Derivatives Essentials an Introduction to Forwards, Futures, Options and Swaps.Pdf
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Shadow Banking
Federal Reserve Bank of New York Staff Reports Shadow Banking Zoltan Pozsar Tobias Adrian Adam Ashcraft Hayley Boesky Staff Report No. 458 July 2010 Revised February 2012 FRBNY Staff REPORTS This paper presents preliminary findings and is being distributed to economists and other interested readers solely to stimulate discussion and elicit comments. The views expressed in this paper are those of the authors and are not necessar- ily reflective of views at the Federal Reserve Bank of New York or the Federal Reserve System. Any errors or omissions are the responsibility of the authors. Shadow Banking Zoltan Pozsar, Tobias Adrian, Adam Ashcraft, and Hayley Boesky Federal Reserve Bank of New York Staff Reports, no. 458 July 2010: revised February 2012 JEL classification: G20, G28, G01 Abstract The rapid growth of the market-based financial system since the mid-1980s changed the nature of financial intermediation. Within the market-based financial system, “shadow banks” have served a critical role. Shadow banks are financial intermediaries that con- duct maturity, credit, and liquidity transformation without explicit access to central bank liquidity or public sector credit guarantees. Examples of shadow banks include finance companies, asset-backed commercial paper (ABCP) conduits, structured investment vehicles (SIVs), credit hedge funds, money market mutual funds, securities lenders, limited-purpose finance companies (LPFCs), and the government-sponsored enterprises (GSEs). Our paper documents the institutional features of shadow banks, discusses their economic roles, and analyzes their relation to the traditional banking system. Our de- scription and taxonomy of shadow bank entities and shadow bank activities are accom- panied by “shadow banking maps” that schematically represent the funding flows of the shadow banking system. -
Users/Robertjfrey/Documents/Work
AMS 511.01 - Foundations Class 11A Robert J. Frey Research Professor Stony Brook University, Applied Mathematics and Statistics [email protected] http://www.ams.sunysb.edu/~frey/ In this lecture we will cover the pricing and use of derivative securities, covering Chapters 10 and 12 in Luenberger’s text. April, 2007 1. The Binomial Option Pricing Model 1.1 – General Single Step Solution The geometric binomial model has many advantages. First, over a reasonable number of steps it represents a surprisingly realistic model of price dynamics. Second, the state price equations at each step can be expressed in a form indpendent of S(t) and those equations are simple enough to solve in closed form. 1+r D-1 u 1 1 + r D 1 + r D y y ÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅ = u fl u = 1+r D u-1 u 1+r-u 1 u 1 u yd yd ÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅ1+r D ÅÅÅÅÅÅÅÅ1 uêÅÅÅÅ-ÅÅÅÅu ÅÅ H L H ê L i y As we will see shortlyH weL Hwill solveL the general problemj by solving a zsequence of single step problems on the lattice. That K O K O K O K O j H L H ê L z sequence solutions can be efficientlyê computed because wej only have to zsolve for the state prices once. k { 1.2 – Valuing an Option with One Period to Expiration Let the current value of a stock be S(t) = 105 and let there be a call option with unknown price C(t) on the stock with a strike price of 100 that expires the next three month period. -
International Harmonization of Reporting for Financial Securities
International Harmonization of Reporting for Financial Securities Authors Dr. Jiri Strouhal Dr. Carmen Bonaci Editor Prof. Nikos Mastorakis Published by WSEAS Press ISBN: 9781-61804-008-4 www.wseas.org International Harmonization of Reporting for Financial Securities Published by WSEAS Press www.wseas.org Copyright © 2011, by WSEAS Press All the copyright of the present book belongs to the World Scientific and Engineering Academy and Society Press. All rights reserved. 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, or otherwise, without the prior written permission of the Editor of World Scientific and Engineering Academy and Society Press. All papers of the present volume were peer reviewed by two independent reviewers. Acceptance was granted when both reviewers' recommendations were positive. See also: http://www.worldses.org/review/index.html ISBN: 9781-61804-008-4 World Scientific and Engineering Academy and Society Preface Dear readers, This publication is devoted to problems of financial reporting for financial instruments. This branch is among academicians and practitioners widely discussed topic. It is mainly caused due to current developments in financial engineering, while accounting standard setters still lag. Moreover measurement based on fair value approach – popular phenomenon of last decades – brings to accounting entities considerable problems. The text is clearly divided into four chapters. The introductory part is devoted to the theoretical background for the measurement and reporting of financial securities and derivative contracts. The second chapter focuses on reporting of equity and debt securities. There are outlined the theoretical bases for the measurement, and accounting treatment for selected portfolios of financial securities. -
Form 6781 Contracts and Straddles ▶ Go to for the Latest Information
Gains and Losses From Section 1256 OMB No. 1545-0644 Form 6781 Contracts and Straddles ▶ Go to www.irs.gov/Form6781 for the latest information. 2020 Department of the Treasury Attachment Internal Revenue Service ▶ Attach to your tax return. Sequence No. 82 Name(s) shown on tax return Identifying number Check all applicable boxes. A Mixed straddle election C Mixed straddle account election See instructions. B Straddle-by-straddle identification election D Net section 1256 contracts loss election Part I Section 1256 Contracts Marked to Market (a) Identification of account (b) (Loss) (c) Gain 1 2 Add the amounts on line 1 in columns (b) and (c) . 2 ( ) 3 Net gain or (loss). Combine line 2, columns (b) and (c) . 3 4 Form 1099-B adjustments. See instructions and attach statement . 4 5 Combine lines 3 and 4 . 5 Note: If line 5 shows a net gain, skip line 6 and enter the gain on line 7. Partnerships and S corporations, see instructions. 6 If you have a net section 1256 contracts loss and checked box D above, enter the amount of loss to be carried back. Enter the loss as a positive number. If you didn’t check box D, enter -0- . 6 7 Combine lines 5 and 6 . 7 8 Short-term capital gain or (loss). Multiply line 7 by 40% (0.40). Enter here and include on line 4 of Schedule D or on Form 8949. See instructions . 8 9 Long-term capital gain or (loss). Multiply line 7 by 60% (0.60). Enter here and include on line 11 of Schedule D or on Form 8949. -
Credit Derivatives in Managing Off Balance Sheet Risks by Banks
City University Business School MSc in Finance 2001 Credit Derivatives in Managing Off Balance Sheet Risks by Banks Submitted by Murat Cakir Supervisor: Giorgio S. Questa This project is submitted as part of the requirements for the award of the MSc in Finance. July 2001 ABSTRACT Credit risk has been a worrying type of risk for financial managers. Fortunately, a recent market development –credit derivatives- has made the credit risk more manageable. The loan portfolio management has become more practicable than it used to be in the past. However, credit derivatives are still not well examined. There are uncertainties about and difficulties in the pricing and portfolio management of credit derivatives due to the non-normality in probability distribution of credit risk. Various models have been developed for credit derivatives pricing. After having drawn the general picture for the credit derivatives, we have studied some recent pricing models in a Das (1999) framework, in this study. Also appended is a an attempt to a step forward for simulating the risk-free rates and spreads, to test how powerful simulation can be in modeling the credit risk and pricing of it. Moreover, with highly developed computer technology, it is possible to make sensitivity analysis under several scenarios, to form imaginary loan portfolios, find their risk exposures, and perform a successful risk management practice. COPYRIGHT MURAT ÇAKIR Central Bank of the Republic of Turkey. All rights reserved. No part of this work 2 may be reproduced, stored in a retrieval system, transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, scanning or otherwise, except formal use of reference to the author without the written permission thereof Acknowledgements I am deeply grateful to my supervisor Mr. -
Put/Call Parity
Execution * Research 141 W. Jackson Blvd. 1220A Chicago, IL 60604 Consulting * Asset Management The grain markets had an extremely volatile day today, and with the wheat market locked limit, many traders and customers have questions on how to figure out the futures price of the underlying commodities via the options market - Or the synthetic value of the futures. Below is an educational piece that should help brokers, traders, and customers find that synthetic value using the options markets. Any questions please do not hesitate to call us. Best Regards, Linn Group Management PUT/CALL PARITY Despite what sometimes seems like utter chaos and mayhem, options markets are in fact, orderly and uniform. There are some basic and easy to understand concepts that are essential to understanding the marketplace. The first and most important option concept is called put/call parity . This is simply the relationship between the underlying contract and the same strike, put and call. The formula is: Call price – put price + strike price = future price* Therefore, if one knows any two of the inputs, the third can be calculated. This triangular relationship is the cornerstone of understanding how options work and is true across the whole range of out of the money and in the money strikes. * To simplify the formula we have assumed no dividends, no early exercise, interest rate factors or liquidity issues. By then using this concept of put/call parity one can take the next step and create synthetic positions using options. For example, one could buy a put and sell a call with the same exercise price and expiration date which would be the synthetic equivalent of a short future position. -
The Economics of Financial Derivative Instruments
MPRA Munich Personal RePEc Archive The Economics of Financial Derivative Instruments GODWIN C NWAOBI QUANTITATIVE ECONOMIC RESEARCH BUREAU, NIGERIA 5. July 2008 Online at http://mpra.ub.uni-muenchen.de/9463/ MPRA Paper No. 9463, posted 7. July 2008 02:31 UTC THE ECONOMICS OF FINANCIAL DERIVATIVE INSTRUMENTS GODWIN CHUKWUDUM NWAOBI PROFESSOR OF ECONOMICS / RESEARCH DIRECTOR [email protected] +234 8035925021 www.quanterb.org QUANTITATIVE ECONOMIC RESEARCH BUEREAU P O BOX 7173 ABA, ABIA STATE, NIGERIAN 1 ABSTRACT The phenomenal growth of derivative markets across the globe indicates their impact on the global financial scene. As the securitie s markets continue to evolve, market participants, investors and regulators are looking at different way in which the risk management and hedging needs of investors may be effectively met through the derivative instruments. However, it is equally recognized that derivative markets present market participates and regulatory (control) issues, which must be adequately addressed if derivative markets are to gain and maintain investor confidence. And yet, more and more companies are using (ordering forced to use) futures and derivatives to stay competitive in a fast- changing word characterized by both unprecedented opportunities and unprecedented risks. Thus, the thrust of this paper is to provide a detailed study of the manner in which the market works and how the knowledge can be used to make profits and avoid losses a competitive economy setting. KEY WORDS: DERIVATIVES, FUTURES, OPTIONS, COMMODITIES, OTC, ASSETS, STOCKS, INDEXES, SWAPS, INSTRUMENTS, FOREIGN EXCHANGE, FOREX, HEDGING, SPOTMARKETS, ARBITRAGE, RISK, EXCHANGES, BROKERS, STORAGE, ECONOMIES, FINANCIAL, PRICES JEL NO: F31, G24, G10, G13 , M40 2 1.0 INTRODUCTION A derivative security is a security or contract designed in such a way that its price is derived from the price of an underlying asset. -
Statement of Additional Information Vivaldi Multi-Strategy Fund
Statement of Additional Information February 1, 2019 Vivaldi Multi-Strategy Fund Class A Shares (Ticker Symbol: OMOAX) Class I Shares (Ticker Symbol: OMOIX) a series of Investment Managers Series Trust II This Statement of Additional Information (“SAI”) is not a prospectus, and it should be read in conjunction with the Prospectus dated February 1, 2019, as may be amended from time to time, of the Vivaldi Multi-Strategy Fund (the “Fund”), a series of Investment Managers Series Trust II (the “Trust”). Vivaldi Asset Management, LLC (the “Advisor”) is the investment advisor to the Fund. RiverNorth Capital Management, LLC and Angel Oak Capital Advisors, LLC (the “Sub-Advisors”) are the Fund’s sub-advisors. A copy of the Fund’s Prospectus may be obtained on the Fund’s website at www.vivaldifunds.com, or by contacting the Fund at the address or telephone number specified below. The Fund’s Annual Report to shareholders for the fiscal year ended September 30, 2018, is incorporated by reference herein. A copy of the Fund’s Annual Report can be obtained by contacting the Fund at the address or telephone number specified below. Vivaldi Multi-Strategy Fund P.O. Box 2175 Milwaukee, Wisconsin 53201 1-877-779-1999 TABLE OF CONTENTS THE TRUST AND THE FUND .................................................................................................................. B-2 INVESTMENT STRATEGIES, POLICIES AND RISKS ........................................................................... B-2 MANAGEMENT OF THE FUND............................................................................................................ -
Swap Definitions Rules Finalized by the SEC and the CFTC Under Dodd-Frank
September 25, 2012 Swap Definitions Rules Finalized by the Practice Groups: SEC and the CFTC under Dodd-Frank Derivatives and Structured Products By Cary J. Meer, Anthony R. G. Nolan, Lawrence B. Patent, Skanthan Vivekananda, and Daniel A. Goldstein Investment Management Financial Services Introduction Reform/Dodd-Frank On July 18, 2012, the Securities and Exchange Commission (the “SEC”) and the Commodity Futures Resources Trading Commission (the “CFTC” and, together with the SEC, the “Commissions”) jointly published several final rules (the “Final Rules”) and provided interpretive guidance with respect to the definitions of the terms “swap,” “security-based swap,” “security-based swap agreement,” and “mixed swap” (the “Final Release”).1 The Final Rules represent one of a series of regulatory initiatives that the Commissions have undertaken in order to provide further guidance and clarity on the parallel regulatory regimes under the federal securities and commodity laws implemented for derivatives by the Dodd-Frank Wall Street Reform and Consumer Protection Act (the “Dodd-Frank Act”). The Final Rules will generally be effective October 12, 2012. The Final Rules revise the proposed definitions published on April 29, 2011 (the “Proposed Rules”).2 Background Title VII of the Dodd-Frank Act bifurcates the regulation of derivatives. “Swaps” are regulated by the CFTC under the Commodity Exchange Act (the “CEA”) and “security-based swaps” are regulated by the SEC under the federal securities laws.3 The categorization of a financial instrument -
OTC Derivatives Statistics at End-December 2014
Statistical release OTC derivatives statistics at end-December 2014 Monetary and Economic Department April 2015 Queries concerning this release may be directed to [email protected]. This publication is available on the BIS website (www.bis.org). © Bank for International Settlements 2015. All rights reserved. Brief excerpts may be reproduced or translated provided the source is stated. 1. OTC derivatives statistics at end-December 2014 Highlights from the latest BIS semiannual survey of over-the-counter (OTC) derivatives markets: OTC derivatives markets contracted in the second half of 2014. The notional amount of outstanding contracts fell by 9% between end-June 2014 and end-December 2014, from $692 trillion to $630 trillion. Exchange rate movements exaggerated the contraction of positions denominated in currencies other than the US dollar. Yet, even after adjusting for exchange rate movements, notional amounts were still down by about 3%. The gross market value of outstanding derivatives contracts – which provide a more meaningful measure of amounts at risk than notional amounts – rose sharply in the second half of 2014. Market values increased from $17 trillion to $21 trillion between end-June 2014 and end-December 2014, to their highest level since 2012. The increase was likely driven by pronounced moves in long-term interest rates and exchange rates during the period. Central clearing, a key element in global regulators’ agenda for reforming OTC derivatives markets to reduce systemic risks, made further inroads. In credit default swap markets, the share of outstanding contracts cleared through central counterparties rose from 27% to 29% in the second half of 2014. -
Implied Index and Option Pricing Errors: Evidence from the Taiwan Option Market
The International Journal of Business and Finance Research ♦ Volume 5 ♦ Number 2 ♦ 2011 IMPLIED INDEX AND OPTION PRICING ERRORS: EVIDENCE FROM THE TAIWAN OPTION MARKET Ching-Ping Wang, National Kaohsiung University of Applied Sciences Hung-Hsi Huang, National Pingtung University of Science and Technology Chien-Chia Hung, National Pingtung University of Science and Technology ABSTRACT This study examines both restricted and unrestricted Black-Sholes models, according to Longstaff (1995). Using the Taiwan index options for each day from January 2005 to December 2008, the unrestricted model simultaneously solves the implied index value and implied volatility whereas the restricted model only solves the implied volatility. Next, this study compares the pricing performance of restricted and unrestricted Black-Scholes models. The empirical results show he implied index value is almost higher than the actual index value. Moneyness has a significant negative impact on the index pricing error for calls but negative impact for puts. Open interest has a significantly negative impact on the index pricing error for calls. Volatility for calls has no significant effect on the index pricing error. The path-dependent effect on index pricing error increases with index returns. The unrestricted model has significantly less option pricing bias for calls than the restricted model. The option pricing error for calls in the restricted model has much larger negative bias near the middle maturity. The R-square in the restricted model is always much larger than the unrestricted model for both calls and puts. Finally, the option pricing errors are significantly affected by moneyness and time to expiration for all cases; this fact is consistent with Longstaff (1995). -
Options Trading
OPTIONS TRADING: THE HIDDEN REALITY RI$K DOCTOR GUIDE TO POSITION ADJUSTMENT AND HEDGING Charles M. Cottle ● OPTIONS: PERCEPTION AND DECEPTION and ● COULDA WOULDA SHOULDA revised and expanded www.RiskDoctor.com www.RiskIllustrated.com Chicago © Charles M. Cottle, 1996-2006 All rights reserved. No part of this publication may be printed, reproduced, stored in a retrieval system, or transmitted, emailed, uploaded in any form or by any means, electronic, mechanical photocopying, recording, or otherwise, without the prior written permission of the publisher. This publication is designed to provide accurate and authoritative information in regard to the subject matter covered. It is sold with the understanding that neither the author or the publisher is engaged in rendering legal, accounting, or other professional service. If legal advice or other expert assistance is required, the services of a competent professional person should be sought. From a Declaration of Principles jointly adopted by a Committee of the American Bar Association and a Committee of Publishers. Published by RiskDoctor, Inc. Library of Congress Cataloging-in-Publication Data Cottle, Charles M. Adapted from: Options: Perception and Deception Position Dissection, Risk Analysis and Defensive Trading Strategies / Charles M. Cottle p. cm. ISBN 1-55738-907-1 ©1996 1. Options (Finance) 2. Risk Management 1. Title HG6024.A3C68 1996 332.63’228__dc20 96-11870 and Coulda Woulda Shoulda ©2001 Printed in the United States of America ISBN 0-9778691-72 First Edition: January 2006 To Sarah, JoJo, Austin and Mom Thanks again to Scott Snyder, Shelly Brown, Brian Schaer for the OptionVantage Software Graphics, Allan Wolff, Adam Frank, Tharma Rajenthiran, Ravindra Ramlakhan, Victor Brancale, Rudi Prenzlin, Roger Kilgore, PJ Scardino, Morgan Parker, Carl Knox and Sarah Williams the angel who revived the Appendix and Chapter 10.