Systemic Moral Hazard Beneath the Financial Crisis
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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. -
Financial Literacy and Portfolio Diversification
WORKING PAPER NO. 212 Financial Literacy and Portfolio Diversification Luigi Guiso and Tullio Jappelli January 2009 University of Naples Federico II University of Salerno Bocconi University, Milan CSEF - Centre for Studies in Economics and Finance DEPARTMENT OF ECONOMICS – UNIVERSITY OF NAPLES 80126 NAPLES - ITALY Tel. and fax +39 081 675372 – e-mail: [email protected] WORKING PAPER NO. 212 Financial Literacy and Portfolio Diversification Luigi Guiso and Tullio Jappelli Abstract In this paper we focus on poor financial literacy as one potential factor explaining lack of portfolio diversification. We use the 2007 Unicredit Customers’ Survey, which has indicators of portfolio choice, financial literacy and many demographic characteristics of investors. We first propose test-based indicators of financial literacy and document the extent of portfolio under-diversification. We find that measures of financial literacy are strongly correlated with the degree of portfolio diversification. We also compare the test-based degree of financial literacy with investors’ self-assessment of their financial knowledge, and find only a weak relation between the two measures, an issue that has gained importance after the EU Markets in Financial Instruments Directive (MIFID) has required financial institutions to rate investors’ financial sophistication through questionnaires. JEL classification: E2, D8, G1 Keywords: Financial literacy, Portfolio diversification. Acknowledgements: We are grateful to the Unicredit Group, and particularly to Daniele Fano and Laura Marzorati, for letting us contribute to the design and use of the UCS survey. European University Institute and CEPR. Università di Napoli Federico II, CSEF and CEPR. Table of contents 1. Introduction 2. The portfolio diversification puzzle 3. The data 4. -
The Challenges of Risk Management in Diversified Financial Companies
Christine M. Cumming and Beverly J. Hirtle The Challenges of Risk Management in Diversified Financial Companies • Although the benefits of a consolidated, or n recent years, financial institutions and their supervisors firmwide, system of risk management are Ihave placed increased emphasis on the importance of widely recognized, financial firms have consolidated risk management. Consolidated risk traditionally taken a more segmented management—sometimes also called integrated or approach to risk measurement and control. enterprisewide risk management—can have many specific meanings, but in general it refers to a coordinated process for • The cost of integrating information across measuring and managing risk on a firmwide basis. Interest in business lines and the existence of regulatory consolidated risk management has arisen for a variety of barriers to moving capital and liquidity within reasons. Advances in information technology and financial a financial organization appear to have engineering have made it possible to quantify risks more discouraged firms from adopting consolidated precisely. The wave of mergers—both in the United States and risk management. overseas—has resulted in significant consolidation in the financial services industry as well as in larger, more complex financial institutions. The recently enacted Gramm-Leach- • In addition, there are substantial conceptual Bliley Act seems likely to heighten interest in consolidated risk and technical challenges to be overcome in management, as the legislation opens the door to combinations developing risk management systems that of financial activities that had previously been prohibited. can assess and quantify different types of risk This article examines the economic rationale for managing across a wide range of business activities. -
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 Risk Through Securitization: the Result of Deregulation and Regulatory Failure
Revised Feb. 9, 2009 Systemic Risk Through Securitization: The Result of Deregulation and Regulatory Failure by Patricia A. McCoy, * Andrey D. Pavlov, † and Susan M. Wachter ‡ Abstract This paper argues that private-label securitization without regulation is unsustainable. Without regulation, securitization allowed mortgage industry actors to gain fees and to put off risks. During the housing boom, the ability to pass off risk allowed lenders and securitizers to compete for market share by lowering their lending standards, which activated more borrowing. Lenders who did not join in the easing of lending standards were crowded out of the market. In theory, market controls in the form of risk pricing could have constrained heightened mortgage risk without additional regulation. But in reality, as the mortgages underlying securities became more exposed to growing default risk, investors did not receive higher rates of return. Artificially low risk premia caused the asset price of houses to go up, leading to an asset bubble and creating a breeding ground for market fraud. The consequences of lax lending were covered up and there was no immediate failure to discipline the markets. The market might have corrected this problem if investors had been able to express their negative views by short selling mortgage-backed securities, thereby allowing fundamental market value to be achieved. However, the one instrument that could have been used to short sell mortgage-backed securities – the credit default swap – was also infected with underpricing due to lack of minimum capital requirements and regulation to facilitate transparent pricing. As a result, there was no opportunity for short selling in the private-label securitization market. -
Financial Risk Management Insights CGI & Aalto University Collaboration
Financial Risk Management Insights CGI & Aalto University Collaboration Financial Risk Management Insights - CGI & Aalto University Collaboration ABSTRACT As worldwide economy is facing far-reaching impacts aggravated by the global COVID-19 pandemic, the financial industry faces challenges that exceeds anything we have seen before. Record unemployment and the likelihood of increasing loan defaults have put significant pressure on financial institutions to rethink their lending programs and practices. The good news is that financial sector has always adapted to new ways of working. Amidst the pandemic crisis, CGI decided to collaborate with Aalto University in looking for ways to challenge conventional ideas and coming up with new, innovative approaches and solutions. During the summer of 2020, Digital Business Master Class (DBMC) students at Aalto University researched the applicability and benefits of new technologies to develop financial institutions’ risk management. The graduate-level students with mix of nationalities and areas of expertise examined the challenge from multiple perspectives and through business design methods in cooperation with CGI. The goal was to present concept level ideas and preliminary models on how to predict and manage financial risks more effectively and real-time. As a result, two DBMC student teams delivered reports outlining the opportunities of emerging technologies for financial institutions’ risk assessments beyond traditional financial risk management. 2 CONTENTS Introduction 4 Background 5 Concept -
Systemic Risk in Global Banking: What Can Available
BIS Working Papers No 376 Systemic Risks in Global Banking: What Can Available Data Tell Us and What More Data Are Needed? by Eugenio Cerutti, Stijn Claessens and Patrick McGuire Monetary and Economic Department April 2012 JEL classification: F21, F34, G15, G18, Y1 Keywords: Systemic risks, banking system, international, contagion, vulnerabilities BIS Working Papers are written by members of the Monetary and Economic Department of the Bank for International Settlements, and from time to time by other economists, and are published by the Bank. The papers are on subjects of topical interest and are technical in character. The views expressed in them are those of their authors and not necessarily the views of the BIS. This publication is available on the BIS website (www.bis.org). © Bank for International Settlements 2012. All rights reserved. Brief excerpts may be reproduced or translated provided the source is stated. ISSN 1020-0959 (print) ISSN 1682-7678 (online) Systemic Risks in Global Banking: What Can Available Data Tell Us and What More Data Are Needed? Eugenio Cerutti, Stijn Claessens and Patrick McGuire1 Abstract The recent financial crisis has shown how interconnected the financial world has become. Shocks in one location or asset class can have a sizable impact on the stability of institutions and markets around the world. But systemic risk analysis is severely hampered by the lack of consistent data that capture the international dimensions of finance. While currently available data can be used more effectively, supervisors and other agencies need more and better data to construct even rudimentary measures of risks in the international financial system. -
A Framework for Assessing the Systemic Risk of Major Financial Institutions
Finance and Economics Discussion Series Divisions of Research & Statistics and Monetary Affairs Federal Reserve Board, Washington, D.C. A Framework for Assessing the Systemic Risk of Major Financial Institutions Xin Huang, Hao Zhou, and Haibin Zhu 2009-37 NOTE: Staff working papers in the Finance and Economics Discussion Series (FEDS) are preliminary materials circulated to stimulate discussion and critical comment. The analysis and conclusions set forth are those of the authors and do not indicate concurrence by other members of the research staff or the Board of Governors. References in publications to the Finance and Economics Discussion Series (other than acknowledgement) should be cleared with the author(s) to protect the tentative character of these papers. A framework for assessing the systemic risk of major financial insti- tutions† a, b c Xin Huang ∗, Hao Zhou and Haibin Zhu aDepartment of Economics, University of Oklahoma bRisk Analysis Section, Federal Reserve Board cBank for International Settlements This version: May 2009 Abstract In this paper we propose a framework for measuring and stress testing the systemic risk of a group of major financial institutions. The systemic risk is measured by the price of insur- ance against financial distress, which is based on ex ante measures of default probabilities of individual banks and forecasted asset return correlations. Importantly, using realized correla- tions estimated from high-frequency equity return data can significantly improve the accuracy of forecasted correlations. Our stress testing methodology, using an integrated micro-macro model, takes into account dynamic linkages between the health of major US banks and macro- financial conditions. Our results suggest that the theoretical insurance premium that would be charged to protect against losses that equal or exceed 15% of total liabilities of 12 major US financial firms stood at $110 billion in March 2008 and had a projected upper bound of $250 billion in July 2008. -
100 F Sti·Eet NE Washington, DC 20549-1090 Via Email to [email protected]
The Shareholder Commons PO Box 7545 Wilmington, DE 19803-545 Frederick H. Alexander June 14, 2021 Vanessa A. Countiyman Secretaiy Securities and Exchange Commission 100 F Sti·eet NE Washington, DC 20549-1090 Via email to [email protected] RE: Response to request for public input on climate-related disclosure Dear Ms. Countlyman: The Shareholder Commons is a non-profit organization that seeks to shift the paradigm of investing away from its sole focus on individual company value and towards a systems-first approach to investing that better serves investors and their beneficia1ies. In pa1ticular, we act as a voice for long-te1m, diversified shareholders. Together with the undersigned, we ask that you consider the following critical factors in addressing climate-related disclosure. Effective stewardship requires inside-out information The global economy relies on numerous environmental and social common-pool resources goods that companies can access for free but are depleted when ovemsed. Carbon sinks- vegetative and oceanic systems that absorb more cai·bon than they emit- are ai1 example of such a resource, in that they help to prevent the most catastrophic impacts of climate change but ai·e threatened by deforestation, euti·ophication, and other impacts of commercial activity. Another example is public health, which constitutes a common social resource because a healthy population provides labor productivity and innovation and limits healthcai·e costs but is subject to depletion by companies that emit carcinogens or sell products that lead to obesity and other health hazards. Individual companies fmai1cially benefit by externalizing costs and depleting such common goods when the return to the business from that free (to it) consumption outweighs any diluted cost it might shai·e as a paiticipai1t in the economy. -
COVID-19 Managing Cash Flow During a Period of Crisis
COVID-19: Managing cash flow during a period of crisis COVID-19 Managing cash flow during a period of crisis i COVID-19: Managing cash flow during a period of crisis ii COVID-19: Managing cash flow during a period of crisis As a typical “black swan” event, COVID-19 took the world by complete surprise. This newly identified coronavirus was first seen in Wuhan, the capital of Hubei province in central China, on December 31, 2019. As we enter March 2020, the virus has infected over 90,000 people, and led to more than 3,000 deaths. More importantly, more than 75 countries are now reporting positive cases of COVID-19 as the virus spreads globally, impacting communities, ecosystems, and supply chains far beyond China. The focus of most businesses is now on protecting employees, understanding the risks to their business, and managing the supply chain disruptions caused by the efforts to contain the spread of COVID-19. The full impact of this epidemic on businesses and supply chains is still unknown, with the most optimistic forecasts predicting that normalcy in China may return by April,1 with a full global recovery lagging depending on how other geographies are ultimately affected by the virus. However, one thing is certain: this event will have global economic and financial ramifications that will be felt throughout global supply chains, from raw materials to finished products. Our recent report, COVID-19: Managing supply chain risk and disruption, provided 25 recommendations for companies that have business relationships and supply chain flows to and/or from China and other impacted geographies. -
Value-At-Risk Under Systematic Risks: a Simulation Approach
International Research Journal of Finance and Economics ISSN 1450-2887 Issue 162 July, 2017 http://www.internationalresearchjournaloffinanceandeconomics.com Value-at-Risk Under Systematic Risks: A Simulation Approach Arthur L. Dryver Graduate School of Business Administration National Institute of Development Administration, Thailand E-mail: [email protected] Quan N. Tran Graduate School of Business Administration National Institute of Development Administration, Thailand Vesarach Aumeboonsuke International College National Institute of Development Administration, Thailand Abstract Daily Value-at-Risk (VaR) is frequently reported by banks and financial institutions as a result of regulatory requirements, competitive pressures, and risk management standards. However, recent events of economic crises, such as the US subprime mortgage crisis, the European Debt Crisis, and the downfall of the China Stock Market, haveprovided strong evidence that bad days come in streaks and also that the reported daily VaR may be misleading in order to prevent losses. This paper compares VaR measures of an S&P 500 index portfolio under systematic risks to ones under normal market conditions using a historical simulation method. Analysis indicates that the reported VaR under normal conditions seriously masks and understates the true losses of the portfolio when systematic risks are present. For highly leveraged positions, this means only one VaR hit during a single day or a single week can wipe the firms out of business. Keywords: Value-at-Risks, Simulation methods, Systematic Risks, Market Risks JEL Classification: D81, G32 1. Introduction Definition Value at risk (VaR) is a common statistical technique that is used to measure the dollar amount of the potential downside in value of a risky asset or a portfolio from adverse market moves given a specific time frame and a specific confident interval (Jorion, 2007). -
Guidance for Managing Third-Party Risk
GUIDANCE FOR MANAGING THIRD-PARTY RISK Introduction An institution’s board of directors and senior management are ultimately responsible for managing activities conducted through third-party relationships, and identifying and controlling the risks arising from such relationships, to the same extent as if the activity were handled within the institution. This guidance includes a description of potential risks arising from third-party relationships, and provides information on identifying and managing risks associated with financial institutions’ business relationships with third parties.1 This guidance applies to any of an institution’s third-party arrangements, and is intended to be used as a resource for implementing a third-party risk management program. This guidance provides a general framework that boards of directors and senior management may use to provide appropriate oversight and risk management of significant third-party relationships. A third-party relationship should be considered significant if the institution’s relationship with the third party is a new relationship or involves implementing new bank activities; the relationship has a material effect on the institution’s revenues or expenses; the third party performs critical functions; the third party stores, accesses, transmits, or performs transactions on sensitive customer information; the third party markets bank products or services; the third party provides a product or performs a service involving subprime lending or card payment transactions; or the third party poses risks that could significantly affect earnings or capital. The FDIC reviews a financial institution’s risk management program and the overall effect of its third-party relationships as a component of its normal examination process.