Long-Term Capital Management
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Fixed Income Strategies and Alternatives in a Zero-Interest Rate Environment - September 2016 - September 2016
September 2016 PROMOTION. FOR INVESTMENT PROFESSIONALS ONLY. NOT FOR PUBLIC DISTRIBUTION Insurance linked Strategies Uncorrelated risk Premia and active Management Time to Look at European Asset Backed Securities Bringing Direct Lending to the Nordics Alternative Credit: an Oasis of Yield in the NIRP Desert Fixed Income Strategies and Alternatives in a Zero-Interest Rate Environment www.hedgenordic.com - September 2016 www.hedgenordic.com - September 2016 PROMOTION. FOR INVESTMENT PROFESSIONALS ONLY. NOT FOR PUBLIC DISTRIBUTION Contents INTRODUCTION HedgeNordic is the leading media covering the Nordic alternative Viewing the Credit LAndSCApe MoMA AdViSorS roLLS expenSiVe VALuAtionS, But SupportiVe teChniCALS for investment and hedge fund universe. through An ALternAtiVe LenS out ASgArd Credit KAMeS inVeStMent grAde gLobal Bond fund The website brings daily news, research, analysis and background that is relevant StrAtegy to Nordic hedge fund professionals from the sell and buy side from all tiers. HedgeNordic publishes monthly, quarterly and annual reports on recent developments in her core market as well as special, indepth reports on “hot topics”. HedgeNordic also calculates and publishes the Nordic Hedge Index (NHX) and is host to the Nordic Hedge Award and organizes round tables and seminars. 62 20 40 the Long And Short of it - the tortoiSe & the hAre: gLobal CorporAte BondS - Targeting opportunitieS in SCAndinaviAn,independent, A DYNAMIC APPROacH TO FIXED INCOME & SRI/ESG in SeArCh of CouponS u.S. LeVerAged Credit eSg, CAt Bond inVeSting HIGH YIELD INVESTING HedgeNordic Project Team: Glenn Leaper, Pirkko Juntunen, Jonathan Furelid, Tatja Karkkainen, Kamran Ghalitschi, Jonas Wäingelin Contact: 33 76 36 48 58 Nordic Business Media AB BOX 7285 SE-103 89 Stockholm, Sweden Targeting opportunities in End of the road - How CTAs the Added intereSt Corporate Number: 556838-6170 The Editor – Faith and Fixed Income.. -
Progress Report on the Role of Communication During the Lifetime of Long‐Term Capital Management
Progress Report on the Role of Communication during the Lifetime of Long‐Term Capital Management Jessica Lo, Sophia Lu, Joseph Xi, Anthony Zhu (Red Team – 202) November 1, 2010 Introduction Long‐Term Capital Management (LTCM) was a hedge fund that was extremely successful in the early 1990s, but a series of unexpected events led to its abrupt downfall. While most commentary focuses on the technical aspects of LTCM, this report will examine the role of communication during the hedge fund’s lifetime. We will look at the ways in which LTCM’s internal and external communication with its clients and counterparties affected its success and failure. Specifically, we will analyze how LTCM’s communication practices changed over time in response to the changing financial environment. During the rise of LTCM, not only was there limited communication between LTCM’s traders, but LTCM was also unwilling to disclose much information to its investors. However, during the downfall of LTCM, LTCM had to reveal its positions and trades to the public in an attempt to raise capital and to save the fund from failing. It should be noted that the purpose of this report is not solely to attribute LTCM’s downfall to flaws in its communication practices. Instead, this report aims to identify communicative events, such as lack of communication and excessive communication, which contributed to LTCM’s downfall. In studying LTCM and its communication practices, we read and analyzed a variety of documents that offer differing perspectives on both the technical and social aspects of LTCM. We categorized the documents we read as either a primary document or secondary document, and provided a brief synopsis of each document. -
2017 Financial Services Industry Outlook
NEW YORK 535 Madison Avenue, 19th Floor New York, NY 10022 +1 212 207 1000 SAN FRANCISCO One Market Street, Spear Tower, Suite 3600 San Francisco, CA 94105 +1 415 293 8426 DENVER 999 Eighteenth Street, Suite 3000 2017 Denver, CO 80202 FINANCIAL SERVICES +1 303 893 2899 INDUSTRY REVIEW MEMBER, FINRA / SIPC SYDNEY Level 2, 9 Castlereagh Street Sydney, NSW, 2000 +61 419 460 509 BERKSHIRE CAPITAL SECURITIES LLC (ARBN 146 206 859) IS A LIMITED LIABILITY COMPANY INCORPORATED IN THE UNITED STATES AND REGISTERED AS A FOREIGN COMPANY IN AUSTRALIA UNDER THE CORPORATIONS ACT 2001. BERKSHIRE CAPITAL IS EXEMPT FROM THE REQUIREMENTS TO HOLD AN AUSTRALIAN FINANCIAL SERVICES LICENCE UNDER THE AUSTRALIAN CORPORATIONS ACT IN RESPECT OF THE FINANCIAL SERVICES IT PROVIDES. BERKSHIRE CAPITAL IS REGULATED BY THE SEC UNDER US LAWS, WHICH DIFFER FROM AUSTRALIAN LAWS. LONDON 11 Haymarket, 2nd Floor London, SW1Y 4BP United Kingdom +44 20 7828 2828 BERKSHIRE CAPITAL SECURITIES LIMITED IS AUTHORISED AND REGULATED BY THE FINANCIAL CONDUCT AUTHORITY (REGISTRATION NUMBER 188637). www.berkcap.com CONTENTS ABOUT BERKSHIRE CAPITAL Summary 1 Berkshire Capital is an independent employee-owned investment bank specializing in M&A in the financial services sector. With more completed transactions in this space than any Traditional Investment Management 6 other investment bank, we help clients find successful, long-lasting partnerships. Wealth Management 9 Founded in 1983, Berkshire Capital is headquartered in New York with partners located in Cross Border 13 London, Sydney, San Francisco, Denver and Philadelphia. Our partners have been with the firm an average of 14 years. We are recognized as a leading expert in the asset management, Real Estate 17 wealth management, alternatives, real estate and broker/dealer industries. -
Examination of Var After Long Term Capital Management
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Munich RePEc Personal Archive MPRA Munich Personal RePEc Archive Examination of VaR after long term capital management Hakan Yalincak and Yu Li and Mike Tong New York University 2. May 2005 Online at https://mpra.ub.uni-muenchen.de/40152/ MPRA Paper No. 40152, posted 18. July 2012 21:04 UTC _______________________________________________________ Examination of VaR After Long Term Capital Management by Hakan Yalincak, Yu Li and Mike Tong* New York University Risk Management In Financial Institutions (Spring 2005) __________________________________________________________________ Abstract The 1998 failure of Long-Term Capital Management (‘LTCM’), a very large and prominent Greenwich, Connecticut based hedge fund, is said to have nearly brought down the world financial system. Over the years, few financial debacles such as LTCM, have been so often written about or discussed without a firm conclusion on what went wrong. What brought the “genius” managers of LTCM to their knees? Was it hubris, or was it something more? Various commentators have jumped on LTCM’s significant leverage ratio or engaged in second-guessing of management’s decision in 1997 to return $2.7 billion of investor capital to increase leverage, and thereby, returns. Others have faulted the lack of transparency at LTCM or faulted regulators for a lack of oversight, criticized regulators for arranging the bailout, while others still have pinpointed the debacle on the failure of LTCM’s risk management prowess. This paper avoids the blame and identifies the multiple factors, both management risk management blunders, as well as inherent flaws in the risk metric used by LTCM – Value at Risk (VaR) – a commonly used risk metric in the financial industry today. -
Securitization & Hedge Funds
SECURITIZATION & HEDGE FUNDS: COLLATERALIZED FUND OBLIGATIONS SECURITIZATION & HEDGE FUNDS: CREATING A MORE EFFICIENT MARKET BY CLARK CHENG, CFA Intangis Funds AUGUST 6, 2002 INTANGIS PAGE 1 SECURITIZATION & HEDGE FUNDS: COLLATERALIZED FUND OBLIGATIONS TABLE OF CONTENTS INTRODUCTION........................................................................................................................................ 3 PROBLEM.................................................................................................................................................... 4 SOLUTION................................................................................................................................................... 5 SECURITIZATION..................................................................................................................................... 5 CASH-FLOW TRANSACTIONS............................................................................................................... 6 MARKET VALUE TRANSACTIONS.......................................................................................................8 ARBITRAGE................................................................................................................................................ 8 FINANCIAL ENGINEERING.................................................................................................................... 8 TRANSPARENCY...................................................................................................................................... -
Dynamic Strategic Arbitrage∗
Dynamic Strategic Arbitrage∗ Vincent Fardeauy Frankfurt School of Finance and Managment This version: June 11, 2014 Abstract Asset prices do not adjust instantaneously following uninformative demand or supply shocks. This paper offers a theory based on arbitrageurs' price impact to explain these slow-moving cap- ital dynamics. Arbitrageurs recognizing their price impact break up trades, leading to gradual price adjustments. When shocks are anticipated, prices exhibit a V-shaped pattern, with a peak at the realization of the shocks. The dynamics of market depth and price adjustments depend on the degree of competition between arbitrageurs. When shocks are uncertain, price dynamics depend on the interaction between arbitrageurs' competition and the total risk-bearing capacity of the market. JEL codes: G12, G20, L12; Keywords: Strategic arbitrage, liquidity, price impact, limits of arbitrage. ∗I benefited from comments from Miguel Ant´on,Bruno Biais, Maria-Cecilia Bustamante, Amil Dasgupta, Michael Gordy, Martin Oehmke (discussant), Matt Pritsker, Jean-Charles Rochet, Yuki Sato, Kostas Zachariadis, Jean-Pierre Zigrand and seminar and conference participants at LSE, INSEAD, FRB, the University of Zurich and the 2013 AFA meetings in San Diego. I am grateful to Dimitri Vayanos and Denis Gromb for supervision and insights. Jay Im provided excellent research assistance. This paper is the first part of a paper previously circulated as \Strategic Arbitrage with Entry". All remaining errors are my own. yDepartment of Finance, Frankfurt School of Finance and Management, Sonnemannstrasse 9-11, 60314 Frankfurt am Main, Germany. Email: [email protected]. 1 1 Introduction Empirical evidence shows that prices recover slowly from demand or supply shocks that are unre- lated to future earnings and that these patterns are due to imperfections in the supply of capital. -
Optimal Convergence Trading with Unobservable Pricing Errors
OPTIMAL CONVERGENCE TRADING WITH UNOBSERVABLE PRICING ERRORS SÜHAN ALTAY, KATIA COLANERI, AND ZEHRA EKSI Abstract. We study a dynamic portfolio optimization problem related to convergence trading, which is an investment strategy that exploits temporary mispricing by simultane- ously buying relatively underpriced assets and selling short relatively overpriced ones with the expectation that their prices converge in the future. We build on the model of Liu and Timmermann [22] and extend it by incorporating unobservable Markov-modulated pricing errors into the price dynamics of two co-integrated assets. We characterize the optimal portfolio strategies in full and partial information settings both under the assumption of unrestricted and beta-neutral strategies. By using the innovations approach, we provide the filtering equation that is essential for solving the optimization problem under partial information. Finally, in order to illustrate the model capabilities, we provide an example with a two-state Markov chain. 1. Introduction Convergence-type trading strategies have become one of the most popular trading strate- gies that are used to capitalize on market inefficiencies, or deviations from “equilibrium,” especially with the rapid developments in algorithmic and high-frequency trading. For a typical convergence trade, temporary mispricing is exploited by simultaneously buying rel- atively underpriced assets and selling short relatively overpriced assets in anticipation that at some future date their prices will have become closer. Thus one can profit by the extent of the convergence. A prime example of a convergence trade is a pairs trading strategy that involves a long position and a short position in a pair of similar stocks that have moved together historically and hence an investor can profit from the relative value trade arising arXiv:1910.01438v2 [q-fin.PM] 7 Oct 2019 from the cointegration between asset price dynamics involved in the trade. -
Europe's Largest Single Managers Ranked by a Um
2013 IN ASSOCIATION WITH IN ASSOCIATION 5O EUROPEEUROPE’S LARGEST SINGLE MANAGERS RANKED BY AUM EUROPE50 01 02 03 04 Brevan Howard Man BlueCrest Capital Blackrock Management 1 1 1 1 Total AUM (as at 30.06.13) Total AUM (as at 30.06.13) Total AUM (as at 01.04.13) Total AUM (as at 30.06.13) $40.0bn $35.6bn $34.22bn $28.7bn 2 2 2 2 2012 ranking 2012 ranking 2012 ranking 2012 ranking 2 1 3 6 3 3 3 3 Founded Founded Founded Founded 2002 1783 (as a cooperage) 2000 1988 4 4 4 4 Founders/principals Founders/principals Founders/principals Founders/principals Alan Howard Manny Roman (CEO), Luke Ellis (President), Mike Platt, Leda Braga Larry Fink Jonathan Sorrell (CFO) 5 5 5 Hedge fund(s) 5 Hedge fund(s) Hedge fund(s) Fund name: Brevan Howard Master Fund Hedge fund(s) Fund name: BlueCrest Capital International Fund name: UK Emerging Companies Hedge Limited Fund name: Man AHL Diversified plc Inception date: 12/2000 Fund Inception date: 04/2003 Inception date:03/1996 AUM: $13.5bn Inception date: Not disclosed AUM: $27.4bn AUM: $7.9bn Portfolio manager: Mike Platt AUM: Not disclosed Portfolio manager: Multiple portfolio Portfolio manager: Tim Wong, Matthew Strategy: Global macro Portfolio manager: Not disclosed managers Sargaison Asset classes: Not disclosed Strategy: Equity long/short Strategy: Global macro, relative value Strategy: Managed futures Domicile: Not disclosed Asset classes: Not disclosed Asset classes: Fixed income and FX Asset classes: Cross asset Domicile: Not disclosed Domicile: Cayman Islands Domicile: Ireland Fund name: BlueTrend -
Risk and Return in Yield Curve Arbitrage
Norwegian School of Economics Bergen, Fall 2020 Risk and Return in Yield Curve Arbitrage A Survey of the USD and EUR Interest Rate Swap Markets Brage Ager-Wick and Ngan Luong Supervisor: Petter Bjerksund Master’s Thesis, Financial Economics NORWEGIAN SCHOOL OF ECONOMICS This thesis was written as a part of the Master of Science in Economics and Business Administration at NHH. Please note that neither the institution nor the examiners are responsible – through the approval of this thesis – for the theories and methods used, or results and conclusions drawn in this work. Acknowledgements We would like to thank Petter Bjerksund for his patient guidance and valuable insights. The empirical work for this thesis was conducted in . -scripts can be shared upon request. 2 Abstract This thesis extends the research of Duarte, Longstaff and Yu (2007) by looking at the risk and return characteristics of yield curve arbitrage. Like in Duarte et al., return indexes are created by implementing a particular version of the strategy on historical data. We extend the analysis to include both USD and EUR swap markets. The sample period is from 2006-2020, which is more recent than in Duarte et al. (1988-2004). While the USD strategy produces risk-adjusted excess returns of over five percent per year, the EUR strategy underperforms, which we argue is a result of the term structure model not being well suited to describe the abnormal shape of the EUR swap curve that manifests over much of the sample period. For both USD and EUR, performance is much better over the first half of the sample (2006-2012) than over the second half (2013-2020), which coincides with a fall in swap rate volatility. -
How the SEC Justified Its Decision to Require Registration of Hedge Fund Advisers
Washington University Law Review Volume 83 Issue 2 2005 Looking Through the Hedges: How the SEC Justified Its Decision to Require Registration of Hedge Fund Advisers Laura Edwards Washington University School of Law Follow this and additional works at: https://openscholarship.wustl.edu/law_lawreview Part of the Legislation Commons Recommended Citation Laura Edwards, Looking Through the Hedges: How the SEC Justified Its Decision ot Require Registration of Hedge Fund Advisers, 83 WASH. U. L. Q. 603 (2005). Available at: https://openscholarship.wustl.edu/law_lawreview/vol83/iss2/5 This Note is brought to you for free and open access by the Law School at Washington University Open Scholarship. It has been accepted for inclusion in Washington University Law Review by an authorized administrator of Washington University Open Scholarship. For more information, please contact [email protected]. LOOKING THROUGH THE HEDGES: HOW THE SEC JUSTIFIED ITS DECISION TO REQUIRE REGISTRATION OF HEDGE FUND ADVISERS I. INTRODUCTION In 1998, the infamous hedge fund, Long Term Capital Management (“LTCM”), collapsed, threatening to bring down the entire global economy.1 Although hedge funds had been dramatically growing in popularity since the early 1990s,2 this was the first major event in an industry that was, and still is, generally seen as an investment vehicle for the very rich and non-risk-averse.3 In the next five years, the hedge fund industry would be the focus of reports by the President’s Working Group on Financial Markets4 (“President’s Working -
Optimal Convergence Trade Strategies*
Optimal Convergence Trade Strategies∗ Jun Liu† Allan Timmermann‡ UC San Diego and SAIF UC San Diego and CREATES October4,2012 Abstract Convergence trades exploit temporary mispricing by simultaneously buying relatively un- derpriced assets and selling short relatively overpriced assets. This paper studies optimal con- vergence trades under both recurring and non-recurring arbitrage opportunities represented by continuing and ‘stopped’ cointegrated price processes and considers both fixed and stochastic (Poisson) horizons. We demonstrate that conventional long-short delta neutral strategies are generally suboptimal and show that it can be optimal to simultaneously go long (or short) in two mispriced assets. We also find that the optimal portfolio holdings critically depend on whether the risky asset position is liquidated when prices converge. Our theoretical results are illustrated using parameters estimated on pairs of Chinese bank shares that are traded on both the Hong Kong and China stock exchanges. We find that the optimal convergence trade strategy can yield economically large gains compared to a delta neutral strategy. Key words: convergence trades; risky arbitrage; delta neutrality; optimal portfolio choice ∗The paper was previously circulated under the title Optimal Arbitrage Strategies. We thank the Editor, Pietro Veronesi, and an anonymous referee for detailed and constructive comments on the paper. We also thank Alberto Jurij Plazzi, Jun Pan, seminar participants at the CREATES workshop on Dynamic Asset Allocation, Blackrock, Shanghai Advanced Institute of Finance, and Remin University of China for helpful discussions and comments. Antonio Gargano provided excellent research assistance. Timmermann acknowledges support from CREATES, funded by the Danish National Research Foundation. †UCSD and Shanghai Advanced Institute of Finance (SAIF). -
Hedge Fund Strategies
Andrea Frazzini Principal AQR Capital Management Two Greenwich Plaza Greenwich, CT 06830 [email protected] Ronen Israel Principal AQR Capital Management Two Greenwich Plaza Greenwich, CT 06830 [email protected] Hedge Fund Strategies Prof. Andrea Frazzini Prof. Ronen Israel Course Description The class describes some of the main strategies used by hedge funds and proprietary traders and provides a methodology to analyze them. In class and through exercises and projects (see below), the strategies are illustrated using real data and students learn to use “backtesting” to evaluate a strategy. The class also covers institutional issues related to liquidity, margin requirements, risk management, and performance measurement. The class is highly quantitative. As a result of the advanced techniques used in state-of- the-art hedge funds, the class requires the students to work independently, analyze and manipulate real data, and use mathematical modeling. Group Projects The students must form groups of 4-5 members and analyze either (i) a hedge fund strategy or (ii) a hedge fund case study. Below you will find ideas for strategies or case studies, but the students are encouraged to come up with their own ideas. Each group must document its findings in a written report to be handed in on the last day of class. The report is evaluated based on quality, not quantity. It should be a maximum of 5 pages of text, double spaced, 1 inch margins everywhere, 12 point Times New Roman, Hedge Fund Strategies – Syllabus – Frazzini including references and everything else except tables and figures (each table and figure must be discussed in the text).