This study investigates the impact of investor sentiment on excess equity return forecasting. A high (low) investor sentiment may weaken the connection between fundamental economic (behavioral-based non-fundamental) predictors and market returns. We find that although fundamental variables can...

We introduce a novel method for training computer algorithms to measure news sentiment. Our approach leverages human-coded sentiment scores from over 200,000 newspaper articles to teach the computer to select words, word combinations, and their linear weights. In an out-of-sample test, examining...

I exploit the leveraged exchange-traded funds' (ETFs) primary market to measure aggregate, uninformed, gambling-like demand, that is, speculation sentiment. The leveraged ETFs' primary market is a novel setting that provides observable arbitrage activity attributed to correcting mispricing...

Investor sentiment indicates how far an asset value deviates from its economic fundamentals. In this paper, we review various measures of investor sentiment based on market, survey, and text and media data, respectively. There is ample evidence that sentiment can explain returns on stocks that...

Continuously rebalanced long-short trades are similar to highly levered trades in that their PNL profile depends not only on the final distribution of return, but also on the realized co-variance structure of the asset pair. It's easily possible for both orientations of a rebalanced long-short...

The US Treasury effectively ”owns” about 24% of the stocks held by high income US taxable investors. Through the capital gains tax, Uncle Sam has an effective exposure of more than $1 trillion of equities. And this huge-but-silent investor might be about to get a lot bigger if capital gains...

We show how distributions can be reduced to low-dimensional scenario trees. Applied to intertemporal distributions, the scenarios and their probabilities become time-varying factors. From S&P 500 options, two or three time-varying scenarios suffice to forecast returns, implied variance or...

This paper systematically investigates the sources of differential out-of-sample predictive accuracy of heuristic frameworks based on internet search frequencies and a large set of econometric models. The volume of internet searches helps gauge the degree of investors' time-varying interest in...

Mispricing (the difference between prices and their underlying fundamental values) is an important characteristic of markets. The literature on the topic consists of many different measures. This state of affairs is unsatisfactory, since it is not clear to which extent results are sensitive to...

We build an original market sentiment index based solely on changes over time in the number of different stocks held by individual investors. No prices, returns or trading volumes enter the definition. As a consequence, our index is not contaminated by liquidity concerns present in measures...