The decision process of an investor who must screen information of varying quality in a stock market with heterogeneous investors leads to new dimensions to consider in the risk-return space. More volatile forecast errors make it more difficult to properly form expectations from forecasts....

The impact of digital literacy on financial outcomes has been well-explored. However, the onset of AI necessitates a pressing need for more granular, cross-country analyses that incorporate local variations in digital infrastructure and socioeconomic conditions. Using data from three sources in...

ABSTRACT & RÉSUMÉ : Digitalization in Sub-Saharan Africa enhanced the accessibility of communications by the majority of the poor who had been excluded among others from social media, independent information channels, mobile banking and e-commerce. The creation of new economic opportunities,...

I examine how credit reporting affects where firms access credit and how lenders contract with them. I use within firm-time and lender-time tests that exploit lenders joining a credit bureau and sharing information in a staggered pattern. I find information sharing reduces relationship-switching...

In this research I empirically study the effects of information acquisition by investors or traders on analysts' forecast bias. Based on the theoretical literature on sell-side analysts, I argue that forecast bias is correlated to investors' information gathering in two opposite directions. On...

I estimate a demand model for online services of financial data, from a random parameters or mixed logit model, using a sample with searches at Bloomberg Terminals and at the EDGAR system. My preliminary results suggest that the substitution investors make of financial information providers, are...

In this research I empirically study the effects of information acquisition by investors or traders on analysts' forecast bias. Based on the theoretical literature on sell-side analysts, I argue that forecast bias is correlated to investors' information gathering in two opposite directions. On...

What can granular data on investors' asset demand tell us about stock return variation? Motivated by the recent literature on demand-based asset pricing, I model the growth rate of portfolio holdings based on evolving asset fundamentals by including demand for asset-specific characteristics in a...

Evidence suggests that arbitragers exchange investment ideas. We analyze why and under what circumstances sharing occurs. Our model suggests that sharing ideas will lead to the following: more efficient asset prices, larger arbitrager profits, and correlated arbitrager returns. We predict that...

Through an implementation of the 2-level-approach due to Vesanto & Alhoniemi (2000), this paper addresses a number of problems typically seen when visualized interpretation of Self Organizing Maps (SOM) are applied to derive a systematic classification system in the hedge fund literature....