دانلود کتاب برنامه های کاربردی تجزیه و تحلیل داده ها در بازارهای نوظهور

The purpose of this book is to present a vision of the application of data analytics in emerging markets. It can be affirmed that thanks to the evolution of technology, it is now that complex problems can be solved with a great amount of data. In the scientific literature, we find important advances about the generation of diverse algorithms that at the same time, in practice, is a fertile field of possible applications.

Current tools or techniques, such as data mining, optimization, automatic nonlinear learning, digital transformation, GARCH models, can be utilized for making analytical applications in this book, which uses own current data for solving specific problems and explain results based on finance data. The key is to continue contributing to the theory development and financial models, which is present, as an integrating element, in the pages of this book.

This book consists of nine chapters, related to technology and energy. These offer a theoretical framework of the innovation in financial technology and its vertigi-nous development during the XXI century; in addition, it presents some applications and advances made in the emergent economies. Its own content and direction are constituted in the integrating element of this book. In the first chapter Financial Technologies in the Emerging Markets, Pamela Soledad Moncayo Mejia and Pilar Madrazo Lemarroy, they propose the fintech as part of the innovation world in finan-cial technology, which has transformed the behavior of the economical agents and their interaction with the financial systems worldwide. Nevertheless, they point out that technology has developed asymmetrically, and the fintech’s case is not an excep-tion, hence their emphasis in the study of emergent economies and their impact in economies. The authors propose the challenges of adopting such technology in this “ecosystem,” boarding the Mexican case and approaching the advance of the financial technology regulation’s impact, which is increasingly thriving.

The previous chapter points out that the innovation in financial technology poses challenges, fact that is approached in the second chapter: Financial System: Chal-lenges and Opportunities of Digital Transformation in Mexico, written by Vanessa Veintimilla Brando and Daniel Miranda Lopez, which has as purpose complementing the first chapter. In summary, it can be said that this chapter presents a general panorama of the development and implications of financial technology in the Mexican financial system. Furthermore, it analyzes the implications in other sectors such as education, infrastructure, and it is discussed in the same supervision and regulatory framework which involves it. The phenomenon of “digitalization” is approached as a provider of multiple opportunities and of the challenges it presents.

In congruence with the theoretical revisions and current applications presented in the previous two chapters, the chapter Machine Learning Models, Risk Manage-ment Current Regulation and Perspectives, which is presented by Jose Juan Chavez Gudiño and Jose Antonio Nuñez Mora, approaches the automatic learning models, the problems in risk management and the regulation of financial institutions. They affirm that while it is true that the models result mainly predictable, it is also true that they are characterized by their increased complexity. Therefore, the global regula-tion planned in Basilea II and Basilea IV results insufficient to solve such problems worldwide and in emergent economies.