کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
974737 1480134 2015 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Profitability of simple technical trading rules of Chinese stock exchange indexes
ترجمه فارسی عنوان
سودآوری قوانین تجاری فنی ساده شاخص های بورس چینی
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات فیزیک ریاضی
چکیده انگلیسی


• Profitability of simple technical trading rules is investigated on Chinese stock exchange indexes.
• We focus on moving average and trading range break rules.
• Trading range break rules outperform moving average rules.
• Short-term VMA rules outperform long-term VMA rules.
• Simple trading rules cannot beat the standard buy-and-hold strategy for Chinese stock indexes.

Although technical trading rules have been widely used by practitioners in financial markets, their profitability still remains controversial. We here investigate the profitability of moving average (MA) and trading range break (TRB) rules by using the Shanghai Stock Exchange Composite Index (SHCI) from May 21, 1992 through December 31, 2013 and Shenzhen Stock Exchange Component Index (SZCI) from April 3, 1991 through December 31, 2013. The tt-test is adopted to check whether the mean returns which are conditioned on the trading signals are significantly different from unconditioned returns and whether the mean returns conditioned on the buy signals are significantly different from the mean returns conditioned on the sell signals. We find that TRB rules outperform MA rules and short-term variable moving average (VMA) rules outperform long-term VMA rules. By applying White’s Reality Check test and accounting for the data snooping effects, we find that the best trading rule outperforms the buy-and-hold strategy when transaction costs are not taken into consideration. Once transaction costs are included, trading profits will be eliminated completely. Our analysis suggests that simple trading rules like MA and TRB cannot beat the standard buy-and-hold strategy for the Chinese stock exchange indexes.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physica A: Statistical Mechanics and its Applications - Volume 439, 1 December 2015, Pages 75–84
نویسندگان
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