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“…For instance, Goetzman, Peng and Yen (2009) find that cities with higher past price increases experienced higher demand for mortgages, and, at least for subprime loans, higher approval probabilities. Relatedly, Gerardi et al (2008) show that many mortgage market participants in 2005 and 2006 were aware that, if house prices fall, many mortgage borrowers would default. However, market participants only assigned a very low probability to such an event.…”
Section: The Prevalence Of Extrapolation Biasmentioning
A large body of empirical evidence suggests that beliefs systematically deviate from perfect rationality. Much of the evidence implies that economic agents tend to form forecasts that are excessively influenced by recent changes. We present a parsimonious quasi-rational model that we call natural expectations, which falls between rational expectations and (na�ve) intuitive expectations. (Intuitive expectations are formed by running growth regressions with a limited number of right-hand-side variables, and this leads to excessively extrapolative beliefs in certain classes of environments). Natural expectations overstate the long-run persistence of economic shocks. In other words, agents with natural expectations turn out to form beliefs that don't sufficiently account for the fact that good times (or bad times) won't last forever. We embed natural expectations in a simple dynamic macroeconomic model and compare the simulated properties of the model to the available empirical evidence. The model's predictions match many patterns observed in macroeconomic and financial time series, such as high volatility of asset prices, predictable up-and-down cycles in equity returns, and a negative relationship between current consumption growth and future equity returns.
“…For instance, Goetzman, Peng and Yen (2009) find that cities with higher past price increases experienced higher demand for mortgages, and, at least for subprime loans, higher approval probabilities. Relatedly, Gerardi et al (2008) show that many mortgage market participants in 2005 and 2006 were aware that, if house prices fall, many mortgage borrowers would default. However, market participants only assigned a very low probability to such an event.…”
Section: The Prevalence Of Extrapolation Biasmentioning
A large body of empirical evidence suggests that beliefs systematically deviate from perfect rationality. Much of the evidence implies that economic agents tend to form forecasts that are excessively influenced by recent changes. We present a parsimonious quasi-rational model that we call natural expectations, which falls between rational expectations and (na�ve) intuitive expectations. (Intuitive expectations are formed by running growth regressions with a limited number of right-hand-side variables, and this leads to excessively extrapolative beliefs in certain classes of environments). Natural expectations overstate the long-run persistence of economic shocks. In other words, agents with natural expectations turn out to form beliefs that don't sufficiently account for the fact that good times (or bad times) won't last forever. We embed natural expectations in a simple dynamic macroeconomic model and compare the simulated properties of the model to the available empirical evidence. The model's predictions match many patterns observed in macroeconomic and financial time series, such as high volatility of asset prices, predictable up-and-down cycles in equity returns, and a negative relationship between current consumption growth and future equity returns.
“…References in this regard, expressly concerned with the subprime crisis, include Foote et al (2008), Gerardi et al (2007), Sherlund (2008), Demyanyk and Van Hemert (2011), Gerardi et al (2009), Bajari et al (2008, Elul et al (2010), andHaughwout et al (2009). The paper most similar to our first-stage analysis, in terms of approach, is Sherlund (2008), who also works within a competing hazard framework and who employs covariates similar to ours.…”
Section: Review Of Subprime Crisis Literaturementioning
“…13 See e.g. Gerardi et al (2007Gerardi et al ( , 2008Gerardi et al ( , 2009 or Guiso et al (forthcoming). 14 See, e.g., Gerardi et al (2007Gerardi et al ( , 2008Gerardi et al ( , 2009).…”
Section: A Model Of Secured Borrowing With Defaultmentioning
confidence: 97%
“…See also Araujo et al (1998Araujo et al ( , 2005. 5 The fast growing literature on the foreclosure crisis includes Chatterjee and Eyigungor (2009), Foote et al (2008a), ), Gerardi et al (2007, 2008. 6 See e.g.…”
The extent of lender recourse following contractual default varies greatly across economies. Intuitively, one would expect these differences to matter for default behavior at the micro-economic level and for equilibrium quantities. The objective of this paper is to study an equilibrium model in the spirit of Dubey et al. (Econometrica 73(1):1-37, 2005) where the implications of recourse for default patterns can be characterized. Under plausible conditions, broader recourse causes yields at origination and default rates to fall for a given set of observable borrower characteristics. On the other hand, the effect of broader recourse on average default rates and the quantity of loans issued is deeply ambiguous because the composition of the pool of borrowers can change. Raising the fraction of assets subject to recourse can well increase equilibrium default rates. I discuss the implications of these results for how one should test empirically whether recourse statutes matter for loss severity rates and the frequency of default in secured loan markets.
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