We develop an agent-based financial market model in which agents follow technical and fundamental trading rules to determine their speculative investment positions. A central feature of our model is that we consider direct interactions between speculators due to which they may decide to change...

Daily financial market returns (as log difference in closing prices) may be quite sensitive to operation with low trading volumes and big changes in prices frequently traded at market closing times. This paper proposes a more robust estimation of market returns by providing a new indicator that...

Using the monthly data for more than 1700 Australian stocks over the period from 1990 to 2009, we investigate whether industry portfolio returns predict the aggregate market. We find that a few industries significantly lead the market even controlling for well-recognized market predictors....

This paper explores the long-standing empirical fact of increased trading volume around news releases through the lens of canonical models of gradual information diffusion and differences of opinion. I use a unique dataset of clicks on news by key finance professionals to distinguish between...

In this study, we examine the information diffusion of firms in investor networks. Using a unique investor account-level dataset from the Taiwan Stock Exchange from 2005 to 2014, we identify the information diffusion of firms as their centralization in investor networks. Consistent with the...

Media news is a proxy for attention from the information supply side, and the Google search is a proxy for attention from the information demand side. I show that that the attention has the biggest impact on financial markets when the supply side attention and demand side attention move in the...

We identify all return leader-follower pairs among individual stocks using Granger causality regressions. Thus-identified leaders can reliably predict their followers' returns out of sample, and the return predictability works at the level of individual stocks rather than industries. Our results...

Cross-firm predictability among economically linked firms can arise when both firms exhibit own-momentum and their returns are contemporaneously correlated. We show that cross-firm predictability can last up to 10 years, which is hard to reconcile with an interpretation of slow information...

Using the monthly data for more than 1700 Australian stocks over the period from 1990 to 2009, we investigate whether industry portfolio returns predict the aggregate market. We find that a few industries significantly lead the market even controlling for well-recognized market predictors....

I show that news editors have state-dependent preference for different types of firms. Using the New York Times data and natural language processing techniques, I estimate the loadings of media coverage on eight common features of firms and construct the corresponding editor preference. I find...