Financial economics: Dynamic analysis of macrofundamental variables and risk cases, Colombia and Lima (Peru)

dc.contributor.authorCardona Arenas, Carlos David
dc.contributor.authorOsorio Barreto, Daniel
dc.contributor.authorToro Díaz, Jairo
dc.contributor.authorTeran Velazco, Cesar Alberto
dc.contributor.authorRedondo Ramírez, Marlen Isabel
dc.contributor.authorDíaz Restrepo, Carlos Andrés
dc.contributor.authorBayer Agudelo, Andrés
dc.contributor.authorAristizabal Ocampo, Pablo
dc.contributor.authorCuellar Marquez, Nathalia
dc.contributor.editorUniversidad Libre, Seccional Pereira
dc.contributor.otherRodríguez Henao, Laura Juliana
dc.coverage.spatialPereiraspa
dc.date.accessioned2021-10-05T18:26:17Z
dc.date.available2021-10-05T18:26:17Z
dc.date.created2021-09
dc.description.abstractDedicated to all those who believe in their dreams and sow day by day to achieve them. This research book is the product of a frank and open debate related to the importance of accurately measuring financial phenomena that turn out to be related to scenarios of economic openness, financial globalization, competitive market environments and their incidence on risk. Thus, the authors of this book have wanted to show in a clear and detailed way methodological approaches that allow future researchers to carry out replications of this work in other contexts or to broaden the theoretical reflection to strengthen the theoretical framework of financial economics. The analysis contexts in this book have been chosen considering spatial, temporal or historical peculiarities that have aroused intellectual interest in understanding how differentiated impacts are produced on commodity prices, exchange rate and risk or which variables are determinants of these categories of analysis. This work aims to provide investors and researchers with a methodological approach to carry out technical and / or fundamental analyzes for the prediction of the behavior of the main currency pairs worldwide, especially those that can be traded through the Internet, in various platforms that brokers develop to facilitate access and participation in these types of markets. In many cases, the broad panorama of research topics related to the field of financial economics may induce a greater focus on performance analysis to leave out very important elements that should be considered when making investment decisions, such as For example, the most appropriate statistical tools for a certain behavior, the combination of analysis to confirm or deny a prediction, the indicators of more and less risky operations, linearity or non-linearity in quantitative relationships of interest. However, this work does not guarantee success in your investment decisions, due to a large number of factors that will be explained later in the following chapters, however, it intends to considerably reduce your deliberate, irrational and unfounded decisions, regarding amounts, risk analysis, types of currency, duration and times when financial operations are carried out. This requires the application of statistical tools (technical analysis) based on longitudinal data available in secondary information sources and the analysis of the most influential economic indicators in the behavior of the assets mentioned in the document (fundamental analysis). Carlos David Cardona Arenasspa
dc.identifier.isbn978-958-8859-76-7spa
dc.identifier.urihttps://hdl.handle.net/10901/19757
dc.publisherCentro de Investigaciones Facultad de Ciencias Económicas, Administrativas y Contablesspa
dc.relation.referencesAcharya, V. V., & Richardson, M. (2009). Causes of the Financial Crisis. A Journal of Politics and Society, 21(2), 195-210.spa
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dc.relation.referencesAkinmade, B., Adedoyin, F., & Bekun, F. V. (2020). The impact of stock market manipulation on Nigeria’s economic performance. Journal of Economic Structures, 9(1).spa
dc.relation.referencesAltman, E. I. (1968). Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. Journal of Finance, 23, 589-609.spa
dc.relation.referencesAnginer, D., Demirguc-Kunt, A., & Zhu, M. (2014). How does deposit insurance affect bank risk? Evidence from the recent crisis. Journal of Banking & Finance, 48, 312-321.spa
dc.relation.referencesArribas Barreas, V., Josa, E., Bravo Duran, S., Garcia Hiljding, I., & San Miguel Aguirre, P. (2016). El sector de la moda en España: retos y desadios. Observatorio de la moda española.spa
dc.relation.referencesBanco Mundial. (9 de Abril de 2019). Banco Mundial. Obtenido de https://www.bancomundial.org/es/country/peru/overviewspa
dc.relation.referencesBattaglia, F., & Gallo, A. (2013). Securitization and systemic risk: An empirical investigation on Italian banks over the financial crisis. International Review of Financial Analysis, 30, 274-286.spa
dc.relation.referencesBattiston, S., Gatti, D., Gallegati, M., Greenwald, B., & Stiglitz, J. (2012a). Default cascades: when does risk diversification increase stability? Journal of Financial Stability, (3), 138- 149.spa
dc.relation.referencesBolsa de Valores de Lima. (31 de Marzo de 2017). BVL. Obtenido de https://www.bvl.com.pe/mila/spa
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2spa
dc.rights.licenseAtribución-NoComercial-SinDerivadas 2.5 Colombia*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/co/*
dc.subjectEconomía financieraspa
dc.subjectAnálisisspa
dc.subjectCasos de riesgospa
dc.subjectLima (Perú)spa
dc.subject.subjectenglishFinancial economicsspa
dc.subject.subjectenglishanalysisspa
dc.subject.subjectenglishrisk casesspa
dc.subject.subjectenglishLima (Perú)spa
dc.titleFinancial economics: Dynamic analysis of macrofundamental variables and risk cases, Colombia and Lima (Peru)spa

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