Reducing Moral Hazard at the Expense of Market Discipline: the Effectiveness of Double Liability Before and During the Great Depression
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Analysis of Securitized Asset Liquidity June 2017 an He and Bruce Mizrach1
Analysis of Securitized Asset Liquidity June 2017 An He and Bruce Mizrach1 1. Introduction This research note extends our prior analysis2 of corporate bond liquidity to the structured products markets. We analyze data from the TRACE3 system, which began collecting secondary market trading activity on structured products in 2011. We explore two general categories of structured products: (1) real estate securities, including mortgage-backed securities in residential housing (MBS) and commercial building (CMBS), collateralized mortgage products (CMO) and to-be-announced forward mortgages (TBA); and (2) asset-backed securities (ABS) in credit cards, autos, student loans and other miscellaneous categories. Consistent with others,4 we find that the new issue market for securitized assets decreased sharply after the financial crisis and has not yet rebounded to pre-crisis levels. Issuance is below 2007 levels in CMBS, CMOs and ABS. MBS issuance had recovered by 2012 but has declined over the last four years. By contrast, 2016 issuance in the corporate bond market was at a record high for the fifth consecutive year, exceeding $1.5 trillion. Consistent with the new issue volume decline, the median age of securities being traded in non-agency CMO are more than ten years old. In student loans, the average security is over seven years old. Over the last four years, secondary market trading volumes in CMOs and TBA are down from 14 to 27%. Overall ABS volumes are down 16%. Student loan and other miscellaneous ABS declines balance increases in automobiles and credit cards. By contrast, daily trading volume in the most active corporate bonds is up nearly 28%. -
Mortgage Securitization, Structuring and Moral Hazard: Some Evidence and Some Lessons from the Great Crash
Mortgage Securitization, Structuring & Moral Hazard 521 INTERNATIONAL REAL ESTATE REVIEW 2018 Vol. 21 No. 4: pp. 521 – 547 Mortgage Securitization, Structuring and Moral Hazard: Some Evidence and Some Lessons from the Great Crash Robert Van Order Department of Finance, George Washington University, Funger Hall 2201 G Street NW, Suite 501-A, Washington, DC 20052, Email: [email protected] Securitization provides borrowers with access to capital markets, most notably as an alternative to bank lending. However, it has also used complicated structures in order to attract investors. Complicated structures can provide, and have provided, vehicles for hiding risk and inducing moral hazard, which were at the center of the Great Crash. This paper provides descriptions of structures and increasing complexity over time. It suggests where moral hazard would have been expected to show up, empirically, and provides some evidence of moral hazard based on the timing of the changes in the structures. Keywords Securitization, Subprime, Moral Hazard 522 Van Order 1. Introduction Securitization provides borrowers with access to capital markets, particularly as an alternative to bank lending. That is useful. Most securitization involves assets with default risk, which can be difficult for investors to understand. That property is generally good collateral mitigates default risk and makes mortgages prime targets for securitization. However, not all mortgage types are easy to securitize. While collateral does mitigate default, default behavior varies considerably across borrowers for the same collateral measure, e.g., loan to value (LTV) ratio, thus making valuation complicated and subject to “unobserved” heterogeneity.1 Hence, there is potential for loan sellers to exploit the information deficiencies of loan buyers. -
Asset Securitization
L-Sec Comptroller of the Currency Administrator of National Banks Asset Securitization Comptroller’s Handbook November 1997 L Liquidity and Funds Management Asset Securitization Table of Contents Introduction 1 Background 1 Definition 2 A Brief History 2 Market Evolution 3 Benefits of Securitization 4 Securitization Process 6 Basic Structures of Asset-Backed Securities 6 Parties to the Transaction 7 Structuring the Transaction 12 Segregating the Assets 13 Creating Securitization Vehicles 15 Providing Credit Enhancement 19 Issuing Interests in the Asset Pool 23 The Mechanics of Cash Flow 25 Cash Flow Allocations 25 Risk Management 30 Impact of Securitization on Bank Issuers 30 Process Management 30 Risks and Controls 33 Reputation Risk 34 Strategic Risk 35 Credit Risk 37 Transaction Risk 43 Liquidity Risk 47 Compliance Risk 49 Other Issues 49 Risk-Based Capital 56 Comptroller’s Handbook i Asset Securitization Examination Objectives 61 Examination Procedures 62 Overview 62 Management Oversight 64 Risk Management 68 Management Information Systems 71 Accounting and Risk-Based Capital 73 Functions 77 Originations 77 Servicing 80 Other Roles 83 Overall Conclusions 86 References 89 ii Asset Securitization Introduction Background Asset securitization is helping to shape the future of traditional commercial banking. By using the securities markets to fund portions of the loan portfolio, banks can allocate capital more efficiently, access diverse and cost- effective funding sources, and better manage business risks. But securitization markets offer challenges as well as opportunity. Indeed, the successes of nonbank securitizers are forcing banks to adopt some of their practices. Competition from commercial paper underwriters and captive finance companies has taken a toll on banks’ market share and profitability in the prime credit and consumer loan businesses. -
Credit Default Swaps and Lender Moral Hazard∗
Credit Default Swaps and Lender Moral Hazard∗ Indraneel Chakraborty Sudheer Chava Rohan Ganduri November 19, 2014 Preliminary and Incomplete. Please do not circulate ∗Indraneel Chakraborty: Cox School of Business, Southern Methodist University, Dallas, TX 75275. Email: [email protected]. Phone: (214) 768-1082 Fax: (214) 768-4099. Sudheer Chava: Scheller College of Business, Georgia Institute of Technology, Atlanta, GA 30308. Email: [email protected]. Phone: (404) 894-4371. Rohan Ganduri: Scheller College of Business, Georgia Institute of Technology, Atlanta, GA 30308. Email: [email protected]. Phone: (404) 385-5109. Abstract We analyze whether introduction of Credit Default Swaps (CDSs) on borrowers' debt misaligns incentives between banks and borrowers in the private debt market. In contrast to predictions of an empty creditor problem, after a covenant violation, CDS firms do not become distressed or go bankrupt at a higher rate than firms without CDS. But, consistent with lender moral hazard, CDS firms do not decrease their investment after a covenant violation, even those that are more prone to agency issues. In line with increased bargaining power of lenders, CDS firms pay a significantly higher spread on loans issued after covenant violations compared with non-CDS firms that violate covenants. These results are magnified when lenders have weaker incentives to monitor (higher purchase of credit derivatives, higher amount of securitization and higher non- interest income). Finally, consistent with our evidence of lender moral hazard, we document positive abnormal returns around bank loan announcements only for non- CDS firms, but not for CDS firms. JEL Code: G21, G31, G32. -
Systemic Moral Hazard Beneath the Financial Crisis
Seton Hall University eRepository @ Seton Hall Law School Student Scholarship Seton Hall Law 5-1-2014 Systemic Moral Hazard Beneath The inF ancial Crisis Xiaoming Duan Follow this and additional works at: https://scholarship.shu.edu/student_scholarship Recommended Citation Duan, Xiaoming, "Systemic Moral Hazard Beneath The inF ancial Crisis" (2014). Law School Student Scholarship. 460. https://scholarship.shu.edu/student_scholarship/460 The financial crisis in 2008 is the greatest economic recession since the "Great Depression of the 1930s." The federal government has pumped $700 billion dollars into the financial market to save the biggest banks from collapsing. 1 Five years after the event, stock markets are hitting new highs and well-healed.2 Investors are cheering for the recovery of the United States economy.3 It is important to investigate the root causes of this failure of the capital markets. Many have observed that the sudden collapse of the United States housing market and the increasing number of unqualified subprime mortgages are the main cause of this economic failure. 4 Regulatory responses and reforms were requested right after the crisis occurred, as in previous market upheavals where we asked ourselves how better regulation could have stopped the market catastrophe and prevented the next one. 5 I argue that there is an inherent and systematic moral hazard in our financial systems, where excessive risk-taking has been consistently allowed and even to some extent incentivized. Until these moral hazards are eradicated or cured, our financial system will always face the risk of another financial crisis. 6 In this essay, I will discuss two systematic moral hazards, namely the incentive to take excessive risk and the incentive to underestimate risk. -
Asset Pricing with Liquidity Risk∗
Asset Pricing with Liquidity Risk∗ Viral V. Acharyay and Lasse Heje Pedersenz First Version: July 10, 2000 Current Version: September 24, 2004 Abstract This paper solves explicitly an equilibrium asset pricing model with liq- uidity risk — the risk arising from unpredictable changes in liquidity over time. In our liquidity-adjusted capital asset pricing model, a security's re- quired return depends on its expected liquidity as well as on the covariances of its own return and liquidity with market return and market liquidity. In addition, the model shows how a negative shock to a security's liquidity, if it is persistent, results in low contemporaneous returns and high predicted future returns. The model provides a simple, unified framework for under- standing the various channels through which liquidity risk may affect asset prices. Our empirical results shed light on the total and relative economic significance of these channels. ∗We are grateful for conversations with Andrew Ang, Joseph Chen, Sergei Davydenko, Fran- cisco Gomes, Joel Hasbrouck, Andrew Jackson, Tim Johnson, Martin Lettau, Anthony Lynch, Stefan Nagel, Lubos Pastor, Tano Santos, Dimitri Vayanos, Luis Viceira, Jeff Wurgler, and semi- nar participants at London Business School, London School of Economics, New York University, the National Bureau of Economic Research (NBER) Summer Institute 2002, the Five Star Confer- ence 2002, Western Finance Association Meetings 2003, and the Texas Finance Festival 2004. We are especially indebted to Yakov Amihud and to an anonymous referee for help and many valuable suggestions. All errors remain our own. yAcharya is at London Business School and is a Research Affiliate of the Centre for Eco- nomic Policy Research (CEPR). -
Liquidity Risk Management
BASEL III FRAMEWORK Liquidity Risk Management Rules and Guidelines November 2018 Table of Contents TABLE OF CONTENTS ...................................................................................................................................... 2 LIST OF ACRONYMS ......................................................................................................................................... 4 PART I – LIQUIDITY RISK MANAGEMENT FRAMEWORK ............................................................... 5 1. BACKGROUND AND OVERVIEW ............................................................................................................................ 5 2. SCOPE OF APPLICATION ...................................................................................................................................... 5 3. STATEMENT OF OBJECTIVES ................................................................................................................................ 5 4. ONGOING LIQUIDITY MANAGEMENT ................................................................................................................... 5 5. MEASURING AND MONITORING LIQUIDITY REQUIREMENTS ............................................................................. 7 6. MANAGING MARKET ACCESS .............................................................................................................................. 9 7. CONTINGENCY PLANNING ................................................................................................................................... -
IBOR to RFR Transition
Changing the world’s most important number IBOR to RFR transition March 2021 home.kpmg/in 2 Foreword For more than three decades, London Interbank all 35 LIBOR settings at once, giving firms a Offered Rate (‘LIBOR’) has been integrated in clear set of deadlines across all currencies and financial markets, serving as the benchmark tenors. FCA issued that all seven tenors for for borrowings, loans and derivative contracts. both euro and Swiss franc LIBOR, overnight, LIBOR has hence been called the ‘world’s one-week, two-month and 12-month sterling most important number’ as it is hardwired LIBOR, spot next, one-week, two-month and in all financial activities, such as treasury, 12-month yen LIBOR and one-week and two- risk management, accounting including month U.S. dollar LIBOR will permanently hedge accounting, valuation and commercial cease immediately after 31 December 2021. contracts. Following the global financial crisis, Overnight and 12-month U.S. dollar LIBOR regulators discovered that the banks entrusted settings publication will cease immediately after to set the rates underpinning hundreds of 30 June 2023. trillions of dollars of financial assets had been In response, the regulators and market manipulating them to their advantage, raising participants across the globe have been questions about the future sustainability of developing new benchmarks to replace Libor LIBOR. Regulators globally have signaled clearly by the end of 2021. With 31 December 2021, that institutions should transition away from in plain sight, and FCA announcement on the Interbank Offered Rate (IBOR) to alternative LIBOR cessation, preparation for the transition overnight risk-free rates (RFRs). -
Securitization, Monetary Policy and Bank Stability
Securitization, Monetary Policy and Bank Stability Mohamed Bakousha,1,∗, Tapas Mishraa,2, Simon Wolfea,3, aSouthampton Business School, University of Southampton, UK Abstract We provide new evidence about the effect of securitization activities on bank stability and systemic risk in the run-up to and following the global financial crisis by consid- ering the role of monetary policy interest rates. In so doing, we propose S{score as a new measure of the net effect of securitization activities on bank stability. Analyzing the dynamics of this measure at the individual bank level and the banking system level shows that securitization activities have a destabilizing effect on banks. We also find that securitization increases commonality of asset returns among banks leading to increased interconnectedness and systemic risk. We also find that low monetary policy interest rates in the aftermath of the global financial crisis have mitigated the destabilizing effect of securitization on banks. Keywords: Securitization, Bank Profitability, Bank Risk, Bank Stability, Systemic Risk; Monetary Policy JEL Classification: G21; G10 ∗Corresponding Author (Email: [email protected]). 1Mohamed Bakoush is an Assistant Professor in Banking and Finance, Southampton Business School, University of Southampton. (Email: [email protected]) 2Tapas Mishra is a Professor of Banking and Finance, Southampton Business School, University of Southampton. (Email: [email protected]) 3Simon Wolfe is a Professor of Banking and Finance, Southampton Business School, University of Southampton.(Email: [email protected]) Preprint submitted to Elsevier December 31, 2019 1. Introduction Securitization has fundamentally altered the way in which financial intermediation is organized as it has provided banks with an innovative way to improve efficiency and performance. -
COVID-19 Impact on Bank Liquidity Risk Management and Response
COVID-19 impact on bank liquidity risk management and response Overview As a result of COVID-19 and the actions In response to the recent adverse market the economy during adverse situations taken by governments and businesses activity, the Federal Reserve Board such as the impacts of COVID-19 and to to help mitigate the impact, financial (the Fed) has taken steps to stabilize the enable banks to continue lending. The Fed is institutions have been challenged in their financial markets through the purchase of encouraging banks to use their capital and ability to manage and report on their Treasuries and government guaranteed liquidity buffers as they make loans available liquidity positions and funding capabilities. mortgage-backed securities, reviving to households and businesses affected by Regulatory requirements put in place the Primary Dealer Credit Facility to offer the COVID-19 restrictions, assuming this after 2008 were designed to improve loans to securities firms, reestablishing lending is done in a safe and sound manner2. banks’ ability to meet funding obligations the Money Market Mutual Fund Facility, by establishing liquidity buffers, and to and substantially expanding its repo Industry challenges in liquidity implement contingency funding plans operations1 The Fed has also encouraged and funding risk management (CFPs) to guide banks during times of crisis. banks to start borrowing from its discount However, recent equity market volatility, window and regulators have extended the Although the Fed has taken steps to stabilize liquidity tightening, widening funding timeline for certain regulatory requirements the market and make funding available, spreads, operational fails, and (e.g. the Current Expected Credit Losses many banks have already activated their other challenges have put significant implementation) in an effort to reduce CFPs and are actively managing and pressure on bank liquidity some pressure on bank resources. -
Health Effects of Containing Moral Hazard: Evidence from Disability Insurance Reform
IZA DP No. 8386 Health Effects of Containing Moral Hazard: Evidence from Disability Insurance Reform Pilar García-Gómez Anne C. Gielen August 2014 DISCUSSION PAPER SERIES Forschungsinstitut zur Zukunft der Arbeit Institute for the Study of Labor Health Effects of Containing Moral Hazard: Evidence from Disability Insurance Reform Pilar García-Gómez Erasmus University Rotterdam, Netspar and Tinbergen Institute Anne C. Gielen Erasmus University Rotterdam, IZA, Netspar and Tinbergen Institute Discussion Paper No. 8386 August 2014 IZA P.O. Box 7240 53072 Bonn Germany Phone: +49-228-3894-0 Fax: +49-228-3894-180 E-mail: [email protected] Any opinions expressed here are those of the author(s) and not those of IZA. Research published in this series may include views on policy, but the institute itself takes no institutional policy positions. The IZA research network is committed to the IZA Guiding Principles of Research Integrity. The Institute for the Study of Labor (IZA) in Bonn is a local and virtual international research center and a place of communication between science, politics and business. IZA is an independent nonprofit organization supported by Deutsche Post Foundation. The center is associated with the University of Bonn and offers a stimulating research environment through its international network, workshops and conferences, data service, project support, research visits and doctoral program. IZA engages in (i) original and internationally competitive research in all fields of labor economics, (ii) development of policy concepts, and (iii) dissemination of research results and concepts to the interested public. IZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. -
Moral Hazard and Investment-Cash-Flow Sensitivity
Moral Hazard and Investment-Cash-Flow Sensitivity Hengjie Ai, Kai Li, and Rui Li∗ February 13, 2017 Abstract We develop a dynamic model of investment with moral hazard to provide a micro-foundation for financing constraints. In the model, standard investment- cash-flow sensitivity regressions will find a small coefficient on Tobin's Q and a large and significant coefficient on cash flow. Our calibration replicates the empirical fact that larger and more mature firms are less financially constrained but have higher investment-cash-flow sensitivity. Our theory therefore resolves the long-standing puzzle of the existence of the investment-cash-flow sensitivity and the seemingly weak relationship between investment-cash-flow sensitivity and the severity of financing constraints documented by Kaplan and Zingales (1997) and many others. Keywords: Financing constraints, dynamic moral hazard, Q theory, investment- cash-flow sensitivity ∗Hengjie Ai ([email protected]) is at the Carlson School of Management of University of Minnesota; Kai Li ([email protected]) is associated with Hong Kong University of Science and Technology; and Rui Li ([email protected]) is associated with University of Massachusetts Boston. We thank Murray Frank, participants of the Finance Workshop at the University of Minnesota and brownbag workshop at the Federal Reserve Bank of Minneapolis for their helpful comments. The usual disclaimer applies. 1 I Introduction The neoclassical investment theory implies that firms’ investment should not respond to any other variables after controlling for Tobin's Q, or the ratio of firms’ market value to the replacement cost of their capital stock. Empirically, however, regressions of in- vestment on Tobin's Q and cash flow typically have a large coefficient on cash flow and a small coefficient on Tobin's Q.