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基于状态转移模型的我国股指期货走势预测方法
引用本文:丁岩. 基于状态转移模型的我国股指期货走势预测方法[J]. 价值工程, 2011, 30(17): 131-132
作者姓名:丁岩
作者单位:电子科技大学,成都,610054
摘    要:
文章应用马尔科夫状态转移模型,假定股指期货收益服从正态分布,将中国内地股指期货品种IF1103收益分为三个状态,发现80%的收益都很平稳,波动不大,且持续时间长,少数收益波动很大,持续时间很短,这与实际基本符合。

关 键 词:状态转移模型  股指期货  马尔科夫链

Prediction of Stock Index Futures of China Based on Markov Regime Switching Model
Ding Yan. Prediction of Stock Index Futures of China Based on Markov Regime Switching Model[J]. Value Engineering, 2011, 30(17): 131-132
Authors:Ding Yan
Affiliation:Ding Yan(University of Electronic Science and Technology of China,Chengdu 610054,China)
Abstract:
In this paper,we use Markov regime switching model to assume stock index futures gain follow normal distribution,divide Chinese mainland stock index futures IF1103 income into three states and find that 80% of the revenue is very stable,volatility is low and keeps long duration;a few yields have great volatility and the duration is very short,which match the reality basically.
Keywords:regime switching model  stock index futures  Markov chain  
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