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  • 标题:Construction of currency portfolios by means of an optimized investment strategy
  • 本地全文:下载
  • 作者:Spyros K. Chandrinos ; Nikos D. Lagaros
  • 期刊名称:Operations Research Perspectives
  • 印刷版ISSN:2214-7160
  • 电子版ISSN:2214-7160
  • 出版年度:2018
  • 卷号:5
  • 页码:32-44
  • DOI:10.1016/j.orp.2018.01.001
  • 语种:English
  • 出版社:Elsevier
  • 摘要:Highlights•Development of a new trading tool: the Modified Renko Bar (MRB).•We prove that the application of MRB in eight currency pairs increases the performance of channel breakout trading strategy by an average 30%.•Calibration of the parameters of the MRB channel strategy based on three optimization algorithms and analysis of the results.•Construction of two types of currency portfolio: an equally weighted one and a portfolio based on Kelly Criterion.•We succeed to beat fundamental benchmarks such as Standard & Poor's 500 and Barclay CTA Index.AbstractThis work focuses on the development of a technical breakout trading strategy based on the Donchian Channel approach, aiming to the construction of profitable portfolios. In this direction, the Modified Renko Bars (MRBs) were developed first; that proved to be a useful trading tool that responses more accurately than the normal candle sticks to the nature and characteristics of the FOREX market. Subsequently, the parameters of the trading strategy (or system) are calibrated for eight currency pairs, over a period of four years (2006–2009), by comparing the performance of three global search derivative-free optimization algorithms. Then, the returns of the developed system are tested for the next seven years (2010–2016) for each pair and two types of portfolios are constructed; an equal weighted one and a portfolio based on the Kelly criterion. The ultimate objective of this paper is to create currency portfolios based on a novel optimized trading strategy, which could beat constantly the main investors’ benchmarks (i.e. S&P500, Barclay CTA Index).
  • 关键词:KeywordsInvestment strategyOptimization algorithmsProfitable portfoliosCurrencies
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