Aggregate asset growth— …rst di¤erences of the logarithm of household net worth— can capture time variation in changes in expected returns in quarterly and annual horizons in which stock returns have virtually zero autocorrelations. Regressions of changes in stock returns on aggregate asset growth provide stable estimates of slope coe¢ cients over time, which improve out-of-sample predictabilit...

The paper attempts to find the evidence of a multi factor model for explaining stock price returns in the Indian stock market. It makes use of the technique of statistical factor analysis. The results of the factor analysis show that a five factor model is appropriate for explaining the returns generation process in India. The explanatory power of this five factor model is significantly better ...

Our evidence on the stock price reaction to the announcement of short-term executive compensation plan adoption indicates that: (1) significantly positive abnormal returns occur in the month of announcement and in the four months before the bonus plan adoption, and (2) significantly positive abnormal returns occur 10 months after the adoption announcement, returns that are associated with posit...

We propose a model for stochastic formation of opinion clusters, modeled by an evolving network, and herd behavior to account for the observed fat-tail distribution in returns of financial-price data. The only parameter of the model is h, the rate of information dispersion per trade, which is a measure of herding behavior. For h below a critical h(*) the system displays a power-law distribution...

We introduce a simple asset pricing model with two types of adaptively learning traders, fundamentalists and technical traders. Traders update their beliefs according to past performance and to market conditions. The model generates endogenous price uctuations and captures some stylized facts observed in real returns data, such as excess volatility, fat tails of returns distributions, volatilit...

One of the most prominent stylized facts in corporate finance is that firms are more likely to issue equity following periods of high stock returns. We document that firms exhibit such timing behavior only in response to high returns that coincide with strong institutional investor demand for their stock. When not accompanied by institutional purchases, stock price increases have little impact ...

We introduce a simple generalization of rational bubble models which removes the fundamental problem discovered by [Lux and Sornette, 1999] that the distribution of returns is a power law with exponent less than 1, in contradiction with empirical data. Our model predicts that, the higher is the market remuneration above the discount rate, the thinner is the tail of price returns but the larger ...

The business media play an active role in influencing stock prices. Statistically significant excess returns at the time of the publication of stock recommendations have been documented many times. Frequently these abnormal gains begin to accumulate long before the publication date. In most cases they reach their highs on the day the recommendations are disseminated to the public. With few exce...

To understand whether retailers should consider consumer returns when merchandising, we study how the optimal assortment of a price-taking retailer is influenced by its return policy. The retailer selects its assortment from an exogenous set of horizontally differentiated products. Consumers make purchase and keep/return decisions in nested multinomial logit fashion. Our main finding is that th...

In this paper, an artificial stock market characterized by heterogeneous and informed agents is presented. The heterogeneous agents are seen as nodes of sparsely connected graphs. The agents trade risky assets and are characterized by sentiments, amount of cash and stocks owned. Agents share information and sentiments by means of interactions determined by graphs. A central market maker (cleari...