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In this paper we review some standard and more recent filtering techniques, based on Random Matrix Theory (RMT), that can reduce the “empirical” noise and slightly improve standard Markowitz model's predictions
Persistent link: https://www.econbiz.de/10013100404
In this paper we review some standard and more recent filtering techniques, based on Random Matrix Theory (RMT), that can reduce the “empirical” noise and slightly improve standard Markowitz model's predictions based on dynamics of a covariance matrix
Persistent link: https://www.econbiz.de/10013100407
It is well known that the bias called market microstructure noise will arise, when estimating realized co-volatility matrix which is calculated as a sum of cross products of intraday high-frequency returns. An existing conventional technique for removing such a market microstructure noise is to...
Persistent link: https://www.econbiz.de/10013150378
datasets, Gilles turns to the joint problem of volatility and correlation. Certainly, one challenge in the study is to define …, where we concentrate on a small number of stable directions for correlation or covariance. Gilles's deeper investigation … where correlation and volatility are both dynamic quantities …
Persistent link: https://www.econbiz.de/10013155918
factors. The traditional simulation approach for generating correlated random numbers employs correlation matrix decomposition … however for a large bank the size of the correlation matrix makes decomposition very problematic or impossible. This paper …
Persistent link: https://www.econbiz.de/10013068284
This paper proposes a three-step estimation strategy for dynamic conditional correlation models. In the first step … usual normalization. In the third step, the two-step conditional covariance and correlation matrices are regularized by … model. This yields the final, third step smoothed estimate of the conditional covariance and correlation matrices. Due to …
Persistent link: https://www.econbiz.de/10012899132
noise filtering procedure was applied first to an empirical correlation matrix and, second, to the matrix built from the … same time series deliberately contaminated with noise. The final, noise filtered correlation matrices, were practically the … measures that gave average distance between off-diagonal elements of correlation matrices obtained as a result of noise …
Persistent link: https://www.econbiz.de/10013060875
noise filtering procedure was applied first to an empirical correlation matrix and, second, to the same matrix deliberately … contaminated with noise. The final, noise filtered correlation matrices, were practically the same in both cases (by simple visual … between off-diagonal elements of correlation matrices obtained as a result of noise filtering of empirical correlation matrix …
Persistent link: https://www.econbiz.de/10013060876
Demonstration of the extraordinary out-of-sample stability of noise-filtered correlation matrices measured in terms of ….Study of the out-of-sample stability of noise-filtered correlation matrices as a function of number of securities and history …
Persistent link: https://www.econbiz.de/10013060882
filtering noise from correlation matrices developed by the New York based company, Market Memory Trading, L.L.C. (MMT …, from asset allocation to LIBOR Surveillance and cyber security.“ROBUSTNESS OF A NOISE FILTERING PROCEDURE FOR CORRELATION … MATRICES - Filtering of Deliberately Introduced Noise from Empirical Correlation Matrices." White Paper 8, dated June 3, 2013 …
Persistent link: https://www.econbiz.de/10013062139