Showing 1 - 10 of 95
We propose a new asset-pricing framework in which all securities' signals are used to predict each individual return. While the literature focuses on each security's own- signal predictability, assuming an equal strength across securities, our framework is flexible and includes...
Persistent link: https://www.econbiz.de/10012271188
While many studies find that the tail distribution of high frequency stock returns follow a power law, there are only a few explanations for this finding. This study presents evidence that time-varying volatility can account for the power law property of high frequency stock returns. The power...
Persistent link: https://www.econbiz.de/10013210380
We develop a penalized two-pass regression with time-varying factor loadings. The penalization in the first pass enforces sparsity for the time-variation drivers while also maintaining compatibility with the no arbitrage restrictions by regularizing appropriate groups of coefficients. The second...
Persistent link: https://www.econbiz.de/10012487589
We develop a new approach for evaluating performance across hedge funds. Our approach allows for performance comparisons between models that are misspecified – a common feature given the numerous factors that drive hedge fund returns. The empirical results show that the standard models used in...
Persistent link: https://www.econbiz.de/10012419384
We incorporate a latent stochastic volatility factor and macroeconomic expectations in an affine model for the term structure of nominal and real rates. We estimate the model over 1999-2016 on U.S. data for nominal and TIPS yields, the realized and implied volatility of T-bonds and survey...
Persistent link: https://www.econbiz.de/10011877284
while allowing for aggregate stochastic volatility. We find that the bulk of yield dynamics comes from short rate …
Persistent link: https://www.econbiz.de/10012179422
We propose a method to decompose stock returns period by period. First, we argue that one can directly estimate expected stock returns from securities available in modern financial markets (using the real yield curve and the Martin (2017) equity risk premium). Second, we derive a return...
Persistent link: https://www.econbiz.de/10013293230
This paper uses a dataset of more than 900,000 news stories to test whether news can predict stock returns. We measure sentiment with a proprietary Thomson-Reuters neural network. We find that daily news predicts stock returns for only 1 to 2 days, confirming previous research. Weekly news,...
Persistent link: https://www.econbiz.de/10013210411
high cybersecurity risk. Reassuringly, the measure is higher in information-technology industries, correlates with …
Persistent link: https://www.econbiz.de/10012419704
This paper investigates the impact of the introduction and implementation of the new EU bail-in framework on the banks subordinated bond yield spreads over senior unsecured bonds, and links the bond yields developments with the characteristics of the issuing entities and the economic and...
Persistent link: https://www.econbiz.de/10012104463