Do investors reach for yield when interest rates are low, and how does this behavior influence house prices? This paper uses the unique setting of 17th-18th century Amsterdam to answer this question, using newly-collected archival data on investment portfolios and the universe of property...

The risk premium of stocks due to priced variance risk is summarized to two variables -- the stock-specific price of variance risk (the difference between realized and option-implied variance) and the quantity (i.e., how stock prices respond to their variance shocks) of variance risk....

Portfolio optimization often struggles in realistic out-of-sample contexts. We de-constructthis stylized fact, comparing historical forecasts of portfolio optimization inputs withsubsequent out of sample values. We confirm that historical forecasts are imprecise guidesof subsequent values but...

We introduce a new measure of stock misevaluation, 𝑄, which is consistent with the Gordon growth model for firm valuation. In our empirical application, we use 𝑄 to relate analyst forecasts to stock returns and measure the profitability of investment strategies that rely on information in...

The presence of time series momentum effect has been widely documented in the financial markets across asset classes and countries. We find a predictable pattern of the realized semi-variance to the future individual asset return, especially during the stressed states of time series momentum...

This paper demonstrates that the forecasted CAPM beta of momentum portfolios explains a large portion of the return, ranging from 40% to 60% for stock level momentum, and 30% to 50% for industry level momentum. Beta forecasts are from a realized beta estimator using daily returns over the prior...

There is limited evidence of intraday predictability both in the cross-section of US stock returns (see Heston et al., 2010) and in the time-series of the aggregate stock market (see Gao et al., 2015). I find that statistical time-series predictability does not imply economic profitability,...

In this paper we investigate the predictive power of cross-sectional volatility, skewness and kurtosis for future stock returns. Adding to the work of Maio (2016), who finds cross-sectional volatility to forecast a decline in the equity premium with high predictive power in-sample as well as...

Purpose: The aim of our paper is twofold. First, we examine the predictive ability of log bookmarket, dividend-price, earnings-price and dividend-earnings ratios on the most recent data set of the strongest securities in the UK economy; unlike the majority of the studies in this data set, our...