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FINANCIAL ECONOMICS

Comovement and contagion in commodity markets

ORCID Icon &
Article: 2064079 | Received 08 Jan 2022, Accepted 02 Apr 2022, Published online: 25 Apr 2022

References

  • Adhikari, R., & Putnam, K. J. (2019). Comovement in the commodity futures markets: An analysis of the energy, grains, and livestock sectors. Journal of Commodity Markets, 18, 1–13. https://doi.org/10.1016/j.jcomm.2019.04.002
  • Aït-Sahalia, Y., Cacho-Diaz, J., & Laeven, R. J. A. (2015). Modeling financial contagion using mutually exciting jump processes. Journal of Financial Economics, 117(3), 585–27. https://doi.org/10.1016/j.jfineco.2015.03.002
  • Algieri, B., & Leccadito, A. (2017). Assessing contagion risk from energy and non-energy commodity markets. Energy Economics, 62, 312–322. https://doi.org/10.1016/j.eneco.2017.01.006
  • Allen, F., & Gale, D. (2000). Financial contagion. Journal of Political Economy, 108(1), 1–33. https://doi.org/10.1086/262109
  • Amonlirdviman, K., & Carvalho, C. (2010). Loss aversion, asymmetric market comovements, and the home bias. Journal of International Money and Finance, 29(7), 1303–1320. https://doi.org/10.1016/j.jimonfin.2010.03.003
  • Andriosopoulos, K., Galariotis, E., & Spyrou, S. (2017). Contagion, volatility persistence and volatility spill-overs: The case of energy markets during the European financial crisis. Energy Economics, 66, 217–227. https://doi.org/10.1016/j.eneco.2017.06.023
  • Ausubel, L. M. (2006). An efficient dynamic auction for heterogeneous commodities. The American Economic Review, 96(34), 602–629. https://doi.org/10.1257/aer.96.3.602
  • Ayadi, A., Gana, M., Goutte, S., & Guesmi, K. (2021). Equity-commodity contagion during four recent crises: Evidence from the USA, Europe and the BRICS. International Review of Economics & Finance, 76, 376–423. https://doi.org/10.1016/j.iref.2021.06.013
  • Bae, K. H., Karolyi, A., & Stulz, R. M. (2003). A new approach to measuring financial contagion. The Review of Financial Studies, 16(3), 717–763. https://doi.org/10.1093/rfs/hhg012
  • Bai, Z., Hui, Y., Jiang, D., Lv, Z., Wong, W. K., & Zheng, S. (2018). A new test of multivariate nonlinear causality. PLOS ONE, 13(1), e0185155 https://doi.org/10.1371/journal.pone.0185155
  • Balcilar, M., Gabauer, D., & Umar, Z. (2021). Crude Oil futures contracts and commodity markets: New evidence from a TVP-VAR extended joint connectedness approach. Resources Policy, 73, 102219 https://doi.org/10.1016/j.resourpol.2021.102219
  • Basak, S., & Pavlova, A. (2016). A model of financialization of commodities. The Journal of Finance, 71(4), 1511–1556. https://doi.org/10.1111/jofi.12408
  • Basu, D., & Miffre, J. (2013). Capturing the risk premium of commodity futures: The role of hedging pressure Energy Economics, 37(7), 2652–2664. https://doi.org/10.1016/j.jbankfin.2013.02.031
  • Bilder, C. R., & Loughin, T. M. (2015). Analysis of Categorical Data with R, CRC Press Taylor and Francis Group.
  • Brusco, S., & Castiglionesi, F. (2007). Liquidity coinsurance, moral hazard, and financial contagion. The Journal of Finance, 62(5), 2275–2302. https://doi.org/10.1111/j.1540-6261.2007.01275.x
  • Cai, G., Zhang, H., & Chen, Z. (2019). Comovement between commodity sectors. Physica A, 525, 1247–1258. https://doi.org/10.1016/j.physa.2019.04.116
  • Cavaliere, G., Nielse, M. O., & Taylor, A. M. R. (2015). Bootstrap score tests for fractional integration in heteroskedastic ARFIMA models, with an application to price dynamics in commodity spot and futures markets. Journal of Econometrics, 187(2), 557–579. https://doi.org/10.1016/j.jeconom.2015.02.039
  • Chan, L. K. C., Lakonishok, J., & Swaminathan, B. (2007). Industry classifications and return comovement. Financial Analysts Journal, 63(6), 56–70. https://doi.org/10.2469/faj.v63.n6.4927
  • Cheng, I. H., & Xiong, W. (2014). Financialization of commodity markets. Annual Review of Financial Economics, 6, 419–441. 1 https://doi.org/10.1146/annurev-financial-110613-034432
  • Chevallier, J., & Ielpo, F. (2013). Volatility spillovers in commodity markets. Applied Economics Letters, 20(13), 1211–1227. https://doi.org/10.1080/13504851.2013.799748
  • Elliott, M., Golub, B., & Jackson, M. O. (2014). Financial networks and contagion. The American Economic Review, 104(10), 3115–3153. https://doi.org/10.1257/aer.104.10.3115
  • Emekter, R., Jirasakuldech, B., & Went, P. (2012). Rational speculative bubbles and commodities markets: Application of duration dependence test?. Applied Financial Economics, 22(7), 581–596. https://doi.org/10.1080/09603107.2011.619496
  • Ferrer, R., Shahzad, S. J. H., López, R., & Jareño, F. (2018). Time and frequency dynamics of connectedness between renewable energy stocks and crude oil prices. Energy Economics, 76, 1–20. https://doi.org/10.1016/j.eneco.2018.09.022
  • Fleurbaey, M., & Tadenuma, K. (2007). Do irrelevant commodities matter?. Econometrica, 75(4), 1143–1174. https://doi.org/10.1111/j.1468-0262.2007.00784.x
  • Forbes, K. J., & Rigobon, R. (2002). No contagion, only interdependence: Measuring stock market comovement. The Journal of Finance, 57(5), 2223–2261. https://doi.org/10.1111/0022-1082.00494
  • Fry-McKibbin, R., Hsiao, C. Y., & Martin, V. L. (2019). Joint tests of contagion with applications. Quantitative Finance, 19(3), 473–490. https://doi.org/10.1080/14697688.2018.1475747
  • Greene, W. H. (2017). Econometric analysis 8th edition, Pearson Education Inc.
  • Hameed, A., Morck, R., Shen, J., & Yeung, B. (2015). Information, analysts, and stock return comovement. The Review of Financial Studies, 28(11), 3153–3187. https://doi.org/10.1093/rfs/hhv042
  • Han, L., Zhou, Y., & Yin, L. (2015). Exogenous impacts on the links between energy and agricultural commodity markets. Energy Economics, 49, 350–358. https://doi.org/10.1016/j.eneco.2015.02.021
  • Hill, R. C., Griffiths, W. E., & Lim, G. C. (2011). Principles of econometrics 4th edition, John Wiley & Sons Inc.
  • Ignatieva, K., & Ponomareva, N. (2017). Commodity currencies and commodity prices: Modelling static and time-varying dependence. Applied Economics, 49(15), 1491–1512. https://doi.org/10.1080/00036846.2016.1221038
  • Ji, Q., Bouri, E., Roubaud, D., & Shahzad, S. J. H. (2017). Risk spillover between energy and agricultural commodity markets: A dependence-switching CoVaR-copula model. Energy Economics, 75, 14–27. https://doi.org/10.1016/j.eneco.2018.08.015
  • Kang, S. H., McIver, R. M., & Yoon, S. M. (2017). Dynamic spillover effects among crude oil, precious metal, and agricultural commodity futures markets. Energy Economics, 62, 19–32. https://doi.org/10.1016/j.eneco.2016.12.011
  • Kleiber, C., & Zeileis, A. (2008). Applied econometrics with R, Springer.
  • Kodres, L. A., & Pritsker, M. (2002). A rational expectations model of financial contagion. The Journal of Finance, 57(2), 769–799. https://doi.org/10.1111/1540-6261.00441
  • Kotzé, E., Schuth, S., Goldmann, S., Winkler, B., Botcharnikov, R. E., & Holtz, F. (2019). The mobility of palladium and platinum in the presence of humic acids: An experimental study. Chemical Geology, 514(5), 65–78. https://doi.org/10.1016/j.chemgeo.2019.03.028
  • Lapavitsas, C. (2004). Why commodities represent more than market relations. Science and Society, 68(1), 33–56. https://doi.org/10.1521/siso.68.1.33.25757
  • Leitner, Y. (2005). Financial networks: Contagion, commitment, and private sector bailouts. The Journal of Finance, 60(6), 2925–2953. https://doi.org/10.1111/j.1540-6261.2005.00821.x
  • Liu, P., & Tang, K. (2011). The stochastic behavior of commodity prices with heteroskedasticity in the convenience yield. Journal of Empirical Finance, 18(2), 211–224. https://doi.org/10.1016/j.jempfin.2010.12.003
  • Malceniece, L., Malcenieks, K., & Putninš, T. J. (2019). High frequency trading and comovement in financial markets. Journal of Financial Economics, 134(2), 381–399. https://doi.org/10.1016/j.jfineco.2018.02.015
  • Malik, F., & Umar, Z. (2019). Dynamic connectedness of oil price shocks and exchange rates. Energy Economics, 84, https://doi.org/10.1016/j.eneco.2019.104501.
  • Naeem, M., Umar, Z., Ahmed, S., & Ferrouhi, E. M. (2020). Dynamic dependence between ETFs and crude oil prices by using EGARCH-Copula approach. Physica A: Statistical Mechanics and Its Applications, 557, 124885 https://doi.org/10.1016/j.physa.2020.124885
  • Nagayev, S., Disli, M., Inghelbrecht, K., & Ng, A. (2016). On the dynamic links between commodities and Islamic equity. Energy Economics, 58, 125–140. https://doi.org/10.1016/j.eneco.2016.06.011
  • Nazlioglu, S., Erdem, S., & Soytas, U. (2013), “Volatility spillover between oil and agricultural commodity markets. Energy Economics, 36, 658–665. https://doi.org/10.1016/j.eneco.2012.11.009
  • Nguyen, Q. N., Aboura, S., Chevallier, J., Zhang, L., & Zhu, B. (2020). Local Gaussian correlations in financial and commodity markets. European Journal of Operational Research, 285(1), 306–323. https://doi.org/10.1016/j.ejor.2020.01.023
  • Nguyen, D. B. B., & Prokopczuk, M. (2019). Jumps in commodity markets. Journal of Commodity Markets, 13, 55–70. https://doi.org/10.1016/j.jcomm.2018.10.002
  • Pasquariello, P. (2007). Imperfect competition, information heterogeneity, and financial contagion. The Review of Financial Studies, 20(2), 391–426. https://doi.org/10.1093/rfs/hhl010
  • Pereira, M., Ramos, S. B., & Dias, J. G. (2017). The cyclical behaviour of commodities. The European Journal of Finance, 23(12), 1107–1128. https://doi.org/10.1080/1351847X.2016.1205505
  • Rane, M. V. (2019). PGM ore processing: LIX reagents for palladium extraction & platinum stripping from Alamine 336 using NaOH-NaCl. Minerals Engineering, 138, 119–124. https://doi.org/10.1016/j.mineng.2019.04.044
  • Reboredo, J. C., Rivera-Castroa, M. A., & Zebende, G. F. (2014). Oil and US dollar exchange rate dependence: A detrended cross-correlation approach. Energy Economics, 42, 132–139. https://doi.org/10.1016/j.eneco.2013.12.008
  • Seth, N., & Panda, L. (2018). Financial contagion: Review of empirical literature. Qualitative Research in Financial Markets, 10(1), 15–70. https://doi.org/10.1108/QRFM-06-2017-0056
  • Tang, K., & Xiong, W. (2012). Index investment and the financialization of commodities. Financial Analysts Journal, 68 (6), 54–74. https://doi.org/10.2469/faj.v68.n6.5
  • Uddin, G. Z., Hernandez, J. A., Shahzad, S. J. H., & Hedström, A. (2018). Multivariate dependence and spillover effects across energy commodities and diversification potentials of carbon assets. Energy Economics, 71, 35–46. https://doi.org/10.1016/j.eneco.2018.01.035
  • Umar, Z., Zaremba, A., & Olson, D. (2022). Seven centuries of commodity co-movement: A wavelet analysis approach. Applied Economics Letters, 29(4), 355–359. https://doi.org/10.1080/13504851.2020.1869151
  • Vivian, A., & Wohar, M. E. (2012). Commodity volatility breaks. Journal of International Financial Markets, Institutions & Money, 22(2), 395–422. https://doi.org/10.1016/j.intfin.2011.12.003
  • Wang, G. J., Xie, C., Lin, M., & Stanley, H. E. (2017). Stock market contagion during the global financial crisis: A multiscale approach. Finance Research Letters, 22, 163–168. https://doi.org/10.1016/j.frl.2016.12.025
  • Yahya, M., Oglend, A., & Dahl, R. E. (2019). Temporal and spectral dependence between crude oil and agricultural commodities: A wavelet-based copula approach. Energy Economics, 80, 277–296. https://doi.org/10.1016/j.eneco.2019.01.011
  • Yang, C. H., Lin, C. T., & Kao, Y. S. (2012). Exploring stationarity and structural breaks in commodity prices by the panel data model. Applied Economics Letters, 19(4), 353–361. https://doi.org/10.1080/13504851.2011.579052
  • Yang, C., Niu, Z., & Gao, W. (2022). The time-varying effects of trade policy uncertainty and geopolitical risks shocks on the commodity market prices: Evidence from the TVP-VAR-SV approach. Resources Policy, 76, 102600 https://doi.org/10.1016/j.resourpol.2022.102600
  • Yip, P. S., Brooks, R., & Do, H. X. (2017). Dynamic spillover between commodities and commodity currencies during United States Q.E. Energy Economics, 66, 399–410. https://doi.org/10.1016/j.eneco.2017.07.008
  • Zainudin, A. D., & Mohamad, A. (2021). Financial contagion in the futures markets amidst global geo-economic events. The Quarterly Review of Economics and Finance, 81, 288–308. https://doi.org/10.1016/j.qref.2021.06.021
  • Zhou, L., & Huang, J. (2020). Contagion of future-level sentiment in Chinese Agricultural Futures Markets. Pacific-Basin Finance Journal, 61, 101316 https://doi.org/10.1016/j.pacfin.2020.101316
  • Zhu, H., Duan, R., Peng, C., & Jia, X. (2019). The heterogeneous dependence between global crude oil and Chinese commodity futures markets: Evidence from quantile regression. Applied Economics, 51(28), 3031–3048. https://doi.org/10.1080/00036846.2018.1564117