This paper develops a general equilibrium model to study the link between the amount of capital invested in housing assets and the term structure of interest rates. In the model, the production of housing assets is irreversible and housing assets can be used as collateral for borrowing funds. Agents’ decisions about consumption and investments in housing and non-housing assets generate a time-varying market price of risk that drives the dynamics of the term structure. The calibration to U.S. data using the simulated method of moments technique captures the dynamics of consumption, and the short- and long-term interest rates.

We develop and solve a model of optimal portfolio choice with transaction costs and predictability in house prices. We model house prices using a process with a time-varying expected growth rate. Housing adjustments are infrequent and characterized by both the wealth-to-housing ratio and the expected growth in house prices. We find that the housing portfolio share immediately after moving to a more valuable house is higher during periods of high expected growth in house prices. We also find that the share of wealth invested in risky assets is lower during periods of high expected growth in house prices. Finally, the decrease in risky portfolio holdings for households moving to a more valuable house is greater in high-growth periods. These findings are robust to tests using household-level data from the Panel Study of Income Dynamics (PSID) and Survey of Income and Program Participation (SIPP) surveys. The coefficients obtained using model-simulated data are consistent with those obtained in the empirical tests.

We develop and solve a model of optimal portfolio choice with transaction costs and predictability in house prices. We model house prices using a process with a time-varying expected growth rate. Housing adjustments are infrequent and characterized by both the wealth-to-housing ratio and the expected growth in house prices. We find that the housing portfolio share immediately after moving to a more valuable house is higher during periods of high expected growth in house prices. We also find that the share of wealth invested in risky assets is lower during periods of high expected growth in house prices. Finally, the decrease in risky portfolio holdings for households moving to a more valuable house is greater in high-growth periods. These findings are robust to tests using household-level data from the Panel Study of Income Dynamics (PSID) and Survey of Income and Program Participation (SIPP) surveys. The coefficients obtained using model-simulated data are consistent with those obtained in the empirical tests.

We use variation in real estate prices as exogenous shocks to firms’ debt capacity to study the causal effect of financial flexibility on payout policy. We show that an increase in financial flexibility results in higher dividends, share repurchases, and payout flexibility. We find that a 1-standard-deviation increase in a firms’ collateral value results in 0.26- and 0.55-percentage-point increases in nondiscretionary and discretionary payouts, respectively. This effect is stronger for firms with few investment opportunities. Moreover, highly leveraged firms are more likely to cut dividends in response to a sharp decrease in their financial flexibility.

We develop a dynamic model of corporate investment and financing, in which shocks to the value of collateralizable assets generate variation in firms’ debt capacity. We show that the degree of similarity among firms’ financial flexibility forecasts cross-sectional variation in return correlation. We test the implications of the model with firm-level data in two empirical analyses using i) an instrumental variable approach based on shocks to the value of collateralizable corporate assets and ii) the outbreak of the COVID-19 crisis as an event study. We find that firms in the same percentile of the cross-sectional distribution of financial flexibility have 62% higher correlation in stock-return residuals than firms 50 percentiles apart.