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Journal ArticleDOI

Forced Sales and House Prices

01 Aug 2011-The American Economic Review (American Economic Association)-Vol. 101, Iss: 5, pp 2108-2131
TL;DR: The market for housing differs in several important ways from the textbook model of a liquid asset market with exogenous fundamentals as mentioned in this paper, which implies that the price at which a house is sold can be influenced not only by general supply and demand conditions, but also by idiosyncratic factors, including the urgency of the sale and the effects of ownership transfer on the physical quality of the house.
Abstract: The market for housing differs in several important ways from the textbook model of a liquid asset market with exogenous fundamentals. This implies that the price at which a house is sold can be influenced not only by general supply and demand conditions, but also by idiosyncratic factors, including the urgency of the sale and the effects of the ownership transfer on the physical quality of the house. First, houses are productive only when people are living in them. Owning an empty house is equivalent to throwing away the dividend on a financial asset. Second, houses are fragile assets that need maintenance, and are vulnerable to van dalism. Unoccupied houses are particularly vulnerable and expensive to protect. Third, short-term rental contracts involve high transactions costs, resulting from the moving costs of renters and the need of homeowners to protect their property against damage. Fourth, houses are expensive, indivisible, and heterogeneous assets. Each house has certain unique characteristics which are likely to appeal to certain poten tial buyers and not to others, so selling a house requires matching it with an appro priate buyer. Because of the high costs of intermediation in housing, this task is normally undertaken by a real estate broker rather than a dealer. Fifth, most home owners must finance their purchases using mortgages, collateralized debt contracts that transfer home ownership to the mortgage lender through a foreclosure process if the homeowner defaults. The expansion of mortgage credit in the early 2000s and the recent decline in house prices have led to an unprecedented increase in foreclosures since 2006. Foreclosures transfer houses to financial institutions which must maintain and pro tect them until they can be sold. Foreclosed houses are likely to sell at low prices, both because they may have been physically damaged during the foreclosure pro cess, and because financial institutions have an incentive to sell them quickly. In a liquid market, an asset can be sold rapidly with a minimal impact on its price, but

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TL;DR: How financial literacy is measured in the current literature is considered, and how well the existing literature addresses whether financial education improves financial literacy or personal financial outcomes is examined.
Abstract: In this article we review the literature on financial literacy, financial education, and consumer financial outcomes. We consider how financial literacy is measured in the current literature, and examine how well the existing literature addresses whether financial education improves financial literacy or personal financial outcomes. We discuss the extent to which a competitive market provides incentives for firms to educate consumers or offer products that facilitate informed choice. We review the literature on alternative policies to improve financial outcomes, and compare the evidence to evidence on the efficacy and cost of financial education. Finally, we discuss directions for future research.

484 citations

Journal ArticleDOI
TL;DR: In this article, the authors estimate the willingness to pay for reductions in crime risk using the location and move-in dates of sex offenders and find significant effects of sex offender's locations that are geographically localized.
Abstract: We estimate the willingness to pay for reductions in crime risk using the location and move-in dates of sex offenders. We find significant effects of sex offenders' locations that are geographically localized. House prices within 0.1 miles of a sex offender fall by 4 percent on average. We then use this finding to estimate the costs to victims of sexual offenses, and find costs of over $1 million per victim—far greater than previous estimates. However, we cannot reject the alternative hypotheses that individuals overestimate risks posed by offenders or that living near an offender poses significant costs exclusive of crime risk. (JEL K42, R23, R31)

435 citations

Journal ArticleDOI
TL;DR: A review of the literature on fire sales in financial markets can be found in this paper, where the authors focus on the role of asset "fire sales" in depleting the balance sheets of financial institutions and aggravating the fragility of the financial system.
Abstract: Analysts of the recent financial crisis often refer to the role of asset "fire sales" in depleting the balance sheets of financial institutions and aggravating the fragility of the financial system. The term "fire sale" has been around since the nineteenth century to describe firms selling smoke-damaged merchandise at cut-rate prices in the aftermath of a fire. But what are fire sales in broad financial markets with hundreds of participants? As we suggested in a 1992 paper, a fire sale is essentially a forced sale of an asset at a dislocated price. The asset sale is forced in the sense that the seller cannot pay creditors without selling assets. The price is dislocated because the highest potential bidders are typically involved in a similar activity as the seller, and are therefore themselves indebted and cannot borrow more to buy the asset. Indeed, rather than bidding for the asset, they might be selling similar assets themselves. Assets are then bought by nonspecialists who, knowing that they have less expertise with the assets in question, are only willing to buy at valuations that are much lower. In this paper, we selectively review some of the research on fire sales, emphasizing both concepts and supporting evidence. We begin by describing our 1992 model of fire sales and the related findings in empirical corporate finance. We then show that models of fire sales can account for several related phenomena during the recent financial crisis, including the contraction of the banking system and the failures of arbitrage in financial markets exemplified by historically unprecedented differences in prices of very similar securities. We then link fire sales to macroeconomics by discussing how such dislocations of security prices and the reduction in balance sheets of banks can reduce investment and output. Finally, we consider how the concept of fire sales can help us think about government interventions in financial markets, including the evidently successful Federal Reserve interventions in 2009. Fire sales are surely not the whole story of the financial crisis, but they are a phenomenon that binds together many elements of the crisis.

432 citations

Journal ArticleDOI
TL;DR: It is argued that if regulation is to be beneficial, it must be tailored to specific problems and must be accompanied by research to measure the effectiveness of regulatory interventions.
Abstract: The recent financial crisis has led many to question how well businesses deliver services and how well regulatory institutions address problems in consumer financial markets. This paper discusses consumer financial regulation, emphasizing the full range of arguments for regulation that derive from market failure and from limited consumer rationality in financial decision making. We present three case studies--of mortgage markets, payday lending, and financing retirement consumption--to illustrate the need for, and limits of, regulation. We argue that if regulation is to be beneficial, it must be tailored to specific problems and must be accompanied by research to measure the effectiveness of regulatory interventions.

337 citations

Journal ArticleDOI
TL;DR: In this article, the authors quantify the effect of recourse on default and find that recourse affects default by lowering the borrower's sensitivity to negative equity, and that defaults are more likely to occur through a lender-friendly procedure, such as a deed in lieu, in states that allow deficiency judgments.
Abstract: We quantify the effect of recourse on default and find that recourse affects default by lowering the borrower's sensitivity to negative equity. At the mean value of the default option for defaulted loans, borrowers are 30% more likely to default in non-recourse states. Furthermore, for homes appraised at $500,000 to $750,000, borrowers are twice as likely to default in non-recourse states. We also find that defaults are more likely to occur through a lender-friendly procedure, such as a deed in lieu, in states that allow deficiency judgments. We find no evidence that mortgage interest rates are lower in recourse states. The Author 2011. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com., Oxford University Press.

332 citations

References
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Journal ArticleDOI
TL;DR: The relationship between co-integration and error correction models, first suggested in Granger (1981), is here extended and used to develop estimation procedures, tests, and empirical examples.
Abstract: The relationship between co-integration and error correction models, first suggested in Granger (1981), is here extended and used to develop estimation procedures, tests, and empirical examples. If each element of a vector of time series x first achieves stationarity after differencing, but a linear combination a'x is already stationary, the time series x are said to be co-integrated with co-integrating vector a. There may be several such co-integrating vectors so that a becomes a matrix. Interpreting a'x,= 0 as a long run equilibrium, co-integration implies that deviations from equilibrium are stationary, with finite variance, even though the series themselves are nonstationary and have infinite variance. The paper presents a representation theorem based on Granger (1983), which connects the moving average, autoregressive, and error correction representations for co-integrated systems. A vector autoregression in differenced variables is incompatible with these representations. Estimation of these models is discussed and a simple but asymptotically efficient two-step estimator is proposed. Testing for co-integration combines the problems of unit root tests and tests with parameters unidentified under the null. Seven statistics are formulated and analyzed. The critical values of these statistics are calculated based on a Monte Carlo simulation. Using these critical values, the power properties of the tests are examined and one test procedure is recommended for application. In a series of examples it is found that consumption and income are co-integrated, wages and prices are not, short and long interest rates are, and nominal GNP is co-integrated with M2, but not M1, M3, or aggregate liquid assets.

27,170 citations

Journal ArticleDOI
TL;DR: In this paper, the authors explore the determinants of liquidation values of assets, particularly focusing on the potential buyers of assets and use this focus on asset buyers to explain variation in debt capacity across industries and over the business cycle.
Abstract: We explore the determinants of liquidation values of assets, particularly focusing on the potential buyers of assets. WVhen a firm in financial distress needs to sell assets, its industry peers are likely to be experiencing problems themselves, leading to asset sales at prices below value in best use. Such illiquidity makes assets cheap in bad times, and so ex ante is a significant private cost of leverage. We use this focus on asset buyers to explain variation in debt capacity across industries and over the business cycle, as well as the rise in U.S. corporate leverage in the 1980s. How DO FIRMS CHOOSE debt levels, and why do firms or even whole industries sometimes change how much debt they have? Why, for example, have American firms increased their leverage in the 1980s (Bernanke and Campbell (1988), Warshawsky (1990)), and why has this debt increase been the greatest in some industries, such as food and timber? Despite substantial progress in research on leverage, these questions remain largely open. In this paper, we explore an approach to debt capacity based on the cost of asset sales. We argue that the focus on asset sales and liquidations helps clarify the crosssectional determinants of leverage, as well as why debt increased in the 1980s. Williamson (1988) stresses the link between debt capacity and the liquidation value of assets. He argues that assets which are redeployable-have alternative uses-also have high liquidation values. For example, commercial land can be used for many different purposes. Such assets are good candidates for debt finance because, if they are managed improperly, the manager will be unable to pay the debt, and then creditors will take the assets away from him and redeploy them. Williamson thus identifies one important determinant of liquidation value and debt capacity, namely, asset redeploya

2,821 citations

Journal ArticleDOI
TL;DR: In this article, the effective bid-ask spread is measured by Spread = 2−cov where cov is the first-order serial covariance of price changes, and is shown empirically to be closely related to firm size.
Abstract: In an efficient market, the fundamental value of a security fluctuates randomly. However, trading costs induce negative serial dependence in successive observed market price changes. In fact, given market efficiency, the effective bid-ask spread can be measured by Spread=2−cov where “cov” is the first-order serial covariance of price changes. This implicit measure of the bid-ask spread is derived formally and is shown empirically to be closely related to firm size.

2,781 citations

Journal ArticleDOI
TL;DR: In this paper, the authors proposed a cointegrated model where a variable Y[sub t] is proportional to the present value, with constant discount rate, of expected future values of a variable y[subt] and the "spread" S [sub t]= Y[Sub t] -[theta sub t] will be stationary for some [theta] whether or not y(sub t) must be differenced to induce stationarity.
Abstract: In a model where a variable Y[sub t] is proportional to the present value, with constant discount rate, of expected future values of a variable y[sub t] the "spread" S[sub t]= Y[sub t] - [theta sub t] will be stationary for some [theta] whether or not y[sub t]must be differenced to induce stationarity. Thus, Y[sub t] and y[sub t] are cointegrated. The model implies that S[sub t] is proportional to the optimal forecast of [delta Y{sub t+1}] and also to the optimal forecast of S*[sub t], the present value of future [delta y{sub t}]. We use vector autoregressive methods, and recent literature on cointegrated processes, to test the model. When Y[sub t] is the long-term interest rate and y[sub t] the short-term interest rate, we find in postwar U.S. data that S[sub t] behaves much like an optimal forecast of S*[sub t] even though as earlier research has shown it is negatively correlated with [delta Y{sub t+1}]. When Y[sub t] is a real stock price index and y[sub t] the corresponding real dividend, using annual U.S. data for 1871-1986 we obtain less encouraging results for the model, al-though the results are sensitive to the assumed discount rate.

1,788 citations

Posted Content
TL;DR: In this paper, the efficiency of single family home prices is evaluated using repeat sales prices of 39,210 individual homes in Atlanta, Chicago, Dallas, and San Francisco/Oakland for 1970-86.
Abstract: Tests of the efficiency of single family home prices are performed using repeat sales prices of 39,210 individual homes in Atlanta, Chicago, Dallas, and San Francisco/Oakland for 1970-86. The market does not appear to be efficient. Year-to-year changes in prices tend to be followed by changes in the same direction in the subsequent year. Moreover, information about real interest rates does not appear to be incorporated in prices. There is, thus, a profitable trading rule for persons who are free to time the purchase of their homes. Still, overall, individual housing price changes are not very forecastable. Copyright 1989 by American Economic Association.

1,362 citations