系统工程理论与实践
繫統工程理論與實踐
계통공정이론여실천
Systems Engineering—Theory & Practice
2015年
7期
1657~1665
,共null页
姚晓阳 孙晓蕾 吴登生 杨玉英
姚曉暘 孫曉蕾 吳登生 楊玉英
요효양 손효뢰 오등생 양옥영
风险相关性 互信息熵 国家风险 广义相关系数
風險相關性 互信息熵 國傢風險 廣義相關繫數
풍험상관성 호신식적 국가풍험 엄의상관계수
risk correlation;mutual information entropy;country risk;generalized correlation coefficient;
国家间国家风险的相互关联状况, 已成为影响全球投资战略和国际资本流动的重要决定因素, 因此有必要深入识别国家风险相关性特征. 本文基于信息熵理论, 引入互信息构建广义相关系数刻画国家风险间复杂的相关关系, 并通过构建"多阶段-多要素"的分析框架, 刻画了2007 年金融危机前后政治、经济、金融三种国家风险要素的相关性特征差异. 以金砖国家为例, 研究发现: 金融危机前后综合国家风险相关性变化明显; 即使国家间综合国家风险相关性变化趋势相似, 但其内在的国家风险要素相关性特征差异显著. 研究结果有利于国际投资者规避来自国家层面的不确定性损失, 对国际贸易与投资有着重要的指导意义.
國傢間國傢風險的相互關聯狀況, 已成為影響全毬投資戰略和國際資本流動的重要決定因素, 因此有必要深入識彆國傢風險相關性特徵. 本文基于信息熵理論, 引入互信息構建廣義相關繫數刻畫國傢風險間複雜的相關關繫, 併通過構建"多階段-多要素"的分析框架, 刻畫瞭2007 年金融危機前後政治、經濟、金融三種國傢風險要素的相關性特徵差異. 以金磚國傢為例, 研究髮現: 金融危機前後綜閤國傢風險相關性變化明顯; 即使國傢間綜閤國傢風險相關性變化趨勢相似, 但其內在的國傢風險要素相關性特徵差異顯著. 研究結果有利于國際投資者規避來自國傢層麵的不確定性損失, 對國際貿易與投資有著重要的指導意義.
국가간국가풍험적상호관련상황, 이성위영향전구투자전략화국제자본류동적중요결정인소, 인차유필요심입식별국가풍험상관성특정. 본문기우신식적이론, 인입호신식구건엄의상관계수각화국가풍험간복잡적상관관계, 병통과구건"다계단-다요소"적분석광가, 각화료2007 년금융위궤전후정치、경제、금융삼충국가풍험요소적상관성특정차이. 이금전국가위례, 연구발현: 금융위궤전후종합국가풍험상관성변화명현; 즉사국가간종합국가풍험상관성변화추세상사, 단기내재적국가풍험요소상관성특정차이현저. 연구결과유리우국제투자자규피래자국가층면적불학정성손실, 대국제무역여투자유착중요적지도의의.
Correlation of country risk between different countries has been a crucial influencing factor for worldwide investment strategy and international capital flow. Given this, identifying the correlation characteristics is of great importance. In this paper, mutual information is introduced based on the information entropy theory to construct globalized correlation, which will be used to depict the complex correlation relationship between different countries' country risk. Further, a ‘multi-phase & multi-elements’ frame is proposed and correlation characteristic differences before and after financial crisis in 2007 for political/economic/financial risk are given respectively. BRICS countries are selected as the sample countries, and results as follows are obtained. For composite country risk, after the crisis correlation between the five countries changes obviously compared with its behavior before the financial crisis. Even if correlation of composite country risk changes in the same way, the correlation characteristics for different country risk elements may also behave differently. Results obtained in this paper can not only help international investors avoiding lost coming from country risk, but also offer guidance for international trade and investment.