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Time-varying effects of international copper price shocks on China's producer price index

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  • Wen, Fenghua
  • Zhao, Cong
  • Hu, Chunyan

Abstract

As China becomes the largest international copper importer, we hypothesize that international copper price shocks affect China's producer price index (PPI). To test the hypothesis, we rely on a time-varying parameter structural vector autoregression with stochastic volatility (TVP-SVAR-SV) model to analyze the impact of the copper price shock, which is categorized into copper supply shock, aggregate demand shock and copper-specific demand shock. Our results indicate that the impact of international copper price shocks on China's PPI is time-varying. Copper price shocks significantly affect China's PPI over the short and medium terms and the aggregate demand shock displays the most. Also, copper price shocks show greater impact on the production materials PPI than on the living materials PPI.

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  • Wen, Fenghua & Zhao, Cong & Hu, Chunyan, 2019. "Time-varying effects of international copper price shocks on China's producer price index," Resources Policy, Elsevier, vol. 62(C), pages 507-514.
    • Handle: RePEc:eee:jrpoli:v:62:y:2019:i:c:p:507-514
    DOI: 10.1016/j.resourpol.2018.10.006
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    as
    1. Gong, Xu & Lin, Boqiang, 2018. "The incremental information content of investor fear gauge for volatility forecasting in the crude oil futures market," Energy Economics, Elsevier, vol. 74(C), pages 370-386.
    2. Cross, Jamie & Nguyen, Bao H., 2017. "The relationship between global oil price shocks and China's output: A time-varying analysis," Energy Economics, Elsevier, vol. 62(C), pages 79-91.
    3. Cevik, Serhan & Saadi Sedik, Tahsin, 2014. "A Barrel of Oil or a Bottle of Wine: How Do Global Growth Dynamics Affect Commodity Prices?," Journal of Wine Economics, Cambridge University Press, vol. 9(1), pages 34-50, May.
    4. Gao, Liping & Kim, Hyeongwoo & Saba, Richard, 2014. "How do oil price shocks affect consumer prices?," Energy Economics, Elsevier, vol. 45(C), pages 313-323.
    5. Wen, Fenghua & Gong, Xu & Cai, Shenghua, 2016. "Forecasting the volatility of crude oil futures using HAR-type models with structural breaks," Energy Economics, Elsevier, vol. 59(C), pages 400-413.
    6. Lucas Fievet & Didier Sornette, 2018. "Calibrating emergent phenomena in stock markets with agent based models," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-17, March.
    7. Hooker, Mark A, 2002. "Are Oil Shocks Inflationary? Asymmetric and Nonlinear Specifications versus Changes in Regime," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(2), pages 540-561, May.
    8. Fenghua Wen & Jihong Xiao & Chuangxia Huang & Xiaohua Xia, 2018. "Interaction between oil and US dollar exchange rate: nonlinear causality, time-varying influence and structural breaks in volatility," Applied Economics, Taylor & Francis Journals, vol. 50(3), pages 319-334, January.
    9. Wen, Fenghua & Ye, Zhengke & Yang, Huaidong & Li, Ke, 2018. "Exploring the rebound effect from the perspective of household: An analysis of China's provincial level," Energy Economics, Elsevier, vol. 75(C), pages 345-356.
    10. Cunado, Juncal & Jo, Soojin & Perez de Gracia, Fernando, 2015. "Macroeconomic impacts of oil price shocks in Asian economies," Energy Policy, Elsevier, vol. 86(C), pages 867-879.
    11. Fenghua Wen & Zhifang He & Xu Gong & Aiming Liu, 2014. "Investors’ Risk Preference Characteristics Based on Different Reference Point," Discrete Dynamics in Nature and Society, Hindawi, vol. 2014, pages 1-9, April.
    12. Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
    13. Chen, Shiu-Sheng, 2009. "Oil price pass-through into inflation," Energy Economics, Elsevier, vol. 31(1), pages 126-133, January.
    14. Gao, Liping & Kim, Hyeongwoo & Saba, Richard, 2013. "How Does the Oil Price Shock Affect Consumers?," MPRA Paper 49565, University Library of Munich, Germany.
    15. Marc Gronwald, 2012. "Oil and the U.S. Macroeconomy: A Reinvestigation Using Rolling Impulse Responses," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    16. Darby, Michael R, 1982. "The Price of Oil and World Inflation and Recession," American Economic Review, American Economic Association, vol. 72(4), pages 738-751, September.
    17. Christiane Baumeister & Gert Peersman, 2013. "Time-Varying Effects of Oil Supply Shocks on the US Economy," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(4), pages 1-28, October.
    18. Cashin, Paul & Mohaddes, Kamiar & Raissi, Maziar & Raissi, Mehdi, 2014. "The differential effects of oil demand and supply shocks on the global economy," Energy Economics, Elsevier, vol. 44(C), pages 113-134.
    19. Xu Gong & Boqiang Lin, 2018. "Structural breaks and volatility forecasting in the copper futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(3), pages 290-339, March.
    20. Robert B. Barsky & Lutz Kilian, 2002. "Do We Really Know That Oil Caused the Great Stagflation? A Monetary Alternative," NBER Chapters, in: NBER Macroeconomics Annual 2001, Volume 16, pages 137-198, National Bureau of Economic Research, Inc.
    21. Giorgio E. Primiceri, 2005. "Time Varying Structural Vector Autoregressions and Monetary Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 821-852.
    22. Svedberg, Peter & Tilton, John E., 2011. "Long-term trends in the Real real prices of primary commodities: Inflation bias and the Prebisch-Singer hypothesis," Resources Policy, Elsevier, vol. 36(1), pages 91-93, March.
    23. Zhujia Yin & Lijuan Liu & Haidong Wang & Fengming Wen, 2018. "Study on the ownership balance and the efficiency of mixed ownership enterprises from the perspective of heterogeneous shareholders," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-15, April.
    24. Álvarez, Luis J. & Hurtado, Samuel & Sánchez, Isabel & Thomas, Carlos, 2011. "The impact of oil price changes on Spanish and euro area consumer price inflation," Economic Modelling, Elsevier, vol. 28(1), pages 422-431.
    25. Gong, Xu & Wen, Fenghua & Xia, X.H. & Huang, Jianbai & Pan, Bin, 2017. "Investigating the risk-return trade-off for crude oil futures using high-frequency data," Applied Energy, Elsevier, vol. 196(C), pages 152-161.
    26. Gong, Xu & Lin, Boqiang, 2017. "Forecasting the good and bad uncertainties of crude oil prices using a HAR framework," Energy Economics, Elsevier, vol. 67(C), pages 315-327.
    27. Lance J. Bachmeier & Inkyung Cha, 2011. "Why Don’t Oil Shocks Cause Inflation? Evidence from Disaggregate Inflation Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(6), pages 1165-1183, September.
    28. John T Cuddington & Daniel Jerrett, 2008. "Super Cycles in Real Metals Prices?," IMF Staff Papers, Palgrave Macmillan, vol. 55(4), pages 541-565, December.
    29. Dai, Zhifeng & Wen, Fenghua, 2018. "Some improved sparse and stable portfolio optimization problems," Finance Research Letters, Elsevier, vol. 27(C), pages 46-52.
    30. Juncal Cunado & Soojin Jo & Fernando Perez de Gracia, 2015. "Revisiting the Macroeconomic Impact of Oil Shocks in Asian Economies," Staff Working Papers 15-23, Bank of Canada.
    31. Ana Gómez-Loscos & Mar𨀠 Dolores Gadea & Antonio Montañ鳠, 2012. "Economic growth, inflation and oil shocks: are the 1970s coming back?," Applied Economics, Taylor & Francis Journals, vol. 44(35), pages 4575-4589, December.
    32. Jouchi Nakajima, 2011. "Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 29, pages 107-142, November.
    33. Mansor H. Ibrahim & Kanokwan Chancharoenchai, 2014. "How inflationary are oil price hikes? A disaggregated look at Thailand using symmetric and asymmetric cointegration models," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 19(3), pages 409-422, July.
    34. Gong, Xu & Lin, Boqiang, 2018. "Time-varying effects of oil supply and demand shocks on China's macro-economy," Energy, Elsevier, vol. 149(C), pages 424-437.
    35. Fernandez, Viviana, 2014. "Linear and non-linear causality between price indices and commodity prices," Resources Policy, Elsevier, vol. 41(C), pages 40-51.
    36. Min Zhou & Xiaoqun Liu & Bin Pan & Xin Yang & Fenghua Wen & Xiaohua Xia, 2017. "Effect of Tourism Building Investments on Tourist Revenues in China: A Spatial Panel Econometric Analysis," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 53(9), pages 1973-1987, September.
    37. Sek, Siok Kun, 2017. "Impact of oil price changes on domestic price inflation at disaggregated levels: Evidence from linear and nonlinear ARDL modeling," Energy, Elsevier, vol. 130(C), pages 204-217.
    38. Herwartz, Helmut & Plödt, Martin, 2016. "The macroeconomic effects of oil price shocks: Evidence from a statistical identification approach," Journal of International Money and Finance, Elsevier, vol. 61(C), pages 30-44.
    39. Xiao, Jihong & Zhou, Min & Wen, Fengming & Wen, Fenghua, 2018. "Asymmetric impacts of oil price uncertainty on Chinese stock returns under different market conditions: Evidence from oil volatility index," Energy Economics, Elsevier, vol. 74(C), pages 777-786.
    40. Chen, Mei-Hsiu, 2010. "Understanding world metals prices--Returns, volatility and diversification," Resources Policy, Elsevier, vol. 35(3), pages 127-140, September.
    41. Riggi, Marianna & Venditti, Fabrizio, 2015. "The time varying effect of oil price shocks on euro-area exports," Journal of Economic Dynamics and Control, Elsevier, vol. 59(C), pages 75-94.
    42. Fernandez, Viviana, 2012. "Trends in real commodity prices: How real is real?," Resources Policy, Elsevier, vol. 37(1), pages 30-47.
    43. Reboredo, Juan C. & Ugolini, Andrea, 2016. "The impact of downward/upward oil price movements on metal prices," Resources Policy, Elsevier, vol. 49(C), pages 129-141.
    44. Mutafoglu, Takvor H. & Tokat, Ekin & Tokat, Hakki A., 2012. "Forecasting precious metal price movements using trader positions," Resources Policy, Elsevier, vol. 37(3), pages 273-280.
    45. Hongwei Zhang & Xuehong Zhu & Yaoqi Guo & Haibo Liu, 2018. "A separate reduced‐form volatility forecasting model for nonferrous metal market: Evidence from copper and aluminum," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(7), pages 754-766, November.
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