본문 바로가기
KERD
논문KCI 등재

글로벌 금융변수를 고려한 원/달러, 엔/달러, 유로/달러, 위안/달러 간의 상호관계 분석

An Analysis on the interrelationships between Won/Dollar and Yen/Dollar, Euro/Dollar, CNY/Dollar Exchange Rates with Considering global financial variables

0

조회

0

다운로드

3

인용

0

참고문헌

키워드

주제분류경제학

초록

본 연구는 Primiceri(2005)와 Canova and Forero(2015) 등의 TVP-SVAR 모형을 통해 엔/달러, 유로/달러, 위안/달러와 원/달러환율 간의 동시기 상호관계를 동태적으로 살펴보았다. 이때 달러인덱스, 다우존스지수, TED 스프레드, VIX 지수 등을 Lastrapes(2005, 2006)의 block-exogenous 가정을 통해 외생변수로 적용하였다. 그 결과 원/달러환율에 대해 달러인덱스, TED 스프레드, VIX 지수 등은 전반적으로 양(+)의 인과관계가 강하게 나타났으며, 다우존수지수는 음(-)의 인과관계를 지속적으로 유지하였다. 원/달러환율은 2004년부터 2009년에 엔/달러환율에 대한 강한 역동조화 현상이 확인된다. 글로벌 금융위기 이후 엔/달러환율에 대한 원/달러환율의 인과관계가 상승추세를 보이면서 엔/달러환율에 대한 원/달러환율의 역동조화는 동조화로 전환되며, 아베노믹스를 기점으로 동조화는 일정수준을 유지하게 된다. 반면 유럽의 양적완화정책이 강화되면서 유로/달러환율에 대한 원/달러환율의 동조성이 약화되어 엔/달러환율과 상반된 결과를 보여준다. 위안/달러환율에 대한 원/달러환율의 동조성은 관리변동환율제도보다 고정환율제도일 때 다소 높게 나타났다. 추가적으로 글로벌 금융변수가 원/달러환율에 미치는 영향이 대미환율 간 영향보다 크며, 한국 외환시장의 소규모 개방경제 특성을 확인할 수 있었다.

Abstract

This study analyzes simultaneous interrelationships Won/dollar, Yen/dollar, Euro/dollar, and CNY/dollar with international financial variables as exogenous variables. It is estimated dynamically through TVP-SVAR model of Primiceri(2005) and Canova and Forero(2015). According to the empirical results of this study, each contemporaneous relationship from USDX, TED spread, and VIX index to Won/dollar is positive, but from DJIA to Won/dollar is negative. However, above results are changed through time, which is using time varying coefficients from bayesian method. It shows strong decoupling between Won/dollar and Yen/dollar exchange rates during 2004-2009 and then the comovement between Won/dollar and Yen/dollar is recovered after Global Financial Crisis. In contrast, Euro/dollar and Won/dollar are strong comovement before Global Financial Crisis, and weak coupling after Global Financial Crisis. The Chinese government is changing the exchange rate regime from fixed to managed flexible exchange rate system, which occurs weaker comovement between CNY/dollar and Won/dollar. Additionally, the effect of Global Financial Variables on Won/dollar exchange rate is stronger than foreign U.S. Dollar exchange rates. The effect of Won/dollar on other U.S. Dollar exchange rates is negligible, which shows small open economics in the Korean Exchange rate market.

참고문헌 (52)

  1. 김종선, "환율전쟁에 따른 원", 달러 환율과 엔, 무역보험연구, pp.2013, 14(2)[DOI]
  2. 이근영, "원-달러환율과 엔-달러환율 간의 상관관계분석", 국제경제연구, 6(3), pp.45~70 (2000), 한국국제경제학회
  3. 이근영, "동조화 현상의 동태적 분석 : 원", 달러와 엔, 경제학연구, pp.2001, 49(4)[DOI]
  4. 이근영, "원", 달러 환율의 標本外 豫測, 2009, pp.15(2), 23~53[DOI]
  5. 이근영, "국제금융시장 충격이 국내금융시장 변동성에 미치는 영향", 금융연구, 24(4), pp.49~85 (2010), 한국금융학회
  6. 이근영, "아시아 외환시장의 상호연계성 측정", 한국경제의 분석, 19(3), pp.167~231 (2013), 한국경제의 분석패널
  7. 이근영, "엔", 달러와 원, 경제분석, pp.2016, 22(1)[DOI]
  8. 정재식, "준비모수 모형을 이용한 원", 달러, 엔, Journal of The Korean Data Analysis Society, pp.2011, 13(2)[DOI]
  9. 조하현, "원", 달러 환율과 엔, 국제경제연구, pp.2004, 10(3)[DOI]
  10. 최동용, "비선형 오차수정 모형을 이용한 명목 환율추정", POSRI 경영연구, 4(2), pp.211~224 (2004), 포스코경영연구소
  11. 홍정효, "국제통화선물시장사이의 동조화에 관한 연구", 대한경영학회지, 24(3), pp.1625~1637 (2011), 대한경영학회
  12. Ahmad, W., "Eurozone crisis and BRIICKS stock markets : Contagion or market interdependence?", Economic Modelling, 33, pp.209~225 (2013)
  13. Andrieş, A. M., "Comovement of exchange rates : A wavelet analysis", Emerging Markets Finance and Trade, 52(3), pp.1~15 (2016)
  14. Boero, G., "Modelling the bivariate dependence structure of exchange rates before and after the introduction of the euro : a semi-parametric approach", International Journal of Finance and Economics, 16(4), pp.357~374 (2011)
  15. Bollerslev, T., "Modeling the Coherence in Short-Run Nominal Exchange Rates : A Multivariate Generalized ARCH Model", Review of Economics and Statistics, 72(3), pp.498~505 (1990)
  16. Canova, F., "Estimating overidentified, nonrecursive, time-varying coefficients structural vector autoregressions", Quantitative Economics, 6(2), pp.359~384 (2015)
  17. Carter, C. K., "On Gibbs Sampling for State Space Models", Biometrika, 81(3), pp.541~553 (1994)
  18. Darvas, Z., "Monetary transmission in three central European economies : evidence from time-varying coefficient vector autoregressions", Empirica, 40(2), pp.363~390 (2013)
  19. Time-Varying Structural Vector Autoregressions and Monetary Policy : A Corrigendum, "Del Negro, M.", Federal Reserve Bank, ~ (2013)
  20. Dickey, D. A., "Distribution of the Estimation for Autoregressive Time Series with a Unit Root", Journal of the American Statistical Association, 74, pp.427~431 (1979)
  21. Eickmeier, S., "Classical time varying factor augmented vector auto‐regressive models-estimation, forecasting and structural analysis", Journal of the Royal Statistical Society : Series A(Statistics in Society), 178(3), pp.493~533 (2015)
  22. Engle, R., "Dynamic Conditional Correlation : A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models", Journal of Business and Economic Statistics, 20(3), pp.339~350 (2002)
  23. Engle, R. F., "Meteor Showers or Heat Waves? Heteroskedastic Intra-Daily Volatility in the Foreign Exchange Market", Econometrica, 58(3), pp.525~542 (1990)
  24. Evermann, J., "Bayesian Structural Equation Models for Cumulative Theory Building in Information Systems-A Brief Tutorial Using BUGS and R", Communications of the Association for Information Systems, 34(1), pp.76~ (2014)
  25. Fruhwirth-Schnatter, S., "Data Augmentation and Dynamic Linear Models", Journal of Time Series Analysis, 15(2), pp.183~202 (1994)
  26. Trade Blocs and Currency Blocs, "Frankel, J. A.", NBER, ~, pp.NBER Working Paper, No. 4335 (1993)
  27. Gelman, A., "Not only defended but also applie : The perceived absurdity of Bayesian inference", The American Statistician, 67(1), pp.1~5 (2013)
  28. Gelman, A., "Rejoinder : The Anti-Bayesian Moment and Its Passing", The American Statistician, 67(1), pp.16~17 (2013)
  29. Estimating US fiscal and monetary interactions in a time varying VAR, "Gerba, E.", University of Kent, ~, pp.School of Economics discussion paper, KDPE 1303 (2013)
  30. Haldane, A. G., "Sterling’s relationship with the Dollar and the Deutschemark : 1976~1989", The Economic Journal, 101(406), pp.436~443 (1991)
  31. Hamilton, J. D., "Time Series Analysis" (1994), Princeton University Press
  32. The Country Chronologies and Background Material to Exchange Rate Arrangements into the 21st Century: Will the Anchor Currency Hold, "Ilzetzki, E.", ~ (2011)
  33. Johansen, S., "Statistical Analysis of Cointegration Vectors", Journal of Economic Dynamics and Control, 12(2-3), pp.231~254 (1988)
  34. Kim, C. J., "State-Space Models with Regime Switching: Classical and Gibbs Sampling Approaches with Applications" (1999), MIT Press
  35. Koop, G., "Impulse response analysis in nonlinear multivariate models", Journal of Econometrics, 74(1), pp.119~147 (1996)
  36. Lastrapes, W. D., "Estimating and Identifying Vector Autoregressions under Diagonality and Block Exogeneity Restrictions", Economics Letters, 87(1), pp.75~81 (2005)
  37. Lastrapes, W. D., "Inflation and the Distribution of Relative Prices : The Role of Productivity and Money Supply Shocks", Journal of Money, Credit, and Banking, 38(8), pp.2159~2198 (2006)
  38. Lee, K. Y., "Recent Changes in Linkages of Asian Currencies with the U. S. Dollar", Hitotsubashi Journal of Economics, 46(1), pp.1~27 (2005)
  39. Lindley, D. V., "Bayesian statistics : A review" (1972), Society for industrial and applied mathematics
  40. Little, R., "Calibrated Bayes, for statistics in general, and missing data in particular", Statistical Science, 26(2), pp.162~174 (2011)
  41. McMillan, D. G., "Return and volatility spillovers in three euro exchange rates", Journal of Economics and Business, 62(2), pp.79~93 (2010)
  42. Mumtaz, H., "Time-Varying Dynamics of The Real Exchange Rate : An Empirical Analysis", Journal of Applied Econometrics, 28(3), pp.498~525 (2013), John Wiley and Sons, Ltd.
  43. Time-varying parameter VAR model with stochastic volatility : An overview of methodology and empirical applications, "Nakajima, J.", Institute for Monetary and Economic Studies, ~ (2011)
  44. Nakajima, J., "Bayesian analysis of timevarying parameter vector autoregressive model for the Japanese economy and monetary policy", Journal of the Japanese and International Economies, 25(3), pp.225~245 (2011)
  45. Newey, W. K., "A Simple Positive Semi-Definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix", Econometrica, 55, pp.703~708 (1987)
  46. Nikkinen, J., "Cross-dynamics of Exchange Rate Expectations : a Wavelet Analysis", International Journal of Finance and Economics, 16(3), pp.205~217 (2011)
  47. Phillips, P. C. B., "Testing for a Unit Root in Time Series Regression", Biometrika, 75, pp.335~346 (1988)
  48. Primiceri, G. E., "Time Varying Structural Vector Autoregressions and Monetary Policy", Review of Economic Studies, 72(3), pp.821~852 (2005)
  49. Spiegelhalter, D. J., "Bayesian measures of model complexity and fit(with discussion)", Journal of the Royal Statistical Society, Series B, 64(4), pp.583~639 (2002)
  50. Tamakoshi, G., "Co-movements among major European exchange rates : A multivariate time-varying asymmetric approach", International Review of Economics and Finance, 31, pp.105~113 (2014)
  51. Tse, Y. K., "A multivariate generalised autoregressive conditional heteroscedasticity model with time-varying correlations", Journal of Business and Economic Statistics, 20(3), pp.351~362 (2002)
  52. Zellner, A., "An Introduction to Bayesian Inference in Econometrics" (1971), John- Wiley

관련 논문AI추천

이 간행물의 다른 논문 (3건)