Portfolio optimization and index tracking for the shipping stock and freight markets using evolutionary algorithms

被引:29
作者
Andriosopoulos, Kostas [1 ]
Doumpos, Michael [2 ]
Papapostolou, Nikos C. [3 ]
Pouliasis, Panos K. [3 ]
机构
[1] ESCP Europe Business Sch, London NW3 7BG, England
[2] Tech Univ Crete, Dept Prod Engn & Management, Khania 73100, Greece
[3] City Univ London, Cass Business Sch, London EC1Y 8TZ, England
关键词
Index tracking; Investment strategies; Shipping; Evolutionary algorithms; Optimization; Stationary bootstrap; PERFORMANCE; SELECTION; RISK; RETURNS; MODELS; FUNDS;
D O I
10.1016/j.tre.2012.11.006
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper reproduces the performance of an international market capitalization shipping stock index and two physical shipping indexes by investing only in US stock portfolios. The index-tracking problem is addressed using the differential evolution algorithm and the genetic algorithm. Portfolios are constructed by a subset of stocks picked from the shipping or the Dow Jones Composite Average indexes. To test the performance of the heuristics, three different trading scenarios are examined: annually, quarterly and monthly rebalancing, accounting for transaction costs where necessary. Competing portfolios are also assessed through predictive ability tests. Overall, the proposed investment strategies carry less risk compared to the tracked benchmark indexes while providing investors the opportunity to efficiently replicate the performance of both the stock and physical shipping indexes in the most cost-effective way. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:16 / 34
页数:19
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