系统工程理论与实践
繫統工程理論與實踐
계통공정이론여실천
Systems Engineering—Theory & Practice
2014年
4期
817~825
,共null页
李俊照 郭坤 姚宏亮 王浩 方帅
李俊照 郭坤 姚宏亮 王浩 方帥
리준조 곽곤 요굉량 왕호 방수
马尔可夫毯 房地产板块 Granger因果检验 时序回归
馬爾可伕毯 房地產闆塊 Granger因果檢驗 時序迴歸
마이가부담 방지산판괴 Granger인과검험 시서회귀
Markov blanket; real estate plate; Granger causality test; timing sequence regression
房地产板块是中国股市的核心行业板块,房地产板块股价指数走势的分析有助于对中国股市态势的正确把握.针对行业板块之间的相关性难以发现和房地产板块股价指数难以有效预测的问题,基于股市行业板块之间指数波动的相关性,利用马尔可夫毯学习算法选择与房地产板块相关的行业板块,通过因果分析避免现行方法中选取相关板块的主观性;进而,利用Granger因果检验从中选择与房地产板块存在时序因果关系的板块,从而构建房地产板块的向量时序回归模型,实现对房地产板块股价指数的有效预测;最后,通过脉冲响应和方差分解对模型进行分析.对于上证股市所进行的实验比较和实证分析的结果表明,该方法能有效预测房地产板块股价指数的走势.
房地產闆塊是中國股市的覈心行業闆塊,房地產闆塊股價指數走勢的分析有助于對中國股市態勢的正確把握.針對行業闆塊之間的相關性難以髮現和房地產闆塊股價指數難以有效預測的問題,基于股市行業闆塊之間指數波動的相關性,利用馬爾可伕毯學習算法選擇與房地產闆塊相關的行業闆塊,通過因果分析避免現行方法中選取相關闆塊的主觀性;進而,利用Granger因果檢驗從中選擇與房地產闆塊存在時序因果關繫的闆塊,從而構建房地產闆塊的嚮量時序迴歸模型,實現對房地產闆塊股價指數的有效預測;最後,通過脈遲響應和方差分解對模型進行分析.對于上證股市所進行的實驗比較和實證分析的結果錶明,該方法能有效預測房地產闆塊股價指數的走勢.
방지산판괴시중국고시적핵심행업판괴,방지산판괴고개지수주세적분석유조우대중국고시태세적정학파악.침대행업판괴지간적상관성난이발현화방지산판괴고개지수난이유효예측적문제,기우고시행업판괴지간지수파동적상관성,이용마이가부담학습산법선택여방지산판괴상관적행업판괴,통과인과분석피면현행방법중선취상관판괴적주관성;진이,이용Granger인과검험종중선택여방지산판괴존재시서인과관계적판괴,종이구건방지산판괴적향량시서회귀모형,실현대방지산판괴고개지수적유효예측;최후,통과맥충향응화방차분해대모형진행분석.대우상증고시소진행적실험비교화실증분석적결과표명,해방법능유효예측방지산판괴고개지수적주세.
The real estate plate plays an important role in China's stock market, the real estate plate stock price index trend analysis helps to understand the Chinese stock market situation correctly. For the correlation between industry plates is difficult to find in the stock market and the real estate plate stock price index is hard to predict. Based on the stock market index fluctuation correlations between plates, the industry plates correlated with the real estate plate were selected by using Markov blanket algorithm. Causal analysis method was used to avoid the subjectivity of selecting relevant plate in current methods. Then from those plates above we found which plate had sequential causality with the real estate plate by Granger causality test, established timing sequence regression model with real estate plate to predict real estate plate stock price index effectively. In the end the model was analyzed by impulse response and variance decomposition. For the Shanghai stock market the experimental comparison and empirical analysis of the results showed that, this method can effectively predict the real estate plate stock index trend.