Análisis Correlacional de los índices de renta variable del MILA en relación con el S&P 500 y el Dow Jones (2011–2021)
| dc.contributor.advisor | Montoya Aldawe, Giovanni Albeiro | |
| dc.contributor.advisor | Mendoza, Edgar Mauricio | |
| dc.contributor.author | Maldonado Becerra, Jeyson Steven | |
| dc.contributor.cvlac | Maldonado Becerra, Jeyson Steven [0002133521] | spa |
| dc.contributor.cvlac | Montoya Aldawe, Giovanni Albeiro [0002136099] | spa |
| dc.contributor.orcid | Maldonado Becerra, Jeyson Steven [/0009-0000-7513-6349] | spa |
| dc.coverage.campus | UNAB Campus Bucaramanga | spa |
| dc.coverage.spatial | Colombia | spa |
| dc.date.accessioned | 2023-10-30T20:51:23Z | |
| dc.date.available | 2023-10-30T20:51:23Z | |
| dc.date.issued | 2023-10-11 | |
| dc.degree.name | Magíster en Finanzas | spa |
| dc.description.abstract | Este estudio examina la relación entre los índices bursátiles estadounidenses de renta variable (S&P 500 y Dow Jones) y los índices del MILA (COLCAP, S&P IPSA, S&P/BMV IPC y S&P PERU GENERAL) durante el periodo de 2011 a 2021. Se investiga la influencia de factores internos y externos en las fluctuaciones de los precios de los índices, utilizando técnicas de análisis estadístico, como regresión, correlación y co-movimiento. Se establecen modelos matemáticos para cuantificar y analizar la influencia de estos factores, brindando una comprensión integral del comportamiento de los índices en respuesta a las condiciones del mercado y la economía. El análisis de los índices frente a las diversas variables macroeconómicas destaca la importancia del petróleo, oro y cobre, junto con otros factores en los movimientos de los mercados del MILA. La regresión cuantifica proporcionó una visión detallada de estas relaciones, destacando la necesidad de una consideración cuidadosa de la influencia del petróleo en el mercado colombiano y resaltando la interconexión estrecha entre los mercados del MILA. | spa |
| dc.description.abstractenglish | This study examines the relationship between the U.S. equity stock indexes (S&P 500 and Dow Jones) and the MILA indexes (COLCAP, S&P IPSA, S&P/BMV IPC and S&P PERU GENERAL) during the period from 2011 to 2021. The influence of internal and external factors on the price fluctuations of the indexes is investigated, using statistical analysis techniques, such as regression, correlation and co-movement. Mathematical models are established to quantify and analyze the influence of these factors, providing a comprehensive understanding of the behavior of the indexes in response to market and economic conditions. The analysis of the indices versus the various macroeconomic variables highlights the importance of oil, gold and copper, along with other factors in the movements of the MILA markets. The quantile regression provided a detailed view of these relationships, highlighting the need for careful consideration of the influence of oil on the Colombian market and highlighting the close interconnectedness between MILA markets. | spa |
| dc.description.degreelevel | Maestría | spa |
| dc.description.learningmodality | Modalidad Presencial | spa |
| dc.description.tableofcontents | RESUMEN ........................................................................................................................................... 6 ABSTRACT .......................................................................................................................................... 7 LISTA DE TABLAS .......................................................................................................................... 11 LISTA DE FIGURAS ........................................................................................................................ 14 INTRODUCCIÓN ............................................................................................................................. 16 CAPÍTULO I. PROBLEMA U OPORTUNIDAD ........................................................................ 19 1.1. DESCRIPCIÓN DEL PROBLEMA ........................................................................................... 19 1.2. ANTECEDENTES ................................................................................................................. 26 1.3. PREGUNTA DE INVESTIGACIÓN .......................................................................................... 27 1.4. OBJETIVOS ........................................................................................................................ 28 1.4.1 Objetivo general ........................................................................................................... 28 1.4.2 Objetivos específicos ................................................................................................... 28 1.5. JUSTIFICACIÓN .................................................................................................................. 28 CAPÍTULO II. MARCO TEÓRICO Y ESTADO DEL ARTE ................................................... 32 2.1. MARCO TEÓRICO ...................................................................................................................... 32 2.1.1 Mercados Financieros ....................................................................................................... 32 2.1.2 Índices bursátiles ............................................................................................................... 33 2.1.2.1 Amplitud .................................................................................................................................... 33 2.1.2.2 Ponderación ............................................................................................................................... 34 2.1.3 Herramientas de análisis estadístico ................................................................................. 38 2.1.4 Entorno económico ........................................................................................................... 41 2.2 ESTADO DEL ARTE ..................................................................................................................... 43 CAPÍTULO III. METODOLOGÍA ................................................................................................ 47 3.1 METODOLOGÍA DE INVESTIGACIÓN ........................................................................................... 47 3.1.2 Variables externas e internas ............................................................................................. 49 3.2 POBLACIÓN Y MUESTRA ............................................................................................................ 50 3.3 DESCRIPCIÓN DE LAS VARIABLES .............................................................................................. 51 3.3.1 Brent Crude Oil (Brent) .................................................................................................... 52 3.3.2 Gold ................................................................................................................................... 52 3.3.3 Copper ............................................................................................................................... 53 3.3.4 US Coffee .......................................................................................................................... 53 3.3.5 VIX .................................................................................................................................... 54 3.3.6 DXY .................................................................................................................................. 54 3.3.7 Elections ............................................................................................................................ 55 3.3.8 Covid Presence .................................................................................................................. 55 3.4 METODOLOGÍA DE ANÁLISIS ECONOMÉTRICO ........................................................................... 56 3.5 DESCRIPCIÓN DE LOS MODELOS ECONOMÉTRICOS .................................................................... 58 3.5.1 Colombia representado por el COLCAP (lr_col) ............................................................. 60 3.5.1 México representado por el S&P/BMV IPC (lr_mxn) ...................................................... 60 3.5.1 Chile representado por el S&P IPSA (lr_chi) ................................................................... 61 3.5.1 Perú representado por el S&P PERU GENERAL (lr_per) ............................................... 61 3.6 INSTRUMENTOS DE RECOLECCIÓN DE DATOS ............................................................................ 62 3.7 ANÁLISIS DE DATOS .................................................................................................................. 62 CAPÍTULO IV. RESULTADOS ...................................................................................................... 65 4.1 ÍNDICES BURSÁTILES .................................................................................................................. 65 4.1.1 Dow Jones ......................................................................................................................... 65 4.1.1.1 Datos Básicos ............................................................................................................................ 66 4.1.1.2 Construcción .............................................................................................................................. 67 4.1.1.3 Comportamiento ........................................................................................................................ 68 4.1.2 S&P 500 ............................................................................................................................ 70 4.1.2.1 Datos básicos ............................................................................................................................. 71 4.1.2.2 Construcción .............................................................................................................................. 72 4.1.2.3 Comportamiento ........................................................................................................................ 73 4.1.3 S&P/BMV IPC .................................................................................................................. 74 4.1.3.1 Datos básicos ............................................................................................................................. 75 4.1.3.2 Construcción .............................................................................................................................. 76 4.1.3.2 Comportamiento ........................................................................................................................ 78 4.1.4 COLCAP ........................................................................................................................... 80 4.1.4.1 Datos básicos ............................................................................................................................. 80 4.1.4.2 Construcción .............................................................................................................................. 81 4.1.2.3 Comportamiento .................................................................................................................... 82 4.1.5 S&P IPSA ......................................................................................................................... 84 4.1.5.1 Datos básicos ............................................................................................................................. 85 4.1.5.2 Construcción .............................................................................................................................. 86 4.1.5.3 Comportamiento ........................................................................................................................ 88 4.1.6 S&P Peru General ........................................................................................................ 90 4.1.6.1 Datos básicos ............................................................................................................................. 91 4.1.6.2 Construcción .............................................................................................................................. 91 4.1.6.3 Comportamiento ........................................................................................................................ 93 4.2 ANÁLISIS ESTADÍSTICO .......................................................................................................... 94 4.2.1 Estadísticos descriptivos ............................................................................................................... 94 4.2.2 Correlaciones ................................................................................................................................ 96 4.2.3 Regresión cuantílica ..................................................................................................................... 98 4.2.3.1 Dependencia entre el MILA y los mercados de materias primas .............................................. 98 4.2.3.2 Dependencia entre el MILA y el mercado bursátil mundial .................................................... 104 4.2.3.3 Dependencia entre el MILA, VIX, DXY, elecciones y COVID-19 ........................................ 107 CAPITULO V. CONCLUSIONES ................................................................................................ 110 BIBLIOGRAFÍA ............................................................................................................................. 116 ANEXOS ........................................................................................................................................... 136 | spa |
| dc.format.mimetype | application/pdf | spa |
| dc.identifier.instname | instname:Universidad Autónoma de Bucaramanga - UNAB | spa |
| dc.identifier.reponame | reponame:Repositorio Institucional UNAB | spa |
| dc.identifier.repourl | repourl:https://repository.unab.edu.co | spa |
| dc.identifier.uri | http://hdl.handle.net/20.500.12749/22503 | |
| dc.language.iso | spa | spa |
| dc.publisher.deparment | CORE School of Management | eng |
| dc.publisher.faculty | Facultad Economía y Negocios | spa |
| dc.publisher.grantor | Universidad Autónoma de Bucaramanga UNAB | spa |
| dc.publisher.program | Maestría en Finanzas | spa |
| dc.relation.references | Abugri, B. A. (2008). Empirical relationship between macroeconomic volatility and stock returns: Evidence from Latin American markets. International Review of Analysis, 17(2), 396-410. https://doi.org/10.1016/j.irfa.2006.09.002 | spa |
| dc.relation.references | Adeleke, A. I., & Gbadebo, A. O. (2012). Macroeconomic policy and returns on equities: Empirical evidence from the Nigerian capital market. International Research Journal of Finance and Economics, 83, 106-119. | spa |
| dc.relation.references | Alonso, A. R. D. (2014). Inversiones en Renta Variable Fundamentos y aplicaciones al mercado accionario colombiano. Fondo Editorial Universidad EAFIT. | spa |
| dc.relation.references | Araujo, E. (2009). Macroeconomic shocks and the co-movement of stock returns in Latin America. Emerging Markets http://dx.doi.org/10.1016/j.ememar.2009.08.003 Review, 10, 331-344. | spa |
| dc.relation.references | Au Yong, H. H., & Laing, E. (2021). Stock market reaction to COVID-19: Evidence from U.S. firms’ International Exposure. International Review of Financial Analysis, 76, 101656. https://doi.org/10.1016/j.irfa.2020.101656 | spa |
| dc.relation.references | Ávila, A., & Vargas, G. (2005). Distribución del ingreso. Economía UNAM, 3, 1-12. | spa |
| dc.relation.references | Banco Mundial. (2021). Datos sobre las cuentas nacionales del Banco Mundial y archivos de datos sobre cuentas nacionales de la OCDE. PIB (US$ a precios actuales). Recuperado de: https://datos.bancomundial.org/indicador/NY.GDP.MKTP.CD | spa |
| dc.relation.references | Banco Mundial. Federación Mundial de Bolsas de base de datos. (2020). Capitalización en el mercado de empresas nacionales que cotizan en bolsa (% del PIB). Recuperado de: https://datos.bancomundial.org/indicador/CM.MKT.LCAP.GD.ZS | spa |
| dc.relation.references | Badshah, I., Demirer, R., & Suleman, T. (2018). The effect of economic policy uncertainty on stock-commodity correlations and its implications on optimal hedging. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3240962 | spa |
| dc.relation.references | Barrios Arevalo, F., & Beltrán Durán, C. A. (2007). Evolución del mercado de capitales colombiano: un enfoque en el mercado accionario y sus efectos sobre el crecimiento económico a partir de 1990 hasta 2006. | spa |
| dc.relation.references | Bauer, R. J., & Dahlquist, J. R. (1998). Technical Markets Indicators: Analysis & Performance (Vol. 64). John Wiley & Sons. | spa |
| dc.relation.references | Bejarano Castillo, L., Díaz Tinoco, E., & Mesa Caballero, J. (2019). Caracterización del mercado de capitales colombiano: Una perspectiva general. | spa |
| dc.relation.references | Bekaert, G., & Hoerova, M. (2013). The VIX, the Variance Premium and Stock Market Volatility. https://doi.org/10.3386/w18995 | spa |
| dc.relation.references | Bjornland, H. C. & Leimtemo, K. (2009). Identifying the interdependence between US monetary policy and the stock market. Journal of Monetary Economics, 56, 275-282. | spa |
| dc.relation.references | Black, A., Fraser, P., & Groenewold, N. (2003). U.S. Stock prices and macroeconomic fundamentals. International Review of Economics and Finance, 12, 345-367. http://dx.doi.org/10.1016/S1059-0560(03)00016-9 | spa |
| dc.relation.references | Bos, R. J. (2000). Index calculation primer. Standard & Poor’s. | spa |
| dc.relation.references | Botero Guzmán, D., Vecino Arenas, C. E., Viana Barceló, R. A., & Vargas Villamizar, A. J. (2023). Integración bursátil en los países miembros del Mercado Integrado Latinoamericano (MILA). Revista Gestión y Desarrollo Libre, 8(16), 1-24. | spa |
| dc.relation.references | Branch, B. (1976). The predictive power of stock market indicators. Journal of Financial and Quantitative Analysis, 11(2), 269-285. | spa |
| dc.relation.references | Brun, X., Elvira, O., & Puig, X. (2008). Mercado de Renta variable y mercado de divisas: Las Bolsas de Valores: Mercados de rentas variables y de divisas y las formas de Analizarlo. Profit. | spa |
| dc.relation.references | Buncic, D., & Moretto, C. (2014). Forecasting copper prices with dynamic averaging and selection models. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2482015 | spa |
| dc.relation.references | Buy, A. S. T. H. T. (2015). The Dow Jones Industrial Average. | spa |
| dc.relation.references | Calle Ruiz, S. A. (2021). La eficiencia del mercado de valores en el Perú: 1999-2019. | spa |
| dc.relation.references | Calvo, S. G., & Reinhart, C. (1996). Capital flows to Latin America: is there evidence of contagion effects? Available at SSRN 636120. | spa |
| dc.relation.references | Campbell, J., Lettau, M., Malkiel, B., & Xu, Y. (2000). Have Individual Stocks Become More Volatile? An Empirical Exploration of Idiosyncratic Risk. https://doi.org/10.3386/w7590 | spa |
| dc.relation.references | Canales, M. P. (2020). Los índices bursátiles: relevancia del Dow Jones, S&P 500 y Nasdaq en la economía. “Apuntes de Economía y Sociedad”, 1(2), 11-26. https://doi.org/10.5377/aes.v1i2.11443 | spa |
| dc.relation.references | Cardona, L., Gutiérrez, M., & Agudelo, D. A. (2017). Volatility transmission between US and Latin American stock markets: Testing the decoupling hypothesis. Research in International Business and https://doi.org/10.1016/j.ribaf.2016.07.008 | spa |
| dc.relation.references | Castillo Ramírez, J. W. (2021). Factores determinantes en las decisiones de inversión y desarrollo de los mercados de países emergentes: periodo 2011-2015. | spa |
| dc.relation.references | Castro Albarracín, N. S. (2015). Desempeño de Los Mercados Bursátiles de Los Países Que Integran Mila Frente a Los Mercados de Estados Unidos, Inglaterra y Japón Con Una Visión Retrospectiva En El https://doi.org/10.15332/tg.mae.2020.0693 Periodo 2007 - 2014. | spa |
| dc.relation.references | Cepal, N. (2020). Impacto del COVID-19 en la economía de los Estados Unidos y respuestas de política. | spa |
| dc.relation.references | Céspedes López, J. B. (2017). Propuesta de cálculo de índice bursátil para el mercado financiero boliviano. Revista Perspectivas, (39), 43-74. | spa |
| dc.relation.references | Čihák, M., Muñoz, S., Sharifuddin, S. T., & Tintchev, K. (2012). Informes de estabilidad financiera: ¿cuál es su utilidad? Boletín del CEMLA, 58(3), 181-231. | spa |
| dc.relation.references | Chang, H.-W., Chang, T., Ling, Y. H., & Yang, Y.-L. (2023). Dynamical linkages between the Brent Oil Price and stock markets in BRICS using quantile connectedness approach. Finance Research https://doi.org/10.1016/j.frl.2023.103748 Letters, 54, 103748. | spa |
| dc.relation.references | Chaudhary, R., Bakhshi, P., & Gupta, H. (2020). Volatility in international stock markets: An empirical study during COVID-19. Journal of Risk and Financial Management, 13(9), 208. https://doi.org/10.3390/jrfm13090208 | spa |
| dc.relation.references | Chen, J. M., & Rehman, M. (2021). Clustering Commodity markets in space and time: Clarifying returns, volatility, and trading regimes through unsupervised machine learning. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3791138 | spa |
| dc.relation.references | Christofi, A., & Pericli, A. (1999). Correlation in price changes and volatility of major Latin American stock markets. Journal of Multinational Financial Management, 9(1), 79 93. https://doi.org/10.1016/S1042-444X(98)00047-4 | spa |
| dc.relation.references | Chuliá, H., Guillén, M., & Uribe, J. M. (2017). Spillovers from the United States to Latin American and G7 stock markets: A VAR quantile analysis. Emerging Markets Review, 31, 32-46. https://doi.org/10.1016/j.ememar.2017.01.001 | spa |
| dc.relation.references | Colby, R. W. (2003). The encyclopedia of technical market indicators. McGraw-Hill. | spa |
| dc.relation.references | Contessi, S., & De Pace, P. (2021). The international spread of COVID-19 stock market collapses. Finance Research https://doi.org/10.1016/j.frl.2020.101894 Letters, 42, 101894. | spa |
| dc.relation.references | Coronado, S., Rojas, O., Romero-Meza, R., & Venegas-Martínez, F. (2016). Un estudio de co-movimiento entre las bolsas de valores de Estados Unidos de Norteamérica y América Latina: Una perspectiva de la bicorrelación cruzada. DYNA (Colombia), 83(196), 143-148. | spa |
| dc.relation.references | Corrado, C. J., & Jordan, B. D. (2005). Fundamentals of investments: valuation and management. | spa |
| dc.relation.references | Cortés Villafradez, R. A., & Hernández Luna, Y. (2014). Impacto del Desarrollo del Sistema Financiero en el crecimiento económico en Países Emergentes Durante El Periodo 2001-2011. Equidad y Desarrollo, (22), 99. https://doi.org/10.19052/ed.3252 | spa |
| dc.relation.references | Dai, Z., Zhou, H., & Dong, X. (2020). Forecasting stock market volatility: the role of gold and exchange rate. AIMS Mathematics, 5(5), 5094-5105. | spa |
| dc.relation.references | Diamandis, P. F. (2008). Financial liberalization and changes in the dynamic behavior of emerging market volatility: Evidence from four Latin American equity markets. Research in International business https://doi.org/10.1016/j.ribaf.2008.02.004 and Finance, 22(3), 362-377. | spa |
| dc.relation.references | Díaz de Rada, V. (2018). Técnicas Multivariantes de Interdependencia. Casos Reales y Prácticos de Investigación. | spa |
| dc.relation.references | Domínguez Morales, S. B. (2020). Análisis de la Bolsa de valores de México: composición, índices y funcionamiento. | spa |
| dc.relation.references | Eckett, S., & Pearce, C. (2008). Harriman's Money Miscellany: A Collection of Financial Facts and Corporate Curiosities. Harriman House Limited. | spa |
| dc.relation.references | Ederer, S., Heumesser, C., & Staritz, C. (2016). Financialization and commodity prices – an empirical analysis for coffee, cotton, wheat and oil. International Review of Applied Economics, 30(4), 462–487. https://doi.org/10.1080/02692171.2015.1122745 | spa |
| dc.relation.references | Efron, B., & Tibshirani, R. (1986). Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy. Statistical science, 54-75. http://www.jstor.org/stable/2245500 | spa |
| dc.relation.references | Elbaum, M. A. (2006). Administración de carteras de inversión. Macchi. | spa |
| dc.relation.references | El Hedi Arouri, M., Lahiani, A., & Nguyen, D. K. (2015). World gold prices and stock returns in China: Insights for hedging and diversification strategies. Economic Modelling, 44, 273–282. https://doi.org/10.1016/j.econmod.2014.10.030 | spa |
| dc.relation.references | Engelhardt, N., Krause, M., Neukirchen, D., & Posch, P. N. (2021). Trust and stock market volatility during the COVID-19 crisis. Finance Research Letters, 38, 101873. https://doi.org/10.1016/j.frl.2020.101873 | spa |
| dc.relation.references | Espinosa-Méndez, C., Gorigoitía, J., & Vieito, J. (2017). Is the virtual integration of financial markets beneficial in emerging markets? Evidence from MILA. Emerging Markets Finance and Trade, https://doi.org/10.1080/1540496X.2017.1307101 53(10), 2279-2302. | spa |
| dc.relation.references | Fama, E. F., & French, K. R. (2015). A five-factor asset pricing model. Journal of Financial Economics, 116(1), 1-22. https://doi.org/10.1016/j.jfineco.2014.10.010 | spa |
| dc.relation.references | Fama E. F. & Schwert, W.G. 1977. Asset returns and inflation. Journal of Financial Economics, 5: 115-146 | spa |
| dc.relation.references | Fama, E. F. (1991). Efficient capital markets: II. The Journal of Finance, 46(5), 1575-1617. | spa |
| dc.relation.references | Fama, E. F. (1981). Stock returns, real activity, inflation, and money. The American economic review, 71(4), 545-565. | spa |
| dc.relation.references | Fan, Y., & Zhu, L. (2013). Estimation of general semi-parametric quantile regression. Journal of Statistical Planning https://doi.org/10.1016/j.jspi.2012.11.005 and Inference, 143(5), 896-910. | spa |
| dc.relation.references | Feeney, G. J., & Hester, D. D. (1964). Stock market indices: A principal components analysis. | spa |
| dc.relation.references | Feige, E. L. (1998). INSTITUTIONS AND ECONOMIC PERFORMANCE. Transforming post-communist political economies, 21. | spa |
| dc.relation.references | Figlewski, S. (1984). Hedging performance and basis risk in stock index futures. The Journal of Finance, 39(3), 657–669. https://doi.org/10.1111/j.1540-6261.1984.tb03654.x | spa |
| dc.relation.references | Filis, G. (2010). Macro economy, stock market and oil prices: Do meaningful relationships exist among their cyclical fluctuations? Energy Economics, 32, 877-886. http://dx.doi.org/10.1016/j.eneco.2010.03.010 | spa |
| dc.relation.references | Fradique-Méndez, C. (2014). Guía del mercado de valores. Bolsa de Valores de Colombia. | spa |
| dc.relation.references | Franco, J. R., Rodríguez, A. I. P., & Jiménez, E. C. R. (2017). Estadística para administración. Grupo Editorial Patria. | spa |
| dc.relation.references | Frino, A., Gallagher, D., Neubert, A., & Oetomo, T. (2004). Index design and implications for index tracking: Evidence from S&P 500 Index Funds. Journal of Portfolio Management, 30(2), 89-95. | spa |
| dc.relation.references | Gamba-Santamaría, S., Gomez-Gonzalez, J. E., Hurtado-Guarín, J. L., & Melo-Velandia, L. F. (2017). Stock market volatility spillovers: Evidence for Latin America. Finance Research Letters, 20, 207-216. https://doi.org/10.1016/j.frl.2016.10.001 | spa |
| dc.relation.references | García, J. E., Nebot, J., Blasco, O., Coll, V., Díez, R., Ivars, A., & Ruiz, F. (2005). Estadística descriptiva y nociones de probabilidad. Thomson. | spa |
| dc.relation.references | Garry, S., & Villareal, F. G. (2016). El Uso de indicadores clave para evaluar el desempeño económico a Largo Plazo de América Latina. Revista de la CEPAL, 2016(118), 67 83. https://doi.org/10.18356/0d83db77-es | spa |
| dc.relation.references | Girard, E., & Omran, M. (2009). On the relationship between trading volume and stock price volatility in case. International Journal of Managerial Finance, 5(1), 110–134. https://doi.org/10.1108/17439130910932369 | spa |
| dc.relation.references | Gitman, L. J., & Joehnk, M. D. (2005). Fundamentos de inversiones. Pearson educación. | spa |
| dc.relation.references | Goetzmann, W. N., Brown, S. J., Gruber, M. J., & Elton, E. J. (2014). Modern portfolio theory and investment analysis. John Wiley & Sons, 237. | spa |
| dc.relation.references | Gomero Gonzáles, N. A., Masuda Toyofuku, V. R., & Bazán Castillo, S. (2018). Uso del Coeficiente de Correlación y Desviación Estándar en la Selección de portafolios de Activos financieros de renta variable. Quipukamayoc, 25(49), 129–140. https://doi.org/10.15381/quipu.v25i49.14288 | spa |
| dc.relation.references | Gómez, N. E. M., & Caicedo, L. E. S. (2019). Ingeniería económica. Universidad Pontificia Bolivariana. | spa |
| dc.relation.references | González-Jiménez, J. C., Lochmüller, C., & Yarce-Vélez, R. (2014). Propuesta de un índice de capitalización bursátil para la bolsa de valores MILA. | spa |
| dc.relation.references | Granados, J. A. A. (2012). Mercado de capitales y portafolios de inversión. Ediciones de la U. | spa |
| dc.relation.references | Guevara Cortés, R. L. (2013). El índice de precios y cotizaciones (IPC) de la Bolsa Mexicana de Valores: importancia de los indicadores financieros en los mercados bursátiles. | spa |
| dc.relation.references | Guloglu, B., Kaya, P., & Aydemir, R. (2016). Volatility transmission among Latin American stock markets under structural breaks. Physica A: Statistical Mechanics and its Applications, 462, 330-340. https://doi.org/10.1016/j.physa.2016.06.093 | spa |
| dc.relation.references | Gunasekarage, A., Pisedtasalasai, A., & Power, D. M. (2004). Macroeconomic influence on the stock market: Evidence from an emerging market in South Asia. Journal of Emerging Market Finance, https://doi.org/10.1177/097265270400300304 3(3), 285–304. | spa |
| dc.relation.references | Guo, J. (2018). Co-movement of international copper prices, China’s economic activity, and stock returns: Structural breaks and volatility dynamics. Global Finance Journal, 36, 62–77. https://doi.org/10.1016/j.gfj.2018.01.001 | spa |
| dc.relation.references | Gutiérrez Morales, E, A. (2019). Comparación del portafolio óptimo del MILA y el óptimo de cada uno de los mercados que lo conforman: análisis de diversificación internacional. Escuela de Ingeniería de la Organización. | spa |
| dc.relation.references | Harjoto, M. A., Rossi, F., & Paglia, J. K. (2021). COVID-19: Stock market reactions to the shock and the stimulus. Applied Economics Letters, 28(10), 795-801. https://doi.org/10.1080/13504851.2020.1781767 | spa |
| dc.relation.references | Haroon, O., & Rizvi, S. A. (2020a). Covid-19: Media coverage and financial markets behavior, a sectoral inquiry. Journal of Behavioral and Experimental Finance, 27, 100343. https://doi.org/10.1016/j.jbef.2020.100343 | spa |
| dc.relation.references | Hajilee, M., & Nasser, O. M. A. (2015). The relationship between financial market development and foreign direct investment in Latin American countries. The Journal of Developing Areas, 227-245. https://doi.org/10.1353/jda.2015.0043 | spa |
| dc.relation.references | Hashemzadeh, N., & Taylor, P. (1988). Stock prices, money supply, and interest rates: The question of causality. Applied https://doi.org/10.1080/00036848800000091 Economics, 20(12), 1603–1611. | spa |
| dc.relation.references | Hondroyiannis G. & Papapetrou E. 2001. Macroeconomic influences on the stock market. Journal of Economics and Finance 25(1): 33-49. | spa |
| dc.relation.references | Jaffe, J. F. (1989). Gold and gold stocks as investments for institutional portfolios. Financial Analysts Journal, 45(2), 53–59. https://doi.org/10.2469/faj.v45.n2.53 | spa |
| dc.relation.references | Jil, J., & Suárez, L. (2013). Relación de causalidad entre los mercados emergentes y los índices bursátiles. CICAG, 10(1), 148-159. | spa |
| dc.relation.references | Jin, X., & An, X. (2016). Global financial crisis and emerging stock market contagion: A volatility impulse response function approach. Research in International Business and Finance, 36, 179-195. https://doi.org/10.1016/j.ribaf.2015.09.019 | spa |
| dc.relation.references | Karmakar, M. (2006). Stock market volatility in the long run, 1961-2005. Economic and Political Weekly, 1796-1802. | spa |
| dc.relation.references | Kim, K. (2003). Dollar exchange rate and stock price: Evidence from Multivariate Cointegration and error correction model. Review of Financial Economics, 12(3), 301–313. https://doi.org/10.1016/s1058-3300(03)00026-0 | spa |
| dc.relation.references | Koenker, R., & Hallock, K. F. (2001). Quantile regression. Journal of Economic Perspectives, 15(4), 143-156. 10.1257/jep.15.4.143 | spa |
| dc.relation.references | Krieger, K., Mauck, N., & Chen, D. (2012). Vix changes and derivative returns on FOMC meeting days. Financial Markets and Portfolio Management, 26(3), 315–331. https://doi.org/10.1007/s11408-012-0191-4 | spa |
| dc.relation.references | Lahiri, K., & Moore, G. H. (Eds.). (1991). Leading economic indicators: new approaches and forecasting records. Cambridge University Press. | spa |
| dc.relation.references | Lamoureux, C. G., & Wansley, J. W. (1987). Market effects of changes in the Standard & Poor’s 500 index. Financial Review, 22(1), 53-69. | spa |
| dc.relation.references | Lee, D. S., & Liu, H. (2010). An Analysis of Several Factors Affecting the US Dollar Index. | spa |
| dc.relation.references | Li, W., Chien, F., Kamran, H. W., Aldeehani, T. M., Sadiq, M., Nguyen, V. C., & Taghizadeh-Hesary, F. (2021). The nexus between covid-19 fear and stock market volatility. Economic Research-Ekonomska Istraživanja, 35(1), 1765–1785. https://doi.org/10.1080/1331677x.2021.1914125 | spa |
| dc.relation.references | 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 | spa |
| dc.relation.references | Liow, K. H., Liao, W. C., & Huang, Y. (2018). Dynamics of international spillovers and interaction: Evidence from financial market stress and economic policy uncertainty. Economic Modelling, 68, 96-116. https://doi.org/10.1016/j.econmod.2017.06.012 | spa |
| dc.relation.references | López, B. D. R. (2016). Análisis comparativo de los mercados bursátiles que integran el MILA. Contexto, 5, 53-62. https://doi.org/10.18634/ctxj.5v.0i.382 | spa |
| dc.relation.references | Martín Marín, J. L., & Trujillo Ponce, A. (2004). Manual de mercados financieros. Ediciones Paraninfo, SA. | spa |
| dc.relation.references | Medina, L. Á. (2003). Aplicación de la teoría del portafolio en el mercado accionario colombiano. Cuadernos de economía, 22(39), 129-168. | spa |
| dc.relation.references | Melo-Velandia, L. F., & Becerra-Camargo, O. R. (2005). Medidas de Riesgo, Características y Técnicas de Medición: Una Aplicación Del Var y El Es a La Tasa Interbancaria de Colombia. https://doi.org/10.32468/be.343 | spa |
| dc.relation.references | Méndez-Morales, A., & Yanes-Guerra, C. (2018). Financial Systems and Private Innovation Activity. Research for OECD countries. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3303298 | spa |
| dc.relation.references | Mendoza, J. (2013). Transitional strategies for institutional reform in Latin America (Doctoral dissertation, Oxford University, UK). | spa |
| dc.relation.references | Mensi, W., Yousaf, I., Vo, X. V., & Kang, S. H. (2022). Asymmetric spillover and network connectedness between gold, Brent Oil and EU Subsector Markets. Journal of International Financial Markets, Institutions and Money, 76, 101487. https://doi.org/10.1016/j.intfin.2021.101487 | spa |
| dc.relation.references | Milne, R. D. (1966). The Dow-jones industrial average re-examined. Financial Analysts Journal, 22(6), 83–88. https://doi.org/10.2469/faj.v22.n6.83 | spa |
| dc.relation.references | Mittnik, S., Robinzonov, N., & Spindler, M. (2015). Stock market volatility: Identifying major drivers and the nature of their impact. Journal of Banking & Finance, 58, 1 14. https://doi.org/10.1016/j.jbankfin.2015.04.003 | spa |
| dc.relation.references | MSCI. (2021). MSCI COLCAP Index Methodology. MSCI. | spa |
| dc.relation.references | Mundaca, B. G. (2009). Remittances, financial market development, and economic growth: the case of Latin America and the Caribbean. Review of development economics, 13(2), 288-303. https://doi.org/10.1111/j.1467-9361.2008.00487.x | spa |
| dc.relation.references | Muñoz Mendoza, J. A., Sepúlveda Yelpo, S. M., Velosos Ramos, C. L., & Delgado Fuentealba, C. L. (2022). Effects of MILA on their stock markets: an empirical analysis on market activity and dynamic correlations. International Journal of Emerging Markets, 17(2), 574-599. https://doi.org/10.1108/IJOEM-12-2019-1070 | spa |
| dc.relation.references | Nasseh, A., & Strauss, J. (2000). Stock prices and domestic and international macroeconomic activity: A cointegration approach. The Quarterly Review of Economics and Finance, 40(2), 229–245. https://doi.org/10.1016/s1062-9769(99)00054-x | spa |
| dc.relation.references | Nava, A. R., Venegas-Martínez, F., Coronado, S., & Rojas, O. (2018). Oil prices and stock market returns: A comparison among Brazil, Chile, and Mexico. Recent topics in time series and finance: Theory and applications in emerging markets. Universidad de Guadalajara. | spa |
| dc.relation.references | Núñez, M. D. C. R., Briseño, L. M. G., & Núñez, G. R. (2021). Importancia de las bolsas de valores en la economía. Diagnóstico FACIL Empresarial Finanzas Auditoria Contabilidad Impuestos Legal, (4), 55-64. | spa |
| dc.relation.references | Onali, E. (2020). Covid-19 and stock market volatility. Available at SSRN 3571453. | spa |
| dc.relation.references | Orhun, E. (2021). The impact of COVID-19 global health crisis on stock markets and understanding the cross-country effects. Pacific Accounting Review, 33(1), 142-159. | spa |
| dc.relation.references | Ortiz, I., & Cummins, M. (2012). Desigualdad global: La distribución del ingreso en 141 países (No. 1104). | spa |
| dc.relation.references | Otero, J. V., & Reyes, B. S. (2012). Regresión Cuantílica: Estimación y contrastes. Instituto L.R. Klein-Centro Gauss. | spa |
| dc.relation.references | Owen, D., & Griffiths, R. (2006). Mapping the Markets: A guide to Stock market Analysis (Vol. 29). John Wiley & Sons. | spa |
| dc.relation.references | Pacheco, L., & Arroyo, M (2011). Impacto de la revelación de ganancias por acción sobre los precios accionarios de empresas en chile. CAPIC REVIEW, 9(1), 1. | spa |
| dc.relation.references | Pelayo, Á. P. F., & López, A. E. G. (2014). Importancia de los índices bursátiles en el mercado de Colombia. Innovando en la U, (6), 123-131. | spa |
| dc.relation.references | Rios-Avila, F., & Maroto, M. L. (2022). Moving beyond linear regression: Implementing and interpreting quantile regression models with fixed effects. Sociological Methods & Research, 00491241211036165. https://doi.org/10.1177/0049124121103616 | spa |
| dc.relation.references | Rodríguez, Á. (2007). El mercado de capitales como alternativa de inversión. Visión gerencial, 105-116. | spa |
| dc.relation.references | Rodríguez Benavides, D., Gurrola Ríos, C., & López Herrera, F. (2021a). Dependencia de los Mercados de Valores de Argentina, Brasil y México respecto del estadounidense: 130 Bibliografía Covid19 y Otras Crisis Financieras Recientes. Revista Mexicana de Economía y Finanzas, 16(3), 1–18. https://doi.org/10.21919/remef.v16i3.652 | spa |
| dc.relation.references | Rodríguez García, M. del, Cortez Alejandro, K. A., Méndez Sáenz, A. B., &a Garza Sánchez, H. H. (2015). Análisis de portafolio por sectores Mediante el uso de Algoritmos Genéticos: Caso aplicado a la Bolsa Mexicana de Valores. Contaduría y Administración, 60(1), 87–112. https://doi.org/10.1016/s0186-1042(15)72148-0 | spa |
| dc.relation.references | Rodríguez, J. S. (2020). Estructura y evolución del sistema financiero colombiano y sus principales mercados. Alpha Editorial. | spa |
| dc.relation.references | Rojas-Mora, J., & Chamorro-Futinico, J. C. (2017). Dynamics and volatility at stock market indexes of pacific alliance countries. Panorama Económico, 24(1), 71-84. | spa |
| dc.relation.references | Román Mendoza, César Ramírez (2022). MSCI COLCAP Index. MSCI. | spa |
| dc.relation.references | Romero-Álvarez, Y. P., Ramírez-Atehortúa, F. H., & Guzmán-Aguilar, D. S. (2013). Mercado Integrado Latinoamericano (MILA): análisis de correlación y diversificación de los portafolios de acciones de los tres países miembros en el periodo 2007-2012. Cuadernos de Contabilidad. 14(34), 53-74. | spa |
| dc.relation.references | Rossi, P., Arbocco, G., Vacas llanque, Y. M., Maco, C. E., & Posadas, L. H. (2012). ÍNDICES Bursátiles. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2129499 | spa |
| dc.relation.references | Ruiz Dávila, B. D., & García Muñoz, G. (2020). Hipótesis de Mercados Eficientes y estrategias de inversión en el MILA: 2014-2019. Análisis económico, 35(90), 67-90. | spa |
| dc.relation.references | Salisu, A. A., Raheem, I. D., & Vo, X. V. (2021). Assessing the safe haven property of the gold market during COVID-19 pandemic. International Review of Financial Analysis, 74, 101666. https://doi.org/10.1016/j.irfa.2021.101666 | spa |
| dc.relation.references | Sandoval Álamos, E., & Olea Rodríguez, F. (2022). Latin American integrated market. is there cointegration after the entry of Mexico? Journal of Globalization, Competitiveness and https://doi.org/10.3232/gcg.2020.v14.n3.01 Governability, 14(3). | spa |
| dc.relation.references | Sandoval, E., & Soto, M. (2016). Mercado Integrado Latinoamericano: Un Análisis de Cointegración (Integrated Markets of Latin American: A Cointegration Analysis). Revista Internacional Administración & Finanzas, 9(1),1-17. | spa |
| dc.relation.references | Santillán-Salgado, R. J., Massa Roldán, R., & Reyna Miranda, M. (2017). An exploratory study on nonlinear causality among the MILA markets. Emerging Markets Finance and Trade, 53(10), 2303-2317. https://doi.org/10.1080/1540496X.2017.1308861 | spa |
| dc.relation.references | Schloss, W. J. (1953a). The Dow Jones industrial average amended. Financial Analysts Journal, 9(1), 35–36. https://doi.org/10.2469/faj.v9.n1.35 | spa |
| dc.relation.references | Serrano, J. (2013). El inversor tranquilo. Publisher, Ediciones Díaz de Santos. 536pág. | spa |
| dc.relation.references | Shaw, R. B. (1955). The dow jones industrials vs. the dow jones industrial average. Financial Analysts Journal, 11(5), 37–40. https://doi.org/10.2469/faj.v11.n5.37 | spa |
| dc.relation.references | Shilling, H. (2019). International Guide to Securities Market Indices. ROUTLEDGE. | spa |
| dc.relation.references | Siddiqui, S., & Kaur, R. (2022). Hedge Ratios and Modelling select Global Financial Variables with BRICS. | spa |
| dc.relation.references | Siegel, J. J. (2014). Guía para invertir a largo plazo: La guía definitiva de estrategias que funcionan para ganar en Bolsa. Profit Editorial. | spa |
| dc.relation.references | Solano, E. R. (2001). Moneda, Banca y Mercados Financieros: Instituciones e instrumentos en países en desarrollo. Pearson Educación. | spa |
| dc.relation.references | S&P Global. (2023). S&P/BLV Peru Indices: Metodología. S&P Global. | spa |
| dc.relation.references | Srikanth, P., & Aparna, K (2012). Global stock market integration-a study of select world major stock markets. Researchers World, 3(1), 203. | spa |
| dc.relation.references | Su, E.-D., & Fen, Y.-G. (2011). The affect of the U.S. dollar index, U.S. stocks and the currency exchange on the Taiwan Stock Market during the Financial Tsunami. Journal of Statistics and Management Systems, 14(4), 789–813. https://doi.org/10.1080/09720510.2011.10701586 | spa |
| dc.relation.references | Tacq, J. (1997). Multivariate analysis techniques in social science research: From problem to analysis. Sage. | spa |
| dc.relation.references | Terceño, A., & Guercio, M. B. (2011). El crecimiento económico y el desarrollo del sistema financiero. Un análisis comparativo. Investigaciones Europeas de Dirección y Economía de la Empresa, 17(2), 33-46. https://doi.org/10.1016/S1135 2523(12)60051-3 | spa |
| dc.relation.references | Tornero, A. P. (1998). Efectos de los mercados derivados sobre Ibex-35 en el activo subyacente. Revista Española de Financiación y Contabilidad, 99-128. | spa |
| dc.relation.references | Triki, M. B., & Ben Maatoug, A. (2021). The gold market as a safe haven against the stock market uncertainty: Evidence from geopolitical risk. Resources Policy, 70, 101872. https://doi.org/10.1016/j.resourpol.2020.101872 | spa |
| dc.relation.references | Uribe Gil, J. M., & Mosquera López, S. (2014). Efectos del Mila en la eficiencia de portafolio de los mercados de acciones colombiano, peruano y chileno. Cuadernos de Administración, 30(52), 75–83. https://doi.org/10.25100/cdea.v30i52.32 | spa |
| dc.relation.references | Vargas Pulido, W., & Bayardo Martínez, J. (2013). El Mila. Mercado de integración entre Chile, Perú y Colombia. Revista de Relaciones Internacionales, Estrategia y Seguridad, 8(1), 113–133. https://doi.org/10.18359/ries.67 | spa |
| dc.relation.references | Yousaf, I., Ali, S., & Wong, W. K. (2020). Return and volatility transmission between world leading and Latin American stock markets: portfolio implications. Journal of Risk and Financial Management, 13(7), 148. https://doi.org/10.3390/jrfm13070148 | spa |
| dc.relation.references | Zevallos Garavaglia, C., Fernández Wendell, J. L., & Geldres Pinto, E. (2016). Una estrategia de inversión basada en múltiplos que bate los retornos del MILA. | spa |
| dc.relation.references | Zeren, F., & Hizarci, A. (2020). The impact of COVID-19 coronavirus on stock markets: evidence from selected countries. Muhasebe ve Finans İncelemeleri Dergisi, 3(1), 78-84. https://doi.org/10.32951/mufider.706159 | spa |
| dc.relation.references | Zhu, Z., Bai, Z., Vieito, J. P., & Wong, W.-K. (2018). The impact of the global financial crisis on the efficiency and performance of Latin American Stock Markets. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3208090 | spa |
| dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
| dc.rights.creativecommons | Atribución-NoComercial-SinDerivadas 2.5 Colombia | * |
| dc.rights.local | Abierto (Texto Completo) | spa |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/2.5/co/ | * |
| dc.subject.keywords | Equity | spa |
| dc.subject.keywords | Dow Jones | spa |
| dc.subject.keywords | Stock exchange | spa |
| dc.subject.keywords | Finance | spa |
| dc.subject.keywords | Mathematical models | spa |
| dc.subject.keywords | Markets | spa |
| dc.subject.keywords | Capitalization | spa |
| dc.subject.keywords | Economic models | spa |
| dc.subject.keywords | Macroeconomy | spa |
| dc.subject.lemb | Finanzas | spa |
| dc.subject.lemb | Bolsa de valores | spa |
| dc.subject.lemb | Modelos matemáticos | spa |
| dc.subject.lemb | Mercados | spa |
| dc.subject.lemb | Capitalización | spa |
| dc.subject.lemb | Modelos económicos | spa |
| dc.subject.lemb | Macroeconomía | spa |
| dc.subject.proposal | Renta variable | spa |
| dc.subject.proposal | S&P 500 | spa |
| dc.title | Análisis Correlacional de los índices de renta variable del MILA en relación con el S&P 500 y el Dow Jones (2011–2021) | spa |
| dc.title.translated | Correlational Analysis of MILA equity indices in relation to the S&P 500 and Dow Jones (2011-2021) | spa |
| dc.type | Thesis | eng |
| dc.type.coar | http://purl.org/coar/resource_type/c_bdcc | spa |
| dc.type.coarversion | http://purl.org/coar/version/c_ab4af688f83e57aa | spa |
| dc.type.driver | info:eu-repo/semantics/masterThesis | spa |
| dc.type.hasversion | info:eu-repo/semantics/acceptedVersion | spa |
| dc.type.local | Tesis | spa |
| dc.type.redcol | http://purl.org/redcol/resource_type/TM | spa |
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