One challenge to academic studies of technical analysis—which uses trends in price movement to determine if an asset or an index is likely to rise or fall—is the lack of allowance for subjective decision making.
This argument describes technical analysis as having an “artistic aspect” to it.
A study of technical analysis–based buy and sell recommendations on Dutch-listed firms and for the major Dutch indexes found that this assertion does not hold up to scrutiny.
Rather, recommendations were found to be “largely in line with simple technical trading rules.”
The study tracked more than 5,000 buy and sell recommendations made between 2004 and December 2010. About half of the recommendations were made by individual technical analysts and half were made by automatic technical analysis services. Eight indicators were checked, including moving averages, moving average crossovers, Bollinger bands, moving average convergence divergence (MACD), relative strength index, rate of change, support and resistance and on-balance volume.
The results were critical of the recommendations. Average abnormal returns were found to be negative over each of the following four five-day periods (day one through five, six through 10, etc.) following recommendations to buy a stock. Average abnormal returns for sell recommendations were barely negative during the first five days, but then turned positive over the following three five-day periods.
Commenting on the findings, the study’s author observed, “In the event of a buy recommendation on stocks, consistent outperformance is virtually non-existent after the day of the recommendation. The same holds for sell recommendations.”
Rather than exhibiting market timing skills, the technical analysts followed merely demonstrated skill in “predicting the past.” Buy recommendations were issued on stocks with positive average returns over the short-term period leading up to the day of the recommendation and sell recommendations were issued on stocks with negative average returns leading up to the recommendation.
Source: “Are Chartists Artists? The Determinants and Profitability of Recommendations Based on Technical Analysis,” Dirk F. Gerritsen, SSRN, February 22, 2016.
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