Stock market fundamentals would not seem to meaningfully predict returns over a shorter-term horizon - instead, I shift focus to severe downside risk (i.e., crashes). I use the cointegrating relationship between the log S&P Composite Index and log earnings over 1871 to 2015, combined with...

Machine learning (ML) is a novel method that has applications in asset pricing and that fits well within the problem of measurement in economics. Unlike econometrics, ML models are not designed for parameter estimation and inference, but similar to econometrics, they address, and may be better...

This paper revisits the predictability of bond excess returns by means of long-term forward interest rates. We assess the economic value of out-of-sample forecasting ability of empirical models based on forward rates in a dynamic asset allocation strategy. Our results show that the information...

This paper derives a liquidity-adjusted conditional two-moment capital asset pricing model (CAPM) and a liquidity-adjusted conditional three-moment CAPM respectively based on theory of stochastic discount factor. The liquidity-adjusted conditional two-moment CAPM shows that a security's...

This article implements the minimum variance frontier for the stochastic discount factor, according to both Hansen and Jagannathan (1991) and Cochrane and Hansen (1992), for the Brazilian stock market. Two approaches are considered in terms of equity returns and equity premium, respectively, the...

We use a standard consumption-based asset pricing model incorporating conditioning information to explain the risk-return profile of currency carry trade portfolios. We use a scaled stochastic discount factor instead of scaled or managed portfolio returns as in previous work. Our conditioning...

We use a standard consumption-based asset pricing model incorporating conditioning information to explain the risk-return profile of currency carry trade portfolios. We use a scaled stochastic discount factor instead of scaled or managed portfolio returns as in previous work. Our conditioning...

We argue that the CAPM may be a reasonable model for estimating the cost of capital for projects in spite of increasing empirical evidence in the literature against the CAPM based on stock returns. As McDonald and Siegel (1985) and Berk, Green and Naik (1999) point out, stocks are backed by...

Firm level characteristics explain the cross section of investment returns of industry portfolios that include listed and unlisted firms. Moreover, common asset pricing models explain the cross-sectional variation of characteristic-based investment returns which include listed and unlisted...

We investigate whether the effect of liquidity on equity returns can be attributed to the liquidity level, as a stock characteristic, or a market wide systematic liquidity risk. We develop a CAPM liquidity-augmented risk model and test the characteristic hypothesis against the systematic risk...