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The sample covariance matrix is known to contain substantial statistical noise, making it inappropriate for use in financial decision making. Leading researchers have proposed various filtering methods that attempt to reduce the level of noise in the covariance matrix estimator. In most cases,...
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We present a careful analysis of possible issues of the application of the self-excited Hawkes process to high …-frequency financial data, in particular: (i) the impact of overnight trading in the analysis of long-term trends, (ii) intraday … seasonality and detrending of the data and (ii) vulnerability of the analysis to day-to-day nonstationarity and regime shifts …
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In this article, we extend the Black-Litterman approach to a continuous time setting. We model analyst views jointly with asset prices to estimate the unobservable factors driving asset returns. The key in our approach is that the filtering problem and the stochastic control problem are...
Persistent link: https://www.econbiz.de/10013082305
We introduce a simulation-free method to model and forecast multiple asset returns and employ it to investigate the optimal ensemble of features to include when jointly predicting monthly stock and bond excess returns. Our approach builds on the Bayesian Dynamic Linear Models of West and...
Persistent link: https://www.econbiz.de/10012910552
portfolio allocations for varying asset classes and investment strategies. The empirical methodology applied in our analysis …
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