Credit Derivatives, Leverage, and Financial Regulation's Missing Macroeconomic Dimension
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Credit Derivatives: Macro-Risk Issues
Credit Derivatives: Macro-Risk Issues Credit Derivatives, Macro Risks, and Systemic Risks by Tim Weithers University of Chicago April 20, 2007 Abstract In this paper, some of the “bigger picture” risks associated with credit derivatives are explored. After drawing a distinction between the market’s perception of credit and “real credit” as reflected in the formal definition of a “credit event”, an examination of the macro drivers of credit generally (which might then prove to be one of the catalysts for larger scale concerns with credit derivatives) is undertaken; these have been fairly well researched and documented. Next, the most frequently cited concerns with the modern credit derivative marketplace are enumerated: the exceedingly large notional traded in credit default swaps alone relative to (i.e., integer multiples of) the outstanding supply of debt (bonds and loans) in any single name, the increasing involvement of the hedge fund community in these products, and the operational concerns (lack of timely confirmations,…) which have come to light (and been publicly and roundly criticized) in the last year or two. The possibilities of associated systemic risk are subsequently considered. Credit derivatives deal with risk, involve the transfer of risk, and are, potentially, risky in and of themselves. As in any “new”market, there have been some “glitches”; some of these issues have already been addressed by the market participants and some of these entail the evolving modelling of these instruments. A brief look at the auto downgrade in March 2005 resulted in some “surprises”; part of the concern with these new (and sometimes complex) credit derivative instruments is their proper hedging, risk management, and valuation. -
Intermediary Leverage Cycles and Financial Stability Tobias Adrian and Nina Boyarchenko Federal Reserve Bank of New York Staff Reports, No
Federal Reserve Bank of New York Staff Reports Intermediary Leverage Cycles and Financial Stability Tobias Adrian Nina Boyarchenko Staff Report No. 567 August 2012 Revised February 2015 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 do not necessarily reflect the position of the Federal Reserve Bank of New York or the Federal Reserve System. Any errors or omissions are the responsibility of the author. Intermediary Leverage Cycles and Financial Stability Tobias Adrian and Nina Boyarchenko Federal Reserve Bank of New York Staff Reports, no. 567 August 2012; revised February 2015 JEL classification: E02, E32, G00, G28 Abstract We present a theory of financial intermediary leverage cycles within a dynamic model of the macroeconomy. Intermediaries face risk-based funding constraints that give rise to procyclical leverage and a procyclical share of intermediated credit. The pricing of risk varies as a function of intermediary leverage, and asset return exposures to intermediary leverage shocks earn a positive risk premium. Relative to an economy with constant leverage, financial intermediaries generate higher consumption growth and lower consumption volatility in normal times, at the cost of endogenous systemic financial risk. The severity of systemic crisis depends on two state variables: intermediaries’ leverage and net worth. Regulations that tighten funding constraints affect the systemic risk-return tradeoff by lowering the likelihood of systemic crises at the cost of higher pricing of risk. Key words: financial stability, macro-finance, macroprudential, capital regulation, dynamic equilibrium models, asset pricing _________________ Adrian, Boyarchenko: Federal Reserve Bank of New York (e-mail: [email protected], [email protected]). -
Portfolio Structuring and the Value of Forecasting
Research Foundation Briefs PORTFOLIO STRUCTURING AND THE VALUE OF FORECASTING Jacques Lussier, PhD, CFA, Editor In partnership with CFA Montréal Named Endowments The CFA Institute Research Foundation acknowledges with sincere gratitude the gen- erous contributions of the Named Endowment participants listed below. Gifts of at least US$100,000 qualify donors for membership in the Named Endow- ment category, which recognizes in perpetuity the commitment toward unbiased, practitioner-oriented, relevant research that these firms and individuals have expressed through their generous support of the CFA Institute Research Foundation. Ameritech Meiji Mutual Life Insurance Company Anonymous Miller Anderson & Sherrerd, LLP Robert D. Arnott Nikko Securities Co., Ltd. Theodore R. Aronson, CFA Nippon Life Insurance Company of Japan Asahi Mutual Life Nomura Securities Co., Ltd. Batterymarch Financial Management Payden & Rygel Boston Company Provident National Bank Boston Partners Asset Management, L.P. Frank K. Reilly, CFA Gary P. Brinson, CFA Salomon Brothers Brinson Partners, Inc. Sassoon Holdings Pte. Ltd. Capital Group International, Inc. Scudder Stevens & Clark Concord Capital Management Security Analysts Association of Japan Dai-Ichi Life Company Shaw Data Securities, Inc. Daiwa Securities Sit Investment Associates, Inc. Mr. and Mrs. Jeffrey Diermeier Standish, Ayer & Wood, Inc. Gifford Fong Associates State Farm Insurance Company Investment Counsel Association Sumitomo Life America, Inc. of America, Inc. T. Rowe Price Associates, Inc. Jacobs Levy Equity Management Templeton Investment Counsel Inc. John A. Gunn, CFA Frank Trainer, CFA John B. Neff Travelers Insurance Co. Jon L. Hagler Foundation USF&G Companies Long-Term Credit Bank of Japan, Ltd. Yamaichi Securities Co., Ltd. Lynch, Jones & Ryan, LLC Senior Research Fellows Financial Services Analyst Association For more on upcoming Research Foundation publications and webcasts, please visit www.cfainstitute.org/learning/foundation. -
Deleveraging and the Aftermath of Overexpansion
May 28th, 2009 Jeffrey Owen Herzog Deleveraging and the aftermath of overexpansion [email protected] O The deleveraging process for commercial banks is likely to last years and overshoot compared to fundamentals Banking System Asset and Leverage Growth O A strong procyclical correlation exists between asset growth and Nominal Values, 1934-2008 leverage growth over the past 75 years 25% O At the level of the firm, boom times generate decreasing 20% 1942 collateralization rates and increasing average loan sizes 15% O Given two-year loan losses of $1.1tr and leverage declines of -5% 10% 2008 to -7.5%, we expect deleveraging to curtail commercial bank 5% credit by $646bn and $687bn per year for 2009-2010 0% -5% Trends in deleveraging and commercial banking over time Leverage Growth -10% 2004 -15% 1946 Deleveraging is the process whereby commercial banks reduce their ratio of -20% assets to equity capital, thus bringing down their aggregate exposure to the 0% 5% -5% 10% 15% 20% 25% 30% economy. Many commentators point to this process as an eventual destination -10% Asset Growth for the US commercial banking system, but few have described where or how Source: FDIC we arrive at a more deleveraged commercial banking system. Commercial Bank Assets and Equity Adjusted for Inflation by CPI, $tr Over the past seventy years, the commercial banking sector’s aggregate 0.6 6 balance sheet has demonstrated a strong positive correlation between leverage and asset growth. For the banking industry, 2004 was an 0.5 5 S&L Crisis, 1989-1991 exceptionally unusual year, with equity increasing yoy by 22%. -
Facts and Challenges from the Great Recession for Forecasting and Macroeconomic Modeling
NBER WORKING PAPER SERIES FACTS AND CHALLENGES FROM THE GREAT RECESSION FOR FORECASTING AND MACROECONOMIC MODELING Serena Ng Jonathan H. Wright Working Paper 19469 http://www.nber.org/papers/w19469 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachusetts Avenue Cambridge, MA 02138 September 2013 We are grateful to Frank Diebold and two anonymous referees for very helpful comments on earlier versions of this paper. Kyle Jurado provided excellent research assistance. The first author acknowledges financial support from the National Science Foundation (SES-0962431). All errors are our sole responsibility. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. At least one co-author has disclosed a financial relationship of potential relevance for this research. Further information is available online at http://www.nber.org/papers/w19469.ack NBER working papers are circulated for discussion and comment purposes. They have not been peer- reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications. © 2013 by Serena Ng and Jonathan H. Wright. All rights reserved. Short sections of text, not to exceed two paragraphs, may be quoted without explicit permission provided that full credit, including © notice, is given to the source. Facts and Challenges from the Great Recession for Forecasting and Macroeconomic Modeling Serena Ng and Jonathan H. Wright NBER Working Paper No. 19469 September 2013 JEL No. C22,C32,E32,E37 ABSTRACT This paper provides a survey of business cycle facts, updated to take account of recent data. Emphasis is given to the Great Recession which was unlike most other post-war recessions in the US in being driven by deleveraging and financial market factors. -
Essays on Empirical Asset Pricing
Essays on Empirical Asset Pricing A THESIS SUBMITTED TO THE FACULTY OF THE GRADUATE SCHOOL OF THE UNIVERSITY OF MINNESOTA BY Junyan Shen IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY JIANFENG YU, HENGJIE AI May, 2016 c Junyan Shen 2016 ALL RIGHTS RESERVED Acknowledgements I am grateful to my advisors: Hengjie Ai and Jianfeng Yu for their valuable suggestions and continuous encouragement. I would also like to thank the rest of my committee members Frederico Belo and Erzo G.J. Luttmer. i Dedication This dissertation is dedicated to my wife and my parents - for their love, care and support. ii Abstract My dissertation investigates the interaction between macroeconomy and asset prices. On one hand, asset returns can be explained by the riskiness embedded in the economic variables; on the other hand, the aggregate economy is affected by the appropriate distri- bution of productive resources, arising from firm’s financing capability. My dissertation contains two chapters which study these two questions respectively. Chapter one explores the role of investor sentiment in the pricing of a broad set of macro-related risk factors. Economic theory suggests that pervasive factors (such as market returns and consumption growth) should be priced in the cross-section of stock returns. However, when we form portfolios based directly on their exposure to macro-related factors, we find that portfolios with higher risk exposure do not earn higher returns. More important, we discover a striking two-regime pattern for all 10 macro-related factors: high-risk portfolios earn significantly higher returns than low-risk portfolios following low-sentiment periods, whereas the exact opposite occurs following high-sentiment periods. -
1 Solving the Present Crisis and Managing the Leverage Cycle John Geanakoplos We Are at the Acute Crisis Stage of a Leverage
Solving the Present Crisis and Managing the Leverage Cycle John Geanakoplos1 We are at the acute crisis stage of a leverage cycle, a very big cycle. I write to propose a plan with concrete steps that the government could take to address the severe financial condition that we now find ourselves in. It is critical that any rescue plan be clear and transparent, implementable and not subject to fraud, and comprehensive enough to succeed and to convince the public it will succeed. The law already enacted by Congress was admittedly an emergency measure designed to staunch further immediate hemorrhaging. What to do next is the question; understanding how we got here will help us find the right set of answers. The leverage cycle is a recurring phenomenon in American financial history. Most recently, one ended in the derivatives crisis in 1994 that bankrupted Orange County, and another ended in the Emerging Markets-mortgage crisis of 1998 that bankrupted Long Term Capital. A proper understanding of the origins of the cycle shows the way to manage it and to deal with the final crisis stage. A critical aspect of the leverage cycle is that collateral margin rates change. Two years ago a home buyer could make a 5% downpayment on a house, and borrow the other 95%. Now he must put 25% down. Two years ago a mortgage security buyer could put 3% or 10% down, borrowing the rest. Now he must pay 100% in cash. All leverage cycles end with (1) bad news creating more uncertainty and disagreement, (2) sharply increasing collateral margin rates, and (3) losses and bankruptcies among the leveraged optimists. -
When Credit Bites Back: Leverage, Business Cycles, and Crises∗
February 2012 When Credit Bites Back: Leverage, Business Cycles, and Crises∗ Abstract This paper studies the role of leverage in the business cycle. Based on a study of nearly 200 recession episodes in 14 advanced countries between 1870 and 2008, we document a new stylized fact of the modern business cycle: more credit-intensive booms tend to be followed by deeper recessions and slower recoveries. We find a close relationship between the rate of credit growth relative to GDP in the expansion phase and the severity of the subsequent recession. We use local projection methods to study how leverage impacts the behavior of key macroeconomic variables such as investment, lending, interest rates, and inflation. The effects of leverage are particularly pronounced in recessions that coincide with financial crises, but are also distinctly present in normal cycles. The stylized facts we uncover lend support to the idea that financial factors play an important role in the modern business cycle. Keywords: leverage, financial crises, business cycles, local projections. JEL Codes: C14, C52, E51, F32, F42, N10, N20. Oscar` Jord`a(Federal Reserve Bank of San Francisco and University of California, Davis) e-mail: [email protected]; [email protected] Moritz Schularick (Free University of Berlin) e-mail: [email protected] Alan M. Taylor (University of Virginia, NBER, and CEPR) e-mail: [email protected] ∗The authors gratefully acknowledge financial support through a grant of the Institute for New Economic Thinking (INET) administered by the University of Virginia. Part of this research was undertaken when Schularick was a visitor at the Economics Department, Stern School of Business, New York University. -
Liquidity, Part 2: Debt, Panics, and Flight to Quality: Lecture 6
14.09: Financial Crises Lecture 6: Collateralized Debt and Information Based Panics Alp Simsek Alp Simsek () Lecture Notes 1 Revisiting runs: Is Diamond-Dybvig the whole story? Diamond-Dybvig provides a plausible account of runs in history, and after some relabeling, a contributing factor to the subprime crisis. However, there is reason to think that it might not be the whole story. Recently (and in history), much debt has been collateralized. An example of collateralized debt is repo (sale-repurchase agreement)... Alp Simsek () Lecture Notes 2 Roadmap 1 Understanding the run on the collateralized debt 2 Information insensitivity of collateralized debt 3 Information-based panics and the leverage cycle 4 Revisiting the run(s) on Bear Stearns Alp Simsek () Lecture Notes 3 Alp Simsek () Lecture Notes 4 What is repo? Repo is effectively a collateralized loan. B (the borrower/the bank), receives some money by temporarily giving collateral such as treasuries, MBSs etc to F (the financier). B pays back the loan with interest and reclaims the collateral. The loan is often short term, e.g., one day, but could also be longer. (The deal is technically structured as an initial sale of the collateral and a right to repurchase with a prespecified price that refiects the interest rate– hence the name.) Alp Simsek () Lecture Notes 5 Repo haircuts As we discussed earlier, the loan usually has a haircut or margin. Recall B could borrow ρ from the Fs by using 1 dollar of the asset as collateral. The difference, 1 ρ, would be the REPO haircut. − Alp Simsek () Lecture Notes 6 Courtesy of the American Economics Association. -
Macro Risks and the Term Structure of Interest Rates∗
Macro Risks and the Term Structure of Interest Rates∗ Geert Bekaert, Columbia University and the National Bureau of Economic Research, Eric Engstrom, Board of Governors of the Federal Reserve System Andrey Ermolov, Gabelli School of Business, Fordham University May 31, 2018 Abstract We use non-Gaussian features in U.S. macroeconomic data to identify aggregate supply and demand shocks while imposing minimal economic assumptions. Recessions in the 1970s and 1980s were driven primarily by supply shocks; later recessions by demand shocks. We estimate macro risk factors that drive \bad" (negatively skewed) and \good" (positively skewed) variation for supply and demand shocks. We document that macro risks significantly contribute to the variation of yields, risk premiums and return variances for nominal bonds. While overall bond risk premiums are counter-cyclical, an increase in aggregate demand variance significantly lowers risk premiums. Keywords: macroeconomic volatility, business cycles, bond return predictability, term premium, Great Moderation JEL codes: E31, E32, E43, E44, G12, G13 ∗Contact information: Geert Bekaert - [email protected], Eric Engstrom - eric.c. [email protected], Andrey Ermolov - [email protected]. Authors thank Michael Bauer, Mikhail Chernov, Philipp Illeditsch, Andrea Vedolin, seminar participants at Baruch College, Bilkent University, University of British Columbia, Bundesbank, City University of London, Duke, Fordham, University of Illinois at Urbana-Champaign, Imperial College, Oxford, Riksbank, Sabanci Business School, Tulane, University of North Carolina at Chapel-Hill, and Stevens Institute of Technology and conference par- ticipants at 2015 Federal Reserve Bank of San Francisco and Bank of Canada Conference on Fixed Income Markets, 2016 NBER Summer Institute, 2016 Society of Financial Econometrics Meeting, 2017 European Finance Association Meeting, 2017 NBER-NSF Time Series Conference, Spring 2018 Midwest Macroeconomics Meetings, and 2018 SFS Cavalcade North America for useful comments. -
Macro Risks and the Term Structure of Interest Rates
NBER WORKING PAPER SERIES MACRO RISKS AND THE TERM STRUCTURE OF INTEREST RATES Geert Bekaert Eric Engstrom Andrey Ermolov Working Paper 22839 http://www.nber.org/papers/w22839 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachusetts Avenue Cambridge, MA 02138 November 2016 Authors thank seminar participants at Baruch College, Bilkent University, University of British Columbia, Bundesbank, City University of London, Duke, Fordham, University of Illinois at Urbana-Champaign, Imperial College, Oxford, Riksbank, Sabanci Business School, Tulane, and University of North Carolina at Chapel-Hill and conference participants at 2015 Federal Reserve Bank of San Francisco and Bank of Canada Conference on Fixed Income Markets, 2016 NBER Summer Institute, and 2016 Society of Financial Econometrics Meeting for useful comments. All errors are the sole responsibility of the authors. The views expressed herein are those of the authors and do not necessarily reflect the views of the Federal Reserve System, its Board of Governors, or staff, nor those of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peer-reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications. © 2016 by Geert Bekaert, Eric Engstrom, and Andrey Ermolov. All rights reserved. Short sections of text, not to exceed two paragraphs, may be quoted without explicit permission provided that full credit, including © notice, is given to the source. Macro Risks and the Term Structure of Interest Rates Geert Bekaert, Eric Engstrom, and Andrey Ermolov NBER Working Paper No. 22839 November 2016 JEL No. E31,E32,E43,E44,G12,G13 ABSTRACT We extract aggregate supply and aggregate demand shocks for the US economy from macroeconomic data on inflation, real GDP growth, core inflation and the unemployment gap. -
Exchange Rate Risks and Asset Prices in a Small Open Economy
WORKING PAPER SERIES NO. 314 / MARCH 2004 EXCHANGE RATE RISKS AND ASSET PRICES IN A SMALL OPEN ECONOMY by Alexis Derviz WORKING PAPER SERIES NO. 314 / MARCH 2004 EXCHANGE RATE RISKS AND ASSET PRICES IN A SMALL OPEN ECONOMY1 by Alexis Derviz 2 In 2004 all publications will carry This paper can be downloaded without charge from a motif taken http://www.ecb.int or from the Social Science Research Network from the €100 banknote. electronic library at http://ssrn.com/abstract_id=515078. 1 This research was conducted during the author’s fellowship at the ECB DG Research sponsored by the Accession Countries Central Banks’ Economist Visiting Programme. Comments and valuable advice by Carsten Detken,Vítor Gaspar, Philipp Hartmann and ananonymous referee are gratefully acknowledged.The usual disclaimer applies.The opinions expressed herein are those of the autor(s) and do not necessarily reflect those of the ECB. 2 Czech National Bank, Monetary and Statistics Dept., Na Prikope 28, CZ-115 03 Praha 1, Czech Republic, email:[email protected] and Institute for Information Theory and Automation, Pod vodarenskou vezi 4, CZ-182 08 Praha 8, Czech Republic, e-mail: [email protected]. © European Central Bank, 2004 Address Kaiserstrasse 29 60311 Frankfurt am Main, Germany Postal address Postfach 16 03 19 60066 Frankfurt am Main, Germany Telephone +49 69 1344 0 Internet http://www.ecb.int Fax +49 69 1344 6000 Telex 411 144 ecb d All rights reserved. Reproduction for educational and non- commercial purposes is permitted provided that the source is acknowledged. The views expressed in this paper do not necessarily reflect those of the European Central Bank.