We provide the first comprehensive analysis of option information for pricing the cross-section of stock returns by jointly examining extensive sets of firm and option characteristics. Using portfolio sorts and high-dimensional methods, we show that certain option measures have significant...

Using Indian bank-level data, we examine the cross-sectional returns predictability for banking stocks in view of the distinct industry parameters prevalent in the financial services space. We find the existence of abnormal returns in banking stocks. We also observe that the celebrated...

We examine the predictability of expected stock returns across horizons using machine learning. We use neural networks, and gradient boosted regression trees on the U.S. and international equity datasets. We find that predictability of returns using neural networks models decreases with longer...

Using the pandemic as a laboratory, we show that asset markets assign a time- varying price to firms' disaster risk exposure. In 2020 the cross-section of realized and expected stock returns reflected firms' different exposure to the pandemic, as measured by their vulnerability to social...

Based on 58,256 news articles published in the Financial Times during a 15-year period that cover companies in the DJIA, we find that a trading strategy that longs stocks with the most negative news and shorts stocks with the least negative news is not profitable. Consistent with this result, we...

We analyze the pricing of risky income streams in a world with competitive security markets where investors are constrained by restrictions on possible portfolio holdings. We investigate how we can transfer concepts and pricing techniques from a world without frictions to such a more realistic...

This paper explores possibilities of using rolling regression CAPM on the Zagreb Stock Exchange in portfolio and risk management. Since original model has many flaws, one of them including the assumption of constant parameters in the model, extending the model with the assumption of changing...

Traditional measures of assessment of mutual fund performance (alpha) are based mostly on Capital Assets Pricing Model which presupposes fixed sensitivity of risk exposure of a fund to its market proxy (beta). However, changing economic conditions will alter this relationship. In conditional...

We model investors that take into account the amount of public good that firms produce (e.g., by reducing carbon emissions) when making their portfolio allocation. In an equilibrium asset pricing model with production and public goods provision, we find that environmentally conscious investors...

In this study, we analyze illiquidity premia and their effect on the expected returns of German real estate securities. To this end, we use a unique data set that includes real estate stocks, real estate investment trusts (REITs), and open- and closed-end real estate funds for 2003–2017. We...