This article presents a model that incorporates habit formation and long-run risks into the Epstein–Zin preferences, and reveals intertemporal substitution as a distinctive channel, separate from risk aversion, in generating key asset market phenomena. With habit formation, both the risk aversion and intertemporal substitution channels enhance the market price of short-run consumption risk. With long-run risks, intertemporal substitution reduces the market prices of long-run consumption risks, working against risk aversion. The contrasting effects of the intertemporal substitution channel drive key differences in the model implications of habit formation and long-run risks.

Consistent with the empirical properties of the consumption data, I develop a model in which consumption and dividend growth follow regime-switching dynamics. I show that regime-shift risk is priced in the model. Regime-shift risk exhibits dominant influence on asset prices: It generates a high equity premium and also induces time-varying risk premiums. The model explains major business cycle-dependent asset market phenomena and, in particular, the stronger predictability of stock returns during recessions.

Durable consumption growth is persistent and predicted by the price–dividend ratio. This provides strong and direct evidence for the existence of a highly persistent expected component. Durable consumption growth is left-skewed and exhibits time-varying volatility. I model durable consumption growth as containing a persistent expected component and driven by counter-cyclical volatility, nondurable consumption as a random walk, and dividend growth as exposed to the expected component of durable consumption growth. Together with nonseparable Epstein-Zin preferences, the model demonstrates that long-run risk in durable consumption can explain major asset market phenomena. The model also generates an upward-sloping real term structure.

[This article develops and empirically implements an arbitrage-free, dynamic term structure model with "priced" factor and regime-shift risks. The risk factors are assumed to follow a discrete-time Gaussian process, and regime shifts are governed by a discrete-time Markov process with state-dependent transition probabilities. This model gives closed-form solutions for zero-coupon bond prices, an analytic representation of the likelihood function for bond yields, and a natural decomposition of expected excess returns to components corresponding to regime-shift and factor risks. Using monthly data on U.S. Treasury zero-coupon bond yields, we show a critical role of priced, state-dependent regime-shift risks in capturing the time variations in expected excess returns, and document notable differences in the behaviors of the factor risk component of the expected returns across high and low volatility regimes. Additionally, the state dependence of the regime-switching probabilities is shown to capture an interesting asymmetry in the cyclical behavior of interest rates. The shapes of the term structure of volatility of bond yield changes are also very different across regimes, with the well-known hump being largely a low-volatility regime phenomenon.]

We analyze the contribution of leisure preferences to a model of long-run risks in leisure and consumption growth. The marginal utility of consumption is affected by short- and long-run risks in leisure under nonseparable and recursive preferences. We match equity risk premia and macroeconomic moments with plausible coefficients of relative-risk aversion. Additionally, the model generates a less negative to positively sloped average real yield curve, depending on the elasticity of substitution between the consumption of nondurables and services and leisure. Further, the incorporation of leisure in utility allows us to derive model implications for the return on human capital.

Friedman et al. (2003) develop a model in which, in equilibrium, controlling shareholders may choose either tunneling or propping of their listed companies depending on the magnitude of an adverse shock and the magnitude of the private benefits of control. In this paper, we employ connected transaction data from China to test the implications of their model. We hypothesize that, when listed companies are financially healthy (in financial distress), their controlling shareholders are more likely to conduct connected transactions to tunnel (prop up) their listed companies and the market reacts unfavorably (favorably) to the announcement of these transactions. Our empirical findings strongly support our hypotheses. We also find that all of the transaction types in our sample can be used for tunneling or propping depending on different financial situations of the firms. Finally, political connection is negatively associated with the announcement effect. Overall, our analysis supports Friedman et al.'s (2003) model by furnishing clear evidence for propping and tunneling to occur in the same company but at different times.

Federal research funding is a key input into scientific work, but funding streams can be disrupted. We study how delays in renewed NIH research grants affect lab personnel’s careers, linking grant records to university payroll, tax, Census, and publication data. Using a difference-in-differences design, we find that interruptions of at least 30 days increase nonemployment among personnel in labs supported by a single NIH R01 grant by 3 percentage points, or 40%. Among those who remain employed in the US, earnings decrease by 20%. The results show that short funding gaps can alter career trajectories, especially for trainees.

This article develops and empirically implements an arbitrage-free, dynamic term structure model with “priced” factor and regime-shift risks. The risk factors are assumed to follow a discrete-time Gaussian process, and regime shifts are governed by a discrete-time Markov process with state-dependent transition probabilities. This model gives closed-form solutions for zero-coupon bond prices, an analytic representation of the likelihood function for bond yields, and a natural decomposition of expected excess returns to components corresponding to regime-shift and factor risks. Using monthly data on U.S. Treasury zero-coupon bond yields, we show a critical role of priced, state-dependent regime-shift risks in capturing the time variations in expected excess returns, and document notable differences in the behaviors of the factor risk component of the expected returns across high and low volatility regimes. Additionally, the state dependence of the regime-switching probabilities is shown to capture an interesting asymmetry in the cyclical behavior of interest rates. The shapes of the term structure of volatility of bond yield changes are also very different across regimes, with the well-known hump being largely a low-volatility regime phenomenon.

We provide the first comprehensive and robust evidence on the relationship between board independence and firm performance in China. We find that independent directors have an overall positive effect on firm operating performance in China. Our findings are robust to a battery of tests, including endogeneity checks using instrumental variables, the dynamic generalized method of moments estimator, and the difference-in-differences method. The positive relationship between board independence and firm performance is stronger in government-controlled firms and in firms with lower information acquisition costs. We also document that Chinese independent directors play an important role in constraining insider self-dealing and improving investment efficiency.