We show the cost of trading on negative news, relative to positive news, increases before earnings announcements. Our evidence suggests this asymmetry is due to financial intermediaries reducing their exposure to announcement risks by providing liquidity asymmetrically. This asymmetry creates a...

We extract contextualized representations of news text to predict returns using the state-of-the-art large language models in natural language processing. Unlike the traditional bag-of-words approach, the contextualized representation captures both the syntax and semantics of text, thus...

We propose a theory that jointly accounts for an asset illiquidity and for the asset price potential over-reliance on public information. We argue that, when trading frequencies differ across traders, asset prices reflect investors' Higher Order Expectations (HOEs) about the two factors that...

A significant number of institutional investors publicly state the belief that corporate stakeholder relations are associated with firm value in a manner that the financial market fails to understand. We investigate whether stakeholder information predicted risk-adjusted returns due to errors in...

Fundamental indexing based on accounting valuation has drawn significant interest from academics and practitioners in recent times as an alternative to capitalisation weighted indexing based on market valuation. This paper investigates the claims of superiority of fundamental indexation strategy...

A great number of academic papers evaluate the potential for incentive-driven bias in sell-side analysts' earnings forecasts. Yet bias does not necessarily invalidate a forecast, nor does it impinge on its relative quality. We find that analysts' forecasts are optimistic relative to recently...

We replicate French, Schwert, and Stambaugh (1987) (FSS) with up-to-date data and new tools from the modern toolbox of econometric methods. As we proceed, we highlight the main technical details and econometric methods from the original study and, when necessary, update them. While our main goal...

We study the relationship between stock market return expectations and risk aversion of individuals and test whether the joint effects arising from the interaction of these two variables affect investment decisions. Using data from the Dutch National Bank Household Survey, we find that risk...

Daily asset returns are modeled using self decomposable limit laws and the structure is used to estimate the density of the uncentered data. Estimates of mean returns are a byproduct of the density estimate. Estimates of mean returns via density estimation have significantly lower standard...

I build a price-ratio model based on the Campbell and Shiller (1988) decomposition to test which components of investor expectations best explains cross-sectional price differences. I evaluate the in- and out-of-sample performance of my model, which uses a higher-order expansion with an added...