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High dimensional composite index makes experts' preferences in setting weights a hard task. In the literature, one of the approaches to derive weights from a data set is Principal Component or Factor Analysis that, although conceptually different, they are similar in results when FA is based on...
Persistent link: https://www.econbiz.de/10011999119
eigen-structure of the sample correlation matrix. This paper compares the filtering methods using a theoretical eigen … are identified. The sample correlation matrix suffers from excess dispersion in its eigenvalues and excess dispersion in … the sample covariance matrix, its diagonal elements and the covariance matrix based on the constant correlation model …
Persistent link: https://www.econbiz.de/10012965654
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 omnipresence of noise in financial correlation/covariance matrices revealed by means of random … matrix theory, a branch of probability theory.Introduction of the Shannon entropy as a measure of noise in correlation … filtering noise from correlation matrices. This noise is the inevitable consequence of the imperfection of traditional modeling …
Persistent link: https://www.econbiz.de/10013060895
the level of dynamic correlation for real estate and stock market indices; a valuable recommendation for risk managers who …
Persistent link: https://www.econbiz.de/10012910122
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 True Correlation Matrices.” White Paper 9, dated June 3, 2013 …
Persistent link: https://www.econbiz.de/10013062120
from correlation matrices developed by the New York based company, Market Memory Trading, L.L.C. (MMT). Correlations are … allocation to LIBOR Surveillance and cyber security.“FILTERING NOISE FROM CORRELATION MATRICES.” White Paper 3, dated January 15 …, 2013 provides a demonstration of the omnipresence of noise in financial correlation/covariance matrices revealed by means …
Persistent link: https://www.econbiz.de/10013062134
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.“EXTRAORDINARY STABILITY OF NOISE-FILTERED CORRELATION … noise-filtered correlation matrices measured in terms of simple Euclidean distance. This measure decreases 4-5 times post …
Persistent link: https://www.econbiz.de/10013062136
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