Una nueva perspectiva del contagio financiero energético en Colombia: evidencia del análisis de ondas y dinámicas de comovimientos

Palabras clave: contagio financiero energético, comovimientos, análisis de ondas, precio spot de energía, mercado global de energía

Resumen

Objetivo: examinar la existencia de contagio financiero energético desde los principales indicadores de desempeño energético: petróleo, gas natural y carbón sobre los precios spot de energía en Colombia.

Diseño/metodología: la metodología empleada en este estudio fue de tipo correlacional, con un enfoque cuantitativo. Se emplearon datos diarios de febrero de 2011 a diciembre de 2018, excluyendo la crisis financiera de 2008 y la pandemia por COVID-19. Los datos provienen de Refinitiv y XM. Se aplicó el análisis de ondas (wavelets analysis) y dinámica de comovimientos (co-movimientos dynamics). Además, se utilizó la correlación cruzada para el análisis de contagio financiero entre los indicadores de desempeño energético y los precios spot de energía.

Resultados: la investigación demostró que existen correlaciones significativas a largo plazo entre los indicadores de desempeño energético y los precios spot de energía. Además, determinó la presencia de contagio del gas natural y del petróleo brent sobre los precios spot de energía durante periodos de crisis. Con respecto al carbón, no hay evidencia clara de contagio. Estos hallazgos son relevantes para comprender cómo los cambios en el mercado global de la energía pueden afectar los precios de esta a largo plazo en una economía emergente como la colombiana.

Conclusiones: el contagio financiero energético impacta la economía global, especialmente en mercados emergentes dependientes de energía. Este estudio resalta la necesidad de comprender y mitigar riesgos en el mercado energético, ofreciendo información clave para empresas, inversores y formuladores de políticas.

Originalidad: se emplearon métodos avanzados para analizar el impacto de los precios internacionales de combustibles en el mercado energético colombiano, identificando periodos de contagio y subrayando la vulnerabilidad de economías emergentes frente a cambios en el mercado global de la energía.

Biografía del autor/a

Luis Angel Meneses Cerón, Universidad Cooperativa de Colombia

Universidad Cooperativa de Colombia, Popayán - Colombia, luis.menesesc@campusucc.edu.co

Jorge Eduardo Orozco Álvarez, Corporación Universitaria Autónoma del Cauca

Corporación Universitaria Autónoma del Cauca, Popayán - Colombia, jorge.orozco.a@uniautonoma.edu.co

Juan Camilo Mosquera Muñoz, Corporación Universitaria Autónoma del Cauca

Corporación Universitaria Autónoma del Cauca, Popayán - Colombia, juan.mosquera.m@uniautonoma.edu.co

Víctor Manuel Vélez Rivera, Corporación Universitaria Autónoma del Cauca

Corporación Universitaria Autónoma del Cauca, Popayán - Colombia, victor.velez.r@uniautonoma.edu.co

Referencias bibliográficas

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

Bae, K.-H., Karolyi, G. 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

Benhmad, F. (2013). Bull or bear markets: A wavelet dynamic correlation perspective. Economic Modelling, 32, 576-591. https://doi.org/10.1016/j.econmod.2013.02.031

Belhassine, O., & Karamti, C. (2021). Volatility spillovers and hedging effectiveness between oil and stock markets: Evidence from a wavelet-based and structural breaks analysis. Energy Economics, 102, issue C, S0140988321003959. https://EconPapers.repec.org/RePEc:eee:eneeco:v:102:y:2021:i:c:s0140988321003959

Boako, G., Alagidede, I. P., Sjo, B., & Uddin, G. S. (2020). Commodities price cycles and their interdependence with equity markets. Energy Economics, 91, 104884. https://doi.org/10.1016/j.eneco.2020.104884

Boubaker, H., & Raza, S. A. (2017). A wavelet analysis of mean and volatility spillovers between oil and BRICS stock markets. Energy Economics, 64, 105-117. https://doi.org/10.1016/j.eneco.2017.01.026

Briones Pinargote, C. J. (2023). Competitividad internacional del sector atunero: una aplicación al sector ecuatoriano. Interciencia, 48(4), 184-196. https://dialnet.unirioja.es/servlet/articulo?codigo=8946148

Calvo, G. A., Leiderman, L., & Reinhart, C. M. (1996). Inflows of Capital to Developing Countries in the 1990s. Journal of Economic Perspectives, 10(2), 123-139. https://doi.org/10.1257/jep.10.2.123

Cărăuşu, D. N., Filip, B. F., Cigu, E., & Toderaşcu, C. (2018). Contagion of Capital Markets in CEE Countries: Evidence from Wavelet Analysis. Emerging Markets Finance and Trade, 54(3), 618-641. https://doi.org/10.1080/1540496X.2017.1410129

Centeno, M. A., Nag, M., Patterson, T. S., Shaver, A., & Windawi, A. J. (2015). The emergence of global systemic risk. Annual Review of Sociology, 41, 65-85. https://doi.org/10.1146/annurev-soc-073014-112317

Chakraborty, U. K. (2008). Advances Differential Evolution. Springer.

Dash, S. R., & Maitra, D. (2019). The relationship between emerging and developed market sentiment: A wavelet-based time-frequency analysis. Journal of Behavioral and Experimental Finance, 22, 135-150. https://doi.org/10.1016/j.jbef.2019.02.006

Díaz, G., Coto, J., & Gómez-Aleixandre, J. (2019). Prediction and explanation of the formation of the Spanish day-ahead electricity price through machine learning regression. Applied Energy, 239, 610-625. https://doi.org/10.1016/j.apenergy.2019.01.213

Dornbusch, R., Park, Y. C., & Claessens, S. (2000). Contagion: Understanding How It Spreads. The World Bank Research Observer, 15(2), 177-197. https://doi.org/10.1093/wbro/15.2.177

Eichengreen, B., Rose, A. K., & Wyplosz, C. (1999). Contagious Currency Crises. National Bureau of Economic Research, 29-56. https://doi.org/10.3386/w5681

Fang, S., & Egan, P. (2018). Measuring contagion effects between crude oil and Chinese stock market sectors. The Quarterly Review of Economics and Finance, 68, 31-38. https://doi.org/10.1016/j.qref.2017.11.010

Fernández-Macho, J. (2018). Time-localized wavelet multiple regression and correlation. Physica A: Statistical Mechanics and its Applications, 492, 1226-1238. https://doi.org/10.1016/j.physa.2017.11.050

Ftiti, Z., & Hadhri, S. (2019). Can economic policy uncertainty, oil prices, and investor sentiment predict Islamic stock returns? A multi-scale perspective. Pacific-Basin Finance Journal, 53, issue C, 40-55. https://EconPapers.repec.org/RePEc:eee:pacfin:v:53:y:2019:i:c:p:40-55

Forbes, K. J., & Rigobon, R. (2002). No contagion, only interdependence: Measuring stock market comovements. The Journal of Finance, 57(5), 2223-2261. https://doi.org/10.1111/0022-1082.00494

Fry, R., Martin, V. L., & Tang, C. (2010). A new class of tests of contagion with applications. Journal of Business y Economic Statistics, 28(3), 423-437. https://doi.org/10.1198/jbes.2010.06060

Fry-McKibbin, R., Hsiao, C.-L., & Tang, C. (2014). Contagion and global financial crises: lessons from nine crisis episodes. Open Economies Review, 25(3), 521-570. https://doi.org/10.1007/s11079-013-9289-1

Fry-McKibbin, R., & Hsiao, C. Y-L. (2018). Extremal dependence tests for contagion. Econometric Reviews, 37(6), 626-649. https://doi.org/10.1080/07474938.2015.1122270

Gallegati, M. (2012). A wavelet-based approach to test for financial market contagion. Computational Statistics y Data Analysis, 56(11), 3491-3497. https://doi.org/10.1016/j.csda.2010.11.003

Garcia, J., & Pérez-Libreros, A. F. (2019). El precio spot de la electricidad y la inclusión de energía renovable no convencional: evidencia para Colombia. SSRN. http://dx.doi.org/10.2139/ssrn.3443910

Ghorbel, A., & Boujelbene, Y. (2013). Contagion effect of the oil shock and US financial crisis on the GCC and BRIC countries. International Journal of Energy Sector Management, 7(4), 430-447. https://doi.org/10.1108/IJESM-04-2012-0002

Ghosh, I., Sanyal, M. K., & Jana, R. K. (2020). Co-movement and Dynamic Correlation of Financial and Energy Markets: An Integrated Framework of Nonlinear Dynamics, Wavelet Analysis and DCC-GARCH. Computational Economics, 57, 503–527. https://doi.org/10.1007/s10614-019-09965-0

Grubel, H. G., & Fadner, K. (1971). The interdependence of international equity markets. The Journal of Finance, 26(1), 89-94. https://doi.org/10.1111/j.1540-6261.1971.tb00591.x

Guesmi, K., Abid, I., Creti, A., & Chevallier, J. (2018). Oil Price Risk and Financial Contagion. The Energy Journal, 39(2). https://doi.org/10.5547/01956574.39.SI2.kgue

Hamdi, B., Aloui, M., Alqahtani, F., & Tiwari, A. (2019). Relationship between the oil price volatility and sectoral stock markets in oil-exporting economies: Evidence from wavelet nonlinear denoised based quantile and Granger-causality analysis. Energy Economics, 80, 536-552. https://doi.org/10.1016/j.eneco.2018.12.021

Hergety, S. W. (2012). Exchange market pressure, commodity prices, and contagion in Latin America. The Journal of International Trade & Economic Development, 23(1), 56-77. https://doi.org/10.1080/09638199.2012.679292

Hong, Y., Tu, J., & Zhou, G. (2007). Asymmetries in Stock Returns: Statistical Tests and Economic Evaluation. The Review of Financial Studies, 20(5), 1547-1581. https://doi.org/10.1093/rfs/hhl037

Kaminsky, G. L., & Reinhart, C. M. (2000). On crises, contagion, and confusion. Journal of International Economics, 51(1), 145-168. https://doi.org/10.1016/S0022-1996(99)00040-9

Kilian, L., & Vigfusson, R.J. (2011). Are the responses of the U.S. economy asymmetric in energy price increases and decreases? Quantitative Economics, 2, 419-453. https://doi.org/10.3982/QE99

Lahmiri, S., Uddin, G. S., & Bekiros, S. (2017). Clustering of short and long-term co-movements in international financial and commodity markets in wavelet domain. Physica A: Statistical Mechanics and its Applications, 486, 947-955. https://doi.org/10.1016/j.physa.2017.06.012

Li, J., Xie, C., & Long, H. (2019). The roles of inter-fuel substitution and inter-market contagion in driving energy prices: Evidences from China’s coal market. Energy Economics, 84, 104525. https://doi.org/10.1016/j.eneco.2019.104525

Lin, L., Kuang, Y., Jiang, Y., & Su, X. (2019). Assessing risk contagion among the Brent crude oil market, London gold market and stock markets: Evidence based on a new wavelet decomposition approach. The North American Journal of Economics and Finance, 50, 101035. https://doi.org/10.1016/j.najef.2019.101035

Lunde, A., & Timmermann, A. (2004). Duration dependence in stock prices: An analysis of bull and bear markets. Journal of Business & Economic Statistics, 22(3), 253-273. https://doi.org/10.1198/073500104000000136

Mahadeo, S. M. R., Heinlein, R., & Legrenzi, G. D. (2019). Energy contagion analysis: A new perspective with application to a small petroleum economy. Energy Economics, 80, 890-903. https://doi.org/10.1016/j.eneco.2019.02.007

Mensi, W., Ur Rehman, M., Al-Yahyaee, K. H., & Vo, X. V. (2023). Frequency dependence between oil futures and international stock markets and the role of gold, bonds, and uncertainty indices: Evidence from partial and multivariate wavelet approaches. Resources Policy, 80, 103161. https://doi.org/10.1016/j.resourpol.2022.103161

Pagan, A. R., & Sossounov, K. A. (2003). A simple framework for analysing bull and bear markets. Journal Applied Econometrics, 18(1), 511-532. https://doi.org/10.1002/jae.664

Pan, Z., Zheng, X., & Gong, Y. (2015). A model-free test for contagion between crude oil and stock markets. Economics Letters, 130, 1-4. https://doi.org/10.1016/j.econlet.2015.02.023

Pericoli, M., & Sbracia, M. (2003). A Primer on Financial Contagion. Journal of Economic Surveys, 17(4), 571-608. https://doi.org/10.1111/1467-6419.00205

Ranta, M. (2013). Contagion among major world markets: a wavelet approach. International Journal of Managerial Finance, 9(2), 133-149. http://dx.doi.org/10.1108/17439131311307556

Reboredo, J. C., & Rivera-Castro, M. A. (2013). A wavelet decomposition approach to crude oil price and exchange rate dependence. Economic Modelling, 32, 42-57. https://doi.org/10.1016/j.econmod.2012.12.028

Reboredo, J. C., & Rivera-Castro, M. A. (2014). Wavelet-based evidence of the impact of oil prices on stock returns. International Review of Economics & Finance, 29, 145-176. https://doi.org/10.1016/j.iref.2013.05.014

Roy, A., Anchal, S., & Soudeep, D. (2023). A wavelet-based methodology to compare the impact of pandemic versus Russia–Ukraine conflict on crude oil sector and its interconnectedness with other energy and non-energy markets. Energy Economics, 124, 106830. https://doi.org/10.1016/j.eneco.2023.106830

Samarakoon, L. P. (2011). Stock market interdependence, contagion, and the U.S. financial crisis: The case of emerging and frontier markets. Journal of International Financial Markets, Institutions and Money, 21(5), 724-742. https://doi.org/10.1016/j.intfin.2011.05.001

Sharpe, W. F. (1964). Capital asset prices: a theory of market equilibrium under conditions of risk. The Journal of Finance, 19(3), 425-442. https://doi.org/10.1111/j.1540-6261.1964.tb02865.x

Shrestha, K., Subramaniam, R., Peranginangin, Y., y Philip, S. S. S. (2018). Quantile hedge ratio for energy markets. Energy Economics, 71, 253-272. https://doi.org/10.1016/j.eneco.2018.02.020

Uribe, J. (2011). Contagio financiero: una metodología para su evaluación mediante coeficientes de dependencia asintótica. Lecturas de Economía, (75), 29-57. http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-25962011000200003&lng=en&tlng=es

Wen, X., Wei, Y., & Huang, D. (2012). Measuring contagion between energy market and stock market during financial crisis: A copula approach. Energy Economics, 34(5), 1435-1446. https://doi.org/10.1016/j.eneco.2012.06.021

XM. (s.f.). Precio de bolsa y escasez. https://www.xm.com.co/transacciones/cargo-por-confiabilidad/precio-de-bolsa-y-escasez

Zhao, Z., Wen, H., & Li, K. (2021). Identifying bubbles and the contagion effect between oil and stock markets: New evidence from China. Economic Modelling 94, 780-788. https://doi.org/10.1016/j.econmod.2020.02.018

Zhou, Z., Lin, L., & Li, S. (2018). International stock market contagion: A CEEMDAN wavelet analysis. Economic Modelling, 72, 333-352. https://doi.org/10.1016/j.econmod.2018.02.010

Zhu, H., Wu, H., Ren, Y., & Yu, D. (2022). Time-frequency effect of investor sentiment, economic policy uncertainty, and crude oil on international stock markets: evidence from wavelet quantile analysis. Applied Economics, 54(53), 6116-6146. https://doi.org/10.1080/00036846.2022.2057912

Cómo citar
Meneses Cerón, L. A., Orozco Álvarez, J. E., Mosquera Muñoz, J. C., & Vélez Rivera, V. M. (2024). Una nueva perspectiva del contagio financiero energético en Colombia: evidencia del análisis de ondas y dinámicas de comovimientos. Revista CEA, 10(22), e2578. https://doi.org/10.22430/24223182.2578

Descargas

Los datos de descargas todavía no están disponibles.
Publicado
2024-01-30
Sección
Artículos de investigación

Métricas

Crossref Cited-by logo