Securitization
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Short Sellers and Financial Misconduct 6 7 ∗ 8 JONATHAN M
jofi˙1597 jofi2009v2.cls (1994/07/13 v1.2u Standard LaTeX document class) June 25, 2010 19:56 JOFI jofi˙1597 Dispatch: June 25, 2010 CE: AFL Journal MSP No. No. of pages: 35 PE: Beetna 1 THE JOURNAL OF FINANCE • VOL. LXV, NO. 5 • OCTOBER 2010 2 3 4 5 Short Sellers and Financial Misconduct 6 7 ∗ 8 JONATHAN M. KARPOFF and XIAOXIA LOU 9 10 ABSTRACT 11 12 We examine whether short sellers detect firms that misrepresent their financial state- ments, and whether their trading conveys external costs or benefits to other investors. 13 Abnormal short interest increases steadily in the 19 months before the misrepresen- 14 tation is publicly revealed, particularly when the misconduct is severe. Short selling 15 is associated with a faster time-to-discovery, and it dampens the share price inflation 16 that occurs when firms misstate their earnings. These results indicate that short sell- 17 ers anticipate the eventual discovery and severity of financial misconduct. They also convey external benefits, helping to uncover misconduct and keeping prices closer to 18 fundamental values. 19 20 21 22 SHORT SELLING IS A CONTROVERSIAL ACTIVITY. Detractors claim that short sell- 23 ers undermine investors’ confidence in financial markets and decrease market 24 liquidity. For example, a short seller can spread false rumors about a firm 25 in which he has a short position and profit from the resulting decline in the 1 26 stock price. Advocates, in contrast, argue that short selling facilitates market 27 efficiency and the price discovery process. Investors who identify overpriced 28 firms can sell short, thereby incorporating their unfavorable information into 29 market prices. -
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. -
Auction Rate Securities 1
Auction Rate Securities 1 Auction Rate Securities (ARS) were marketed by broker-dealers to investors, including individuals, corporations and charitable foundations as liquid, short-term, cash-equivalent investments similar to traditional commercial paper. The securities, however, were long-term floating rate bonds or preferred stock with floating rate coupons which gave them a superficial similarity to short-term investments. ARS’s liquidity and similarity to short-term investments were entirely dependent on the presence of sufficient orders to buy outstanding ARS at periodic auctions in which they were bought and sold subject to a contractual ceiling on the interest rate the issuer would have to pay. If the interest rate that would clear the market was greater than this maximum rate, the auctions “failed” and existing holders of the securities were forced to hold securities they wanted to sell and had previously thought were liquid. If the demand for an ARS was too low to clear the market, broker dealers sponsoring the auction could place bids just below the maximum interest rate to clear the auction. The lower the public demand for an issue, the larger the quantity broker dealers had to buy to avoid a failed auction. Participating broker dealers had better information than public investors about the creditworthiness of the ARS issuers and were the only parties with information about the broker dealers’ holdings and inclination to abandon their support of the auctions. In addition, brokerage firms involved in the auctions knew of temporary maximum rate waivers negotiated with the issuers and the ratings agencies that allowed auctions that would have failed in late 2007 to continue to clear. -
Mortgage-Backed Securities & Collateralized Mortgage Obligations
Mortgage-backed Securities & Collateralized Mortgage Obligations: Prudent CRA INVESTMENT Opportunities by Andrew Kelman,Director, National Business Development M Securities Sales and Trading Group, Freddie Mac Mortgage-backed securities (MBS) have Here is how MBSs work. Lenders because of their stronger guarantees, become a popular vehicle for finan- originate mortgages and provide better liquidity and more favorable cial institutions looking for investment groups of similar mortgage loans to capital treatment. Accordingly, this opportunities in their communities. organizations like Freddie Mac and article will focus on agency MBSs. CRA officers and bank investment of- Fannie Mae, which then securitize The agency MBS issuer or servicer ficers appreciate the return and safety them. Originators use the cash they collects monthly payments from that MBSs provide and they are widely receive to provide additional mort- homeowners and “passes through” the available compared to other qualified gages in their communities. The re- principal and interest to investors. investments. sulting MBSs carry a guarantee of Thus, these pools are known as mort- Mortgage securities play a crucial timely payment of principal and inter- gage pass-throughs or participation role in housing finance in the U.S., est to the investor and are further certificates (PCs). Most MBSs are making financing available to home backed by the mortgaged properties backed by 30-year fixed-rate mort- buyers at lower costs and ensuring that themselves. Ginnie Mae securities are gages, but they can also be backed by funds are available throughout the backed by the full faith and credit of shorter-term fixed-rate mortgages or country. The MBS market is enormous the U.S. -
Expected Stock Returns and Volatility Kenneth R
University of Pennsylvania ScholarlyCommons Finance Papers Wharton Faculty Research 1987 Expected Stock Returns and Volatility Kenneth R. French G. William Schwert Robert F. Stambaugh University of Pennsylvania Follow this and additional works at: http://repository.upenn.edu/fnce_papers Part of the Finance Commons, and the Finance and Financial Management Commons Recommended Citation French, K. R., Schwert, G., & Stambaugh, R. F. (1987). Expected Stock Returns and Volatility. Journal of Financial Economics, 19 (1), 3-29. http://dx.doi.org/10.1016/0304-405X(87)90026-2 At the time of publication, author Robert F. Stambaugh was affiliated with the University of Chicago. Currently, he is a faculty member at the Wharton School at the University of Pennsylvania. This paper is posted at ScholarlyCommons. http://repository.upenn.edu/fnce_papers/363 For more information, please contact [email protected]. Expected Stock Returns and Volatility Abstract This paper examines the relation between stock returns and stock market volatility. We find ve idence that the expected market risk premium (the expected return on a stock portfolio minus the Treasury bill yield) is positively related to the predictable volatility of stock returns. There is also evidence that unexpected stock market returns are negatively related to the unexpected change in the volatility of stock returns. This negative relation provides indirect evidence of a positive relation between expected risk premiums and volatility. Disciplines Finance | Finance and Financial Management Comments At the time of publication, author Robert F. Stambaugh was affiliated with the University of Chicago. Currently, he is a faculty member at the Wharton School at the University of Pennsylvania. -
Hedging Credit Index Tranches Investigating Versions of the Standard Model Christopher C
Hedging credit index tranches Investigating versions of the standard model Christopher C. Finger chris.fi[email protected] Risk Management Subtle company introduction www.riskmetrics.com Risk Management 22 Motivation A standard model for credit index tranches exists. It is commonly acknowledged that the common model is flawed. Most of the focus is on the static flaw: the failure to calibrate to all tranches on a single day with a single model parameter. But these are liquid derivatives. Models are not used for absolute pricing, but for relative value and hedging. We will focus on the dynamic flaws of the model. www.riskmetrics.com Risk Management 32 Outline 1 Standard credit derivative products 2 Standard models, conventions and abuses 3 Data and calibration 4 Testing hedging strategies 5 Conclusions www.riskmetrics.com Risk Management 42 Standard products Single-name credit default swaps Contract written on a set of reference obligations issued by one firm Protection seller compensates for losses (par less recovery) in the event of a default. Protection buyer pays a periodic premium (spread) on the notional amount being protected. Quoting is on fair spread, that is, spread that makes a contract have zero upfront value at inception. www.riskmetrics.com Risk Management 52 Standard products Credit default swap indices (CDX, iTraxx) Contract is essentially a portfolio of (125, for our purposes) equally weighted CDS on a standard basket of firms. Protection seller compensates for losses (par less recovery) in the event of a default. Protection buyer pays a periodic premium (spread) on the remaining notional amount being protected. New contracts (series) are introduced every six months. -
What the United States Can Learn from the New French Law on Consumer Overindebtedness
Michigan Journal of International Law Volume 26 Issue 2 2005 La Responsabilisation de L'economie: What the United States Can Learn from the New French Law on Consumer Overindebtedness Jason J. Kilborn Louisiana State University Paul M. Hebert Law Center Follow this and additional works at: https://repository.law.umich.edu/mjil Part of the Bankruptcy Law Commons, Comparative and Foreign Law Commons, Consumer Protection Law Commons, and the Legislation Commons Recommended Citation Jason J. Kilborn, La Responsabilisation de L'economie: What the United States Can Learn from the New French Law on Consumer Overindebtedness, 26 MICH. J. INT'L L. 619 (2005). Available at: https://repository.law.umich.edu/mjil/vol26/iss2/3 This Article is brought to you for free and open access by the Michigan Journal of International Law at University of Michigan Law School Scholarship Repository. It has been accepted for inclusion in Michigan Journal of International Law by an authorized editor of University of Michigan Law School Scholarship Repository. For more information, please contact [email protected]. LA RESPONSABILISATION DE L'ECONOMIE:t WHAT THE UNITED STATES CAN LEARN FROM THE NEW FRENCH LAW ON CONSUMER OVERINDEBTEDNESS Jason J. Kilborn* I. THE DEMOCRATIZATION OF CREDIT IN A CREDITOR-FRIENDLY LEGAL SYSTEM ......................................623 A. Deregulationof Consumer Credit and the Road to O ver-indebtedness............................................................. 624 B. A Legal System Ill-Equipped to Deal with Overburdened Consumers .................................................627 1. Short-Term Payment Deferrals ...................................628 2. Restrictions on Asset Seizure ......................................629 3. Wage Exem ptions .......................................................630 II. THE BIRTH AND GROWTH OF THE FRENCH LAW ON CONSUMER OVER-INDEBTEDNESS ............................................632 A. -
Estimating Value at Risk
Estimating Value at Risk Eric Marsden <[email protected]> Do you know how risky your bank is? Learning objectives 1 Understand measures of financial risk, including Value at Risk 2 Understand the impact of correlated risks 3 Know how to use copulas to sample from a multivariate probability distribution, including correlation The information presented here is pedagogical in nature and does not constitute investment advice! Methods used here can also be applied to model natural hazards 2 / 41 Warmup. Before reading this material, we suggest you consult the following associated slides: ▷ Modelling correlations using Python ▷ Statistical modelling with Python Available from risk-engineering.org 3 / 41 Risk in finance There are 1011 stars in the galaxy. That used to be a huge number. But it’s only a hundred billion. It’s less than the national deficit! We used to call them astronomical numbers. ‘‘ Now we should call them economical numbers. — Richard Feynman 4 / 41 Terminology in finance Names of some instruments used in finance: ▷ A bond issued by a company or a government is just a loan • bond buyer lends money to bond issuer • issuer will return money plus some interest when the bond matures ▷ A stock gives you (a small fraction of) ownership in a “listed company” • a stock has a price, and can be bought and sold on the stock market ▷ A future is a promise to do a transaction at a later date • refers to some “underlying” product which will be bought or sold at a later time • example: farmer can sell her crop before harvest, -
Risk, Return, and Diversification a Reading Prepared by Pamela Peterson Drake
Risk, return, and diversification A reading prepared by Pamela Peterson Drake O U T L I N E 1. Introduction 2. Diversification and risk 3. Modern portfolio theory 4. Asset pricing models 5. Summary 1. Introduction As managers, we rarely consider investing in only one project at one time. Small businesses and large corporations alike can be viewed as a collection of different investments, made at different points in time. We refer to a collection of investments as a portfolio. While we usually think of a portfolio as a collection of securities (stocks and bonds), we can also think of a business in much the same way -- a portfolios of assets such as buildings, inventories, trademarks, patents, et cetera. As managers, we are concerned about the overall risk of the company's portfolio of assets. Suppose you invested in two assets, Thing One and Thing Two, having the following returns over the next year: Asset Return Thing One 20% Thing Two 8% Suppose we invest equal amounts, say $10,000, in each asset for one year. At the end of the year we will have $10,000 (1 + 0.20) = $12,000 from Thing One and $10,000 (1 + 0.08) = $10,800 from Thing Two, or a total value of $22,800 from our original $20,000 investment. The return on our portfolio is therefore: ⎛⎞$22,800-20,000 Return = ⎜⎟= 14% ⎝⎠$20,000 If instead, we invested $5,000 in Thing One and $15,000 in Thing Two, the value of our investment at the end of the year would be: Value of investment =$5,000 (1 + 0.20) + 15,000 (1 + 0.08) = $6,000 + 16,200 = $22,200 and the return on our portfolio would be: ⎛⎞$22,200-20,000 Return = ⎜⎟= 11% ⎝⎠$20,000 which we can also write as: Risk, return, and diversification, a reading prepared by Pamela Peterson Drake 1 ⎡⎤⎛⎞$5,000 ⎡ ⎛⎞$15,000 ⎤ Return = ⎢⎥⎜⎟(0.2) +=⎢ ⎜⎟(0.08) ⎥ 11% ⎣⎦⎝⎠$20,000 ⎣ ⎝⎠$20,000 ⎦ As you can see more immediately by the second calculation, the return on our portfolio is the weighted average of the returns on the assets in the portfolio, where the weights are the proportion invested in each asset. -
A Securitization-Based Model of Shadow Banking with Surplus Extraction and Credit Risk Transfer
A Securitization-based Model of Shadow Banking with Surplus Extraction and Credit Risk Transfer Patrizio Morganti∗ August, 2017 Abstract The paper provides a theoretical model that supports the search for yield motive of shadow banking and the traditional risk transfer view of securitization, which is consistent with the factual background that had characterized the U.S. financial system before the recent crisis. The shadow banking system is indeed an important provider of high-yield asset-backed securi- ties via the underlying securitized credit intermediation process. Investors' sentiment on future macroeconomic conditions affects the reservation prices related to the demand for securitized assets: high-willing payer (\optimistic") investors are attracted to these investment opportu- nities and offer to intermediaries a rent extraction incentive. When the outside wealth is high enough that securitization occurs, asset-backed securities are used by intermediaries to extract the highest feasible surplus from optimistic investors and to offload credit risk. Shadow banking is pro-cyclical and securitization allows risks to be spread among market participants coherently with their risk attitude. Keywords: securitization, shadow banking, credit risk transfer, surplus extraction JEL classification: E44, G21, G23 1 Introduction During the last four decades we witnessed to fundamental changes in financial techniques and financial regulation that have gradually transformed the \originate-to-hold" banking model into a \originate-to-distribute" model based on a securitized credit intermediation process relying upon i) securitization techniques, ii) securities financing transactions, and iii) mutual funds industry.1 ∗Tuscia University in Viterbo, Department of Economics and Engineering. E-mail: [email protected]. I am most grateful to Giuseppe Garofalo for his continuous guidance and support. -
Bankruptcy Futures: Hedging Against Credit Card Default
CONSUMER LENDING Bankruptcy Futures: Hedging Against Credit Card Default by Russ Ray his article discusses the new bankruptcy futures contract to be launched by the Chicago Mercantile Exchange and examines the mechanics and contract specifications of this innovation, illus- trating its hedging potential in the process. ometime during the latter half of 1999 or early Credit-card debt is becoming particularly burden- 2000, the Chicago Mercantile Exchange intends some. The average credit-card balance is approximately to launch an innovative new futures contract that $2,500, with typical households having at least three dif- will offer consumer-lending institutions, particularly ferent bank cards. The average card holder also uses six credit-card issuers, a hedge against the bankruptcies additional cards at service stations, department stores, filed by their borrowers. Bankruptcy futures—contracts specialty stores, and other vendors issuing their own cred- to buy or sell a cash-valued index based upon the cur- it cards. rent number of actual bankruptcies—will enable con- Commensurate with such increases in consumer sumer lenders to transfer default risk to other lenders debt is an ever-growing rise in consumer bankruptcies, and/or speculators holding opposite expectations. which, in turn, represent an ever-increasing proportion Significantly, this new contract also constitutes a proxy of total bankruptcies. In 1998, 96.9% of all bankruptcy variable for banks' confidence in the value and liquidity filings were personal—not business—bankruptcies. (In of their own loan portfolios, just as other proxy vari- terms of dollar volume, however, businesses continue to ables now measure consumer and investor confidence. -
Consumer Credit Access in France and America Working Paper
Regulating for Legitimacy: Consumer Credit Access in France and America Gunnar Trumbull Working Paper 11-047 Copyright © 2010 by Gunnar Trumbull Working papers are in draft form. This working paper is distributed for purposes of comment and discussion only. It may not be reproduced without permission of the copyright holder. Copies of working papers are available from the author. Regulating for Legitimacy: Consumer Credit Access in France and America Gunnar Trumbull November 2010 Abstract Theories of legitimate regulation have emphasized the role of governments either in fixing market failures to promote greater efficiency, or in restricting the efficient functioning of markets in order to pursue public welfare goals. In either case, features of markets serve to justify regulatory intervention. I argue that this causal logic must sometimes be reversed. For certain areas of regulation, its function must be understood as making markets legitimate. Based on a comparative historical analysis of consumer lending in the United States and France, I argue that national differences in the regulation of consumer credit had their roots in the historical conditions by which the small loan sector came to be legitimized. Americans have supported a liberal regulation of credit because they have been taught that access to credit is welfare promoting. This perception emerged from an historical coalition between commercial banks and NGOs that promoted credit as the solution to a range of social ills. The French regulate credit tightly because they came to see credit as both economically risky and a source of reduced purchasing power. This attitude has its roots in the early postwar lending environment, in which loans were seen to be beneficial only if they were accompanied by strong government protections.