Showing 1 - 10 of 8,640
This paper evaluates the forecasting accuracy of correlation derived from implied volatilities in dollar-mark, dollar …-yen, and mark-yen options from January 1989 to May 1995. As a forecast of realized correlation between the dollar-mark and … dollar-yen, implied correlation is compared against three alternative forecasts based on time series data: historical …
Persistent link: https://www.econbiz.de/10012774954
We propose a Bayesian procedure for exploiting small, possibly long-lag linear predictability in the innovations of a finite order autoregression. We model the innovations as having a log-spectral density that is a continuous mean-zero Gaussian process of order 1/√T. This local embedding makes...
Persistent link: https://www.econbiz.de/10013131235
While the Sharpe ratio is still the dominant measure for ranking risky assets, a substantial effort has been made over the past three decades to find a way to account for non-Normally distributed risks. This paper derives a generalized ranking measure which, under a regularity condition,...
Persistent link: https://www.econbiz.de/10013074912
We construct portfolios of stocks and of bonds that are maximally predictable with respect to a set of ex ante observable economic variables, and show that these levels of predictability are statistically significant, even after controlling for data-snooping biases. We disaggregate the sources...
Persistent link: https://www.econbiz.de/10012763656
volatility estimation. In particular, we use market microstructure theory to derive the cross-correlation function between latent … returns and market microstructure noise, which feature prominently in the recent volatility literature. The cross-correlation … geometrically. If market makers are sufficiently risk averse, however, the cross-correlation pattern is inverted. Our results are …
Persistent link: https://www.econbiz.de/10013137011
Current practice largely follows restrictive approaches to market risk measurement, such as historical simulation or RiskMetrics. In contrast, we propose flexible methods that exploit recent developments in financial econometrics and are likely to produce more accurate risk assessments, treating...
Persistent link: https://www.econbiz.de/10013106309
We propose a simple cross-sectional technique to extract daily factors from economic news released at different times and frequencies. Our approach can effectively handle the large number of different announcements that are relevant for tracking current economic conditions. We apply the...
Persistent link: https://www.econbiz.de/10013072867
We introduce a new, hybrid measure of stock return tail covariance risk, motivated by the under-diversified portfolio holdings of individual investors, and investigate its cross-sectional predictive power. Our key innovation is that this covariance is measured across the left tail states of the...
Persistent link: https://www.econbiz.de/10013075854
We evaluate the performance of different models for the covariance structure of stock returns, focusing on their use for optimal portfolio selection. Comparisons are based on forecasts of future covariances as well as the out-of-sample volatility of optimized portfolios from each model. A few...
Persistent link: https://www.econbiz.de/10012763801
In the finance literature, a common practice is to create characteristic portfolios by sorting on characteristics associated with average returns. We show that the resulting portfolios are likely to capture not only the priced risk associated with the characteristic, but also unpriced risk. We...
Persistent link: https://www.econbiz.de/10012931218