The trading time risks of stock investment in stock price drop

被引:1
|
作者
Li, Jiang-Cheng [1 ,2 ]
Tang, Nian-Sheng [1 ]
Mei, Dong-Cheng [3 ]
Li, Yun-Xian [1 ,2 ]
Zhang, Wan [2 ]
机构
[1] Yunnan Univ, Dept Stat, Kunming 650091, Peoples R China
[2] Yunnan Univ Finance & Econ, Sch Finance, Kunming 650221, Peoples R China
[3] Yunnan Univ, Dept Phys, Kunming 650091, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Escape time; Financial markets; Stability; Stock investment; Time risk; MODEL; RETURNS; NOISE; DISTRIBUTIONS; FLUCTUATIONS; PROBABILITY; VOLATILITY; PORTFOLIO; DELAYS;
D O I
10.1016/j.physa.2016.06.064
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
This article investigates the trading time risk (TTR) of stock investment in the case of stock price drop of Dow Jones Industrial Average (<<<^>>>DJI) and Hushen300 data (CSI300), respectively. The escape time of stock price from the maximum to minimum in a data window length (DWL) is employed to measure the absolute TTR, the ratio of the escape time to data window length is defined as the relative TTR. Empirical probability density functions of the absolute and relative TTRs for the <<<^>>>DB and CSI300 data evidence that (i) whenever the DWL increases, the absolute TTR increases, the relative TTR decreases otherwise; (ii) there is the monotonicity (or non-monotonicity) for the stability of the absolute (or relative) TTR; (iii) there is a peak distribution for shorter trading days and a two-peak distribution for longer trading days for the PDF of ratio; (iv) the trading days play an opposite role on the absolute (or relative) TTR and its stability between <<<^>>>DJI and CSI300 data. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:778 / 787
页数:10
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