We introduce easy to implement regression-based methods for predicting quarterly real economic activity that use daily financial data. Our analysis is designed to elucidate the value of daily information and provide real-time forecast updates of the current (nowcasting) and future quarters. Our...

We use a sample of option prices, and the method of Bakshi, Kapadia and Madan (2003), to estimate the ex ante higher moments of the underlying individual securities' risk-neutral returns distribution. We find that individual securities' volatility, skewness, and kurtosis are strongly related to...

Real-time macroeconomic data reflect the information available to market participants, whereas final data's containing revisions and released with a delays' overstate the information set available to them. We document that the in-sample and out-of-sample Treasury return predictability is...

Macroeconomic data are typically subject to future revisions and released with delay. Predictive return regressions using such data therefore potentially overstate the information set available to investors in real time. We document that data revisions account for a sizable share of in-sample...

This paper provides robustness checks and analytical derivations to supplement the material presented in the paper Skewness in Expected Macro Fundamentals and the Predictability of Equity Returns: Evidence and Theory.The paper to which these Appendices apply is available at the following URL:...

We document that the first and third cross-sectional moments of the distribution of GDP growth rates made by professional forecasters can predict equity excess returns, a finding which is robust to controlling for a large set of well established predictive factors. We show that introducing...

This paper documents macroeconomic forecasting during the global financial crisis by two key central banks: the European Central Bank and the Federal Reserve Bank of New York. The paper is the result of a collaborative effort between the two institutions, allowing us to study the time-stamped...