Mostrar el registro sencillo del ítem
Uso de cópulas bivariadas para el modelado de índices de renta variable en el periodo 2015 - 2020.
| dc.contributor.advisor | Bello, Alejandro | spa |
| dc.contributor.author | Bedoya Riveros, Carlos Felipe | spa |
| dc.date.accessioned | 2021-10-12T17:03:17Z | spa |
| dc.date.available | 2021-10-12T17:03:17Z | spa |
| dc.date.created | 2021 | spa |
| dc.date.issued | 2021 | spa |
| dc.identifier.citation | Bedoya Riveros, C.F. (2021). Uso de cópulas bivariadas para el modelado de índices de renta variable en el periodo 2015 - 2020. [Tesis de maestría]. Universidad Sergio Arboleda. | spa |
| dc.identifier.uri | http://hdl.handle.net/11232/1777 | eng |
| dc.description.abstract | Los mercados de valores de Estados Unidos, Alemania y Japón resultan ser fundamentales en el mercado de capitales moderno, dado que estas economías se encuentran entre las cinco más grandes del planeta y cuentan con sectores financieros vigorosos en cuanto a sus niveles de capitalización bursátil . La estimación de distribuciones marginales vía un modelo ARMA-GARCH y el uso de cópulas t-student permiten concluir que existe un fuerte vínculo entre los ´índices representativos de tales mercados de renta variable, siendo este un resultado totalmente coherente con el grado de globalización que existe en el mercado de capitales moderno. | spa |
| dc.description.abstract | The American, German and Japanese Stock markets are fundamental in the modern capital market given the fact that these economies are in the top five of the largest economies of the world and that they possess a vigorous financial sector. The estimation of univariate marginal distributions through an ARMA-GARCH model and the application of t-student copulas allows to conclude that there is a strong bond between the representative indices of those markets. This result is completely coherent with the degree at which the modern capital markets is globalized and integrated as a single entity. | eng |
| dc.format.extent | 39 | spa |
| dc.format.mimetype | application/pdf | eng |
| dc.language.iso | eng | eng |
| dc.publisher | Universidad Sergio Arboleda | spa |
| dc.rights | https://repository.usergioarboleda.edu.co/bitstream/id/9d55914d-3745-4c50-a0a9-66c308ed27b3/license.txt | eng |
| dc.title | Uso de cópulas bivariadas para el modelado de índices de renta variable en el periodo 2015 - 2020. | spa |
| dc.publisher.program | Maestría en Matemáticas Aplicadas | spa |
| dc.publisher.department | Escuela de Ciencias Exactas e Ingeniería | spa |
| dc.relation.references | Arnaud Costinot, Thierry Roncalli y Jerome Teiletche. “Revisiting the dependence between financial markets with copulas”. En: Available at SSRN 1032535 (2000). | eng |
| dc.relation.references | Aristidis K Nikoloulopoulos, Harry Joe y HaijunV Li. “Vine copulas with asymmetric tail dependence and applications to financial return data”. En: Computational Statistics & Data Analysis 56.11 (2012), págs.. 3659-3673. | eng |
| dc.relation.references | Beatriz Vaz de Melo Mendes y Rafael Martins de Souza. “Measuring financial risks with copulas”. En: International Review of Financial Analysis 13.1 (2004), págs.. 27-45 | eng |
| dc.relation.references | Damodar N Gujarati. “Econometrics by example”. En: (2011). | eng |
| dc.relation.references | Edward F Wolff. “N-dimensional measures of dependence.” En: Stochastica 4.3 (1980), págs. 175-188. | eng |
| dc.relation.references | Eric Jondeau y Michael Rockinger. “The copula-garch model of conditional dependencies: An international stock market application”. En: Journal of international money and finance 25.5 (2006), pa´gs. 827-853. | eng |
| dc.relation.references | Fabrizio Durante, Juan Fernández-Sánchez y Carlo Sempi. “A topological proof of Sklar’s theorem”. En: Applied Mathematics Letters 26.9 (2013), págs.. 945-948. | eng |
| dc.relation.references | Frits H Ruymgaart y MCA van Zuijlen. “Asymptotic normality of multivariate linear rank statistics in the non-iid case”. En: The Annals of Statistics (1978), pa´gs. 588-602. | eng |
| dc.relation.references | Gregor NF Weiß. “Copula-GARCH versus dynamic conditional correlation: an empirical study on VaR and ES forecasting accuracy”. En: Review of Quantitative Finance and Accounting 41.2 (2013), págs.. 179-202. | eng |
| dc.relation.references | Hui Guo y Christopher J Neely. “Investigating the intertemporal risk–return relation in international stock markets with the component GARCH model”. En: Economics letters 99.2 (2008), págs.. 371-374. | eng |
| dc.relation.references | Jeffrey Chu y col. “GARCH modelling of cryptocurrencies”. En: Journal of Risk and Financial Management 10.4 (2017), pág.. 17. | eng |
| dc.relation.references | Jun Shao. Mathematical statistics. 2003. | eng |
| dc.relation.references | Lu Chen y Shenglian Guo. Copulas and Its application in hydrology and water resources. Springer, 2019. | eng |
| dc.relation.references | Maurice Fréchet. “Sur les tableaux de corrélation dont les marges sont données”. En: Ann. Univ. Lyon, 3ˆ e serie, Sciences, Sect. A 14 (1951), págs.. 53-77. | fre |
| dc.relation.references | Marius Hofert y col. Elements of copula modeling with R. Springer, 2019 | eng |
| dc.relation.references | Mieszko Mazur, Man Dang y Miguel Vega. “COVID-19 and the march 2020 stock market crash. Evidence from S&P1500”. En: Finance Research Letters (2020), pág.. 101690. | eng |
| dc.relation.references | M Sklar. “Fonctions de repartition an dimensions et leurs marges”. En: Publ. inst. statist. univ. Paris 8 (1959), págs.. 229-231. | fre |
| dc.relation.references | Michail D Vamvakaris, Athanasios A Pantelous y Konstantin M Zuev. “Time series analysis of S&P 500 index: A horizontal visibility graph approach”. En: Physica A: Statistical Mechanics and Its Applications 497 (2018), págs.. 41-51. | eng |
| dc.relation.references | MH DeGroot y MJ Schervish. Probability and Statistics, Pearson Education. 2012. [7] Majid Dehghani, Bahram Saghafian y Mansoor Zargar. “Probabilistic hydrological drought index forecasting based on meteorological drought index using Archimedean copulas”. En: Hydrology Research 50.5 (2019), págs.. 1230-1250. | eng |
| dc.relation.references | Paraskevi Katsiampa. “Volatility estimation for Bitcoin: A comparison of GARCH models”. En: Economics Letters 158 (2017), págs.. 3-6. | eng |
| dc.relation.references | Ray Y Chou, Victor Ng y Lynn K Pi. “Cointegration of international stock market indices”. En: IMF Working Papers 94 (1994), pág.. 94. | eng |
| dc.relation.references | Riadh Aloui, Mohamed Safouane Ben Aıssa y Duc Khuong Nguyen. “Conditional dependence structure between oil prices and exchange rates: a copula-GARCH approach”. En: Journal of International Money and Finance 32 (2013), págs.. 719-738. | eng |
| dc.relation.references | Roger B Nelsen. An introduction to copulas. Springer Science & Business Media, 2007. | eng |
| dc.relation.references | RB Nelsen. “Kendall tau metric”. En: Encyclopaedia of mathematics 3 (2001), págs.. 226-227. | eng |
| dc.relation.references | Thabani Nyoni. “Modeling and forecasting inflation in Kenya: Recent insights from ARIMA and GARCH analysis”. En: Dimorian Review 5.6 (2018), págs.. 16-40. | eng |
| dc.relation.references | Wassilij Ho¨ffding. “Masstabinvariante korrelationstheorie”. En: Schriften des Mathematischen Instituts und Instituts fur Angewandte Mathematik der Universitat Berlin 5 (1940), págs.. 181-233. | eng |
| dc.relation.references | Yan-hua WEI y Shi-ying ZHANG. “Dependence Analysis of Finance Markets: Copula-GARCH Model and Its Application [J]”. En: Systems Engineering 4 (2004), págs.. 7-12. | eng |
| dc.relation.references | Yan Liu y Richard Luger. “Efficient estimation of copula-GARCH models”. En: Computational Statistics & Data Analysis 53.6 (2009), págs.. 2284-2297. | eng |
| dc.relation.references | Yue Peng y Wing Lon Ng. “Analysing financial contagion and asymmetric market dependence with volatility indices via copulas”. En: Annals of Finance 8.1 (2012), págs.. 49-74. | eng |
| dc.relation.references | Zengchao Hao y Vijay P Singh. “Review of dependence modeling in hydrology and water resources”. En: Progress in Physical Geography 40.4 (2016), págs.. 549-578. | spa |
| dc.type.coar | http://purl.org/coar/resource_type/c_bdcc | eng |
| dc.type.local | Tesis/Trabajo de grado - Monografía - Maestría | spa |
| dc.subject.proposal | cópulas | spa |
| dc.subject.proposal | Garch | spa |
| dc.subject.proposal | Arma | spa |
| dc.subject.proposal | ρ de Spearman | spa |
| dc.subject.proposal | dependencia estructural | spa |
| dc.subject.proposal | S&P500 | spa |
| dc.subject.proposal | DAX | spa |
| dc.subject.proposal | Nikkei | spa |
| dc.description.degreename | Magister en Matemáticas Aplicadas | spa |
| dc.description.degreelevel | Maestría | spa |

