We present evidence on the asset pricing implications of salience theory. In our model, investors overweight salient past returns when forming expectations about future returns. Consequently, investors are attracted to stocks with salient upsides, which are overvalued and earn low subsequent returns. Conversely, stocks with salient downsides are undervalued and yield high future returns. We find empirical support for these predictions in the cross section of US stocks. The salience effect is stronger among stocks with greater limits to arbitrage and during high-sentiment periods. Our results are not explained by common risk factors, return reversals, lottery demand, and attention-grabbing news events
Motivated by both statistical and psychological evidence on underreaction and over-reaction, we prop...
We analyze the likelihood of a stock being included in an investor's portfolio, utilizing a dataset ...
We conduct a laboratory experiment that tests two fundamental predictions unique to salience theory....
We present empirical evidence on the asset pricing implications of salience theory. In our model, in...
Research on human attention indicates that objects that stand out from their surroundings, i.e., sal...
We present a simple model of asset pricing in which payoff salience drives investors' demand for ris...
We present a simple model of asset pricing in which payoff salience drives investors' demand for ris...
How the investors react to the received information plays a crucial role in determining the return o...
We document asymmetric announcement effects of consumer sentiment news on United States stock and st...
We present a theory of choice among lotteries in which the decision maker's attention is drawn to (p...
We document asymmetric announcement effects of consumer sentiment news on United States stock and st...
We argue that affect plays an important role in pricing models for stocks. We exploit a novel datase...
In the first chapter, we developed a dynamic equilibrium model of multiple stocks with extrapolators...
The financial markets are full of puzzles. In the aggregate market, stocks earn returns that cannot ...
Limited attention theory predicts that higher salience of earnings news implies a stronger immediate...
Motivated by both statistical and psychological evidence on underreaction and over-reaction, we prop...
We analyze the likelihood of a stock being included in an investor's portfolio, utilizing a dataset ...
We conduct a laboratory experiment that tests two fundamental predictions unique to salience theory....
We present empirical evidence on the asset pricing implications of salience theory. In our model, in...
Research on human attention indicates that objects that stand out from their surroundings, i.e., sal...
We present a simple model of asset pricing in which payoff salience drives investors' demand for ris...
We present a simple model of asset pricing in which payoff salience drives investors' demand for ris...
How the investors react to the received information plays a crucial role in determining the return o...
We document asymmetric announcement effects of consumer sentiment news on United States stock and st...
We present a theory of choice among lotteries in which the decision maker's attention is drawn to (p...
We document asymmetric announcement effects of consumer sentiment news on United States stock and st...
We argue that affect plays an important role in pricing models for stocks. We exploit a novel datase...
In the first chapter, we developed a dynamic equilibrium model of multiple stocks with extrapolators...
The financial markets are full of puzzles. In the aggregate market, stocks earn returns that cannot ...
Limited attention theory predicts that higher salience of earnings news implies a stronger immediate...
Motivated by both statistical and psychological evidence on underreaction and over-reaction, we prop...
We analyze the likelihood of a stock being included in an investor's portfolio, utilizing a dataset ...
We conduct a laboratory experiment that tests two fundamental predictions unique to salience theory....