신선 물오징어 소매가격 변동성의 구조변화와 비대칭성 검증
Tests for Asymmetry and Structure Changes in Retail Price Volatility of Fresh Common Squid in the Republic of Korea
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초록
This study analyzed structural changes and asymmetry of price volatility during the period before and after a point of structural change in price volatility, using the Korean fresh common squid daily retail price data from January 1, 2004 to September 30, 2015. This study utilized the following analytical methods: the unit-root test was applied to ensure the stability of the data, the Quandt-Andrews breakpoint test was applied to find the point of structural change, and the Glosten-Jagannathan-Runkle GARCH and EGARCH models were applied to investigate the asymmetry of price volatility. The empirical results of this study are as follows. First, ADF, PP, KPSS and Zivot-Andrews tests showed that the daily retail price change rate of the Korean fresh common squid differentiated by logarithm was stable. Secondly, the ARIMA (2,1,2) model was selected by information criteria such as AIC, SC, and HQ. Thirdly, the Quandt-Andrews breakpoint test found that a single structural change in price volatility occurred on June 11, 2009. Fourthly, the Glosten-Jagannathan-Runkle GARCH and EGARCH models showed that estimates of coefficients within the models were statistically significant before and after structural change and also that asymmetry as a leverage effect existed before and after structural change.
Abstract
This study analyzed structural changes and asymmetry of price volatility during the period before and after a point of structural change in price volatility, using the Korean fresh common squid daily retail price data from January 1, 2004 to September 30, 2015. This study utilized the following analytical methods: the unit-root test was applied to ensure the stability of the data, the Quandt-Andrews breakpoint test was applied to find the point of structural change, and the Glosten-Jagannathan-Runkle GARCH and EGARCH models were applied to investigate the asymmetry of price volatility. The empirical results of this study are as follows. First, ADF, PP, KPSS and Zivot-Andrews tests showed that the daily retail price change rate of the Korean fresh common squid differentiated by logarithm was stable. Secondly, the ARIMA (2,1,2) model was selected by information criteria such as AIC, SC, and HQ. Thirdly, the Quandt-Andrews breakpoint test found that a single structural change in price volatility occurred on June 11, 2009. Fourthly, the Glosten-Jagannathan-Runkle GARCH and EGARCH models showed that estimates of coefficients within the models were statistically significant before and after structural change and also that asymmetry as a leverage effect existed before and after structural change.
참고문헌 (27)
- 강석규, "양식 넙치가격 변동성의 구조변화와 비대칭성 검증", 수산경영론집, 45(2), pp.29~38 (2014), 한국수산경영학회[DOI]
- 고봉현, "GARCH 모형을 이용한 수산물의 가격변동성에 관한 연구", 해양정책연구, 22(2), pp.29~54 (2007), 한국해양수산개발원
- 고봉현, "수산물 시장에서의 양식어류 가격변동성·계절성·요일효과에 관한 연구 －노량진수산시장의 넙치와 조피볼락을 중심으로－", 수산경영론집, 40(2), pp.49~70 (2009), 한국수산경영학회
- 고봉현, "수산물 거래량의 변동성이 가격변동성에 미치는 영향분석", 한국산학기술학회논문지, 15(10), pp.6084~6091 (2014), 한국산학기술학회[DOI]
- "소비자 물가지수" (2015)[URL]
- "농수산물 유통정보" (2015)[URL]
- Andrews DW, "Tests for parameter instability and structural change with unknown change point", Econometrica, 61(4), pp.821~856 (1993)
- Andrews DW, "Optimal tests when a nuisance parameter is present only under the alternative", Econometrica, 62(6), pp.1383~1414 (1994)
- Bai J, "Estimating and testing linear models with multiple structural changes", Econometrica, 66(1), pp.47~78 (1998)
- Bollerslev T, "Generalized autoregressive conditional heteroskedasticity", J Econometrics, 31(3), pp.307~327 (1986)
- Box GE, "Time series analysis: forecasting and control", pp.575~ (1976), Holden-Day
- Chow GC, "Tests of equality between sets of coefficients in two linear regressions", Econometrica, 28(3), pp.591~605 (1960)
- Dickey DA, "Distribution of the estimators for autoregressive time series with a unit root", J Am Stat Assoc, 74, pp.427~431 (1979)
- Engle RF, "Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation", Econometrica, 50(4), pp.987~1007 (1982)
- Glosten LR, "On the relation between the expected value and the volatility of the nominal excess return on stocks", J Fina, 48(5), pp.1779~1801 (1993)
- Hansen BE, "Approximate asymptotic p values for structuras-change tests", J Bus Econ Stat, 15(1), pp.60~67 (1997)
- Jarque CM, "Efficient tests for normality, homoscedasticity and serial independence of regression residuals", Econ Lett, 6(3), pp.255~259 (1980)
- Kwiatkowski D, "Testing the null hypothesis of stationarity against the alternative of a unit root", J Econometrics, 54, pp.159~178 (1992)
- Ljung GM, "On a measure of lack of fit in time series models", Biometrika, 65(2), pp.297~303 (1978)
- Nelson CR, "Trends and random walks in macroeconmic time series: some evidence and implications", J Mone Eco, 10(2), pp.139~162 (1982)
- Nelson DB, "Conditional heteroskedasticity in asset returns: a new approach", Econometrica, 59(2), pp.347~370 (1991)
- Perron P, "The great crash, the oil price shock, and the unit root hypothesis", Econometrica, 57(6), pp.1361~1401 (1989)
- Phillips PCB, "Testing for a unit root in time series regression", Biometrika, 75(2), pp.335~346 (1988)
- Quandt RE, "Tests of the hypothesis that a linear regression system obeys two separate regimes", J Am Stat Assoc, 55(290), pp.324~330 (1960)
- Schwert W, "EViews user's guide 2", IHS Global Inc, 990~ (2013)
- White HA, "Heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity", Econometrica, 48(4), pp.817~838 (1980)
- Zivot E, "Further evidence on the great crash, the oil-price shock, and the unit-root", J Bus Eco Stat, 10(3), pp.251~270 (1992)