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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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Mathematical programming (MP) is a widespread approach to depict production and investment decisions of agents in agent-based models (ABM) related to agriculture. However, introducing dynamics and indivisibilities in MP models renders their solution computing time intensive. We present a...
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This paper studies optimal task assignments in a setting where agents are expectation-based loss averse according to KoszegiRabin (2006) and KoszegiRabin (2007) and are compensated according to an aggregated performance measure in which tasks are technologically independent. We show that the...
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