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

Andriosopoulos Kostas, Michael Doumpos, Papapostolou Nikos C., Pouliasis Panos K.

Πλήρης Εγγραφή


URI: http://purl.tuc.gr/dl/dias/836ECFFF-32B1-4FB3-B066-F9217C6AA7D4
Έτος 2013
Τύπος Δημοσίευση σε Περιοδικό με Κριτές
Άδεια Χρήσης
Λεπτομέρειες
Βιβλιογραφική Αναφορά K. Andriosopoulos, M. Doumpos, N. C. Papapostolou and P. K. Pouliasis, "Portfolio optimization and index tracking for the shipping stock and freight markets using evolutionary algorithms," Transport. Res. E, vol. 52, pp. 16-34, Jun. 2013. doi:10.1016/j.tre.2012.11.006 https://doi.org/10.1016/j.tre.2012.11.006
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Περίληψη

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.

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