We study association between macroeconomic news and stock market returns using the statistical theory of copulas, and a new comprehensive measure of news based on the indexing of news wires. We find the impact of economic news on equity returns to be nonlinear and asymmetric. In particular,...

We use the copula approach to study the structure of dependence between sell-side analysts' consensus recommendations and subsequent security returns, with a focus on asymmetric tail dependence. We match monthly vintages of I/B/E/S recommendations for the period January to December 2011 with...

We propose a class of flexible non-parametric tests for the presence of dependence between components of a random vector based on weighted Cramér-von Mises functionals of the empirical copula process. The weights act as a tuning parameter and are shown to significantly influence the power of...

We assess investment value of sell-side analyst recommendations from the standpoint of portfolio risk. We match I/B/E/S consensus recommendations issued for U.S.-listed equities during January 2015 with realized volatility of daily security returns up to one year following recommendation issue....

We study association between macroeconomic news and stock market returns using the statistical theory of copulas, and a new comprehensive measure of news based on the indexing of news wires. We find the impact of economic news on equity returns to be nonlinear and asymmetric. In particular,...

Model-based forecasts of important economic variables are part of the range of information considered for monetary policy decision making. Since some of the data underpinning these forecasts can be revised over time as new information is released, having access to the data that are available...