DOI QR코드

DOI QR Code

Test for Theory of Portfolio Diversification

포트폴리오 분산투자 이론의 검정

  • Kim, Tae-Ho (Department of Information Statistics, Chungbuk National University) ;
  • Won, Youn-Jo (Department of Information Statistics, Chungbuk National University)
  • 김태호 (충북대학교 정보통계학과) ;
  • 원윤조 (충북대학교 정보통계학과)
  • Received : 20100800
  • Accepted : 20101000
  • Published : 2011.02.28

Abstract

This study investigates the dynamic structure of interdependence on the domestic and related major stock markets by employing a statistical framework. Finance theory predicts potential gains by international portfolio diversification if returns from investment in different national stock markets are not perfectly correlated or not cointegrated. The benefit of international diversification is limited when national stock markets are cointegrated because of the limited amount of independent variation by the presence of common factors. The statistical tests suggest that international diversification appears to be favorable after the period of the comovement of the stock prices caused by 1997 Asian financial crisis. The result reflects the increase in overseas investment and purchase of overseas funds after the early 2000's.

본 연구는 포트폴리오 이론에 입각해 위험을 최소화하기 위한 투자의 국제적 분산 가능성에 대해 통계적으로 검정해 보았다. 국내외 주요 주식시장 간 동적 상호의존 관계와 구조변화를 검색하는 접근방식을 적용시켜 본 결과 아시아 외환위기에 따른 공통요인들의 존재로 인해 각 주식시장의 독자적 변동이 제약을 받아 투자의 다각화에 따른 수익이 제한되는 것으로 나타났다. 투자 다변화 여건이 조성되는 시기는 주식시장 간 동조화 현상이 약화된 이후로 판명되며, 검정결과는 당시 해외투자와 펀드판매의 증가 시기 및 시장성향의 현실을 그대로 반영한다.

Keywords

References

  1. 김찬웅, 문규현, 홍정효 (2003). 나스닥시장의 코스닥 및 자스닥시장에 대한 정보이전 효과에 관한 연구, <재무관리연구>, 20, 163–190.
  2. 지청, 조담, 양채열 (2001). 우리나라 주가변동에 대한 미국 주가의 영향, <증권학회지>, 28, 1-19.
  3. Bahmani-Oskooee, M. and Brooks, T. J. (1999). Cointegration approach to estimating bilateral trade elasticities between U.S. and her trading partners, International Economic Journal, 13, 119-128. https://doi.org/10.1080/10168739900080032
  4. Baillie, R. T. and Bollerslev, T. (1989). The message in daily exchange rates : A conditional variance tale, Journal of Business and Economic Statistics, 7, 297–305. https://doi.org/10.2307/1391527
  5. Bessler, D. A. and Yang, J. (2003). The structure of interdependence in international stock markets, Journal of International Money and Finance, 22, 261–287.
  6. Ericsson, N. R., Hendry, D. F. and Mizon, G. E. (1998). Exogeneity, cointegration and economic policy analysis, Journal of Business and Economic Statistics, 16, 370–387.
  7. Ghosh, A., Saidi, R. and Johnson, K. H. (1999). Who moves the Asia-Pacific stock markets-US or Japan? empirical evidence based on the theory of cointegration, The Financial Review, 34, 159-170.
  8. Granger, C. (1981). Some properties of time series data and their use in econometric model specification,Journal of Econometrics, 16, 121–130.
  9. Granger, C. W. J. and Hallman, J. J. (1991). Long memory series with attractors, Oxford Bulletin of Eco-nomics and Statistics, 53, 11–26.
  10. Hall, S. G. (1989). Maximum likelihood estimation of cointegration vectors : An example of the Johansen procedure, Oxford Bulletin of Economics and Statistics, 52, 213–218.
  11. Malliaropulos, D. and Priestley, R. (1999). Mean reversion in Southeast Asian stock markets, Journal of Empirical Finance, 6, 355–384.
  12. Pantula, S. G., Gonzalo-Farias, G. and Fuller, W. A.(1994). A comparison of unit-root test criteria, Journal of Business and Economic Statistics, 12, 449–459.
  13. Pearl, J. (1995). Causal diagram for empirical research, Biometrika, 82, 669-710. https://doi.org/10.1093/biomet/82.4.669
  14. Phillips, P. (1998). Impulse response and forecast error variance asymptotics in nonstationary VARs, Journal of Econometrics, 83, 21–56.
  15. Swanson, N. R. and Granger, C. W. J. (1997). Impulse response functions based on a causal approach to residual orthogonalization in vector autoregressions, Journal of the American Statistical Association, 92, 357–367.
  16. Zeileis, A., Kleiker, C., Kramer, W. and Hornik, K. (2003). Testing and dating of structural changes in practice, Computational Statistics and Data Analysis, 44, 1–38.

Cited by

  1. Statistical testings for common stochastic trends in markets under recession vol.29, pp.4, 2016, https://doi.org/10.5351/KJAS.2016.29.4.559
  2. Variable Selection in Clustering by Recursive Fit of Normal Distribution-based Salient Mixture Model vol.26, pp.5, 2013, https://doi.org/10.5351/KJAS.2013.26.5.821