Showing 1 - 10 of 112
Persistent link: https://www.econbiz.de/10004981092
It is a well accepted fact that stock returns data are often contaminated by market microstructure effects, such as bid-ask spreads, liquidity ratios, turnover, and asymmetric information. This is particularly relevant when dealing with high frequency data, which are often used to compute model...
Persistent link: https://www.econbiz.de/10005702555
It is a well accepted fact that stock returns data are often characterized by market microstructure effects, such as bid-ask spreads, liquidity ratios, turnover and asymmetric information. This is particularly relevant when dealing with high frequency data, which are often used to compute model...
Persistent link: https://www.econbiz.de/10005702617
This paper proposes a two-step procedure to back out the conditional alpha of a given stock using high-frequency data. We rst estimate the realized factor loadings of the stocks, and then retrieve their conditional alphas by estimating the conditional expectation of their risk- adjusted returns....
Persistent link: https://www.econbiz.de/10011127184
This paper introduces a no-arbitrage framework to assess how macroeconomic factors help explain the risk-premium agents require to bear the risk of fluctuations in stock market volatil- ity. We develop a model in which return volatility and volatility risk-premia are stochastic and derive...
Persistent link: https://www.econbiz.de/10011071298
How does stock market volatility relate to the business cycle? We develop, and estimate, a no-arbitrage model, and find that (i) the level and fluctuations of stock volatility are largely explained by business cycle factors and (ii) some unobserved factor contributes to nearly 20% to the overall...
Persistent link: https://www.econbiz.de/10011042878
Persistent link: https://www.econbiz.de/10004981038
Persistent link: https://www.econbiz.de/10004981062
This paper introduces a no-arbitrage framework to assess how macroeconomic factors help explain the risk-premium agents require to bear the risk of .uctuations in stock market volatility. We develop a model in which return volatility and volatility risk-premia are stochastic and derive...
Persistent link: https://www.econbiz.de/10005073840
The main objective of this paper is to propose a feasible, model free estimator of the predictive density of integrated volatility. In this sense, we extend recent papers by Andersen et al. [Andersen, T.G., Bollerslev, T., Diebold, F.X., Labys, P., 2003. Modelling and forecasting realized...
Persistent link: https://www.econbiz.de/10005022946