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The motivation of this paper is to introduce a short term adaptive model (Partial Swarm Optimizer combined with linear and nonlinear models when applied to the task of forecasting and trading the daily closing returns of the FTSE100 exchange traded funds (ETFs). This is done by benchmarking its...
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and volatility regimes. Using cointegrated price data, it is shown that increasing the number of assets in a portfolio … supports the proftability of the HFRA in an up-trend and reduces the potential loss of the HFRA in a down-trend in a high-volatility … environment. For low-volatility regimes, although increasing portfolio size marginally enhances the HFRA's proftability, the …
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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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Aim/purpose - In this paper, a market volatility-robust portfolio composition framework under the modified Markowitz … financial instruments formulation procedure at an increased market volatility. Design/methodology/approach - In order to … two states, i.e., quiescent (non-crisis; low market volatility) periods that are occasionally interspersed with stress …
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