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network without compromising prediction accuracy. We evaluate its performance by predicting the daily volatility and closing …
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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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This paper examines how volatility positions can be optimally constructed by modeling the selection process as a linear … parameters to be applied in the optimization process for robust position risk management. We use implied volatility decreases …) events to construct a linear system where feasible solutions represent an investor’s optimal volatility position. Significant …
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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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Several exchanges in futures and options deploy pro-rata matching. The executed size of limit orders in pro-rata markets is never certain, unlike in price-time priority matching systems. This article derives the optimal size of limit orders in pro-rata markets given the trader's desired...
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