This paper calibrates a class of jump-diffusion long-run risks (LRR) models to quantify how well they can jointly explain the equity risk premium and the variance risk premium in the U.S. financial markets, and whether they can generate realistic dynamics of riskneutral and realized...

We compare the performance of popular covariance forecasting models in the context of a portfolio of major European equity indices. We find that models based on high-frequency data offer a clear advantage in terms of statistical accuracy. They also yield more theoretically consistent predictions...

This study quantifies the dynamic interrelationship between the KOSPI index return and search query data derived from the Naver DataLab. The empirical estimation using a bivariate GARCH model reveals that negative contemporaneous correlations between the stock return and the search frequency...

Within this paper, we analyze the impact of Financial Times Deutschland (FTD) news on stock prices and trading volumes. Based on a sample of all news on German DAX, MDAX and SDAX companies published within the news section of the FTD between 2006 and 2010, our results show that articles that...

We investigate investor's correlated attention as a determinant of excess stock market comovement. We propose a novel proxy, "co-attention", that measures the correlation in demand for market-wide information across stock markets approximated by the Google Search Volume Index (SVI). Our results...

This paper tests whether mutual funds on aggregate matter for the equilibrium stock returns due to (i) uncertain fund flows, which directly affect fund size and managers' income; and (ii) time-varying liquidity costs of assets. I find the aggregate shocks to fund flows enter the pricing kernel in...

We use wavelet analysis to examine the impact of macro-news announcements on the stock-bond correlation. Significant announcement effects appear after controlling for the recent financial crisis, with a link between the speed of reaction and the timing of announcements, with early released news...

Using a unique survey dataset, I study how financial market experts form their stock market expectations. I document a strong disagreement among experts about how important macroeconomic and financial variables are related to stock returns. The results of an analysis of the relationships between...

Using a unique survey dataset, the author studies how financial market experts form their stock market expectations. He documents a strong disagreement among experts about how important macroeconomic and financial variables are related to stock returns. The results of an analysis of the...