This paper presents a simple rational expectations model of intertemporal asset pricing. It shows that state-independent heterogeneous risk aversion of investors is likely to generate declining aggregate relative risk aversion. This leads to predictability of asset returns and high and persistent volatility. Stock market crashes may be observed if relative risk aversion differs strongly across investors. Then aggregate relative risk aversion may sharply increase given a small impairment in fundamentals so that asset prices may strongly decline. Changes in aggregate relative risk aversion may also lead to resistance and support levels as used in technical analysis. For numerical illustration we propose an analytical asset price formula.Aggre...
This paper brings together two separate and important topics in finance: the predictability of aggr...
We develop a structural asset pricing model to investigate the relationship between stock market ris...
After lying dormant for more than two decades, the rare disaster framework has emerged as a leading ...
This paper presents a simple rational expectations model of intertemporal asset pricing. It shows th...
This paper analyzes the e¤ect of non-constant elasticity of the pricing kernel on asset return chara...
A theory is developed that explains how stocks can crash without fundamental news and why crashes ar...
The mean, co-variability, and predictability of the return of different classes of financial assets ...
This paper shows the dynamics of diverse beliefs is the primary propagation mechanism of volatility ...
We study a standard consumption based asset pricing model with rational investors who entertain subj...
This paper demonstrates that an asset pricing model with least-squares learning can lead to bubbles ...
40 p.This paper advocates a theory of expectation formation that incorporates many of the central m...
The paper estimates and examines the empirical plausibiltiy of asset pricing models that attempt to ...
The booms and busts in U.S. stock prices over the post-war period can to a large extent be explained...
Why is the equity premium so high, and why are stocks so volatile? Why are stock returns in excess o...
We develop a structural asset pricing model to investigate the relationship between stock market ris...
This paper brings together two separate and important topics in finance: the predictability of aggr...
We develop a structural asset pricing model to investigate the relationship between stock market ris...
After lying dormant for more than two decades, the rare disaster framework has emerged as a leading ...
This paper presents a simple rational expectations model of intertemporal asset pricing. It shows th...
This paper analyzes the e¤ect of non-constant elasticity of the pricing kernel on asset return chara...
A theory is developed that explains how stocks can crash without fundamental news and why crashes ar...
The mean, co-variability, and predictability of the return of different classes of financial assets ...
This paper shows the dynamics of diverse beliefs is the primary propagation mechanism of volatility ...
We study a standard consumption based asset pricing model with rational investors who entertain subj...
This paper demonstrates that an asset pricing model with least-squares learning can lead to bubbles ...
40 p.This paper advocates a theory of expectation formation that incorporates many of the central m...
The paper estimates and examines the empirical plausibiltiy of asset pricing models that attempt to ...
The booms and busts in U.S. stock prices over the post-war period can to a large extent be explained...
Why is the equity premium so high, and why are stocks so volatile? Why are stock returns in excess o...
We develop a structural asset pricing model to investigate the relationship between stock market ris...
This paper brings together two separate and important topics in finance: the predictability of aggr...
We develop a structural asset pricing model to investigate the relationship between stock market ris...
After lying dormant for more than two decades, the rare disaster framework has emerged as a leading ...