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      중국 거시경제의 변동이 주식시장에 미치는 영향 = The Influence of the Macro-Economy on the Chinese Stock Markets

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      https://www.riss.kr/link?id=A101696027

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      다국어 초록 (Multilingual Abstract)

      The analysis on the returns and volatility of stock price in stock market is one of the important research field in economics, and the issue such as the influence of macroeconomic variables on stock price has been examined over time. Since the fluctua...

      The analysis on the returns and volatility of stock price in stock market is one of the important research field in economics, and the issue such as the influence of macroeconomic variables on stock price has been examined over time. Since the fluctuation of a country’s stock market is always closely associated with the changes of macro-economy, it is highly possible that the variation of macroeconomic variables exert significant influences on the stock price and many literatures consider this relationship. However, the study on the Chinese stock market has it own especially important meanings. Firstly, due to the relatively short of the establishment period of Chinese stock market, the stock market in China is still not developed enough and has many inefficiency problems. The individual investment also takes up comparatively large proportions in market. These features thereby cause the instability of Chinese stock market. Therefore, different characteristics might be found on the relationship between macroeconomic variables and stock price in China. Secondly, compared with developed capitalist countries, the interference of Chinese government on the economic development is relatively severe, and the stock market is also often intervened under national regulations and controls. Thus, the relationship between the volatility of macroeconomic variables and stock price may present different features from those developed countries. Thirdly, unlike export-oriented emerging stock market such as Korea, Chinese stock market might be more affected by its national economic policies and the change of macroeconomic variables. Altogether, it is hard to determine, how can the variation of macro-economy will affect the fluctuation of stock price in China based on theoretical works. The empirical analysis should be conducted to judge the relationship between them. In addition, due to the existence of two stock exchanges in China, Shanghai stock exchange and Shenzhen stock exchange, the comparisons also should be analyzed to investigate how these two stock market react differently to the change of macroeconomic variables. This paper makes comparisons between macroeconomic variables and two stock markets. The paper adopts the macro-economic climate index, money supply, consumer price index, exchange rate, interest rate, total import and export volume as macroeconomic variables, two composite indexes of Shanghai Stock Exchange and Shenzhen Stock Exchange as the stock market variables to investigate the relationship between the macro economy and stock market by employing VAR-GARCH-BEKK model. The mean equation is set to be vector autoregressive (VAR) model for measuring the return spillover effect between macroeconomic variables and stock market index. Variance equation utilizes the bivariate GARCH-BEKK model for observing the volatility spillover effect between them. The analysis tries to figure out whether the stock market of Shanghai Stock Exchange and Shenzhen Stock Exchange has the different return and volatility spillover effect or not. The main findings of this study are summarized as follows: The return of macroeconomic variables has no significant impact on the returns of Chinese stock markets, implying there is no return spillover effect. However, the volatility of consumer price index exert significant influence on the volatility of Shanghai composite index. The volatility of the macroeconomic variables including money supply, consumer price index, and exchange rate significantly affect the volatility of Shenzhen composite index, and the influence of the volatility of exchange rate on the volatility of Shenzhen composite index is the strongest among them. The volatility spillover effect between macroeconomic variables and Shenzhen composite index is stronger than that between macroeconomic variables and Shanghai composite index. In addition, the volatility spillover effect between macroeconomic variables and stock market is more obvious than return spillover effect between them. These results can Chinese stock market investors to increase the returns and reduce the investment risks as far as possible. More attention shall be given to the change of macro economy, especially the change of the consumer price index.

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      참고문헌 (Reference)

      1 李成, "金融市场条件与货币政策关系的解析-基于四元VAR - GARCH(1,1) - BEKK 模型的分析" 2 : 71-80, 2010

      2 岳朝龙, "股市波动, 金融政策和宏观经济关系研究-基于因子VAR模型" 25 (25): 3-16, 2010

      3 曾志坚, "宏观经济变量对股票价格的影响研究" 28 (28): 40-45, 2007

      4 黎克俊, "外汇市场冲击与国内资本市场波动的关联机理解析" 31 (31): 45-52, 2011

      5 李成, "中国货币政策与股票市场溢出效应研究-基于VAR - GARCH - BEKK模型" 16 (16): 83-91, 2014

      6 王斌会, "中国股市, 汇市和债市间溢出效应的实证研究" 4 : 37-45, 2010

      7 范致镇, "中国汇市与股市的信息传递关系-基于股市’牛熊’特征的比较研究" 24 (24): 81-91, 2009

      8 Campbell, J. Y., "What Moves the Stock and Bond Markets? A Variance Decomposition for Long-Term Asset Returns" 48 (48): 3-37, 1993

      9 Mishra, A. K., "Volatility Spillover between Stock and Foreign Exchange Markets: Indian Evidence" 12 (12): 343-359, 2007

      10 Morelli, D., "The Relationship between Conditional Stock Market Volatility and Conditional Macroeconomic Volatility: Empirical Evidence Based on UK Data" 11 (11): 101-110, 2002

      1 李成, "金融市场条件与货币政策关系的解析-基于四元VAR - GARCH(1,1) - BEKK 模型的分析" 2 : 71-80, 2010

      2 岳朝龙, "股市波动, 金融政策和宏观经济关系研究-基于因子VAR模型" 25 (25): 3-16, 2010

      3 曾志坚, "宏观经济变量对股票价格的影响研究" 28 (28): 40-45, 2007

      4 黎克俊, "外汇市场冲击与国内资本市场波动的关联机理解析" 31 (31): 45-52, 2011

      5 李成, "中国货币政策与股票市场溢出效应研究-基于VAR - GARCH - BEKK模型" 16 (16): 83-91, 2014

      6 王斌会, "中国股市, 汇市和债市间溢出效应的实证研究" 4 : 37-45, 2010

      7 范致镇, "中国汇市与股市的信息传递关系-基于股市’牛熊’特征的比较研究" 24 (24): 81-91, 2009

      8 Campbell, J. Y., "What Moves the Stock and Bond Markets? A Variance Decomposition for Long-Term Asset Returns" 48 (48): 3-37, 1993

      9 Mishra, A. K., "Volatility Spillover between Stock and Foreign Exchange Markets: Indian Evidence" 12 (12): 343-359, 2007

      10 Morelli, D., "The Relationship between Conditional Stock Market Volatility and Conditional Macroeconomic Volatility: Empirical Evidence Based on UK Data" 11 (11): 101-110, 2002

      11 Ioannidis, C., "The Impact of Monetary Policy on Stock Prices" 30 (30): 33-53, 2008

      12 Kearney, C., "The Causes of Stock Market Volatility in Australia" 8 (8): 597-605, 1998

      13 Kang, S. H., "Structural Changes and Volatility Transmission in Crude Oil Markets" 390 (390): 4317-4324, 2011

      14 Fama, E. F., "Stock Returns, Expected Returns, and Real Activity" 45 (45): 1089-1108, 1990

      15 강상훈, "Spillover Effects between Exchange Rate and Stock Price in Asian Emerging Markets" 한국금융공학회 11 (11): 147-165, 2012

      16 Yang, S.-Y., "Price and Volatility Spillovers between Stock Prices and Exchange Rates: Empirical Evidence from the G-7 Countries" 3 (3): 139-153, 2004

      17 Sollis, R., "Predicting Returns and Volatility with Macroeconomic Variables: Evidence from Test of Encompassing" 24 (24): 221-231, 2005

      18 Ajayi, R. A., "On the Dynamic Relation between Stock Prices and Exchange Rates" 19 (19): 193-207, 1996

      19 Engle, R. F., "Multivariate Simultaneous Generalized ARCH" 11 : 122-150, 1995

      20 Liljeblom, E., "Macroeconomic Volatility and Stock Market Volatility: Empirical Evidence on Finnish Data" 7 (7): 419-426, 1997

      21 Ray, H., "Macroeconomic Link to Indian Capital Market: A Post-Liberalization Evidence" 5 (5): 272-288, 2014

      22 Singh, T., "Macroeconomic Factors and Stock Returns: Evidence from Taiwan" 2 (2): 217-227, 2011

      23 Abdullah, D. A., "Macroeconometrics of Stock Price Fluctuations" 32 (32): 50-67, 1993

      24 Wu, R. -S., "International Transmission Effect of Volatility between the Financial Markets during the Asian Financial Crisis" 12 (12): 19-35, 2005

      25 Pal, K., "Impact of Macroeconomic Indicators on Indian Capital Markets" 12 (12): 84-97, 2011

      26 Bollerslev, T., "Generalized Autoregressive Conditional Heteroskedasticity" 31 (31): 307-327, 1986

      27 Chen, S. -S., "Does Monetary Policy Have Asymmetric Effects on Stock Returns?" 39 (39): 667-688, 2007

      28 Dhakal, D., "Causality between the Money Supply and Share Price: A VAR Investigation" 32 (32): 52-74, 1993

      29 Engle, R. F., "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation" 50 (50): 987-1007, 1982

      30 Samontaray, D. P., "A Study of the Effect of Macroeconomic Variables on Stock Market: Saudi Perspective" 5 (5): 120-127, 2014

      31 Bollerslev, T., "A Capital Asset Pricing Model with Timevarying Covariances" 96 (96): 116-131, 1988

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      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2022 평가예정 재인증평가 신청대상 (재인증)
      2019-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2016-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2012-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2011-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2009-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.55 0.55 0.47
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.47 0.46 0.727 0.13
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