Re-Examining the Profitability of Technical Analysis with White’s Reality Check
Po-Hsuan Hsu and
Chung-Ming Kuan ()
No 04-A003, IEAS Working Paper : academic research from Institute of Economics, Academia Sinica, Taipei, Taiwan
Abstract:
In this paper, we re-examine the profitability of technical analysis using the Reality Check of White (2000, Econometrica) that corrects the data snooping bias. Comparing to previous studies, we study a more complete “universe” of trading techniques, including not only simple trading rules but also investor’s strategies, and we test the profitability of these rules and strategies with four main indices from both relatively mature and young markets. It is found that profitable simple rules and investor’s strategies do exist with statistical significance for NASDAQ Composite and Russell 2000 but not for DJIA and S&P 500. Moreover, the best rules for NASDAQ Composite and Russell 2000 outperform the buy-and-hold strategy in most in- and out-of-sample periods, even when transaction costs are taken into account. We also find that investor’s strategies are able to improve on the profits of simple rules and may even generate significant profits from unprofitable simple rules.
Keywords: data snooping; investor’s strategies; stationary bootstrap; technical analysis; trading rules; White’s Reality Check. (search for similar items in EconPapers)
Pages: 26 pages
Date: 2004-02
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://www.econ.sinica.edu.tw/~econ/pdfPaper/04-A003.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sin:wpaper:04-a003
Access Statistics for this paper
More papers in IEAS Working Paper : academic research from Institute of Economics, Academia Sinica, Taipei, Taiwan Contact information at EDIRC.
Bibliographic data for series maintained by HsiaoyunLiu ().