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作 者:XIE Haibin BIAN Jiangze WANG Mingxi QIAO Han
机构地区:[1]Research Center of Applied Finance, University of International Business and Economics, Beijing 100029, [2]School of Banking and Finance, University of International Business and Economics, Beijing 100029, China. [3]School of International Trade and Economics, University of International Business and Economics, Beijing100029, China. [4]School Management, China University of Mining and Technology, Beijing 100083, China.
出 处:《Journal of Systems Science & Complexity》2014年第1期144-156,共13页系统科学与复杂性学报(英文版)
基 金:supported by Social Science Foundation of Ministry of Education of China under Grant No.12YJC790001;National Social Science Foundation of China under Grant No.12CJY117;the National Natural Science Foundation of China under Grant Nos.71003057 and 71373262;the Program for Innovative Research Team and“211”Program in UIBE
摘 要:The paper proposes a new approach -- The decomposition-based vector autoregressive (DVAR) model to scrutinize the predictability of the UK stock market. Empirical studies performed on the monthly British FTSE100 index over 1984-2012 confirm that the DVAR model does provide informative forecasts for both in-sample and out-of-sample forecasts. Trading strategies based on the DVAR forecasts can Significantly beat the simple buy-and-hold, which demonstrates the valuable information provided by technical analysis in the UK stock market.
关 键 词:DVAR stock market predictability technical analysis UK stock market.
分 类 号:F831.51[经济管理—金融学] O212.1[理学—概率论与数理统计]
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