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Alexander Izmailov, Ph.D (theoretical physics) and Brian Shay, Ph.D (mathematics) of Market Memory Trading, L.L.C., present in a series of nine (9) white papers, aspects of a revolutionary advance in uncovering hidden dependencies via filtering noise from correlation matrices developed by the...
Persistent link: https://www.econbiz.de/10013062120
Alexander Izmailov, Ph.D (theoretical physics) and Brian Shay, Ph.D (mathematics) of Market Memory Trading, L.L.C., present in a series of white papers, aspects of a revolutionary advance in uncovering hidden dependencies via filtering noise from correlation matrices developed by the New York...
Persistent link: https://www.econbiz.de/10013062134
Alexander Izmailov, Ph.D (theoretical physics) and Brian Shay, Ph.D (mathematics), of Market Memory Trading, L.L.C., present in a series of nine (9) white papers, aspects of a revolutionary advance in uncovering hidden dependencies via filtering noise from correlation matrices developed by the...
Persistent link: https://www.econbiz.de/10013062136
Alexander Izmailov, Ph.D (theoretical physics) and Brian Shay, Ph.D (mathematics) of Market Memory Trading, L.L.C., present in a series of nine (9) white papers, aspects of a revolutionary advance in uncovering hidden dependencies via filtering noise from correlation matrices developed by the...
Persistent link: https://www.econbiz.de/10013062139
We estimate a general microstructure model of the transitory and permanent impact of order flow on stock prices. Jumps are detected in both the transaction price (observation equation) and fundamental value (state equation). The model's parameters and variances are updated in real time. Prices...
Persistent link: https://www.econbiz.de/10010256970
Volatility is an important component of asset pricing; an increase in volatility on markets can trigger changes in the … hypothesized that there are movements in risk that are driven by volatility linked to sentiment-driven noise trader activity whose … investor sentiment and stock return volatility which shows that behavioural finance can significantly explain the behaviour of …
Persistent link: https://www.econbiz.de/10012023919
Demonstration that our noise filtering procedure is extremely robust on the basis of the following experiment. The 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...
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 matrices. Demonstration of substantial entropy decrease as a...
Persistent link: https://www.econbiz.de/10013060895
filtered covariance matrices, for two possible optimization scenarios – maximization of portfolio return at a fixed volatility … and minimization of portfolio volatility at a fixed return. Refer to Appendix A for Complete Series …
Persistent link: https://www.econbiz.de/10013062135
than 30% of SP500 securities can have percentage change in volatility of more than 10% as a result of noise filtering …, variances (diagonal elements of the covariance matrix - squares of volatility) contain noise as well. Our noise …
Persistent link: https://www.econbiz.de/10013060877