Derivatives? Ans. The following are some common types of derivatives: a) Forwards b) Futures c) Options d) Swaps 3. What is Forward? A forward is a contractual agreement between two parties to buy/sell an underlying asset at a future date for a particular price that is pre‐decided on the date of contract. -
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.