No. 44 (2016)
Artículos
Estrategias dinámicas de cobertura cruzada eficiente para el mercado del petróleo mexicano: Evidencia de dos modelos GARCH multivariados con término de corrección de error
Abstract
Este trabajo amplía los modelos de correlación condicional dinámica de Engle y de Tse y Tsui al incorporar términos de corrección de error en el diseño de estrategias de cobertura cruzada dinámicas de varianza mínima para el petróleo mexicano. Respecto a la reducción del riesgo, la evidencia empírica confirma el desempeño superior del modelo MGARCH-CCD de Engle cuando se utiliza el mercado de futuros del WTI como mecanismo de cobertura, en particular para los crudos Olmeca e Istmo. Los hallazgos tienen importantes implicaciones económicos-financieras para gobierno y consumidores, debido a la eficiencia y transparencia de las coberturas cruzadas implementadas para reducir el riesgo de bajos precios.
References
- Alizadeh, Amir; Kavussanos, Manolis, y Menachof, David (2004), "Hedging against bunker price fluctuations using petroleum futures contract: constant versus time-varying hedge ratios", Applied Economic, 36 (12), pp. 1337-1353.
- Assis, Andre (2013), "An Investigation of Some Hedging Strategies for Crude Oil Market", International Journal of Energy Economics and Policy, 3 (1), pp. 51-59.
- Baillie, Richard, y Myers, Robert (1991), "Bivariate GARCH estimation of the optimal commodity futures hedge", Journal of Applied Econometrics, 6 (2), pp. 109-124.
- Benet, Bruce (1992), "Hedge period length and ex ante futures hedging effectiveness: the case of foreign exchange rate cross hedges", Journal of Futures Markets, 12 (2), pp. 163-175.
- Chang, Chia-Lin; McAleer, Michael, y Tansuchat, Roengchai (2009), "Modeling conditional correlations for risk diversification in crude oil markets", Journal of Energy Markets, 2 (4), pp. 29-51.
- Chang, Chia-Lin; McAleer, Michael, y Tansuchat, Roengchai (2010), "Analyzing and forecasting volatility spillovers, asymmetries and hedging in major oil markets", Energy Economics, 32 (6), pp. 1445-1455.
- Chang, Chia-Lin; McAleer, Michael, y Tansuchat, Roengchai (2011), "Crude oil hedging strategies using dynamic multivariate GARCH", Energy Economics, 33 (5), pp. 912-923.
- Cecchetti, Stephen; Cumby, Robert, y Figlewski, Stephen (1988), "Estimation of the optimal futures hedge", The Review of Economics and Statistics, 70 (4), pp. 623-630.
- Choudhry, Taufiq (2009), "Short-run deviations and time-varying hedge ratios: evidence from agricultural futures markets", International Review of Financial Analysis, 18 (1-2), pp. 58-65.
- Daniel, James (2001), "Hedging government oil price risk", IMF Working Paper 01/185.
- Dávila, Javier; Núñez, José Antonio, y Ruiz, Antonio (2006), "Volatilidad del precio de la mezcla mexicana de exportación", Economía: Teoría y Práctica, 0 (25), pp. 37-57.
- Ederington, Louis (1979), "The hedging performance of the new futures markets", Journal of Finance, 34 (1), pp. 157-170.
- Engle, Robert (2002), "Dynamic conditional correlation: a new simple class of multivariate GARCH models", Journal of Business and Economics Statistics, 20 (3), pp. 339-350.
- Engle, Robert, y Granger, Clive (1987), "Co-integration and error correction: representation, estimation and testing", Econometrica, 55 (2), pp. 251-276.
- Engle, Robert, y Kroner, Kenneth (1995), "Multivariate simultaneous generalized arch", Econometric Theory, 11 (1), pp. 125-150.
- Figlewski, Stephen (1984), "Hedging performance and basis risk in stock index futures", Journal of Finance, 39 (3), pp. 657-669.
- Geman, Hélyette, y Kharoubi, Cécile (2008), "WTI crude oil futures in portfolio diversification: The time-to-maturity effect", Journal of Banking and Finance, 32 (12), pp. 2553-2559.
- Haigh, Michael, y Holt, Mattew (2002), "Crack spread hedging: accounting for time-varying spillovers in the energy futures markets", Journal of Applied Econometrics, 17 (3), pp. 269-289.
- Hansen, Peter (2005), "A test for superior predictive ability", Journal of Business and Economics Statistics, 34 (4), pp. 365-380.
- Hung, Jui; Wang, Yi; Chang, Matthew; Shih, Kuang, y Kao, Hsiu (2011), "Minimum variance hedging with bivariate regime-switching model for WTI crude oil", Energy, 36 (5), pp. 3050-3057.
- Ku, Yuan-hun Hsu; Chen, Ho-chyhuan, y Chen, Kuang-hua (2007), "On the application of dynamic conditional correlation model in the estimating optimal time-varying hedge ratios", Applied Economics Letters, 14 (7), pp. 503-509.
- Jalali, Ahmad, y Kazemi, Maryam (2006), "Price volatility, hedging and variable risk premium in the crude oil market", OPEC Review, 30 (2), pp. 55-70.
- Jesús, Raúl de (2014), "Análisis del grado de integración de México en los mercados internacionales del petróleo basado en la dinámica de las correlaciones", trabajo de investigación, Facultad de Economía, UAEM.
- Jesús, Raúl de, y Carvajal, Lidia (2013), "Modelación y predicción de la volatilidad con innovaciones de colas pesadas: evidencia empírica para los petróleos Maya y mezcla mexicana de exportación", Paradigma Económico, 5 (1), pp. 67-105.
- Kroner, Kenneth, y Sultan, Jahangir (1993), "Time-varying distribution and dynamic hedging with foreign currency and futures", Journal of Financial and Quantitative Analysis, 28 (4), pp. 535-551.
- Lanza, Alessandro; Manera, Matteo, y McAleer, Michael (2006), "Modeling dynamic conditional correlations in WTI oil forward and futures returns", Finance Research Letters, 3 (2), pp. 114-132.
- Lorenzo, Arturo; Durán, Rocío, y Armenta, Leticia (2012), "Conditional correlation between oil and stock markets returns: The case of Mexico", Revista Mexicana de Economía y Finanzas, 7 (1), pp. 49-63.
- Manera, Mateo; McAleer, Michael, y Grasso, Margherita (2006), "Modelling time-varying conditional correlations in the volatility of Tapis oil spot and forward returns", Applied Financial Economics, 16 (7), pp. 525-533.
- Moschini, Gian Carlo, y Myers, Robert (2002), "Testing for constant hedge ratios in commodity markets: a multivariate GARCH approach", Journal of Empirical Finance, 9 (5), pp. 589-603.
- Myers, Robert, y Thompson, Stanley (1989), "Generalized optimal hedge ratio estimation", American Journal of Agricultural Economics, 71 (4), pp. 858-868.
- Park, Tae, y Switzer, Lorne (1995), "Bivariate GARCH estimation of the optimal hedge ratios for stock index futures: a note", Journal of Futures Markets, 15 (1), pp. 61-67.
- Ripple, Ronald, y Moosa, Imad (2007), "Hedging effectiveness and futures contract maturity: the case of NYMEX crude oil futures", Applied Financial Economics, 17 (9), pp. 683-689.
- Salle, Andre de (2013), "An investigation of some hedging strategies for crude oil market", International Journal of Energy Economics and Policy, 3 (1), pp. 51-59.
- Toyoshima, Yuki, Nakaijima, Tadahiro, y Hamori, Shigeyuki (2013). "Crude oil hedging strategy: new evidence from the data of the financial crisis", Applied Financial Economics, vol. 23, núm. 12, pp. 1033-1041.
- Tse, Y. K., y Tsui Albert (2002), "A multivariate generalized autoregressive conditional heteroscedasticity model with time-varying correlations", Journal of Business and Economics Statistics, 20 (3), pp. 351-362.
- Wang, Yudong, y Wu, Chongfeng (2012), "Forecasting energy market volatility using GARCH models: Can multivariate models beat univariate models?", Energy Economics, 34 (6), pp. 2167-2181.