Modern asset pricing theory predicts an unambiguously positive relationship between volatility and expected returns. Empirically, however, realized volatility in the past often predicts expected returns in the future with a negative sign, as exemplified by the volatility-managed portfolios of Moreira and Muir (2017). Theoretically, we show that information-driven volatility induces a negative correlation between past realized volatility and expected volatility and expected returns in the future. We develop a simple asset pricing model based on this intuition and demonstrate that our model can account for several volatility-related asset pricing puzzles such as the return on volatility managed portfolios, the “variance risk premium” return p...
We provide a production-based asset pricing model with dispersed information and small deviations fr...
The efficient market hypothesis states that an efficient market incorporates all available informati...
We use high-frequency data to study the dynamic relationship between volatility and equity returns....
This paper examines the relation between stock returns and stock market volatility. We find evidence...
(preliminary and incomplete) We examine the relative information content of monthly volatility forec...
How important are volatility fluctuations for asset prices and the macroeconomy? We find that an inc...
This article investigates the intertemporal relation between volatility spreads and expected returns...
This paper provides an extensive analysis of the predictive ability of financial volatility measures...
Volatility has been a widely discussed subject in financial research and many papers consider it syn...
We investigate the relation between price informativeness and idiosyncratic return volatility in a m...
In this paper, we provide evidence on two alternative mechanisms of interaction between returns and ...
The thesis consists of three chapters on volatility and variance risk premium. In second chapter, w...
In the first chapter (``Good and Bad Uncertainty: Macroeconomic and Financial Market Implications\u2...
In the first chapter ( Good and Bad Uncertainty: Macroeconomic and Financial Market Implications\u27...
Volatility is an integral and inescapable variable of financial engineering, modeling, and finance t...
We provide a production-based asset pricing model with dispersed information and small deviations fr...
The efficient market hypothesis states that an efficient market incorporates all available informati...
We use high-frequency data to study the dynamic relationship between volatility and equity returns....
This paper examines the relation between stock returns and stock market volatility. We find evidence...
(preliminary and incomplete) We examine the relative information content of monthly volatility forec...
How important are volatility fluctuations for asset prices and the macroeconomy? We find that an inc...
This article investigates the intertemporal relation between volatility spreads and expected returns...
This paper provides an extensive analysis of the predictive ability of financial volatility measures...
Volatility has been a widely discussed subject in financial research and many papers consider it syn...
We investigate the relation between price informativeness and idiosyncratic return volatility in a m...
In this paper, we provide evidence on two alternative mechanisms of interaction between returns and ...
The thesis consists of three chapters on volatility and variance risk premium. In second chapter, w...
In the first chapter (``Good and Bad Uncertainty: Macroeconomic and Financial Market Implications\u2...
In the first chapter ( Good and Bad Uncertainty: Macroeconomic and Financial Market Implications\u27...
Volatility is an integral and inescapable variable of financial engineering, modeling, and finance t...
We provide a production-based asset pricing model with dispersed information and small deviations fr...
The efficient market hypothesis states that an efficient market incorporates all available informati...
We use high-frequency data to study the dynamic relationship between volatility and equity returns....