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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. -
Asset and Risk Allocation Policy
____________________________________________________________________________ UNIVERSITY OF CALIFORNIA GENERAL ENDOWMENT POOL ASSET AND RISK ALLOCATION POLICY Approved March 15, 2018 ______________________________________________________________________________ UNIVERSITY OF CALIFORNIA GENERAL ENDOWMENT POOL ASSET AND RISK ALLOCATION POLICY POLICY SUMMARY/BACKGROUND The purpose of this Asset and Risk Allocation Policy (“Policy”) is to define the asset types, strategic asset allocation, risk management, benchmarks, and rebalancing for the University of California General Endowment Pool (“GEP”). The Investments Subcommittee has consent responsibilities over this policy. POLICY TEXT ASSET CLASS TYPES Below is a list of asset class types in which the GEP may invest so long as they do not conflict with the constraints and restrictions described in the GEP Investment Policy Statement. The criteria used to determine which asset classes may be included are: Positive contribution to the investment objective of GEP Widely recognized and accepted among institutional investors Low cross correlations with some or all of the other accepted asset classes Based on the criteria above, the types of assets for building the portfolio allocation are: 1. Public Equity Includes publicly traded common and preferred stock of issuers domiciled in US, Non-US, and Emerging (and Frontier) Markets. The objective of the public equity portfolio is to generate investment returns with adequate liquidity through a globally diversified portfolio of common and preferred stocks. 2. Liquidity (Income) Liquidity includes a variety of income related asset types. The portfolio will invest in interest bearing and income based instruments such as corporate and government bonds, high yield debt, emerging markets debt, inflation linked securities, cash and cash equivalents. The portfolio can hold a mix of traditional (benchmark relative) strategies and unconstrained (benchmark agnostic) strategies. -
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........ -
Tracking Error
India Index Services & Products Ltd. Tracking Error TRACKING ERROR An Index Fund is a mutual fund scheme that invests in the securities in the target Index in the same proportion or weightage of the securities as it bears to the target index. The investment objective of an index fund is to achieve returns which are commensurate to that of the target Index. An investment manager attempts to replicate the investment results of the target index by holding all the securities in the Index. Though Index Funds are designed to provide returns that closely track the benchmarked Index, Index Funds carry all the risks associated with the type of asset the fund holds. Indexing merely ensures that the returns of the Index Fund will not stray far from the returns on the Index that the fund mimics. Still there are instances, which are mentioned below, that leads to mismatch of the returns of the index with that of the fund. This mismatch or the difference in the returns of the Index with that of the fund is known as Tracking Error. Tracking Error Tracking error is defined as the annualised standard deviation of the difference in returns between the Index fund and its target Index. In simple terms, it is the difference between returns from the Index fund to that of the Index. An Index fund manager needs to calculate his tracking error on a daily basis especially if it is open-ended fund. Lower the tracking error, closer are the returns of the fund to that of the target Index. -
TRACKING ERROR: an Essential Tool in Evaluating Index Funds
JOURNAL OF INVESTMENT CONSULTING TRACKING ERROR: An Essential Tool in Evaluating Index Funds By Chris Tobe, CFA As the dollars being indexed grow and portfolio management becon1es more sophisticated, consultants should demand tighter tracking to the index in question from their index n1anagers. In fact, the key to assessiI1g index fund managers is determining if their performance has tracked their benchmarks within reasonable tolerances. The alltl10r reviews what is known about this aspect of performance evaluation. He also sl1ares 11is experie11ce in detern1ining what factors caused a difference in performance for a $3 billion S&P 500 index fund. This article is based on a study written by the author and should be no attempt to outperform the index or Dr. Ken Miller for Kentucky State Auditor Edward B. bencl1mark. William F Sharpe holds that a passive Hatchett Jr. The study was reported in the July 27, 1998, strategy requires the manager issue of Pensions and Investments. Earlier versions of this ... to hold every security from the market, with each article were presented at two conferences on indexing. represented in the same manner as in the n1arket. Thus, if security X represents 3 percent of the value ver $1 trillion is now being managed of the securities in the market, a passive investor's within index funds. Lipper lists the portfolio will have 3 percent of its value invested in Vanguard 500 Index fund as the second X. Equivalently; a passive manager will hold the same percentage of the total outstanding amount of largest stock fllnd in the world with a each security in the market. -
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 -
Hedging Climate Risk Mats Andersson, Patrick Bolton, and Frédéric Samama
AHEAD OF PRINT Financial Analysts Journal Volume 72 · Number 3 ©2016 CFA Institute PERSPECTIVES Hedging Climate Risk Mats Andersson, Patrick Bolton, and Frédéric Samama We present a simple dynamic investment strategy that allows long-term passive investors to hedge climate risk without sacrificing financial returns. We illustrate how the tracking error can be virtually eliminated even for a low-carbon index with 50% less carbon footprint than its benchmark. By investing in such a decarbonized index, investors in effect are holding a “free option on carbon.” As long as climate change mitigation actions are pending, the low-carbon index obtains the same return as the benchmark index; but once carbon dioxide emissions are priced, or expected to be priced, the low-carbon index should start to outperform the benchmark. hether or not one agrees with the scientific the climate change debate is not yet fully settled and consensus on climate change, both climate that climate change mitigation may not require urgent Wrisk and climate change mitigation policy attention. The third consideration is that although the risk are worth hedging. The evidence on rising global scientific evidence on the link between carbon dioxide average temperatures has been the subject of recent (CO2) emissions and the greenhouse effect is over- debates, especially in light of the apparent slowdown whelming, there is considerable uncertainty regarding in global warming over 1998–2014.1 The perceived the rate of increase in average temperatures over the slowdown has confirmed the beliefs of climate change next 20 or 30 years and the effects on climate change. doubters and fueled a debate on climate science There is also considerable uncertainty regarding the widely covered by the media. -
Tracking Error and the Information Ratio
It Is More Than]ust Performance: TRACKING ERROR AND THE INFORMATION RATIO By Jay L. Shein, Ph.D., ClMA, CFP ONE OF OUR MOST POPULAR CONTRIBUTORS REVIEWS SOME QUANTITATIVE TECHNIQUES THAT CAN ASSIST THE CONSULTANT IN MANAGER SELECTIONS AND IN ASSET ALLOCATION DESIGN. Introduction properly these statistical measures can be dentifying and selecting the most appropri useful tools. ate mutual fund or money manager to use Tracking error was defined by Tobe (1999) as in an investor's portfolio are major aspects the percentage difference in total return between of the investment consultants responsibili an index fund and the benchmark index the fund ties. This is true for both active and passive was designed to replicate. This definition of track money manager searches and selection. ing error is best used for evaluation of a passive When searching for and selecting money man manager such as an index fund. Tracking error agers, consultants and investment advisors typical used in the context of active manager evaluation is ly look at both qualitative and quantitative infor better defined as active manager risk. For purpos mation before making their recommendations. The es of this commentary, tracking error is defined as investment consultant knows that items such as the standard deviation between two return series philosophy, process, people, and strategic business written as: 1 plans are important, if not sometimes more impor tant than historical performance. Even though the qualitative side is important, the investment con TE= i-I sultant will ultimately use some quantitative mea N-l sure such as a ratio, statistic, risk-adjusted measure of performance, and/or absolute performance to Where: validate the qualitative component of money man IE = Tracking Error ager search and selection. -
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.