We use a Panel Smooth Transition Regression (STR) model to study nonlinearities in the expectation-formation process in the U.S. stock market. To this end, we use data from the Livingston survey to investigate how the importance of regressive and extrapolative expectations fluctuates over time...

We analyze time-series of investor expectations of future stock market returns from six data sources between 1963 and 2011. The six measures of expectations are highly positively correlated with each other, as well as with past stock returns and with the level of the stock market. However,...

We analyze time-series of investor expectations of future stock market returns from six data sources between 1963 and 2011. The six measures of expectations are highly positively correlated with each other, as well as with past stock returns and with the level of the stock market. However,...

We estimate the Cyclically Adjusted PE ratio (CAPE) for equity indices in the Indian market. We find the average CAPE ratio of the Indian market is lower than that of the US. Judging the market valuation level based on a long-term moving average of CAPE, we find that the CAPE has remained above...

The purpose of the present paper is to provide a simple model which explains how households (or non-experts) form their inflation forecasts. The paper contributes to the existing literature and the understanding of how inflation expectations are formed in two ways. Firstly, we present an...