Short description:

This publication is the first one to develop a global impact taxonomy for FinTechs that aspire to fulfill the SDGs. The transformative arena of impact investing is witnessing significant shifts, through innovation and technology advances and through the emergence ad application of a new global societal contract. Finance and FinTech companies experience an increasing exposure to the evolving landscape of impact investing, the authors have identified an exigent need to construct a standardized Impact Taxonomy for  FinTechs. This taxonomy is envisaged to create a uniform system, thereby enabling FinTechs to quantify their impact in a standardized manner. The inherent heterogeneity in the FinTechs industry and the still emergent implementation knowledge on "how to " implement the SDGs, necessitates the development of this taxonomy, which aims to enhance clarity, transparency, and comparability in measuring impacts, thus facilitating informed decision-making for investors, regulators, and the fintech entities themselves. This publication is conceived as an academic response to the specified need, coming up with the first framework of an impact taxonomy. 

This book explores the impact innovation potential of emerging technologies and machine learning in the FinTech industry from an entrepreneurial perspective. It maps the current initiatives, is substantiating a detailed examination and proposing a framework for a first global Impact Taxonomy tailored to the fintech sector.

In the entrepreneurial sphere and analyses and develops strategies for identifying impact on governance and decision making and for managing risk.It provides practical advice on evaluating, strategizing and improving sustainability in the digital asset sector. This book offers a useful guide for finance professionals, entrepreneurs and early-stage investors.

Long description:

This publication is the first one to develop a global impact taxonomy for FinTechs that aspire to fulfill the SDGs. The transformative arena of impact investing is witnessing significant shifts, through innovation and technology advances and through the emergence ad application of a new global societal contract. Finance and FinTech companies experience an increasing exposure to the evolving landscape of impact investing, the authors have identified an exigent need to construct a standardized Impact Taxonomy for  FinTechs. This taxonomy is envisaged to create a uniform system, thereby enabling FinTechs to quantify their impact in a standardized manner. The inherent heterogeneity in the FinTechs industry and the still emergent implementation knowledge on "how to " implement the SDGs, necessitates the development of this taxonomy, which aims to enhance clarity, transparency, and comparability in measuring impacts, thus facilitating informed decision-making for investors, regulators, and the fintech entities themselves. This publication is conceived as an academic response to the specified need, coming up with the first framework of an impact taxonomy. 

This book explores the impact innovation potential of emerging technologies and machine learning in the FinTech industry from an entrepreneurial perspective. It maps the current initiatives, is substantiating a detailed examination and proposing a framework for a first global Impact Taxonomy tailored to the fintech sector.

In the entrepreneurial sphere and analyses and develops strategies for identifying impact on governance and decision making and for managing risk.It provides practical advice on evaluating, strategizing and improving sustainability in the digital asset sector. This book offers a useful guide for finance professionals, entrepreneurs and early-stage investors.

Table of Contents:

.- Introduction.

.- A simple mathematical model.

.- Low order Lagrange Finite Elements.

.- The standard Finite Element Method.

.- Nitsche Finite Element Method.

.- Nitsche for Signorini.

.- About meshing and discretization error.