A Hidden Markov Model (HMM) is used to model the VIX (the Cboe Volatility Index). A 4- state Gaussian mixture is fitted to the VIX price history from 1990 to 2022. Using a growing window of training data, the price of the S&P500 is predicted and two trading algorithms are presented, based on the...

We develop a general framework for measuring biases in expectation formation. The method is based on the insight that biases can be inferred from the response of forecast errors to past news. Empirically, biases are measured by flexibly estimating the impulse response function of forecast...

Using firm-level data, we study how firm expectations adjust to news while accounting for a) the heterogeneity of news and b) the heterogeneity of firms. We classify news as either micro or macro, that is, information about firm-specific developments or information about the aggregate economy....

Using firm-level data, we study how firm expectations adjust to news while accounting for a) the heterogeneity of news and b) the heterogeneity of firms. We classify news as either micro or macro, that is, information about firm-specific developments or information about the aggregate economy....

In this study, we investigate how firm expectations about their own developments respond to different types of news. We classify news as either micro or macro, with micro news being information about firm-specific developments and macro news being information about the aggregate economy. Our...