The paper investigates stock return dynamics in an environment where executives have an incentive to maximize their compensation by artificially inflating earnings. A principal-agent model with financial reporting and managerial effort is embedded in a Lucas asset-pricing model with periodic...

This note investigates the impact of investors' memory limitations on stock-market prices. I consider a simple asset-pricing model in which investors allocate limited cognitive resources to retrieve information from memory and to learn about the data generating process of multiple assets. I show...

These days it's become convention (reinforced by the media's treatment of wealth) to assess our net worth by tallying up the market value of our financial assets, even though it's more natural and useful to think of our wealth as a stream of dollars over time given the nature of our income and...

In understanding how leveraged ETFs perform, we'll uncover an important lesson relevant to all investing: how your choice of investment size can be more important than your choice of investment. To summarize, highly leveraged long and short ETFs provide a perfect illustration of how...

We study a dynamic voluntary disclosure setting where the manager's information and the firm's value evolve over time. The manager is not limited in her disclosure opportunities but disclosure is costly. The results show that the manager discloses even if this leads to a price decrease in the...

There has been considerable research into dynamic global tactical asset allocation (GTAA) strategies driven by simple measures of Valuation and Momentum applied to a baseline balanced portfolio of equities and fixed income (see Blitz and van Vliet 2008, Wang and Kochard 2011, Gnedenko and Yelnik...

The longest bull market in US stock market history is over. Uncertainty over the public health and economic impact of the coronavirus pandemic will keep markets extremely volatile, making it likely we'll touch a wide range of price levels in the months ahead. Amidst such uncertainty, it's a...

We assess the ability of an information aggregation mechanism that operates in the over-the-counter market for financial derivatives to reduce valuation uncertainty among market participants. The analysis is based on a unique dataset of price estimates for S&P 500 index options that major...

This paper develops a microstructure model which describes the way in which private information is incorporated into financial market prices via a Bayesian learning process used by agents. The paper shows how a latent process which represents information arrival can be inferred from observed...

Many practitioners point out that the speculative profits of institutional traders are eroded by the difficulty in gauging the price impact of their trades. In this paper, we develop a model of strategic trading where speculators face such a dilemma because of incomplete information about...