Consumer Bankruptcy Regimes and Credit Default in the US and Europe a Comparative Study
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201-497 UST Annual Report.Indd
U.S. Department of Justice U.S. Trustee Program United States Trustee Program Annual Report of Significant accomplishments Fiscal Year 2003 United States Trustee Program Annual Report of Significant accomplishments Fiscal Year 2003 i Table of Contents Strategic Objective; Mission Statement . 0v Message from the Attorney General . 0vi Message from the Associate Attorney General . 0vii Message from the Director . 0viii Executive Summary . 0iix Chapter 1. U.S. Trustee Program . 1 Chapter 2. Organization and Administration Organization . 3 Executive Office for U.S. Trustees . 3 Regional and Field Offices . 3 Budget and Appropriations . 4 Chapter 3. National Civil Enforcement Initiative Civil Enforcement Actions . 8 Denial or Revocation of Discharge . 8 Concealment and Failure to Disclose . 8 Credit Card Bust-Outs . 10 Serial Filers . 11 Dismissal for ‘Substantial Abuse’ . 11 Improper Conduct by Attorneys . 13 Violations by Bankruptcy Petition Preparers . 14 Serial Filings and Identity Fraud . 16 Chapter 4. Criminal Enforcement Criminal Enforcement Actions . 21 Concealment of Assets . 21 Crimes by Attorneys and Bankruptcy Petition Preparers . 23 Credit Card ‘Bust-Outs’ and Identity Fraud . 24 Other Crimes . 26 Multi-Agency Working Groups . 27 Chapter 5. Litigation in Chapter 11 Business Reorganizations U.S. Trustee’s Duties in Chapter 11 Cases . 29 Appointment of Trustee or Examiner . 30 Employment and Compensation of Professionals . 32 Preventing Delay and Preserving Assets . 34 ii Chapter 6. Trustee Oversight Chapter 7 Trustees . 37 Appointment . 37 Oversight Duties . 37 Chapter 12 and Chapter 13 Trustees . 38 Appointment . 38 Oversight Duties . 38 Computer Security . 39 Trustee Training . 39 Chapter 7. Training and Outreach National Bankruptcy Training Institute . 43 Public Outreach . -
Expected Default Frequency
CREDIT RESEARCH & RISK MEASUREMENT EDF Overview FROM MOODY’S ANALYTICS MOODY’S ANALYTICS EDF™ (EXPECTED DEFAULT FREQUENCY) ASSET VOLATILITY CREDIT MEASURES A measure of the business risk of the firm; technically, the standard EDF stands for Expected Default Frequency and is a measure of the deviation of the annual percentage change in the market value of the probability that a firm will default over a specified period of time firm’s assets. The higher the asset volatility, the less certain investors (typically one year). “Default” is defined as failure to make scheduled are about the market value of the firm, and the more likely the firm’s principal or interest payments. value will fall below its default point. According to the Moody’s EDF model, a firm defaults when the market value of its assets (the value of the ongoing business) falls DEFAULT POINT below its liabilities payable (the default point). The level of the market value of a company’s assets, below which the firm would fail to make scheduled debt payments. The default point THE COMPONENTS OF EDF is firm specific and is a function of the firm’s liability structure. It is There are three key values that determine a firm’s EDF credit measure: estimated based on extensive empirical research by Moody’s Analyt- » The current market value of the firm (market value of assets) ics, which has looked at thousands of defaulting firms, observing each firm’s default point in relation to the market value of its assets » The level of the firm’s obligations (default point) at the time of default. -
Money Market Fund Glossary
MONEY MARKET FUND GLOSSARY 1-day SEC yield: The calculation is similar to the 7-day Yield, only covering a one day time frame. To calculate the 1-day yield, take the net interest income earned by the fund over the prior day and subtract the daily management fee, then divide that amount by the average size of the fund's investments over the prior day, and then multiply by 365. Many market participates can use the 30-day Yield to benchmark money market fund performance over monthly time periods. 7-Day Net Yield: Based on the average net income per share for the seven days ended on the date of calculation, Daily Dividend Factor and the offering price on that date. Also known as the, “SEC Yield.” The 7-day Yield is an industry standard performance benchmark, measuring the performance of money market mutual funds regulated under the SEC’s Rule 2a-7. The calculation is performed as follows: take the net interest income earned by the fund over the last 7 days and subtract 7 days of management fees, then divide that amount by the average size of the fund's investments over the same 7 days, and then multiply by 365/7. Many market participates can use the 7-day Yield to calculate an approximation of interest likely to be earned in a money market fund—take the 7-day Yield, multiply by the amount invested, divide by the number of days in the year, and then multiply by the number of days in question. For example, if an investor has $1,000,000 invested for 30 days at a 7-day Yield of 2%, then: (0.02 x $1,000,000 ) / 365 = $54.79 per day. -
Personal Bankruptcy and Credit Market Competition
Federal Reserve Bank of New York Staff Reports Personal Bankruptcy and Credit Market Competition Astrid Dick Andreas Lehnert Staff Report no. 272 January 2007 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 the paper are those of the authors and are not necessarily reflective of views at the Federal Reserve Bank of New York or the Federal Reserve System. Any errors or omissions are the responsibility of the authors. Personal Bankruptcy and Credit Market Competition Astrid Dick and Andreas Lehnert Federal Reserve Bank of New York Staff Reports, no. 272 January 2007 JEL classification: K3, G2, L1 Abstract The effect of credit market competition on borrower default is theoretically ambiguous, because the quantity of credit supplied may rise or fall following an increase in competition. We investigate empirically the relationship between credit market competition, lending to households, and personal bankruptcy rates in the United States. We exploit the exogenous variation in market contestability brought on by banking deregulation at the state level: after deregulation, banks faced the threat of entry into their state markets. We find that deregulation increased competition for borrowers, prompting banks to adopt more sophisticated credit rating technology. In turn, these developments led previously excluded households to enter the credit market. We document that, following deregulation, (1) overall lending increased, (2) loss rates on loans decreased, and (3) bankruptcy rates rose. Further, we find that lending and bankruptcy rates increased more in states with greater actual (rather than potential) entry, and that credit card productivity increased after the removal of entry restrictions. -
Regional Outlook
Regional Outlook FEDERAL DEPOSIT INSURANCE CORPORATION THIRD QUARTER 1998 In Focus This Quarter FDIC ◆ The Asian Economic Crisis: Implications for the U.S. Economy—The Memphis economic crisis in Asia is now more than one year old, yet its consequences are still Region reverberating throughout the global economy. There are growing indications that some sectors of the U.S. economy are beginning to experience slower growth direct ly attributable to problems in Asia. Consequently, lenders should be cognizant of their customers’ exposure to global markets. Lending and strategic decisions pred icated on an assumption of continued robust economic growth should be carefully scrutinized. See page 3. By Paul C. Bishop ◆ CLOs Lure Another Major Bank Asset off the Balance Sheet— Securitization of corporate loans and bonds is in full swing, with 1997 issuance exceeding that of securities backed by credit card loans. Collateralized loan obliga tions (CLOs) and collateralized bond obligations, securities with deal- and issuer- specific risks, are potential bank investments that may grow in popularity if a current proposal to lower the risk weights for AAA-rated securities is enacted. Banks with an ample supply of low-margin commercial loans are expected to issue more CLOs to an increasingly demanding secondary commercial loan market. An institution’s CLO strategy may have implications that should be considered when evaluating its capital adequacy trends. See page 8. By Kathy Kalser and Allen Puwalski ◆ The Payment System: Emerging Issues—The payment system is the Division of heart of the U.S. economic infrastructure, moving value at the rate of 90 times the Insurance U.S. -
The Student Loan Default Trap Why Borrowers Default and What Can Be Done
THE STUDENT LOAN DEFAULT TraP WHY BORROWERS DEFAULT AND WHAT CAN BE DONE NCLC® NATIONAL CONSUMER July 2012 LAW CENTER® © Copyright 2012, National Consumer Law Center, Inc. All rights reserved. ABOUT THE AUTHOR Deanne Loonin is a staff attorney at the National Consumer Law Center (NCLC) and the Director of NCLC’s Student Loan Borrower Assistance Project. She was formerly a legal services attorney in Los Angeles. She is the author of numerous publications and reports, including NCLC publications Student Loan Law and Surviving Debt. Contributing Author Jillian McLaughlin is a research assistant at NCLC. She graduated from Kala mazoo College with a degree in political science. ACKNOWLEDGMENTS This report is a release of the National Consumer Law Center’s Student Loan Borrower Assistance Project (www.studentloanborrowerassistance.org). The authors thank NCLC colleagues Carolyn Carter, Jan Kruse, and Persis Yu for valuable comments and assistance. We also thank Emily Green Caplan for research assistance as well as NCLC colleagues Svetlana Ladan and Beverlie Sopiep for their assistance. We also thank the amazing advocates who helped out by surveying their clients, including Herman De Jesus and Liz Fusco with Neighborhood Economic Development Advo cacy Project and Meg Quiat, volunteer attorney at Boulder County Legal Services. This report is grounded in and inspired by the author’s work with lowincome clients. The findings and conclusions in this report are those of the author alone. NCLC’s Student Loan Borrower Assistance Project provides informa tion about student loan rights and responsibilities for borrowers and advocates. We also seek to increase public understanding of student lending issues and to identify policy solutions to promote access to education, lessen student debt burdens, and make loan repayment more manageable. -
Default Option Exercise Over the Financial Crisis and Beyond*
Review of Finance, 2021, 153–187 doi: 10.1093/rof/rfaa022 Advance Access Publication Date: 17 August 2020 Default Option Exercise over the Financial Crisis and beyond* Downloaded from https://academic.oup.com/rof/article/25/1/153/5893492 by guest on 19 February 2021 Xudong An1, Yongheng Deng2, and Stuart A. Gabriel3 1Federal Reserve Bank of Philadelphia, 2University of Wisconsin – Madison, and 3University of California, Los Angeles Anderson School of Management Abstract We document changes in borrowers’ sensitivity to negative equity and show height- ened borrower default propensity as a fundamental driver of crisis period mortgage defaults. Estimates of a time-varying coefficient competing risk hazard model reveal a marked run-up in the default option beta from 0.2 during 2003–06 to about 1.5 dur- ing 2012–13. Simulation of 2006 vintage loan performance shows that the marked upturn in the default option beta resulted in a doubling of mortgage default inci- dence. Panel data analysis indicates that much of the variation in default option ex- ercise is associated with the local business cycle and consumer distress. Results also indicate elevated default propensities in sand states and among borrowers seeking a crisis-period Home Affordable Modification Program loan modification. JEL classification: G21, G12, C13, G18 Keywords: Mortgage default, Option exercise, Default option beta, Time-varying coefficient hazard model Received August 19, 2017; accepted October 23, 2019 by Editor Amiyatosh Purnanandam. * We thank Sumit Agarwal, Yacine Ait-Sahalia, -
Why Do Borrowers Default on Mortgages? a New Method for Causal Attribution Peter Ganong and Pascal J
WORKING PAPER · NO. 2020-100 Why Do Borrowers Default on Mortgages? A New Method For Causal Attribution Peter Ganong and Pascal J. Noel JULY 2020 5757 S. University Ave. Chicago, IL 60637 Main: 773.702.5599 bfi.uchicago.edu Why Do Borrowers Default on Mortgages? A New Method For Causal Attribution Peter Ganong and Pascal J. Noel July 2020 JEL No. E20,G21,R21 ABSTRACT There are two prevailing theories of borrower default: strategic default—when debt is too high relative to the value of the house—and adverse life events—such that the monthly payment is too high relative to available resources. It has been challenging to test between these theories in part because adverse events are measured with error, possibly leading to attenuation bias. We develop a new method for addressing this measurement error using a comparison group of borrowers with no strategic default motive: borrowers with positive home equity. We implement the method using high-frequency administrative data linking income and mortgage default. Our central finding is that only 3 percent of defaults are caused exclusively by negative equity, much less than previously thought; in other words, adverse events are a necessary condition for 97 percent of mortgage defaults. Although this finding contrasts sharply with predictions from standard models, we show that it can be rationalized in models with a high private cost of mortgage default. Peter Ganong Harris School of Public Policy University of Chicago 1307 East 60th Street Chicago, IL 60637 and NBER [email protected] Pascal J. Noel University of Chicago Booth School of Business 5807 South Woodlawn Avenue Chicago, IL 60637 [email protected] 1 Introduction “To determine the appropriate public- and private-sector responses to the rise in mortgage delinquencies and foreclosures, we need to better understand the sources of this phenomenon. -
Personal Bankruptcy and the Accumulation of Shadow Debt∗
Personal Bankruptcy and the Accumulation of Shadow Debt∗ Bronson Argyle† Benjamin Iverson‡ Taylor Nadauld§ Christopher Palmer¶ May 2021 Abstract Compiling new liability-level data from the balance sheets of personal bankruptcy fil- ers, we document that a sizable share of reported liabilities are “shadow debt,” debt not reported to credit bureaus that often arises from the non-payment of goods and services. We use this new data to evaluate how debtor cash flows affect when consumers file for bankruptcy and how much debt they have at bankruptcy. We find that filers respond to a quasi-exogenous $100 increase in monthly cash flows by delaying filing by an average of one month and by increasing unsecured indebtedness by $4,000 in the months preceding filing. A large share of the additional debt incurred by delaying filers is shadow debt, and our effects are concentrated among filers without employment, health, or marriage shocks. Keywords: personal bankruptcy, unsecured debt, shadow debt ∗We thank conference and seminar participants at the AEA, AFA, Boston Federal Reserve, BYU, CFPB, Dart- mouth, the FDIC Consumer Symposium, MIT, Michigan State University, PUC Chile, the University of Rochester, and WEAI; our discussants Pat Akey, Arpit Gupta, Ryan Lewis, Feng Liu, Neale Mahoney, and Michelle White; and Carter Davis, Anthony DeFusco, Paul Goldsmith-Pinkham, Kyle Herkenhoff, Sasha Indarte, Ben Keys, Raymond Kluender, Sam Kruger, Brigitte Madrian, Gregor Matvos, Carlos Parra, Antoinette Schoar, Amit Seru, Felipe Sev- erino, Adrien Verdelhan, and Jialan Wang for helpful comments. We appreciate the research assistance of Tammy Lee, Joseph Leung, and Richard Maxwell. We benefited tremendously from helpful conversations with David Sime, Clerk of the Utah Bankruptcy Court, and thank the Utah, Minnesota, Florida North and Florida South Bankruptcy Courts for data access. -
Corporate and Personal Bankruptcy Law
LS07CH08-White ARI 1 October 2011 17:47 Corporate and Personal Bankruptcy Law Michelle J. White1,2 1Department of Economics, University of California, San Diego, La Jolla, California 92093; email: [email protected] 2Cheung Kong Graduate School of Business, and Research Associate, National Bureau of Economic Research, Cambridge, Massachusetts 02138 Annu. Rev. Law Soc. Sci. 2011. 7:139–64 Keywords The Annual Review of Law and Social Science is reorganization, liquidation, priority, absolute priority rule, default, online at lawsocsci.annualreviews.org exemptions, filtering failure, workouts, fresh start, foreclosure This article’s doi: 10.1146/annurev-lawsocsci-102510-105401 Abstract Copyright c 2011 by Annual Reviews. Bankruptcy is the legal process by which the debts of firms, individ- All rights reserved uals, and occasionally governments in financial distress are resolved. 1550-3585/11/1201-0139$20.00 by University of California - San Diego on 09/05/12. For personal use only. Bankruptcy law always includes three components. First, it provides a collective framework for simultaneously resolving all debts of the Annu. Rev. Law. Soc. Sci. 2011.7:139-164. Downloaded from www.annualreviews.org bankrupt entity, regardless of when they are due. Second, it provides rules for determining how the assets and earnings used to repay are divided among creditors. Third, bankruptcy law specifies punishments intended to discourage debtors from defaulting on their debts and fil- ing for bankruptcy. This review discusses and evaluates bankruptcy law by examining whether and when the law encourages debtors and cred- itors to behave in economically efficient ways. It also considers how bankruptcy law might be changed to improve economic efficiency. -
What Do One Million Credit Line Observations Tell Us About Exposure at Default? a Study of Credit Line Usage by Spanish Firms
What Do One Million Credit Line Observations Tell Us about Exposure at Default? A Study of Credit Line Usage by Spanish Firms Gabriel Jiménez Banco de España [email protected] Jose A. Lopez Federal Reserve Bank of San Francisco [email protected] Jesús Saurina Banco de España [email protected] DRAFT…….Please do not cite without authors’ permission Draft date: June 16, 2006 ABSTRACT Bank credit lines are a major source of funding and liquidity for firms and a key source of credit risk for the underwriting banks. In fact, credit line usage is addressed directly in the current Basel II capital framework through the exposure at default (EAD) calculation, one of the three key components of regulatory capital calculations. Using a large database of Spanish credit lines across banks and years, we model the determinants of credit line usage by firms. We find that the risk profile of the borrowing firm, the risk profile of the lender, and the business cycle have a significant impact on credit line use. During recessions, credit line usage increases, particularly among the more fragile borrowers. More importantly, we provide robust evidence of more intensive use of credit lines by borrowers that later default on those lines. Our data set allows us to enter the policy debate on the EAD components of the Basel II capital requirements through the calculation of credit conversion factors (CCF) and loan equivalent exposures (LEQ). We find that EAD exhibits procyclical characteristics and is affected by credit line characteristics, such as commitment size, maturity, and collateral requirements. -
Nber Working Papers Series
NBER WORKING PAPERS SERIES WAS THERE A BUBBLE IN THE 1929 STOCK MARKET? Peter Rappoport Eugene N. White Working Paper No. 3612 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachusetts Avenue Cambridge, MA 02138 February 1991 We have benefitted from comments made on earlier drafts of this paper by seminar participants at the NEER Summer Institute and Rutgers University. We are particularly indebted to Charles Calomiris, Barry Eicherigreen, Gikas Hardouvelis and Frederic Mishkiri for their suggestions. This paper is part of NBER's research program in Financial Markets and Monetary Economics. Any opinions expressed are those of the authors and not those of the National Bureau of Economic Research. NBER Working Paper #3612 February 1991 WAS THERE A BUBBLE IN THE 1929 STOCK MARKET? ABSTRACT Standard tests find that no bubbles are present in the stock price data for the last one hundred years. In contrast., historical accounts, focusing on briefer periods, point to the stock market of 1928-1929 as a classic example of a bubble. While previous studies have restricted their attention to the joint behavior of stock prices and dividends over the course of a century, this paper uses the behavior of the premia demanded on loans collateralized by the purchase of stocks to evaluate the claim that the boom and crash of 1929 represented a bubble. We develop a model that permits us to extract an estimate of the path of the bubble and its probability of bursting in any period and demonstrate that the premium behaves as would be expected in the presence of a bubble in stock prices.