Together in bad times? The effect of COVID-19 on inflation spillovers in China
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DOI: 10.1016/j.iref.2024.01.015
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- Barthélémy Bonadio & Andreas M Fischer & Philip Sauré, 2020.
"The Speed of Exchange Rate Pass-Through,"
Journal of the European Economic Association, European Economic Association, vol. 18(1), pages 506-538.
- Barthélémy Bonadio & Andreas M. Fischer & Philip Saure, 2016. "The speed of exchange rate pass-through," Globalization Institute Working Papers 282, Federal Reserve Bank of Dallas.
- Fischer, Andreas & Sauré, Philip, 2016. "The speed of the exchange rate pass-through," CEPR Discussion Papers 11195, C.E.P.R. Discussion Papers.
- Barthélémy Bonadio & Andreas M. Fischer & Philip U. Sauré, 2018. "The speed of exchange rate pass-through," Working Papers 2018-05, Swiss National Bank.
- Salisu, Afees A. & Akanni, Lateef & Raheem, Ibrahim, 2020. "The COVID-19 global fear index and the predictability of commodity price returns," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
- Diebold, Francis X. & Yılmaz, Kamil, 2014.
"On the network topology of variance decompositions: Measuring the connectedness of financial firms,"
Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
- Francis X. Diebold & Kamil Yilmaz, 2011. "On the Network Topology of Variance Decompositions: Measuring the Connectedness of Financial Firms," Koç University-TUSIAD Economic Research Forum Working Papers 1124, Koc University-TUSIAD Economic Research Forum.
- Francis X. Diebold & Kamil Yilmaz, 2011. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Working Papers 11-45, Federal Reserve Bank of Philadelphia.
- Francis X. Diebold & Kamil Yılmaz, 2011. "On the Network Topology of Variance Decompositions: Measuring the Connectedness of Financial Firms," PIER Working Paper Archive 11-031, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Francis X. Diebold & Kamil Yilmaz, 2011. "On the Network Topology of Variance Decompositions: Measuring the Connectedness of Financial Firms," NBER Working Papers 17490, National Bureau of Economic Research, Inc.
- Zhi Su & Xuanye Cai & You Wu, 2023. "Exchange rates forecasting and trend analysis after the COVID-19 outbreak: new evidence from interpretable machine learning," Applied Economics Letters, Taylor & Francis Journals, vol. 30(15), pages 2052-2059, September.
- Choi, Sangyup & Furceri, Davide & Loungani, Prakash & Mishra, Saurabh & Poplawski-Ribeiro, Marcos, 2018.
"Oil prices and inflation dynamics: Evidence from advanced and developing economies,"
Journal of International Money and Finance, Elsevier, vol. 82(C), pages 71-96.
- Sangyup Choi & Davide Furceri & Prakash Loungani & Saurabh Mishra & Marcos Poplawski-Ribeiro, 2017. "Oil Prices and Inflation Dynamics: Evidence from Advanced and Developing Economies," Working papers 2017rwp-111, Yonsei University, Yonsei Economics Research Institute.
- Sangyup Choi & Davide Furceri & Mr. Prakash Loungani & Mr. Saurabh Mishra & Mr. Marcos Poplawski Ribeiro, 2017. "Oil Prices and Inflation Dynamics: Evidence from Advanced and Developing Economies," IMF Working Papers 2017/196, International Monetary Fund.
- Zhang, Dayong & Hu, Min & Ji, Qiang, 2020. "Financial markets under the global pandemic of COVID-19," Finance Research Letters, Elsevier, vol. 36(C).
- Malik, Farooq & Umar, Zaghum, 2019. "Dynamic connectedness of oil price shocks and exchange rates," Energy Economics, Elsevier, vol. 84(C).
- Daron Acemoglu & Ufuk Akcigit & William Kerr, 2016.
"Networks and the Macroeconomy: An Empirical Exploration,"
NBER Macroeconomics Annual, University of Chicago Press, vol. 30(1), pages 273-335.
- Daron Acemoglu & Ufuk Akcigit & William Kerr, 2015. "Networks and the Macroeconomy: An Empirical Exploration," NBER Chapters, in: NBER Macroeconomics Annual 2015, Volume 30, pages 273-335, National Bureau of Economic Research, Inc.
- Acemoglu, Daron & Akcigit, Ufuk & Kerr, William R., 2015. "Networks and the macroeconomy: an empirical exploration," Bank of Finland Research Discussion Papers 25/2015, Bank of Finland.
- Daron Acemoglu & Ufuk Akcigit & William Kerr, 2015. "Networks and the Macroeconomy: An Empirical Exploration," NBER Working Papers 21344, National Bureau of Economic Research, Inc.
- Zhang, Dayong & Broadstock, David C., 2020. "Global financial crisis and rising connectedness in the international commodity markets," International Review of Financial Analysis, Elsevier, vol. 68(C).
- Marais, E. & Bates, S., 2006.
"An empirical study to identify shift contagion during the Asian crisis,"
Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(5), pages 468-479, December.
- Samuel Bates & Elise Marais, 2006. "An empirical study to identify shift contagion during the Asian crisis," Post-Print hal-02136530, HAL.
- Elise Marais & Samuel Bates, 2006. "An empirical study to identify shift contagion during the Asian crisis," Post-Print hal-01288429, HAL.
- Xu, Yingying, 2021. "Risk spillover from energy market uncertainties to the Chinese carbon market," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
- Santiago E. Alvarez & Sarah M. Lein, 2020.
"Tracking inflation on a daily basis,"
Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-13, December.
- Alvarez, Santiago E. & Lein, Sarah M., 2020. "Tracking Inflation on a Daily Basis," Working papers 2020/16, Faculty of Business and Economics - University of Basel.
- repec:dau:papers:123456789/272 is not listed on IDEAS
- Umar, Zaghum & Nasreen, Samia & Solarin, Sakiru Adebola & Tiwari, Aviral Kumar, 2019. "Exploring the time and frequency domain connectedness of oil prices and metal prices," Resources Policy, Elsevier, vol. 64(C).
- Adam Hale Shapiro, 2020. "Monitoring the Inflationary Effects of COVID-19," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, vol. 2020(24), pages 01-06, August.
- Caporin, Massimiliano & Naeem, Muhammad Abubakr & Arif, Muhammad & Hasan, Mudassar & Vo, Xuan Vinh & Hussain Shahzad, Syed Jawad, 2021. "Asymmetric and time-frequency spillovers among commodities using high-frequency data," Resources Policy, Elsevier, vol. 70(C).
- Wu, You & Ren, Wenting & Wan, Jieru & Liu, Xiaoxue, 2023. "Time-frequency volatility connectedness between fossil energy and agricultural commodities: Comparing the COVID-19 pandemic with the Russia-Ukraine conflict," Finance Research Letters, Elsevier, vol. 55(PA).
- Alberto Cavallo, 2024.
"Inflation with Covid Consumption Baskets,"
IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 72(2), pages 902-917, June.
- Alberto Cavallo, 2020. "Inflation with Covid Consumption Baskets," NBER Working Papers 27352, National Bureau of Economic Research, Inc.
- Xu, Yingying & Lien, Donald, 2022. "Assessing the impact of COVID-19 on price Co-movements in China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
- Xiangcai Meng, 2018. "Does Agricultural Commodity Price Co-move with Oil Price in the Time-Frequency Space? Evidence from the Republic of Korea," International Journal of Energy Economics and Policy, Econjournals, vol. 8(4), pages 125-133.
- Ferrer, Román & Shahzad, Syed Jawad Hussain & López, Raquel & Jareño, Francisco, 2018. "Time and frequency dynamics of connectedness between renewable energy stocks and crude oil prices," Energy Economics, Elsevier, vol. 76(C), pages 1-20.
- Simon H. Kwan & Thomas M. Mertens, 2020. "Market Assessment of COVID-19," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, vol. 2020(14), pages 1-5, May.
- Antonakakis, Nikolaos & Cunado, Juncal & Filis, George & Gabauer, David & Perez de Gracia, Fernando, 2018.
"Oil volatility, oil and gas firms and portfolio diversification,"
Energy Economics, Elsevier, vol. 70(C), pages 499-515.
- Nikolaos Antonakakis & Juncal Cunado & George Filis & David Gabauer & Fernando Perez de Gracia, 2018. "Oil volatility, oil and gas firms and portfolio diversification," BAFES Working Papers BAFES18, Department of Accounting, Finance & Economic, Bournemouth University.
- Jozef Baruník & Tomáš Křehlík, 2018.
"Measuring the Frequency Dynamics of Financial Connectedness and Systemic Risk,"
Journal of Financial Econometrics, Oxford University Press, vol. 16(2), pages 271-296.
- Jozef Barunik & Tomas Krehlik, 2015. "Measuring the frequency dynamics of financial connectedness and systemic risk," Papers 1507.01729, arXiv.org, revised Dec 2017.
- Tiwari, Aviral Kumar & Nasreen, Samia & Shahbaz, Muhammad & Hammoudeh, Shawkat, 2020. "Time-frequency causality and connectedness between international prices of energy, food, industry, agriculture and metals," Energy Economics, Elsevier, vol. 85(C).
- Xu, Yingying & Lien, Donald, 2020. "Dynamic exchange rate dependences: The effect of the U.S.-China trade war," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 68(C).
- Armantier, Olivier & Koşar, Gizem & Pomerantz, Rachel & Skandalis, Daphné & Smith, Kyle & Topa, Giorgio & van der Klaauw, Wilbert, 2021.
"How economic crises affect inflation beliefs: Evidence from the Covid-19 pandemic,"
Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 443-469.
- Olivier Armantier & Gizem Koşar & Rachel Pomerantz & Daphne Skandalis & Kyle Smith & Giorgio Topa & Wilbert Van der Klaauw, 2020. "How Economic Crises Affect Inflation Beliefs: Evidence from the COVID-19 Pandemic," Staff Reports 949, Federal Reserve Bank of New York.
- Jesse LaBelle & Ana Maria Santacreu, 2022. "Global Supply Chain Disruptions and Inflation During the COVID-19 Pandemic," Review, Federal Reserve Bank of St. Louis, vol. 104(2), pages 78-91.
- Lin, Boqiang & Su, Tong, 2021. "Does COVID-19 open a Pandora's box of changing the connectedness in energy commodities?," Research in International Business and Finance, Elsevier, vol. 56(C).
- Diebold, Francis X. & Yilmaz, Kamil, 2012.
"Better to give than to receive: Predictive directional measurement of volatility spillovers,"
International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
- Francis X. Diebold & Kamil Yilmaz, 2010. "Better to Give than to Receive: Predictive Directional Measurement of Volatility Spillovers," Koç University-TUSIAD Economic Research Forum Working Papers 1001, Koc University-TUSIAD Economic Research Forum, revised Mar 2010.
- Goodell, John W., 2020. "COVID-19 and finance: Agendas for future research," Finance Research Letters, Elsevier, vol. 35(C).
- Pascal Seiler, 2020. "Weighting bias and inflation in the time of COVID-19: evidence from Swiss transaction data," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-11, December.
- Tsutomu Watanabe, 2020. "The Responses of Consumption and Prices in Japan to the COVID-19 Crisis and the Tohoku Earthquake," Working Papers on Central Bank Communication 020, University of Tokyo, Graduate School of Economics.
- O’Brien, Derry & Dumoncel, Clémence & Gonçalves, Eduardo, 2021. "The role of demand and supply factors in HICP inflation during the COVID-19 pandemic – a disaggregated perspective," Economic Bulletin Articles, European Central Bank, vol. 1.
- Adam Hale Shapiro, 2020. "A Simple Framework to Monitor Inflation," Working Paper Series 2020-29, Federal Reserve Bank of San Francisco.
- Kantur, Zeynep & Özcan, Gülserim, 2021. "What pandemic inflation tells: Old habits die hard," Economics Letters, Elsevier, vol. 204(C).
- Kang, Sang Hoon & Tiwari, Aviral Kumar & Albulescu, Claudiu Tiberiu & Yoon, Seong-Min, 2019. "Exploring the time-frequency connectedness and network among crude oil and agriculture commodities V1," Energy Economics, Elsevier, vol. 84(C).
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- Xu, Yingying & Shao, Xuefeng & Tanasescu, Cristina, 2024. "How are artificial intelligence, carbon market, and energy sector connected? A systematic analysis of time-frequency spillovers," Energy Economics, Elsevier, vol. 132(C).
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More about this item
Keywords
Connectedness; COVID-19; Inflation; Spillover; Frequency;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
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
- F30 - International Economics - - International Finance - - - General
- G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
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