Financial contagion: The impact of the volatility of global stock exchanges on the Lima-Peru Stock Exchange

Contenido principal del artículo

Pedro Pablo Chambi Condori
https://orcid.org/0000-0002-8628-6825

Resumen

What happens in the international financial markets in terms of volatility, have an impact on the results of the local stock market financial markets, as a result of the spread and transmission of larger stock market volatility to smaller markets such as the Peruvian, assertion that goes in accordance with the results obtained in the study in reference. The statistical evaluation of econometric models, suggest that the model obtained can be used for forecasting volatility expected in the very short term, very important estimates for agents involved, because these models can contribute to properly align the attitude to be adopted in certain circumstances of high volatility, for example in the input, output, refuge or permanence in the markets and also in the selection of best steps and in the structuring of the portfolio of investment with equity and additionally you can view through the correlation on which markets is can or not act and consequently the best results of profitability in the equity markets. This work comprises four well-defined sections; a brief history of the financial volatility of the last 15 years, a tight summary of the background and a dense summary of the methodology used in the process of the study, exposure of the results obtained and the declaration of the main conclusions which led us mention research, which allows writing, evidence of transmission and spread of the larger stock markets toward the Peruvian stock market volatility, as in the case of the American market to the market Peruvian stock market with the coefficient of dynamic correlation of 0.32, followed by the Spanish market and the market of China. Additionally, the coefficient of interrelation found by means of the model dcc mgarch is a very important indicator in the structure of portfolios of investment with instruments that they quote on the financial global markets.

Descargas

Los datos de descargas todavía no están disponibles.

Métricas

Cargando métricas ...

Detalles del artículo

Cómo citar
Chambi Condori, P. P. (2020). Financial contagion: The impact of the volatility of global stock exchanges on the Lima-Peru Stock Exchange. Economía & Negocios, 1(1), 13–27. https://doi.org/10.33326/27086062.2019.1.896
Sección
Artículo original

Citas

Blanco, R. (2000). Efectos sobre la volatilidad del mercado bursátil de Introducción de los Contratos de Futuros y Opciones sobre IBEX 35. Spain.

Bejarano, L. (2014). Contagio Financiero en Mercados Latinoamericanos: una aplicación de DCC- Mgarch. Pontificia Universidad Javeriana of Colombia.

Bollerslev, T. (1986). Generalized Autoregresive Conditional Heteroskedasticity. Journal of Econometrics, 31:307-327.

Cargo, E. (2007). Doctoral Thesis: Ajuste de la calificación del Riesgo de Mercado de las empresas más activas que cotizan en la Bolsa Mexicana de Valores. México, México DF.

Chambi, P. (2017). La Volatilidad de los Mercados Financieros Globalizados: Impacto en la Bolsa de Va l o r e s d e L i m a – P e r ú . Q u i p u k a m a y o c . 2 5 ( 4 7 ) , 1 0 3 - 1 1 1 . doi:http://dx.doi.org/10.1538/quipu v25147.13808.

Chirinos, M. (2013). Medición de Contagio e Interdependencia Financieros Mediante Cópulas y Eventos Extremos en los Países de la América Latina.

Chou, R. (1992). Arch Modeling in Finance. Journal of Econometrics, volumen 52, número 1-2.

Ding, Z., R. Engle, and C. Granger (1993). A long memory property of stock market returns and a new model. Journal of Empirical Finance 1, 83–106.

Enders, W. (2015). Applied Econometric Time Series. United States: University of Alabama.

Engle. R. (1982). Autoregressive Condicional Heteroscedasticity with Estimates of the variance of United Kingdom Inflation. En Journal: Econométrica, Vol. 50, No. 4, Julio 1982.

Engle, R. (2002). Dynamic Conditional Correlation- a simple class of Multivariate Garch Models.Journal of Business and Economic Statistics, 20(3),339-350.

Engle, R. (2003). Risk and Volatility Econometric Models and Financial Practice. New York University, USA.

Glosten, L.; Jagannathan R.; Runkle, D. (1993). On the relation between the Expected Value and the Volatility of the Nominal Return on Stocks. The Journal of Finance, Vol. XLVIII, No. 5.

Hernández, S. (2009). Pronóstico y Volatilidad del IPyC de la Bolsa Mexicana de Valores. Universidad Cristóbal Colón of México.

Lara, J. (2004). Riesgo total. México: Prentice Hall.

Ludlow, J.; Mota, B. (2006). Volatilidad del IPC, Nasdaq y S&P500: Un modelo Garch Multivariado, Vol. XXI, 4. Pp.215-227. México.

Medina, H. (2017). Financial Contagion International in the Emerging Countries of Asia and Latin America.

Montenegro, A. (2010). Análisis de Series de Tiempo. Colombia: Javeriana.

Montengro, R. (2010). Medición de la Volatilidad en Series de Tiempo Financieras. Universidad Católica de Colombia. Revista Finanzas y Política Económica, Vol. 2, No. 01, enero – junio 2010.

Novales, A. (2013). Mediendo el Riesgo en los mercados financieros. Spain: Complutense University of Madrid.

Peña, D. (2010). Análisis de Series Temporales. Spain: Alianza Editorial

Pérez, C. (2010). Econometría de Series Temporales. México: editorial Pearson.

Perez, C. (2006). Econometría de las Series Temporales. México: Pearson.

Piffaut, P. y Rey, D. (2016). Integración, contagio financiero y riesgo bursátil. Spain: Bolsa de Barcelona.

Morales, G. (2015). Contagio financiero e interdependencia en América Latina: Análisis de transmisión de shocks financieros de Brasil hacia el resto de países latinoamericanos. Spain: Unidad Castilla de la Mancha.

Rodriguez J. (2004). Influencia del impacto de las noticias no esperadas sobre la volatilidad de los Valores Tecnológicos en España. Madrid España.

Serna, G. (2001). Estudio de la volatilidad de la Bolsa de Valores IBEX 35 de Madrid España 1991 – 2000, tesis doctoral, desarrollada en la Escuela de Postgrado de la Universidad Carlos III de Madrid – Spain.

Tse, Y. & Tsui, A. (2002). A generalized autorgresive conditional heterocedasticitymodel with time varying correlations. Journal of Business & Economic statistics, vol. 20, 3, pp.251-362.

Valls. R. (2014). Volatility in financial markets, the impact of the global financial crisis. Universidad de Barcelona, Spain.

Venegas, F. (2006). Riesgos Financieros y Económicos. México: Thomson.

Villarino, A. (2016). Riesgos de Mercado. Spain: Pirámide