日内收益率预测:基于日内跳跃和动量研究
Intraday return predictability:Based on intraday jumps and momentum
查看参考文献36篇
文摘
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对日内收益率的预测是学术界近年来研究的热点问题.基于日内跳跃和日内动量的视角,研究探讨了中国股票市场的日内收益率预测.主要实证结果为:基于LM跳跃检验识别跳跃成分,并以此作为解释变量引入动量模型中,利用迭代窗口和样本外预测检验手段发现跳跃有助于增强日内动量效应,即第一个半小时和(或)第七个半小时的收益率对最后一个半小时收益率的预测能力显著提升;另外,利用投资组合策略来评价日内跳跃对模型的经济价值影响发现,相比已有动量模型,含有跳跃的动量模型可获得更高的组合收益,而且还具有更低的组合风险;进一步,还探讨了在金融危机前后、不同的波动率和交易量时期日内跳跃对日内收益率的预测影响,发现在非危机时期、高波动和中交易量时期日内跳跃能显著提升对最后半小时收益率的预测精度. |
其他语种文摘
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Recently,the predictability of intraday return is a hot topic in academic.Our paper explores the intraday return predictability of the Chinese stock market based on intraday jumps and momentum.The main findings are as follows.First,we use the LM jump test to obtain intraday jumps,which is used to predict intraday return,and then find it is useful.In detail,the prediction effect of the first and seventh half-hour to the last half-hour has significantly improved from a statistical view.Second,from an economic view,we find the intraday jumps can gain more economic values and own lower risk.Moreover,we find that jumps can obtain higher predictability during non-crisis,high volatility and middle volume. |
来源
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系统工程理论与实践
,2021,41(8):2004-2014 【核心库】
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DOI
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10.12011/SETP2020-0296
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关键词
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日内收益率预测
;
日内动量效应
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日内跳跃
;
LM跳跃检验
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地址
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西南交通大学经济管理学院, 成都, 610031
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语种
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中文 |
文献类型
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研究性论文 |
ISSN
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1000-6788 |
学科
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社会科学总论 |
基金
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国家自然科学基金
;
国家教育部人文社会科学研究青年项目
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文献收藏号
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CSCD:7039799
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参考文献 共
36
共2页
|
1.
Campbell J Y. Predicting excess stock returns out of sample: Can anything beat the historical average?.
The Review of Financial Studies,2008,21(4):1509-1531
|
CSCD被引
28
次
|
|
|
|
2.
Welch I. A comprehensive look at the empirical performance of equity premium prediction.
The Review of Financial Studies,2008,21(4):1455-1508
|
CSCD被引
21
次
|
|
|
|
3.
姜富伟. 中国股票市场可预测性的实证研究.
金融研究,2011(9):107-121
|
CSCD被引
14
次
|
|
|
|
4.
Jegadeesh N. Returns to buying winners and selling losers: Implications for stock market efficiency.
The Journal of Finance,1993,48(1):65-91
|
CSCD被引
102
次
|
|
|
|
5.
Griffin J M. Momentum investing and business cycle risk: Evidence from pole to pole.
The Journal of Finance,2003,58(6):2515-2547
|
CSCD被引
3
次
|
|
|
|
6.
Grinblatt M. Momentum investment strategies, portfolio performance, and herding: A study of mutual fund behavior.
The American Economic Review,1995,85(5):1088-1105
|
CSCD被引
3
次
|
|
|
|
7.
吴世农. 我国股票市场"价格惯性策略"和"盈余惯性策略"的实证研究.
经济科学,2003(4):41-50
|
CSCD被引
6
次
|
|
|
|
8.
Gao L. Market intraday momentum.
Journal of Financial Economics,2018,129(2):394-414
|
CSCD被引
2
次
|
|
|
|
9.
Moskowitz T J. Time series momentum.
Journal of Financial Economics,2012,104(2):228-250
|
CSCD被引
6
次
|
|
|
|
10.
Asness C S. Value and momentum everywhere.
The Journal of Finance,2013,68(3):929-985
|
CSCD被引
12
次
|
|
|
|
11.
Huang D. Time series momentum: Is it there?.
Journal of Financial Economics,2020,135(3):774-794
|
CSCD被引
1
次
|
|
|
|
12.
Andersen T G. Modeling and forecasting realized volatility.
Econometrica,2003,71(2):579-625
|
CSCD被引
101
次
|
|
|
|
13.
马锋. 基于符号收益和跳跃变差的高频波动率模型.
管理科学学报,2017,20(10):31-43
|
CSCD被引
16
次
|
|
|
|
14.
Bogousslavsky V. Infrequent rebalancing, return autocorrelation, and seasonality.
Journal of Finance,2016,71:2967-3006
|
CSCD被引
1
次
|
|
|
|
15.
Ball R. An empirical evaluation of accounting income numbers.
Journal of Accounting Research,1968,6:159-178
|
CSCD被引
58
次
|
|
|
|
16.
Chan W S. Stock price reaction to news and no-news: Drift and reversal after headlines.
Journal of Financial Economics,2003,70(2):223-260
|
CSCD被引
20
次
|
|
|
|
17.
Zhang Y. Intraday momentum and stock return predictability: Evidence from China.
Economic Modelling,2018,76:319-329
|
CSCD被引
1
次
|
|
|
|
18.
Li Y. Does intraday time-series momentum exist in Chinese stock index futures market?.
Finance Research Letters,2020,35:101-292
|
CSCD被引
1
次
|
|
|
|
19.
Wen Z. Intraday momentum and return predictability: Evidence from the crude oil market.
Economic Modelling,2020
|
CSCD被引
1
次
|
|
|
|
20.
马锋. 基于马尔科夫状态转换和跳跃的高频波动率模型预测.
系统工程,2016,34(1):10-16
|
CSCD被引
8
次
|
|
|
|
|