Study on spillover effect between international soybean market and China's domestic soybean market
Author
Abstract
Suggested Citation
DOI: 10.1016/j.espe.2017.11.003
Download full text from publisher
References listed on IDEAS
- Bollerslev, Tim & Engle, Robert F & Wooldridge, Jeffrey M, 1988. "A Capital Asset Pricing Model with Time-Varying Covariances," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 116-131, February.
- Kroner, Kenneth F & Ng, Victor K, 1998. "Modeling Asymmetric Comovements of Asset Returns," Review of Financial Studies, Society for Financial Studies, vol. 11(4), pages 817-844.
- Y.K. Tse & Albert K.C. Tsui, 2000.
"A Multivariate GARCH Model with Time-Varying Correlations,"
Econometrics
0004007, University Library of Munich, Germany.
- Y. K. Tse & Albert K. C. Tsui, 2000. "A Multivariate GARCH Model with Time-Varying correlations," Econometrics 0004010, University Library of Munich, Germany.
- Yiu Kuen Tse & Albert K. C. Tsui, 2000. "A Multivariate GARCH Model with Time-Varying Correlations," Econometric Society World Congress 2000 Contributed Papers 0250, Econometric Society.
- Chang, Chia-Lin & González-Serrano, Lydia & Jimenez-Martin, Juan-Angel, 2013.
"Currency hedging strategies using dynamic multivariate GARCH,"
Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 164-182.
- Chia-Lin Chang & Lydia González-Serrano & Juan-Ángel Jiménez-Martín, 2011. "Currency Hedging Strategies Using Dynamic Multivariate GARCH," Documentos de Trabajo del ICAE 2011-33, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Chia-Lin Chang & Lydia González-Serrano & Juan-Ángel Jiménez-Martín, 2012. "Currency Hedging Strategies Using Dynamic Multivariate GARCH," Documentos de Trabajo del ICAE 2012-07, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico, revised Feb 2012.
- Bollerslev, Tim, 1986.
"Generalized autoregressive conditional heteroskedasticity,"
Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
- Tim Bollerslev, 1986. "Generalized autoregressive conditional heteroskedasticity," EERI Research Paper Series EERI RP 1986/01, Economics and Econometrics Research Institute (EERI), Brussels.
- Zhang, Chuanguo & Qu, Xuqin, 2015. "The effect of global oil price shocks on China's agricultural commodities," Energy Economics, Elsevier, vol. 51(C), pages 354-364.
- Bollerslev, Tim, 1990. "Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 498-505, August.
- Beckmann, Joscha & Czudaj, Robert, 2014. "Volatility transmission in agricultural futures markets," Economic Modelling, Elsevier, vol. 36(C), pages 541-546.
- Teterin, Pavel & Brooks, Robert & Enders, Walter, 2016. "Smooth volatility shifts and spillovers in U.S. crude oil and corn futures markets," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 22-36.
- Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Kun Ma & Gang Diao, 2017. "Study on spillover effect between international soybean market and China's domestic soybean market," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 35(84), pages 260-266, December.
- Kun Ma & Gang Diao, 2017. "Study on spillover effect between international soybean market and China's domestic soybean market," Revista ESPE - Ensayos Sobre PolÃtica Económica, Banco de la República - ESPE, vol. 35(84), pages 260-266, December.
- M. Hashem Pesaran & Paolo Zaffaroni, 2004.
"Model Averaging and Value-at-Risk Based Evaluation of Large Multi Asset Volatility Models for Risk Management,"
CESifo Working Paper Series
1358, CESifo.
- Pesaran, M Hashem & Zaffaroni, Paolo, 2005. "Model Averaging and Value-at-Risk Based Evaluation of Large Multi-Asset Volatility Models for Risk Management," CEPR Discussion Papers 5279, C.E.P.R. Discussion Papers.
- M. Hashem Pesaran & Paolo Zaffaroni, 2004. "Model Averaging and Value-at-Risk based Evaluation of Large Multi Asset Volatility Models for Risk Management," IEPR Working Papers 04.3, Institute of Economic Policy Research (IEPR).
- Hashem Pesaran & Paolo Zaffaroni & Banca d'Italia), 2004. "Model Averaging and Value-at-Risk based Evaluation of Large Multi Asset Volatility Models for Risk Management," Money Macro and Finance (MMF) Research Group Conference 2004 101, Money Macro and Finance Research Group.
- Chia-Lin Chang & Chia-Ping Liu & Michael McAleer, 2016.
"Volatility Spillovers for Spot, Futures, and ETF Prices in Energy and Agriculture,"
Tinbergen Institute Discussion Papers
16-046/III, Tinbergen Institute.
- Chia-Lin Chang & Michael McAleer & Chia-Ping Liu, 2016. "Volatility spillovers for spot, futures, and ETF prices in energy and agriculture," Documentos de Trabajo del ICAE 2016-11, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Chang, C-L. & Liu, C-P. & McAleer, M.J., 2016. "Volatility Spillovers for Spot, Futures, and ETF Prices in Energy and Agriculture," Econometric Institute Research Papers EI2016-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Morema, Kgotso & Bonga-Bonga, Lumengo, 2018. "The impact of oil and gold price fluctuations on the South African equity market: volatility spillovers and implications for portfolio management," MPRA Paper 87637, University Library of Munich, Germany.
- Maghyereh, Aktham I. & Awartani, Basel & Tziogkidis, Panagiotis, 2017. "Volatility spillovers and cross-hedging between gold, oil and equities: Evidence from the Gulf Cooperation Council countries," Energy Economics, Elsevier, vol. 68(C), pages 440-453.
- de Oliveira, Felipe A. & Maia, Sinézio F. & de Jesus, Diego P. & Besarria, Cássio da N., 2018. "Which information matters to market risk spreading in Brazil? Volatility transmission modelling using MGARCH-BEKK, DCC, t-Copulas," The North American Journal of Economics and Finance, Elsevier, vol. 45(C), pages 83-100.
- Jiang, Yonghong & Jiang, Cheng & Nie, He & Mo, Bin, 2019. "The time-varying linkages between global oil market and China's commodity sectors: Evidence from DCC-GJR-GARCH analyses," Energy, Elsevier, vol. 166(C), pages 577-586.
- Abdul Hakim & Michael McAleer, 2010.
"Modelling the interactions across international stock, bond and foreign exchange markets,"
Applied Economics, Taylor & Francis Journals, vol. 42(7), pages 825-850.
- Abdul Hakim & Michael McAleer, 2009. "Modelling the Interactions Across International Stock, Bond and Foreign Exchange Markets," CIRJE F-Series CIRJE-F-663, CIRJE, Faculty of Economics, University of Tokyo.
- Abdul Hakim & Michael McAleer, 2009. "Modelling the Interactions Across International Stock, Bond and Foreign Exchange Markets," CARF F-Series CARF-F-170, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Chrétien, Stéphane & Ortega, Juan-Pablo, 2014. "Multivariate GARCH estimation via a Bregman-proximal trust-region method," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 210-236.
- David Gabauer, 2020. "Volatility impulse response analysis for DCC‐GARCH models: The role of volatility transmission mechanisms," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(5), pages 788-796, August.
- Bollerslev, Tim & Patton, Andrew J. & Quaedvlieg, Rogier, 2020. "Multivariate leverage effects and realized semicovariance GARCH models," Journal of Econometrics, Elsevier, vol. 217(2), pages 411-430.
- Hasanov, Akram Shavkatovich & Do, Hung Xuan & Shaiban, Mohammed Sharaf, 2016. "Fossil fuel price uncertainty and feedstock edible oil prices: Evidence from MGARCH-M and VIRF analysis," Energy Economics, Elsevier, vol. 57(C), pages 16-27.
- Berens, Tobias & Weiß, Gregor N.F. & Wied, Dominik, 2015. "Testing for structural breaks in correlations: Does it improve Value-at-Risk forecasting?," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 135-152.
- Chia-Lin Chang & Yiying Li & Michael McAleer, 2018.
"Volatility Spillovers between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice,"
Energies, MDPI, Open Access Journal, vol. 11(6), pages 1-19, June.
- Chia-Lin Chang & Yiying Li & Michael McAleer, 2015. "Volatility Spillovers Between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice," Documentos de Trabajo del ICAE 2015-08, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Chia-Lin Chang & Yiying Li & Michael McAleer, 2015. "Volatility Spillovers between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice," Tinbergen Institute Discussion Papers 15-077/III, Tinbergen Institute.
- Chang, C-L. & Li, Y. & McAleer, M.J., 2015. "Volatility Spillovers Between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice," Econometric Institute Research Papers EI2015-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Mauro Bernardi & Leopoldo Catania, 2015. "Switching-GAS Copula Models With Application to Systemic Risk," Papers 1504.03733, arXiv.org, revised Jan 2016.
- Chia-Lin Chang & Michael McAleer & Jiarong Tian, 2019.
"Modeling and Testing Volatility Spillovers in Oil and Financial Markets for the USA, the UK, and China,"
Energies, MDPI, Open Access Journal, vol. 12(8), pages 1-24, April.
- Chia-Lin Chang & Michael McAleer & Jiarong Tian, 2016. "Modelling and Testing Volatility Spillovers in Oil and Financial Markets for USA, UK and China," Tinbergen Institute Discussion Papers 16-053/III, Tinbergen Institute.
- Chang, C-L. & McAleer, M.J. & Tian, J., 2016. "Modelling and Testing Volatility Spillovers in Oil and Financial Markets for USA, UK and China," Econometric Institute Research Papers EI2016-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Chia-Lin Chang & Michael McAleer & Jiarong Tian, 2016. "Modelling and testing volatility spillovers in oil and financial markets for USA, UK and China," Documentos de Trabajo del ICAE 2016-09, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Manabu Asai & Michael McAleer, 2009.
"Dynamic Conditional Correlations for Asymmetric Processes,"
CARF F-Series
CARF-F-168, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Manabu Asai & Michael McAleer, 2009. "Dynamic Conditional Correlations for Asymmetric Processes," CIRJE F-Series CIRJE-F-657, CIRJE, Faculty of Economics, University of Tokyo.
- Manabu Asai & Michael McAleer, 2011. "Dynamic Conditional Correlations for Asymmetric Processes," Documentos de Trabajo del ICAE 2011-30, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Manabu Asai & Michael McAleer, 2010. "Dynamic Conditional Correlations for Asymmetric Processes," Working Papers in Economics 10/76, University of Canterbury, Department of Economics and Finance.
- Manabu Asai & Michael McAleer, 2010. "Dynamic Conditional Correlations for Asymmetric Processes," KIER Working Papers 747, Kyoto University, Institute of Economic Research.
- Asai, M. & McAleer, M.J., 2010. "Dynamic Conditional Correlations for Asymmetric Processes," Econometric Institute Research Papers EI 2010-76, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Massimiliano Caporin & Michael McAleer, 2011.
"Thresholds, news impact surfaces and dynamic asymmetric multivariate GARCH,"
Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 65(2), pages 125-163, May.
- Massimiliano Caporin & Michael McAleer, 2008. "Thresholds, News Impact Surfaces and Dynamic Asymmetric Multivariate GARCH," "Marco Fanno" Working Papers 0064, Dipartimento di Scienze Economiche "Marco Fanno".
- Caporin, M. & McAleer, M.J., 2010. "Threshold, news impact surfaces and dynamic asymmetric multivariate GARCH," Econometric Institute Research Papers EI 2010-36, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Michael McAleer & Massimiliano Caporin, 2010. "Thresholds, News Impact Surfaces and Dynamic Asymmetric Multivariate GARCH," Working Papers in Economics 10/32, University of Canterbury, Department of Economics and Finance.
- Massimiliano Caporin & Michael McAleer, 2010. "Thresholds, News Impact Surfaces and Dynamic Asymmetric Multivariate GARCH," CIRJE F-Series CIRJE-F-740, CIRJE, Faculty of Economics, University of Tokyo.
- Massimiliano Caporin & Michael McAleer, 2009. "Thresholds, News Impact Surfaces and Dynamic Asymmetric Multivariate GARCH," Documentos de Trabajo del ICAE 2009-11, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Massimiliano Caporin & Michael McAleer, 2010. "Thresholds, News Impact Surfaces and Dynamic Asymmetric Multivariate GARCH," KIER Working Papers 741, Kyoto University, Institute of Economic Research.
- Massimiliano Caporin & Michael McAleer, 2010. "Thresholds, News Impact Surfaces and Dynamic Asymmetric Multivariate GARCH," CARF F-Series CARF-F-217, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Massimiliano Caporin & Michael McAleer, 2010. "Thresholds, News Impact Surfaces and Dynamic Asymmetric Multivariate GARCH," Working Papers in Economics 10/73, University of Canterbury, Department of Economics and Finance.
- E. Ramos-P'erez & P. J. Alonso-Gonz'alez & J. J. N'u~nez-Vel'azquez, 2020. "Forecasting volatility with a stacked model based on a hybridized Artificial Neural Network," Papers 2006.16383, arXiv.org, revised Aug 2020.
More about this item
Keywords
Soybean price volatility; Multivariate GARCH model; Clustering effect; Spillover effect;All these keywords.
JEL classification:
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
- F16 - International Economics - - Trade - - - Trade and Labor Market Interactions
- Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:col:000107:016034. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Espe). General contact details of provider: .
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.