This study sheds new light on the question of whether or not sentiment surveys, and the expectations derived from them, are relevant to forecasting economic growth and stock returns, and whether they contain information that is orthogonal to macroeconomic and financial data. I examine 16...

This study sheds new light on the question of whether or not sentiment surveys, and the expectations derived from them, are relevant to forecasting economic growth and stock returns, and whether they contain information that is orthogonal to macroeconomic and financial data. I examine 16...

This paper presents a new agent-based financial market. It is designed to be both simple enough to gain insights into the nature and structure of what is going on at both the agent and macro levels, but remain rich enough to allow for many interesting evolutionary experiments. The model is...

We present a decision theoretic framework in which agents are learning about market behavior and that provides microfoundations for models of adaptive learning. Agents are 'internally rational', i.e., maximize discounted expected utility under uncertainty given dynamically consistent subjective...

This work presents a theoretical and empirical evaluation of the role of market belief in the structure of risk premia. Our main result is that fluctuations in market belief are large contributors to the time variability of risk premia. On average, the risk premium on holding Federal Funds...

Purpose–The purpose of this paper is to theoretically and empirically explore the effects of attention levels on individual investors' investment return. Design/methodology/approach–By introducing the heterogeneous attention, the authors first expand the theoretical model of Barber and...

How do financial markets incorporate news? This paper argues that one piece of news not only has direct effects on asset prices and market volatility, but it can also alter the relative importance of other news. Studying the reaction of UK short-term interest rates to the Bank of England’s...

This paper demonstrates that an asset pricing model with least-squares learning can lead to bubbles and crashes as endogenous responses to the fundamentals driving asset prices. When agents are risk-averse they need to make forecasts of the conditional variance of a stock¡¯s return....

We present a decision theoretic framework with agents that are learning about the behavior of market determined variables. Agents are 'internally rational', i.e., maximize discounted expected utility under uncertainty given consistent beliefs about the future, but may not be 'externally...

Extreme adverse selection arises when private information has unboundedsupport, and market breakdown occurs when no trade is the only equilibriumoutcome. We study extreme adverse selection via the limit behavior of afinancial market as the support of private information converges to an...