가격변수 불확실성과 경기변동간의 관계
The Relationship between Uncertainty of Price Variables and Economic Fluctuations
0
조회
0
다운로드
6
인용
0
참고문헌
키워드
초록
본 논문에서는 물가, 금리 혹은 환율과 같은 가격변수의 변동성이 증가하였을 때 국내 경기에 어떤 영향을 주고받았는지 상호효과(feedback effect)를 분석했다. 상호효과에 대한 실증분석의 결과, 경제성장률의 불확실성이 증가할 경우 인플레이션이 높아지는 현상을 확인하였다. 또한 고빈도 자료(high frequency data)간의 확산효과(spillover)를 분석한 Diebold and Yilmaz(2009) 모형을 저빈도 자료(low frequency data)인 거시경제변수에 적용할 수 있도록 보완한 모형을 이용하여 확산효과를 분석하였다. 이를 통해 거시경제변수의 변동성을 살펴본 결과 2001년 이후 동 변수들의 변동성 확산효과가 지속적인 상승세를 보이며 2008년 하반기 국제금융위기가 표출되는 시기에 정점에 이른 후 빠른 속도로 줄어드는 것으로 파악되었다.
Abstract
This paper explains the feedback effect between the volatility of price variables, such as inflation rate, the interest rate, and foreign exchange rate, and the domestic economic fluctuation of Korea. For example, we show that when the uncertainty of economic gross rate increases, the level of inflation increases as a result. Additionally, we adapted a new method of spillover index calculation which was originally developed by Diebold and Yilmaz (2009) to apply the volatility of price variables to Korea. The advantage of using our method is that we are able to apply low frequency macroeconomic data, in contrast with Diebold and Yilmaz' method, which is only applicable to high frequency data. From our method, we show that the volatility spillover sharply increases from 2001 to 2008, and right after the financial crisis, the volatility spillover is shown to decrease.
참고문헌 (36)
- 유복근, "국내외 금융시장의 연계성 변화 분석 : 외환위기와 글로벌 금융위기 기간을 중심으로", 국제경제연구, 16(1), pp.161~191 (2010), 한국국제경제학회
- 유시용, "DCC-MGARCH모형을 이용한 우리나라 금융시장의 동태적 조건부 상관관계 분석", 경제연구, 22(4), pp.103~145 (2004), 한국경제통상학회
- Ang. A, "International Asset Allocation with Regime Shifts", Review of Financial Studies, 15, pp.1137~1187 (2002)
- Ball, L, "Why does high inflation raise inflation uncertainty?", Journal of Monetary Economics, 29, pp.371~388 (1992)
- Bauwens, L, "Multivariate GARCH models: A survey", Journal of Applied Econometrics, 21, pp.79~109 (2006)
- Bernanke, B, "Agency costs, net worth, and business fluctuations", American Economic Review, 79, pp.14~31 (1989)
- Bernanke, B, "Measuring monetary policy", The Quarterly Journal of Economics, 113, pp.869~902 (1998)
- Black, F, "Business cycle and Equilibrium" (1987), Basil Blackwell
- Blackburn, K, "On the relationship between growth and volatility", Economic Letters, 83, pp.123~127 (2004)
- Blackburn, K, "Growth, cycles, and stabilization policy", Oxford Economic Papers, 57, pp.262~282 (2005)
- Bleaney, M, "Central bank independence, wage-bargaining structure, and macroeconomic performance in OECD countries", Oxford Economic Papers, 48, pp.20~38 (1996)
- Bollerslev, T, "Modeling the coherence in short-run nominal exchange Rate: a multivariate generalized ARCH approach", Review of Economics and Statistics, 72, pp.498~505 (1990)
- Choi, K, "Measuring volatility spillovers" (2010), mimeo
- Cukierman, A, "Central bank strategy, credibility, and independence" (1992), MIT Press
- Cukierman, A, "A theory of ambiguity, credibility, and inflation under discretion and asymmetric information", Econometrica, 54, pp.1099~1128 (1986)
- den Haan, W.J, "Volatility clustering in real interest rates theory and evidence", Journal of Monetary Economic, 41, pp.431~444 (1998)
- Diebold, F.X, "Measuring financial asset return and volatility spillovers, with application to global equity markets", Economic Journal, 119, pp.158~171 (2009)
- Devereux, M, "A positve theory of inflation and inflation variance", Economic Inquiry, 27, pp.105~116 (1989)
- Elder, J, "Another perspective on the effects of inflation uncertainty", Journal of money credit and banking, 36, pp.911~928 (2004)
- Engle, R, "Dynamic conditional correlation: a new class of multivariate generalized autoregressive conditional heteroskedasticity models", Journal of Business and Statistics, 20, pp.339~350 (2002)
- Fountas, S, "Inflation and output growth uncertainty and their relationship with inflation and output growth", Economics Letters, 75, pp.293~301 (2002)
- Friedman, M, "Nobel lecture: inflation and unemployment", Journal of Political Economy, 85, pp.451~472 (1977)
- Gertler, M, "Monetary policy business cycle and the behavior of small manufacturing firm", Quarterly Journal of Economics, 109, pp.309~340 (1994)
- Nominal exchange rate patterns: correlations with entry, exit and investment in U.S. industry, "Goldberg, L", ~, pp.NBER working paper, #3249 (1990)
- Grier, K, "The effects of real and nominal uncertainty on inflation and output growth: some GARCH-M evidence", Journal of Applied Econometrics, 15, pp.45~58 (2000)
- Grier, K, "The asymmetric effects of uncertainty on inflation and output growth", Journal of Applied Econometrics, 19, pp.551~565 (2004)
- Hausmann, R, "The roots of banking crises: the macroeconomic context. in: Banking Crises in Latin America" (1996), Johns Hopkins University press
- He, C, "An extended constant conditional correlation GARCH model and its fourth- moment structure", Econometric Theory, 20, pp.904~926 (2004)
- Holland, S, "Inflation and uncertainty: tests for temporal ordering", Journal of money credit and banking, 27, pp.827~837 (1995)
- Jeantheau, T, "Strong consistency of estimators for multivariate ARCH models", Econometric Theory, 14, pp.70~86 (1998)
- Lee, J, "The Comovement between output and prices: evidence from a dynamic conditional correlation GARCH Model", Economics Letters, 91, pp.110~116 (2006)
- Nakatani, T, "Appendix to testing for volatility interactions in the constant conditional correlation GARCH model" (2009), Department of Economic Statistics, Stockholm School of Economics
- Nakatani, T, "Testing for volatility interactions in the constant conditional correlation GARCH model", Econometrics Journal, 12, pp.147~163 (2009)
- Pagan, A, "Econometric issues in the analysis of regressions with generated regressors", International Economic Reviews, 25, pp.221~247 (1984)
- Silvennoinen, A, "Multivariate GARCH models. in: Handbook of Financial Time Series" (2008)
- Tse, Y.K, "A Multivariate generalized autoregressive conditional heteroskedasticity model with time-varying correlations", Journal of Business and Economic Statistics, 20, pp.351~362 (2002)
