Our new model of consumption-based habit formation preferences generates loglinear, homoskedastic macroeconomic dynamics and time-varying risk premia on bonds and stocks. Consumers' first-order condition for the real risk-free interest rate takes the form of an exactly loglinear consumption Euler equation, commonly assumed in New Keynesian models. Estimating the model separately for 1979-2001 and 2001-2011 explains why the exposure of US Treasury bonds to the stock market changed from positive to negative. A change in the comovement between inflation and the output gap explains changing bond risks, but only when risk premia change endogenously as predicted by the model.

This paper investigates the efficiency of household investment decisions using comprehensive disaggregated Swedish data. We consider two main sources of inefficiency: underdiversification ("down") and nonparticipation in risky asset markets ("out"). While a few households are very poorly diversified, most Swedish households outperform the Sharpe ratio of their domestic stock index through international diversification. Financially sophisticated households invest more efficiently but also more aggressively, and overall they incur higher return losses from underdiversification. The return cost of nonparticipation is smaller by almost one-half when we take account of the fact that nonparticipants would likely be inefficient investors.

We build a cross‐sectional factor model for investors' direct stockholdings and estimate it using data from almost 10 million retail accounts in the Indian stock market. Our model identifies strong investor clienteles for stock characteristics, most notably firm age and share price, and for particular clusters of stock characteristics. These clienteles are intuitively associated with investor attributes such as account age, size, and diversification. Coheld stocks tend to have higher return covariance, inconsistent with simple models of diversification but suggestive that clientele demands influence stock returns.

This paper solves numerically the intertemporal consumption and portfolio choice problem of an infinitely-lived investor who faces a time-varying equity premium. The solutions we obtain are very similar to the approximate analytical solutions of Campbell and Viceira (1999), except at the upper extreme of the state space where both the numerical consumption and portfolio rules flatten out. We also consider a constrained version of the problem in which the investor faces borrowing and short-sales restrictions. These constraints bind when the equity premium moves away from its mean in either direction, and are particularly severe for risk-tolerant investors. The constraints have substantial effects on optimal consumption, but much more modest effects on optimal portfolio choice in the region of the state space where they are not binding.

This paper estimates the cross‐sectional distribution of Epstein‐Zin preferences using the wealth and risky portfolio shares of a large panel of Swedish households. We find modestly heterogeneous risk aversion (standard deviation 0.97, median 7.50) and a meaningfully heterogeneous and right‐skewed time preference rate (TPR; standard deviation 7.31%, median 4.08%) and elasticity of intertemporal substitution (EIS; standard deviation 3.17, median 0.70). Risk aversion and the EIS are only very weakly negatively correlated. We estimate lower risk aversion for households with riskier labor income, and a higher TPR and lower EIS for households that enter our sample with low wealth.

This paper uses data on all house transactions in Massachusetts over the last 20 years to show that houses sold after foreclosure, or close in time to the death or bankruptcy of a seller, are sold at lower prices than other houses. Foreclosure discounts are on average at 27 percent of the value of a house. Moreover, foreclosures that take place within small local geographies of a house lower the price at which it is sold. Our preferred estimate is that a foreclosure at a distance of 0.05 miles lowers the price of a house by about 1 percent. JEL: D14, R31

This paper uses a disaggregated approach to study the volatility of common stocks at the market, industry, and firm levels. Over the period from 1962 to 1997 there has been a noticeable increase in firm‐level volatility relative to market volatility. Accordingly, correlations among individual stocks and the explanatory power of the market model for a typical stock have declined, whereas the number of stocks needed to achieve a given level of diversification has increased. All the volatility measures move together countercyclically and help to predict GDP growth. Market volatility tends to lead the other volatility series. Factors that may be responsible for these findings are suggested.

We build an empirical model to attribute delays in mortgage refinancing to psychological costs inhibiting refinancing until incentives are sufficiently strong; and behavior, potentially attributable to information-gathering costs, lowering the probability of household refinancing per unit time at any incentive. We estimate the model on administrative panel data from Denmark, where mortgage refinancing without cash-out is unconstrained. Middle-aged and wealthy households act as if they have high psychological refinancing costs; but older, poorer, and less-educated households refinance with lower probability irrespective of incentives, thereby achieving lower savings. We use the model to understand frictions in the mortgage channel of monetary policy transmission.