Stock markets play a dual role: help allocate capital by conveying information about firms' fundamentals and provide liquidity by quickly turning stocks into cash. We propose a trading model in which these two roles are endogenously related: more intensive use of stocks for liquidity affects...

We study how the social transmission of public news influences investors' beliefs and securities markets. Using an extensive dataset to measure investor social networks, we find that earnings announcements from firms in higher-centrality locations generate stronger immediate price and trading...

Over the past two decades, respondents to the Shiller Investor Confidence Surveys assess the probability of a catastrophic stock market crash to be much higher that the historical frequency of such events. We decompose these crash probabilities into fundamental and subjective components and use...

Over the last two decades, the unprecedented increase in non-bank financial intermediation, particularly open-end mutual funds and ETFs, accounts for nearly half of the external financing flows to emerging markets exceeding cross-border lending by global banks. Evidence suggests that investment...

The financial press is a conduit for popular narratives that reflect collective memory about historical events. Some collective memories relate to major stock market crashes, and investors may rely on associated narratives, or "crash narratives," to inform current beliefs and choices. Using...

Using a semi-supervised topic model on 7,000,000 New York Times articles spanning 160 years, we test whether topics of media discourse predict future stock and bond market returns to test rational and behavioral hypotheses about market valuation of disaster risk. Focusing on media discourse...

We introduce a novel empirical decomposition of equity price growth rates in terms of equity holdings, based on market-clearing conditions. Although our sample holdings cover only an average of 5% of market capitalization, our reconstructed equity holdings account for, on average, 89% of the...

This paper serves two purposes. First, we introduce a new data set on the German stock marketwhich is publicly available to all researchers. It comprises factor returns (a market factor, asize factor, a book-to-market factor, and a momentum factor) as well as returns of portfolioswhich are...

This paper investigates whether investor sentiment can explain stock returns on theGerman stock market. Based on a principal component analysis, we construct a senti-ment indicator that condenses information of several well-known sentiment proxies. Weshow that this indicator explains the return...

This paper conducts a comprehensive asset pricing study based on a unique dataset for theGerman stock market. For the period 1963 to 2006 we show that value characteristics andmomentum explain the cross-section of stock returns. Corresponding factor portfolios havesignificant premiums across...