Epstein Secrets

ucially contributed to an analytical model design and filed a patent for this model. This included expanding on theoretical framework of R. Almgren, R. Kissel and others by enabling real-time optimization capability for the algorithm via the derivation of a certain closed form analytical utility function

TIVE AND ECONOMETRIC METHODS • Multivariate statistics, Principal Component Analysis (PCA), Kernel PCA and Independent Component Analysis(ICA) • Stochastic Control and Stochastic Calculus. • DSP, Adaptive filtering, Kalman filters, Hidden Markov Model • Kernel Methods, Support Vector Machines • Cointegrati

ucially contributed to an analytical model design and filed a patent for this model. This included expanding on theoretical framework of R. Almgren, R. Kissel and others by enabling real-time optimization capability for the algorithm via the derivation of a certain closed form analytical utility function

TIVE AND ECONOMETRIC METHODS • Multivariate statistics, Principal Component Analysis (PCA), Kernel PCA and Independent Component Analysis(ICA) • Stochastic Control and Stochastic Calculus. • DSP, Adaptive filtering, Kalman filters, Hidden Igarkov Model • Kernel Methods, Support Vector Machines • Cointegrat

Pre-Trade Arrafrsis: designed and implemented advanced portfolio pre-trade analysis model which had significant advantage over regular models, e.g. R. Kissel, by accounting for serial correlations in both Liquidity and Portfolio risk estimation. • Agen9' Strategy Suite: implemented a number of trading st

TIVE AND ECONOMETRIC METHODS • Multivariate statistics, Principal Component Analysis (PCA), Kernel PCA and Independent Component Analysis(ICA) • Stochastic Control and Stochastic Calculus. • DSP, Adaptive filtering, Kalman filters, Hidden Markov Model • Kernel Methods, Support Vector Machines • Cointegrati