The volatility connectedness between chicken and selected crops

References

• Alhotan, R. A. 2021. “Commercial Poultry Feed Formulation: Current Status, Challenges, and Future Expectations.” World’s Poultry Science Journal 77 (2): 279–299. https://doi.org/10.1080/00439339.2021.1891400.
   Web of Science ®Google Scholar
• Anscombe, F. J., and W. J. Glynn. 1983. “Distribution of the Kurtosis Statistic B 2 for Normal Samples.” Biometrika 70 (1): 227–234. https://doi.org/10.1093/biomet/70.1.227.
   Web of Science ®Google Scholar
• Antonakakis, N., I. Chatziantoniou, and D. Gabauer. 2020. “Refined Measures of Dynamic Connectedness Based on Time-Varying Parameter Vector Autoregressions.” Journal of Risk and Financial Management 13 (4): 84. https://doi.org/10.3390/jrfm13040084.
   Web of Science ®Google Scholar
• Antonakakis, N., D. Gabauer, R. Gupta, and V. Plakandaras. 2018. “Dynamic Connectedness of Uncertainty Across Developed Economies: A Time-Varying Approach.” Economics Letters 166:63–75. https://doi.org/10.1016/j.econlet.2018.02.011.
   Web of Science ®Google Scholar
• Arikan, M. S., M. B. Çevrimli, M. Polat, B. Mat, A. C. Akin, Z. Özel, and M. A. Tekindal. 2022. “Analyzing the Factors Affecting the Price of Broiler Chicken in Turkey Using the Boosting Regression Method.” Brazilian Journal of Poultry Science 24 (4): 1–6. https://doi.org/10.1590/1806-9061-2021-1618.
   Web of Science ®Google Scholar
• Baladina, N., A. N. Sugiharto, R. Anindita, and F. Laili. 2021. “Price Volatility of Maize and Animal Protein Commodities in Indonesia During the COVID-19 Season.” IOP Conference Series: Earth and Environmental Science 803 (1): 1–6. https://doi.org/10.1088/1755-1315/803/1/012060.
   Google Scholar
• Balanay, R. M. 2013. “Spillover Effects of Price Volatility in the Egg and Meat Markets in the Philippines.” International Journal of Development and Sustainability 2 (3): 1953–1969.
   Google Scholar
• Ben Abdallah, M., M. Fekete Farkas, and Z. Lakner. 2020. “Analysis of Meat Price Volatility and Volatility Spillovers in Finland.” Agricultural Economics 66 (2): 84–91. https://doi.org/10.17221/158/2019-AGRICECON.
   Web of Science ®Google Scholar
• Beykzadeh, S., M. Ghahremanzadeh, and A. Mohmoodi. 2021. “The Evaluation of Price Volatility of Beef and Chicken and Livestock’s Major Inputs in Iran.” Journal of Animal Science Research 30 (3): 85–103.
   Google Scholar
• Bollerslev, T. 1986. “Generalized Autoregressive Conditional Heteroskedasticity.” Journal of Econometrics 31 (3): 307–327. https://doi.org/10.1016/0304-4076(86)90063-1.
   Web of Science ®Google Scholar
• Chatziantoniou, I., C. Floros, and D. Gabauer. 2022. “Volatility Contagion Between Crude Oil and G7 Stock Markets in the Light of Trade Wars and COVID-19: A TVP-VAR Extended Joint Connectedness Approach.” In Applications in Energy Finance, edited by C. Floros and I. Chatziantoniou. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-92957-2_6.
   Google Scholar
• Çınar, G., and B. Keskin. 2018. “The Spillover Effect of Imported Inputs on Broiler Prices in Turkey.” New Medit 1 (1): 37–47. https://doi.org/10.30682/nm1801d.
   Google Scholar
• D’Agostino, R. B. 1970. “Transformation to Normality of the Null Distribution of G1.” Biometrika 57 (3): 679–681. https://doi.org/10.1093/biomet/57.3.679.
   Web of Science ®Google Scholar
• Diebold, F. X., and K. Yilmaz. 2009. “Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets.” The Economic Journal 119 (534): 158–171. https://doi.org/10.1111/j.1468-0297.2008.02208.x.
   Web of Science ®Google Scholar
• Diebold, F. X., and K. Yilmaz. 2012. “Better to Give Than to Receive: Predictive Directional Measurement of Volatility Spillovers.” International Journal of Forecasting 28 (1): 57–66. https://doi.org/10.1016/j.ijforecast.2011.02.006.
   Web of Science ®Google Scholar
• Diebold, F. X., and K. Yilmaz. 2014. “On the Network Topology of Variance Decompositions: Measuring the Connectedness of Financial Firms.” Journal of Econometrics 182 (1): 119–134. https://doi.org/10.1016/j.jeconom.2014.04.012.
   Web of Science ®Google Scholar
• Drost, F. C., and T. E. Nijman. 1993. “Temporal Aggregation of Garch Processes.” Econometrica 61 (4): 909. https://doi.org/10.2307/2951767.
   Web of Science ®Google Scholar
• Elliott, G., T. J. Rothenberg, and J. H. Stock. 1996. “Efficient Tests for an Autoregressive Unit Root.” Econometrica 64 (4): 813–836. https://doi.org/10.2307/2171846.
   Web of Science ®Google Scholar
• Erdem, C., İ. Şentürk, O. Karkacıer, and T. Şimşek. 2011. “An Examination of Price Behavior in Turkish Broiler Markets.” The Empirical Economics Letters 10 (6): 575–582.
   Google Scholar
• Fakari, B., M. M. F. Aliabadi, H. Mahmoudi, and M. Kojori. 2016. “Volatility Spillover and Price Shocks in Iran’s Meat Market.” Custos E agronegócio 12 (2): 84–98.
   Web of Science ®Google Scholar
• Fisher, T. J., and C. M. Gallagher. 2012. “New Weighted Portmanteau Statistics for Time Series Goodness of Fit Testing.” Journal of the American Statistical Association 107 (498): 777–787. https://doi.org/10.1080/01621459.2012.688465.
   Web of Science ®Google Scholar
• Gabauer, D. 2021. “Dynamic Measures of Asymmetric & Pairwise Connectedness within an Optimal Currency Area: Evidence from the ERM I System.” Journal of Multinational Financial Management 60:100680. https://doi.org/10.1016/j.mulfin.2021.100680.
   Web of Science ®Google Scholar
• Gabauer, D. 2022. “Package ‘Connectedness Approach’.” R Package Version 1.0.0. https://CRAN.R-project.org/package=ConnectednessApproach.
   Google Scholar
• Gale, F., and C. Arnade. 2015. “Effects of Rising Feed and Labor Costs on China’s Chicken Price.” International Food and Agribusiness Management Review 18 (1030–2016–83088): 137–150.
   Google Scholar
• Hussein, A. 2017. “U.S. Broiler, Turkey and Total Poultry Supply Response to Corn Feed Prices.” In Annual Meeting of Southern Agricultural Economics Association, Mobile, Alabama, February 4-7.
   Google Scholar
• Hwang, S., and P. L. Valls Pereira. 2006. “Small Sample Properties of GARCH Estimates and Persistence.” European Journal of Finance 12 (6–7): 473–494. https://doi.org/10.1080/13518470500039436.
   Google Scholar
• Jarque, C. M., and A. K. Bera. 1980. “Efficient Tests for Normality, Homoscedasticity and Serial Independence of Regression Residuals.” Economics Letters 6 (3): 255–259. https://doi.org/10.1016/0165-1765(80)90024-5.
   Web of Science ®Google Scholar
• Koop, G., and D. Korobilis. 2014. “A New Index of Financial Conditions.” European Economic Review 71:101–116. https://doi.org/10.1016/j.euroecorev.2014.07.002.
   Web of Science ®Google Scholar
• Luo, W. C., and R. Liu. 2011. “Analysis of Meat Price Volatility in China.” China Agricultural Economic Review 3 (3): 402–411. https://doi.org/10.1108/17561371111165815.
   Web of Science ®Google Scholar
• Nelson, D. B. 1991. “Conditional Heteroskedasticity in Asset Returns: A New Approach.” Econometrica 59 (2): 347–370. https://doi.org/10.2307/2938260.
   Web of Science ®Google Scholar
• Pesaran, H. H., and Y. Shin. 1998. “Generalized Impulse Response Analysis in Linear Multivariate Models.” Economics Letters 58 (1): 17–29. https://doi.org/10.1016/S0165-1765(97)00214-0.
   Web of Science ®Google Scholar
• Poon, S. H. 2005. A Practical Guide for Forecasting Financial Market Volatility. Chichester, West Sussex, England: John Wiley & Sons.
   Google Scholar
• Rezitis, A. N., and K. S. Stavropoulos. 2009. “Greek Meat Supply Response and Price Volatility in a Rational Expectations Framework: A Multivariate GARCH Approach.” In 113th EAAE Seminar “A Resilient European Food Industry and Food Chain in a Challenging World”, Chania, Crete, Greece, September 3–6.
   Google Scholar
• Subagja, H., and D. Nikmah. 2020. “Analysis of Influencing Factors and Volatility of Broiler Meat Prices in Pasuruan Regency.” East Java Province Buletin Peternakan 44 (4): 240–244. https://doi.org/10.21059/buletinpeternak.v44i4.34379.
   Google Scholar
• Syafwan, S., R. P. Kwakkel, and M. W. A. Verstegen. 2011. “Heat Stress and Feding Strategies in Meat-Type Chickens.” World’s Poultry Science Journal 67 (4): 653–674. https://doi.org/10.1017/S0043933911000742.
   Web of Science ®Google Scholar
• Uchezuba, I. D., A. Jooste, and J. Willemse. 2010. “Measuring Asymmetric Price and Volatility Spillover in the South African Broiler Market.” In African Association of Agricultural Economists (AAAE) Third Conference/AEASA 48th Conference, Cape Town, South Africa, September 19-23.
   Google Scholar
• Willems, O. W., S. P. Miller, and B. J. Wood. 2013. “Aspects of Selection for Feed Efficiency in Meat Producing Poultry.” World’s Poultry Science Journal 69 (1): 77–88. https://doi.org/10.1017/S004393391300007X.
   Web of Science ®Google Scholar
• World Bank. 2022. “Commodity Markets: Evolution, Challenges, and Policies.” In Advance Edition, edited by Baffes, J., and P. Nagle. Washington: World Bank Publications.
   Google Scholar
• You, P. S., and Y. C. Hsieh. 2018. “A Study of Production and Harvesting Planning for the Chicken Industry.” Agricultural Economics (Zemědělská Ekonomika) 64 (7): 316–327. https://doi.org/10.17221/255/2016-AGRICECON.
   Web of Science ®Google Scholar
• Zampigaa, M., F. Calinib, and F. Sirri. 2021. “Importance of Feed Efficiency for Sustainable Intensification of Chicken Meat Production: Implications and Role for Amino Acids, Feed Enzymes and Organic Trace Minerals.” World’s Poultry Science Journal 77 (3): 639–659. https://doi.org/10.1080/00439339.2021.1959277.
   Web of Science ®Google Scholar