We use a large cross-section of equity returns to estimate a rich affine model of equity prices, dividends, returns and their dynamics. Using the model, we price dividend strips of the aggregate market index, as well as any other well-diversified equity portfolio. We do not use any dividend...

The activity of any participant in the stock market (from a private non-professional investor to investment companies) is associated with a certain level of risk. An effective mechanism in the context of leveling investment risks can be an assessment of the investment attractiveness of stock...

This paper investigates the inflation hedging capability of listed real estate (LRE) companies from 1990 to 2021 in four economies: the US, the UK, Australia, and Japan. By using a Markov switching vector error correction model (MS-VECM), we identify that the short-term hedging ability moves...

The paper examines statistical and economic evidence of out-of-sample bond return predictability for a real-time Bayesian investor who learns about parameters, hidden states, and predictive models over time. We find some statistical evidence using information contained in forward rates. However,...

This paper evaluates the central insight of the Consumption Capital Asset Pricing Model (CCAPM) that an asset's expected return is determined by its equilibrium risk to consumption. Rather than measure the risk of a portfolio by the contemporaneous covariance of its return and consumption growth...

The paper develops a theoretical model showing a mutual relationship between corruption and capital account restrictions. According to the model, higher corruption induces stricter restrictions and vice versa. We test the model using panel data for 112 countries over the period 1984-2002 and...

In this paper we survey the theoretical and empirical literatures on market liquidity. We organize both literatures around three basic questions: (a) how to measure illiquidity, (b) how illiquidity relates to underlying market imperfections and other asset characteristics, and (c) how...

In this study, we examine the predictability of firm-specific stock price crashes using modern machine learning techniques and develop a crash prediction model that utilizes both financial ratios and textual data from the Management Discussion and Analysis (MD&A) of 10-K files. We show that...

We examine the mechanism by which social media sentiment affects stock prices. Specifically, we assess the impact of Twitter feeds on stock returns at the intraday level. We find that an increase in buyer-initiated trades has a significantly positive price impact. The impact is stronger with an...

This paper studies the evolution of the greenium, i.e. a risk premium linked to firms' greenness and environmental transparency, based on individual stock returns. We estimate an asset pricing model with time-varying risk premia, where the greenium is associated to a priced `greenness and...