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Model-free and Model-based connectedness in highly, medium and lowly correlated financial returns: analyses of OECD inflations

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  • Gil-Alana, Luis A.
  • Yaya, OlaOluwa S
  • Adesina, Oluwaseun A.
  • Vo, Xuan Vinh

Abstract

This paper deals with the analysis of inflation in financial returns by using model-free connectedness framework which includes investigating persistence in the series and data from 22 countries from April 1958 to November 2023 which are grouped into highly, medium and lowly correlated returns. The results indicate that 10 countries, among the members of G12 are listed among highly-medium correlated inflation returns. The G7 countries are listed with high-medium inflation returns, of which France, Germany, Italy, and the USA are net shock transmitters, while Canada, Japan and the UK are net shock receivers. Total connectedness indices are positively related to the correlations, and the connectedness is found to increase astronomically towards late 2020 due to economic and financial market integration. Global financial crisis such as that of 2007-2009 and the COVID-19 pandemic have reset the integration of economic variables again. A policy recommendation is therefore given at the end.

Suggested Citation

  • Gil-Alana, Luis A. & Yaya, OlaOluwa S & Adesina, Oluwaseun A. & Vo, Xuan Vinh, 2024. "Model-free and Model-based connectedness in highly, medium and lowly correlated financial returns: analyses of OECD inflations," MPRA Paper 123108, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:123108
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    References listed on IDEAS

    as
    1. Nguyen, Thao Thac Thanh & Pham, Son Duy & Li, Xiao-Ming & Do, Hung Xuan, 2024. "Does the U.S. export inflation? Evidence from the dynamic inflation spillover between the U.S. and EAGLEs," International Review of Economics & Finance, Elsevier, vol. 94(C).
    2. Chatziantoniou, Ioannis & Gabauer, David & Stenfors, Alexis, 2021. "Interest rate swaps and the transmission mechanism of monetary policy: A quantile connectedness approach," Economics Letters, Elsevier, vol. 204(C).
    3. Yaya OlaOluwa S., 2018. "Another Look At The Stationarity Of Inflation Rates In Oecd Countries: Application Of Structural Break-Garch-Based Unit Root Tests," Statistics in Transition New Series, Statistics Poland, vol. 19(3), pages 477-493, September.
    4. Aviral Kumar Tiwari & Niyati Bhanja & Arif Billah Dar, 2016. "Frequency based co-movement of inflation in selected euro area countries," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2015(2), pages 1-13.
    5. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    6. Haroon Mumtaz & Saverio Simonelli & Paolo Surico, 2011. "International Comovements, Business Cycle and Inflation: a Historical Perspective," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(1), pages 176-198, January.
    7. Lastrapes, William D. & Wiesen, Thomas F.P., 2021. "The joint spillover index," Economic Modelling, Elsevier, vol. 94(C), pages 681-691.
    8. Henriksen, Espen & Kydland, Finn & Sustek, Roman, 2008. "The High Cross-Country Correlations of Prices and Interest Rates," MPRA Paper 10963, University Library of Munich, Germany.
    9. Yaya, OlaOluwa S & Ogbonna, Ahamuefula & Atoi, Ngozi V, 2019. "Are inflation rates in OECD countries actually stationary during 2011-2018? Evidence based on Fourier Nonlinear Unit root tests with Break," MPRA Paper 93937, University Library of Munich, Germany.
    10. Christoffersen, Peter & Feunou, Bruno & Jacobs, Kris & Meddahi, Nour, 2014. "The Economic Value of Realized Volatility: Using High-Frequency Returns for Option Valuation," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(3), pages 663-697, June.
    11. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    12. Nassar S. Al-Nassar & Abdulrahman A. Albahouth, 2023. "Inflation Spillovers among Advanced and Emerging Economies: Evidence from the G20 Group," Economies, MDPI, vol. 11(4), pages 1-25, April.
    13. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    14. Hsu-Ling Chang & Chi-Wei Su, 2010. "Revisiting purchasing power parity for major OPEC countries: evidence based on nonlinear panel unit-root tests," Applied Economics Letters, Taylor & Francis Journals, vol. 17(11), pages 1119-1123.
    15. Neely, Christopher J. & Rapach, David E., 2011. "International comovements in inflation rates and country characteristics," Journal of International Money and Finance, Elsevier, vol. 30(7), pages 1471-1490.
    16. Yang, Jian & Guo, Hui & Wang, Zijun, 2006. "International transmission of inflation among G-7 countries: A data-determined VAR analysis," Journal of Banking & Finance, Elsevier, vol. 30(10), pages 2681-2700, October.
    17. Khandokar Istiak & Aviral Kumar Tiwari & Humaira Husain & Kazi Sohag, 2021. "The Spillover of Inflation among the G7 Countries," JRFM, MDPI, vol. 14(8), pages 1-20, August.
    18. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    19. Tsangyao Chang & Wen-Chi Liu & Chin-Ping Yu, 2010. "Revisiting purchasing power parity for G7 countries: further evidence based on panel SURKSS tests," Applied Economics Letters, Taylor & Francis Journals, vol. 17(14), pages 1383-1387.
    20. Yener, Coskun & Akinsomi, Omokolade & Gil-Alana, Luis A. & Yaya, OlaOluwa S, 2023. "Stock Market Responses to COVID-19: The Behaviors of Mean Reversion, Dependence and Persistence," MPRA Paper 117002, University Library of Munich, Germany.
    21. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    22. Tommaso Monacelli & Luca Sala, 2009. "The International Dimension of Inflation: Evidence from Disaggregated Consumer Price Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(s1), pages 101-120, February.
    23. 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.
    24. Charles Engel, 2016. "Exchange Rates, Interest Rates, and the Risk Premium," American Economic Review, American Economic Association, vol. 106(2), pages 436-474, February.
    25. Gabauer, David & Chatziantoniou, Ioannis & Stenfors, Alexis, 2023. "Model-free connectedness measures," Finance Research Letters, Elsevier, vol. 54(C).
    26. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2020. "Refined Measures of Dynamic Connectedness based on Time-Varying Parameter Vector Autoregressions," JRFM, MDPI, vol. 13(4), pages 1-23, April.
    27. Balcilar, Mehmet & Gabauer, David & Umar, Zaghum, 2021. "Crude Oil futures contracts and commodity markets: New evidence from a TVP-VAR extended joint connectedness approach," Resources Policy, Elsevier, vol. 73(C).
    28. Dror Y. Kenett & Xuqing Huang & Irena Vodenska & Shlomo Havlin & H. Eugene Stanley, 2015. "Partial correlation analysis: applications for financial markets," Quantitative Finance, Taylor & Francis Journals, vol. 15(4), pages 569-578, April.
    29. Roman Sustek & Finn Kydland & Espen Henriksen, 2008. "The High Correlations of Prices and Interest Rates across Nations," 2008 Meeting Papers 773, Society for Economic Dynamics.
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    More about this item

    Keywords

    Persistence; fractional integration; model-free connectedness; price inflation; G12 countries;
    All these keywords.

    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • 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

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