Impactos de los Anuncios de Política Monetaria y del Vencimiento de Derivados sobre la Volatilidad del Tipo de Cambio del Peso Mexicano: Modelos GARCH y OCHL Range

Autores/as

  • Magnolia Miriam Sosa Castro Universidad Autónoma Metropolitana-Iztapalapa https://orcid.org/0000-0002-6597-5293
  • Maria Alejandra Cabello Rosales Universidad Nacional Autónoma de México
  • Edgar Ortiz Calisto Universidad Autónoma de México

DOI:

https://doi.org/10.17533/udea.le.n103a358443

Palabras clave:

maturity of derivatives, monetary policy decisions, foreign exchange volatility, GARCH models, range models

Resumen

El presente artículo tiene por objetivo analizar el impacto de los anuncios de cambios de tasas de interés y del vencimiento de los derivados en la volatilidad cambiaria en México. Para ello, primero se estima la volatilidad mediante cuatro medidas de volatilidad de rango (modelos OCLH) y tres extensiones de la familia GARCH (GARCH, TARCH y EGARCH) asumiendo distribución normal, t-Student y GED. Una vez estimadas las volatilidades, se estima el impacto de los anuncios de política monetaria y del vencimiento de derivados en el MexDer. Se emplean datos diarios de cierre, apertura, máximo y mínimo durante el periodo 2013-Mayo/2024. Los resultados arrojan que las medidas de volatilidad de rango infravaloran la volatilidad cambiaria. Aparentemente, los vencimientos de los derivados y los anuncios de la política monetaria tienen un efecto negativo en las volatilidades de rango/intradía, pero no en la volatilidad condicional que contempla persistencia y asimetría en la volatilidad.

|Resumen
= 189 veces | PDF (ENGLISH)
= 232 veces|

Descargas

Los datos de descargas todavía no están disponibles.

Biografía del autor/a

Magnolia Miriam Sosa Castro, Universidad Autónoma Metropolitana-Iztapalapa

Profesora Asociada de Carrera

Departamento de EconomíaDivisión de Ciencias Sociales y Humanidades
Universidad Autónoma Metropolitana-Iztapalapa

Maria Alejandra Cabello Rosales, Universidad Nacional Autónoma de México

Full-Time Professor

Graduate Program in Administrative Sciences

National Autonomous University of Mexico

Edgar Ortiz Calisto, Universidad Autónoma de México

Full-Time Professor

 Faculty of Social and Political Sciences

National Autonomous University of Mexico

Citas

Alizadeh, S., Brandt, M. W., & Diebold, F. X. (1999). Range-based Estimation of Stochastic Volatility Models or Exchange Rate Dynamics Are More Interesting Than You Think [Wharton FIC Working Paper No. 00-28]. https://doi.org/10.2139/ssrn.231165

Ahsanullah, M., Kibria, B. G., & Shakil, M. (2014). Normal and student's t distributions and their applications (Vol. 4). Paris, France:: Atlantis Press. https://doi.org/10.2991/978-94-6239-061-4

Altman, D. G., & Bland, J. M. (1995). Statistics Notes: The Normal Distribution. BMJ: British Medical Journal, 310(6975), 298. https://doi.org/10.1136/bmj.310.6975.298

Arı, Y. (2022). Chasing Volatility of USD/TRY Foreign Exchange Rate: The Comparison of CARR, EWMA, and GARCH Models. EKOIST Journal of Econometrics and Statistics (37), 107-127. https://doi.org/10.26650/ekoist.2022.37.1113670

Banco de México (n.d.) Serie histórica diaria del tipo de cambio peso-dólar - (CF373). Accessed in March 16 2024. https://www.banxico.org.mx/SieInternet/consultarDirectorioInternetAction.do?sector=6&accion=consultarCuadro&idCuadro=CF373&locale=es

Bernal-Ponce, L. A., Castillo-Ramírez, C. E., & Venegas-Martinez, F. (2020). Impact of Exchange Rate Derivatives on Stocks in Emerging Markets. Journal of Business Economics and Management, 21(2), 610-626. https://doi.org/10.3846/jbem.2020.12220

Bianchi, J., Bigio, S., & Engel, C. (2021). Scrambling for Dollars: International Liquidity, Banks and Exchange Rates (NBER working paper No. w29457). National Bureau of Economic Research. https://doi.org/10.3386/w29457

Calderón, C., & Kubota, M. (2018). Does Higher Openness Cause More Real Exchange Rate Volatility? Journal of International Economics, 110, 176-204. https://doi.org/10.1016/j.jinteco.2017.08.002

Chan, L., & Lien, D. (2003). Using High, Low, Open, and Closing Prices to Estimate the Effects of Cash Settlement on Futures Prices. International Review of Financial Analysis, 12(1), 35-47. https://doi.org/10.1016/s1057-5219(02)00125-4

Cho, J. B., Min, H. G., & McDonald, J. A. (2020). Volatility and Dynamic Currency Hedging. Journal of International Financial Markets, Institutions and Money, 64, 101163. https://doi.org/10.1016/j.intfin.2019.101163

Darie, F. C., & Tache, I. (2022). Managing Exchange Rate Volatility during Political Crises. Bulletin of the Transilvania University of Brasov. Series V: Economic Sciences, 15 (64), 83–96. https://doi.org/10.31926/but.es.2022.15.64.1.9

Demirer, R., Gabauer, D., Gupta, R., & Ji, Q. (2021). Monetary Policy and Speculative Spillovers in Financial Markets. Research in International Business and Finance, 56, 101373. https://doi.org/10.1016/j.ribaf.2020.101373

Dinga, B., Claver, J. H., Cletus, K. K., & Che, S. F. (2023). Modeling and Predicting Exchange Rate Volatility: Application of Symmetric GARCH and Asymmetric EGARCH and GJR-GARCH Models. Journal of the Cameroon Academy of Sciences, 19(2), 155-178. https://doi.org/10.4314/jcas.v19i2.6

Escobar, R. G. (2024) Volatilidad del tipo de cambio de referencia en Centroamérica y República Dominicana (CARD) en el periodo 2016-2023. Notas Económicas Regionales. Secretaría Ejecutiva del Consejo Monetario Centroamericano. No. 156. https://www.secmca.org/wp-content/uploads/2024/04/Volatilidad_del_tipo_de_cambio_de_referencia_en_Centroamerica_y_Republica-Dominicana_CARD.pdf

Esquivel, G., & Larraín B, F. (2002). The Impact of G-3 Exchange Rate Volatility on Developing Countries [CID Working Paper Series No. 86]. Center for International Development at Harvard University. https://ideas.repec.org/p/cid/wpfacu/86.html

Fasanya, I. O., Adekoya, O. B., & Adetokunbo, A. M. (2021). On the Connection between Oil and Global Foreign Exchange Markets: The Role of Economic Policy Uncertainty. Resources Policy, 72, 102110. https://doi.org/10.1016/j.resourpol.2021.102110

Floros, C. (2009). Modelling Volatility Using High, Low, Open and Closing Prices: Evidence from Four S&P Indices. International Research Journal of Finance and Economics, 28, 198-206. https://core.ac.uk/download/pdf/52391988.pdf

Gallant, A. R., Hsu, C. T., & Tauchen, G. (1999). Using Daily Range Data to Calibrate Volatility Diffusions and Extract the Forward Integrated Variance. Review of Economics and Statistics, 81(4), 617-631. https://doi.org/10.1162/003465399558481

Garman, M. B., & Klass, M. J. (1980). On the Estimation of Security Price Volatilities from Historical Data. Journal of Business, 53 (1), 67-78. https://doi.org/10.1086/296072

Guo, Y. (2022). Diminutives at Word Level and Root Level: -er in Colloquial Beijing Mandarin [conference] University of Cambridge. https://doi.org/10.21942/uva.20368155

Heynen, R. C., & Kat, H. M., 1994. Volatility Prediction: A Comparison of the Stochastic Volatility, GARCH (1,1), and EGARCH (1,1) Models. The Journal of Derivatives 2(2), 50–65. https://doi.org/10.3905/jod.1994.407912

Hwang, S., & Satchell, S., 2000. Market Risk and the Concept of Fundamental Volatility: Measuring Volatility Across Asset and Derivative Markets and Testing for the Impacts of Derivatives Markets on Financial Markets. Journal of Banking and Finance 24(5), 759–785. http://doi.org/10.1016/S0378-4266(99)00065-5

Itskhoki, O., & Mukhin, D. (2023). Optimal Exchange Rate Policy [NBER working paper No. w31933]. National Bureau of Economic Research. https://doi.org/10.3386/w31933

Iyke, B. N., Phan, D. H. B., & Narayan, P. K. (2022). Exchange Rate Return Predictability in Times of Geopolitical Risk. International Review of Financial Analysis, 81, 102099. https://doi.org/10.1016/j.irfa.2022.102099

Keefe, H. G. (2020). The Impact of Exchange Rate Volatility on Inflation Targeting Monetary Policy in Emerging and Advanced Economies. International Finance, 23(3), 417-433. https://doi.org/10.1111/infi.12368

Khan, M., Kayani, U. N., Khan, M., Mughal, K. S., & Haseeb, M. (2023). COVID-19 pandemic & financial market volatility; evidence from GARCH models. Journal of Risk and Financial Management, 16(1), 50. https://doi.org/10.3390/jrfm16010050

Kim, S., Shephard, N., & Chib, S. (1998) Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models. Review of Economics Studies, 65, 361-393.

https://doi.org/10.1111/1467-937X.00050

Kostika, E., & Laopodis, N. T. (2020). Dynamic Linkages Among Cryptocurrencies, Exchange Rates and Global Equity Markets. Studies in Economics and Finance, 37(2), 243-265. https://doi.org/10.1108/sef-01-2019-0032

Kuncoro, H. (2020). Interest Rate Policy and Exchange Rates Volatility Lessons from Indonesia. Journal of Central Banking Theory and Practice, 9(2), 19-42. https://doi.org/10.2478/jcbtp-2020-0012

Liao, G., & Zhang, T. (2021). The Hedging Channel of Exchange Rate Determination [working paper]. https://doi.org/10.2139/ssrn.3612395

Longmore, R., & Robinson, W. (2004). Modelling and forecasting exchange rate dynamics: an application of asymmetric volatility models [Working Paper No. WP2004, Research Services Department]. Bank of Jamaica, , 3, 191-217. https://boj.org.jm/uploads/pdf/papers_pamphlets/papers_pamphlets_modelling_and_forecasting_exchange_rate_dynamics__an_application_of_aysmmetric_volatility_models.pdf

Mallqui, D. C., & Fernandes, R. A. (2019). Predicting the Direction, Maximum, Minimum and Closing Prices of Daily Bitcoin Exchange Rate Using Machine Learning Techniques. Applied Soft Computing, 75, 596-606. https://doi.org/10.1016/j.asoc.2018.11.038

May, C., Farrell, G., & Rossouw, J. (2018). Do Monetary Policy Announcements Affect Exchange Rate Returns and Volatility of Returns? Some Evidence from High‐Frequency intra‐Day South African Data. South African Journal of Economics, 86(3), 308-338. https://doi.org/10.1111/saje.12196

Morina, F., Hysa, E., Ergün, U., Panait, M., & Voica, M. C. (2020). The Effect of Exchange Rate Volatility on Economic Growth: Case of the CEE Countries. Journal of Risk and Financial Management, 13(8), 177. https://doi.org/10.3390/jrfm13080177

Naimy, V., Haddad, O., Fernández-Avilés, G., & El Khoury, R. (2021). The Predictive Capacity of GARCH-type Models in Measuring the Volatility of Crypto and World Currencies. PloS One, 16(1), e0245904.

https://doi.org/10.1371/journal.pone.0245904

Nelson, D. B. (1991). Conditional Heteroskedasticity in Asset Returns: A New Approach. Econometrica: Journal of the Econometric Society, 59(2), 347-370. https://doi.org/10.2307/2938260

Nor, M. I., Masron, T. A., & Alabdullah, T. T. Y. (2020). Macroeconomic Fundamentals and the Exchange Rate Volatility: Empirical Evidence from Somalia. SAGE Open, 10(1), 2158244019898841. https://doi.org/10.1177/2158244019898841

Ogundipe, A. A., Alabi, J., Asaleye, A. J., & Ogundipe, O. M. (2019). Exchange Rate Volatility and Foreign Portfolio Investment in Nigeria. Investment Management & Financial Innovations, 16(3), 241. https://doi.org/10.21511/imfi.16(3).2019.22

Olamide, E., Ogujiuba, K., & Maredza, A. (2022). Exchange Rate Volatility, Inflation And Economic Growth in Developing countries: Panel Data Approach for SADC. Economies, 10(3), 67.

https://doi.org/10.3390/economies10030067

Parkinson, M. (1980). The Extreme Value Method for Estimating the Variance of the Rate of Return. Journal of Business, 53 (1), 61-65. https://doi.org/10.1086/296071

Rogers, L. C. G., & Satchell, S. E. (1991). Estimating Variance from High, Low and Closing Prices. The Annals of Applied Probability, 1(4), 504-512.

https://doi.org/10.1214/aoap/1177005835

Rogers, L. C. G., Satchell, S. E., & Yoon, Y., (1994). Estimating the Volatility of Stock Prices: A Comparison of Methods that Use High and Low Prices. Applied Financial Economics 4(3), 241–247. https://doi.org/10.1080/758526905

Ruslan, S. M. M., & Mokhtar, K. (2021). Stock Market Volatility on Shipping Stock Prices: GARCH Models Approach. The Journal of Economic Asymmetries, 24, e00232. https://doi.org/10.1016/j.jeca.2021.e00232

Sheraz, M., Dedu, S., & Preda, V. (2022). Volatility Dynamics of Non-Linear Volatile Time Series and Analysis of Information Flow: Evidence from Cryptocurrency Data. Entropy, 24(10), 1410. https://doi.org/10.3390/e24101410

Singh, A., & Patra, G. (2022). Impact of Currency Futures on Spot Rate Volatility in Indian Foreign Exchange Market. International Journal of Health Sciences, 6(S6), 7431–7448. https://doi.org/10.53730/ijhs.v6nS6.11944

Sugiharti, L., Esquivias, M. A., & Setyorani, B. (2020). The Impact of Exchange Rate Volatility on Indonesia's Top Exports to the Five Main Export Markets. Heliyon, 6(1). https://doi.org/10.1016/j.heliyon.2019.e03141

Wiśniewska, M., Wyłomańska, A. (2017). GARCH Process with GED Distribution. In F. Chaari, J. Leskow, A. Napolitano, R. Zimroz, & A. Wylomanska (Eds.) Cyclostationarity: Theory and Methods III. Applied Condition Monitoring (pp. 83-103), vol 6. Springer. https://doi.org/10.1007/978-3-319-51445-1_6

Yabu, N., & Kimolo, D. (2020). Exchange rate volatility and its implications on macroeconomic variables in East African countries. Applied Economics and Finance, 7(3), 145-171. https://doi.org/10.11114/aef.v7i3.4859

Descargas

Publicado

09-05-2025

Cómo citar

Sosa Castro, M. M., Cabello Rosales, M. A., & Ortiz Calisto, E. (2025). Impactos de los Anuncios de Política Monetaria y del Vencimiento de Derivados sobre la Volatilidad del Tipo de Cambio del Peso Mexicano: Modelos GARCH y OCHL Range. Lecturas De Economía, (103), 47–75. https://doi.org/10.17533/udea.le.n103a358443

Número

Sección

Artículos

Artículos similares

También puede {advancedSearchLink} para este artículo.