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-of-sample volatility if a jump in systematic risk occurs. Chapter 2 introduces a covariance estimation approach which is based solely on …Modern Portfolio Theory (MPT) provides an elegant mathematical framework for the efficient portfolio allocation problem … problems of traditional mean-variance optimization originating from model- and estimation errors. In order to simultaneously …
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risk assessment, uncertainty-penalized optimization to counter estimation error and improve realized utility, and …
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analyse and account for spatial correlation in regression models with normally distributed responses, far less work has been …
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An investment is a commitment of funds made in the expectation of some positive rate of return. A fundamental principle of investments is diversification, where investors diversify their investments into different types of financial assets. The different stocks can be clubbed in one portfolio....
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With the advances in time-series prediction, several recent developments in machine learning have shown that integrating prediction methods into portfolio selection is a great opportunity. In this paper, we propose a novel approach to portfolio formation strategy based on a hybrid machine...
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