Volatility and the Alchemy of Risk
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Of Crashes, Corrections, and the Culture of Financial Information- What They Tell Us About the Need for Federal Securities Regulation
Missouri Law Review Volume 54 Issue 3 Summer 1989 Article 2 Summer 1989 Of Crashes, Corrections, and the Culture of Financial Information- What They Tell Us about the Need for Federal Securities Regulation C. Edward Fletcher III Follow this and additional works at: https://scholarship.law.missouri.edu/mlr Part of the Law Commons Recommended Citation C. Edward Fletcher III, Of Crashes, Corrections, and the Culture of Financial Information-What They Tell Us about the Need for Federal Securities Regulation, 54 MO. L. REV. (1989) Available at: https://scholarship.law.missouri.edu/mlr/vol54/iss3/2 This Article is brought to you for free and open access by the Law Journals at University of Missouri School of Law Scholarship Repository. It has been accepted for inclusion in Missouri Law Review by an authorized editor of University of Missouri School of Law Scholarship Repository. For more information, please contact [email protected]. Fletcher: Fletcher: Of Crashes, Corrections, and the Culture of Financial Information OF CRASHES, CORRECTIONS, AND THE CULTURE OF FINANCIAL INFORMATION-WHAT THEY TELL US ABOUT THE NEED FOR FEDERAL SECURITIES REGULATION C. Edward Fletcher, III* In this article, the author examines financial data from the 1929 crash and ensuing depression and compares it with financial data from the market decline of 1987 in an attempt to determine why the 1929 crash was followed by a depression but the 1987 decline was not. The author argues that the difference between the two events can be understood best as a difference between the existence of a "culture of financial information" in 1987 and the absence of such a culture in 1929. -
Managing Volatility Risk
Managing Volatility Risk Innovation of Financial Derivatives, Stochastic Models and Their Analytical Implementation Chenxu Li Submitted in partial fulfillment of the Requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2010 c 2010 Chenxu Li All Rights Reserved ABSTRACT Managing Volatility Risk Innovation of Financial Derivatives, Stochastic Models and Their Analytical Implementation Chenxu Li This dissertation investigates two timely topics in mathematical finance. In partic- ular, we study the valuation, hedging and implementation of actively traded volatil- ity derivatives including the recently introduced timer option and the CBOE (the Chicago Board Options Exchange) option on VIX (the Chicago Board Options Ex- change volatility index). In the first part of this dissertation, we investigate the pric- ing, hedging and implementation of timer options under Heston’s (1993) stochastic volatility model. The valuation problem is formulated as a first-passage-time problem through a no-arbitrage argument. By employing stochastic analysis and various ana- lytical tools, such as partial differential equation, Laplace and Fourier transforms, we derive a Black-Scholes-Merton type formula for pricing timer options. This work mo- tivates some theoretical study of Bessel processes and Feller diffusions as well as their numerical implementation. In the second part, we analyze the valuation of options on VIX under Gatheral’s double mean-reverting stochastic volatility model, which is able to consistently price options on S&P 500 (the Standard and Poor’s 500 index), VIX and realized variance (also well known as historical variance calculated by the variance of the asset’s daily return). -
Is Japan 'Back'?
IS JAPAN ‘BACK’? Japan Society of Northern California/Federal Reserve Bank of San Francisco, May 9th 2013 SOME PRELMINARY OBSERVATIONS SOME PRELMINARY “It is the one sphere of life and activity where victory, security and success is always to the minority and never to the majority. When you find any one agreeing with you, change your mind.” Keynes, speaking of Investment, 1937 5/8/2013 2 SUMMARY o Causes of Japan’s “Lost Decades” o First – Strategic irrelevance post-1989 o Second – early ‘90s headwinds strong in proportion to the size of the bubble o Third - 1997-2012- persistent macro-economic policy mistakes. o No insuperable “structural problems o Last headwinds dropped to nothing in 2009 o Senkaku spat marks Japan’s recovery of a strategic role o “Abe-nomics” represents reversal of the mistakes of 1997-2012 o Anyway, monetary policy has actually been loose since 3/11 o Deflation may already be over o PM Abe may just be “in the right place at the right time” o Both the initial, long period of error and its reversal echo the ‘30s. 5/8/2013 3 WHAT ACTUALLY HAPPENED? Is Real Life lived in Real or Nominal Numbers? Year Nominal GDP Population Nominal GDP/head Real GDP Real GDP/head (Y mil) (Thou) (Y mil) (Y mil) (Y mil) 1995 501,707 125,570 4.00 455,460 3.63 2000 509,860 126,926 4.02 474,847 3.74 2005 503,903 127,768 3.94 503,921 3.94 2010 482,384 128,057 3.77 512,364 4.00 2011 470,623 127,799 3.68 509,450 3.99 Period Nominal GDP per Capita Real GDP per Capita Change 1995-2011 -7.8% 9.9% 2000-2011 -8.3% 6.6% Note: GDP for Fiscal Years, Seasonally -
Hedging Volatility Risk
Journal of Banking & Finance 30 (2006) 811–821 www.elsevier.com/locate/jbf Hedging volatility risk Menachem Brenner a,*, Ernest Y. Ou b, Jin E. Zhang c a Stern School of Business, New York University, New York, NY 10012, USA b Archeus Capital Management, New York, NY 10017, USA c School of Business and School of Economics and Finance, The University of Hong Kong, Pokfulam Road, Hong Kong Received 11 April 2005; accepted 5 July 2005 Available online 9 December 2005 Abstract Volatility risk plays an important role in the management of portfolios of derivative assets as well as portfolios of basic assets. This risk is currently managed by volatility ‘‘swaps’’ or futures. How- ever, this risk could be managed more efficiently using options on volatility that were proposed in the past but were never introduced mainly due to the lack of a cost efficient tradable underlying asset. The objective of this paper is to introduce a new volatility instrument, an option on a straddle, which can be used to hedge volatility risk. The design and valuation of such an instrument are the basic ingredients of a successful financial product. In order to value these options, we combine the approaches of compound options and stochastic volatility. Our numerical results show that the straddle option is a powerful instrument to hedge volatility risk. An additional benefit of such an innovation is that it will provide a direct estimate of the market price for volatility risk. Ó 2005 Elsevier B.V. All rights reserved. JEL classification: G12; G13 Keywords: Volatility options; Compound options; Stochastic volatility; Risk management; Volatility index * Corresponding author. -
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The Financial System and Global Socioeconomic Cbanges Yuichiro Nagatomi Occasional Paper No.4 Yuichiro Nagatomi is President of the Institute of Fiscal and Monetary Policy, Ministry of Finance, Japan This paper originated as a lecture given at the "Regulating International Financial Markets: Issues and Policies" conference, held at the Waldorf-Astoria Hotel in May, 1990. The conference was sponsored by the Center on Japanese Economy and Business and the Center for the Study of Futures Markets at Columbia University, the Institute of Fiscal and Monetary Policy of the Ministry of Finance, Japan, and the Foundation for Advanced Information and Research (FAIR), Japan. Occasional Paper Series Center on Japanese Economy and Business Graduate School of Business Columbia University June 1990 I have a few comments on some recent changes in financial structure and also changes in the effects of monetary policy which perhaps need more discussion. 1. Socio-Economic Structure Changes: "Softnomization" The industrialized countries - the United States, Japan, and Europe - attained modernization and industrialization after the Industrial Revolution. In recent years, their socio-economic structures have been changing in a way we call "softnomization". In pre-modern times, people lived with nature's cycle - the "path of nature" or the "soft path". The "path of mechanization and automation" or the "hard path", pursued in the process of modernization and industrialization has blessed mankind with material affluence. It also has brought about "global environmental problems and maladies to advanced nations, such as drug use and other urban crimes, and it has deteriorated the vitality and quality of the society. "Softnomization" means a softening of the hard path, by seeking harmony between the "hard path" of modern times and the "soft path" of pre-modern times. -
Speech: Would More Regulation Prevent Another Black Monday?, July 20, 1988
u.S.Securities and Exchange Commission [N]@\Wl~ Washington,D. C. 20549 (202) 272-2650 ~@~@@~@ WOULD MORE REGULATION PREVENT ANOTHER BLACK MONDAY? Remarks to the CATO Institute Policy Forum Washington, D.C. July 20, 19.88 Joseph A. Grundfest Commissioner The views expressed herein are those of Commissioner Grundfest and do not necessarily represent those of the Commission, other Commissioners, or Commission staff. WOULD MORE REGULATION PREVENT ANOTHER BLACK MONDAY? Remarks to the CATO Institute Policy Forum July 21, 1988 Joseph A. Grundfest It's a pleasure to be here this afternoon to deliver an address on such a noncontroversial topic. Government regulators in Washington, D.C. have a well deserved reputation for dancing around difficult issues and not giving straight answers to simple questions. Well, I'd like to prove that I'm not your typical Washington, D.C. regulator and give you a straight answer to the question, "Would more regulation prevent another Black Monday?" The answer is an unequivocable yes, no, and maybe. The answer also depends on what you mean by more regulation and why you believe the market declined on Black Monday. With that issue cleared up, I'd like to thank all of you for attending and invite you to join the reception being held immediately after this speech. Thank you very much. It's been a pleasure. Actually, the question of whether more regulation could prevent another Black Monday is not as difficult as it seems, if you keep three factors in mind. First, it is important to distinguish between fundamental factors that initiated or contributed to the decline, and regulatory or structural factors that may have unnecessarily exacerbated the decline. -
October 19, 1987 – Black Monday, 20 Years Later BACKGROUND
October 19, 1987 – Black Monday, 20 Years Later BACKGROUND On Oct. 19, 1987, “Black Monday,” the DJIA fell 507.99 (508) points to 1,738.74, a drop of 22.6% or $500 billion dollars of its value-- the largest single-day percentage drop in history. Volume surges to a then record of 604 million shares. Two days later, the DJIA recovered 289 points or 16.6% of its loss. It took two years for the DJIA to fully recover its losses, setting the stage for the longest bull market in U.S. history. Date Close Change Change % 10/19/87 1,738.70 -508.00 -22.6 10/20/87 1,841.00 102.30 5.9 10/21/87 2,027.90 186.90 10.2 Quick Facts on October 11, 1987 • DJIA fell 507.99 points to 1,738.74, a 22.6% drop (DJIA had opened at 2246.74 that day) o Record decline at that time o Friday, Oct. 16, DJIA fell 108 points, completing a 9.5 percent drop for the week o Aug. 1987, DJIA reached 2722.42, an all-time high; up 48% over prior 10 months o Today, DJIA above 14,000 • John Phelan, NYSE Chairman/CEO -- Credited with effective management of the crisis. A 23-year veteran of the trading floor, he became NYSE president in 1980 and chairman and chief executive officer in 1984, serving until 1990 NYSE Statistics (1987, then vs. now) 1987 Today (and current records) ADV - ytd 1987 (thru 10/19): 181.5 mil ADV – 1.76 billion shares (NYSE only) shares 10/19/1987: 604.3 million shares (reference ADV above) 10/20/1987: 608.1* million shares (reference ADV above) Oct. -
The 100 Most Important American Financial Crises an Encyclopedia
The 100 Most Important American Financial Crises An Encyclopedia of the Lowest Points in American Economic History Quentin R. Skrabec Jr. Q GREENWOOD AN IMPRINT OF ABC-CLIO, LLC Santa Barbara, California • Denver, Colorado • Oxford, England Contents Preface xiii Acknowledgments xv Introduction xvii 1676—Bacon's Rebellion 1 1703—Tobacco Depression 4 1719—Mississippi Bubble 6 1733—Molasses Act 9 1749—Colonial Hyperinflation and Currency Deflation 12 1750—IronAct 15 1762—Colonial Recession 17 1764-1765—Sugar Act, Currency Act, and Stamp Act Boycotts 19 1772—Credit Crisis 22 1776—War Financing Crisis 24 1781—Currency Deflation and Inflation 28 1790—Debt Assumption, Debt Retirement, and Expanding the Economy 31 1792—Panic 33 1794—Whiskey Tax Rebellion 37 1796-1797—Panic 40 1800—Trade Interference by Barbary Coast Pirates 43 1807—Economic Embargo and Depression 45 1812—War of 1812 48 vii viii | Contents 1816-1819—Economic Warfare and Dumping by Great Britain 51 1819—Panic 53 1820s—Cotton Recession 56 1825—British Panic and Its American Impact 58 1828—Tariff of Abominations 60 1833—Andrew Jackson Closes the Bank of the United States and Lowers Tariffs 63 1837—Panic and Six-Year Depression 66 1847—Panic 69 1848—Gold Rush Boom and Bust 71 1850—Whale Oil Shortage: The First Energy Crisis 73 1854—Panic 76 1854—Deel ine of American Canals 78 1857—Panic 81 1861—Civil War Economics, Shortages, and Inflation 83 1862—Union Blockade and Inflation 85 1869—Grant's Recession 88 1873—Panic and Global Depression 90 1877—Great National Railroad Strike 93 1880s—New -
Recession Outlook ➢ Impact of Recessions on Investments ➢ Conventional-Wisdom Investments for Recessions
Chap quoit A Division of Dynamic Portfolios Presentation of Managing the Risk of a Looming U.S. Recession During 2020 May 10, 2020 1 Chap quoit A Division of Dynamic Portfolios Impact of Recessions on Investments Virtually all recessions are accompanied by a large stock market drawdown. 2 Chap quoit A Division of Dynamic Portfolios S&P500 Daily-Close Maximum Drawdowns In Last 10 Recessions: 7 Bear Markets, 3 Corrections Black Monday 1987. Credit Crunch of 66. Computerized selling Long-Term Capital Flash Crash of 62. Liquidity Crisis in dictated by portfolio and Hedge Fund US Steel Price Bond Markets. insurance hedges. Redemptions Surprise. Bear Market Line Correction Line Shading represents US economic recessions as defined by the National Bureau of Economic Research (NBER). Chap quoit A Division of Dynamic Portfolios Managing 2020 Recession Risk Topics For Discussion ➢ Definition of a Recession ➢ Primary Factor for Declaring Dates for a Recession ➢ Historical Causes of Recessions ➢ Indicators to Help Estimate Timing of Recessions ➢ Current Recession Outlook ➢ Impact of Recessions on Investments ➢ Conventional-Wisdom Investments for Recessions 4 Chap quoit A Division of Dynamic Portfolios Definition of a Recession The National Bureau of Economic Research (NBER) Defines a Recession as: “A significant decline in economic activity spread across the economy, lasting more than a few months, normally visible in real GDP, real income, employment, industrial production, and wholesale-retail sales.” Rule of thumb: Real GDP declines in two negative quarters. Official Recession Dates are declared by the NBER Business Cycle Dating Committee. -December 1, 2008, announced its most recent U.S. recession started December 2007, a full year after the recession began. -
Dimensions of Macroeconomic Uncertainty: a Common Factor Analysis
A Service of Leibniz-Informationszentrum econstor Wirtschaft Leibniz Information Centre Make Your Publications Visible. zbw for Economics Henzel, Steffen; Rengel, Malte Working Paper Dimensions of Macroeconomic Uncertainty: A Common Factor Analysis CESifo Working Paper, No. 4991 Provided in Cooperation with: Ifo Institute – Leibniz Institute for Economic Research at the University of Munich Suggested Citation: Henzel, Steffen; Rengel, Malte (2014) : Dimensions of Macroeconomic Uncertainty: A Common Factor Analysis, CESifo Working Paper, No. 4991, Center for Economic Studies and ifo Institute (CESifo), Munich This Version is available at: http://hdl.handle.net/10419/103134 Standard-Nutzungsbedingungen: Terms of use: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Documents in EconStor may be saved and copied for your Zwecken und zum Privatgebrauch gespeichert und kopiert werden. personal and scholarly purposes. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle You are not to copy documents for public or commercial Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich purposes, to exhibit the documents publicly, to make them machen, vertreiben oder anderweitig nutzen. publicly available on the internet, or to distribute or otherwise use the documents in public. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, If the documents have been made available under an Open gelten abweichend von diesen Nutzungsbedingungen die -
The Rising Thunder El Nino and Stock Markets
THE RISING THUNDER EL NINO AND STOCK MARKETS: By Tristan Caswell A Project Presented to The Faculty of Humboldt State University In Partial Fulfillment of the Requirements for the Degree Master of Business Administration Committee Membership Dr. Michelle Lane, Ph.D, Committee Chair Dr. Carol Telesky, Ph.D Committee Member Dr. David Sleeth-Kepler, Ph.D Graduate Coordinator July 2015 Abstract THE RISING THUNDER EL NINO AND STOCK MARKETS: Tristan Caswell Every year, new theories are generated that seek to describe changes in the pricing of equities on the stock market and changes in economic conditions worldwide. There are currently theories that address the market value of stocks in relation to the underlying performance of their financial assets, known as bottom up investing, or value investing. There are also theories that intend to link the performance of stocks to economic factors such as changes in Gross Domestic Product, changes in imports and exports, and changes in Consumer price index as well as other factors, known as top down investing. Much of the current thinking explains much of the current movements in financial markets and economies worldwide but no theory exists that explains all of the movements in financial markets. This paper intends to propose the postulation that some of the unexplained movements in financial markets may be perpetuated by a consistently occurring weather phenomenon, known as El Nino. This paper intends to provide a literature review, documenting currently known trends of the occurrence of El Nino coinciding with the occurrence of a disturbance in the worldwide financial markets and economies, as well as to conduct a statistical analysis to explore whether there are any statistical relationships between the occurrence of El Nino and the occurrence of a disturbance in the worldwide financial markets and economies. -
The Cross-Section of Volatility and Expected Returns
THE JOURNAL OF FINANCE • VOL. LXI, NO. 1 • FEBRUARY 2006 The Cross-Section of Volatility and Expected Returns ANDREW ANG, ROBERT J. HODRICK, YUHANG XING, and XIAOYAN ZHANG∗ ABSTRACT We examine the pricing of aggregate volatility risk in the cross-section of stock returns. Consistent with theory, we find that stocks with high sensitivities to innovations in aggregate volatility have low average returns. Stocks with high idiosyncratic volatility relative to the Fama and French (1993, Journal of Financial Economics 25, 2349) model have abysmally low average returns. This phenomenon cannot be explained by exposure to aggregate volatility risk. Size, book-to-market, momentum, and liquidity effects cannot account for either the low average returns earned by stocks with high exposure to systematic volatility risk or for the low average returns of stocks with high idiosyncratic volatility. IT IS WELL KNOWN THAT THE VOLATILITY OF STOCK RETURNS varies over time. While con- siderable research has examined the time-series relation between the volatility of the market and the expected return on the market (see, among others, Camp- bell and Hentschel (1992) and Glosten, Jagannathan, and Runkle (1993)), the question of how aggregate volatility affects the cross-section of expected stock returns has received less attention. Time-varying market volatility induces changes in the investment opportunity set by changing the expectation of fu- ture market returns, or by changing the risk-return trade-off. If the volatility of the market return is a systematic risk factor, the arbitrage pricing theory or a factor model predicts that aggregate volatility should also be priced in the cross-section of stocks.