HackerPapers

arXiv:1303.4351q-fin.ST

Are random trading strategies more successful than technical ones?

A. E. Biondo, A. Pluchino, A. Rapisarda, D. Helbing

HN submission. Found in a submission link or body. Submitters do not count as commenters in the main ranking; a submission is not an endorsement.

Abstract

In this paper we explore the specific role of randomness in financial markets, inspired by the beneficial role of noise in many physical systems and in previous applications to complex socio- economic systems. After a short introduction, we study the performance of some of the most used trading strategies in predicting the dynamics of financial markets for different international stock exchange indexes, with the goal of comparing them with the performance of a completely random strategy. In this respect, historical data for FTSE-UK, FTSE-MIB, DAX, and S&P500 indexes are taken into account for a period of about 15-20 years (since their creation until today).

arXiv comments
17 pages, 9 figures
Journal reference
PLoS ONE 8(7): e68344 (2013)
DOI
doi:10.1371/journal.pone.0068344
Subjects
q-fin.STStatistical Finance

On Hacker News

No comments linking this paper were found in the collected sources. Found in 2 HN submissions from May 2015 to Jul 2020. Open submission discussions.

Comments linking this paper, per year.

Discussed in comments0 threads

No comments linking this paper were found in the collected sources. Open submission discussions.

Submitted to Hacker News

Connected through shared HN threads, not inferred similarity or a recommendation.