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Catalogue complet

Bravo Cristian: Deep Learning in Banking

Deep Learning in Banking

Integrating Artificial Intelligence for Next-Generation Financial Services

Contents List of Figures Foreword&nbsp; Preface&nbsp; Acknowledgments Acronyms &nbsp; Chapter 1: Introduction Chapter 2: Image Processing and Convolutional Neural Networks Chapter 3: Time Series and Panel Data in Banking Chapter 4: Text Data and Transformers Chapter 5: Financial Contagion and Network Models Chapter 6: Generative AI and Large Language Models Chapter 7: Multimodel Data and Information Fusion Chapter 8: Fairness, Accountability, Explainability, and Causality Chapter 9: Perspectives on the Future of AI in Banking &nbsp; Bibliography&nbsp; About the Authors Index

This book explores the&nbsp;application of theories of strategy and international trade to the global banking industry, covering both commercial and investment banks. Chapters&nbsp;incorporate analyses from the perspective of banks and regulators in the post-financial crisis period. The author traces the history of international financial institutions, and also looks to the development of bank structure over time to the present day. The book adopts a&nbsp;multifaceted&nbsp;view of the international&nbsp;banking industry, beginning with theories of strategy and internationalism, and finishing with current and&nbsp;practical&nbsp;issues faced within the transnational banking community.

Evolution, Trade and Competition

International Banking and Bank Strategy

Discover how to capitalize on what makes your business-and its products-truly valuable to customers In Pay Back: Turning Customer Value into Lasting Revenue, a team of veteran business strategy thought leaders delivers an innovative, pragmatic approach to value that will transform the way you understand competitive advantage and improve your company's financial performance. The authors explain the customer's journey in evaluating what makes a product or service meaningful and unique in the marketplace. They show you how to navigate and translate that evaluation process into sustained revenue. Pay Back offers a step-by-step guide to a continuous process linking product and service investments with realized customer perceptions of value and, ultimately, the firm's financial results. It combines a practical perspective on customer value with a grounded framework you can implement at your own firm. The book offers: <ul> <li>Proven strategies for creating, positioning, and pricing products and services that are meaningful and unique to customers</li> <li>Insightful illustrations of how today's typical interactions between companies and customers unnecessarily waste value, to the detriment of both parties</li> <li>Pricing and monetization techniques that help leaders focus on profitable ways to capture value from different groups of customers </li> </ul> Perfect for company executives who set product and service strategy, Pay Back is also a must-read guide for seasoned business leaders trying to turn around underperforming product lines, as well as MBA students and anyone else with an interest in practical business strategies that deliver results.

Turning Customer Value Into Lasting Revenue

Pay Back

Oñati International Series in Law and Society

This book brings together theoretical and empirical research, as well as interdisciplinary and comparative studies with the aim to direct the contemporary debates within the field of ombud scholarship. Most countries have public ombud institutions that are supposed to function as mechanisms of dispute resolution outside courts for citizens seeking redress for complaints against public bodies. While research on these oversight bodies has long focused on legal aspects, since the last decade scholars have increasingly become interested in historical, political and social aspects. This book makes a contribution in this multi-disciplinary field by filling two key gaps in the literature: the first part showcases recent empirical research, the second part covers critical analytical approaches. Taken together, this volume promotes a social science oriented understanding of ombud institutions as embedded in specific social contexts, which are formed by societal forces while also contributing to the shaping of modern societies. Critical examination of how and under which conditions ombuds operate enables us to identify blind spots in both the literature and practice. On the basis of case studies from different world regions, including Austria, Australia, Colombia, France, Germany, Ireland, Netherlands, Spain, Turkey, the UK and the USA, investigated from various disciplinary perspectives, the contributions develop the field of ombud research further. Its contents and accessible style make the book relevant for anyone interested in ombud and oversight institutions: academics, researchers, students, and practitioners alike.

Empirical and Critical Perspectives

New Directions in Ombud Research

World Scientific Lecture Notes In Economics And Policy

This book attempts to understand the operation and properties of 'market economies'. We do this by carefully examining, refining and in some cases extending the major theorems that Microeconomics has established in response to the Walrasian conjecture. We critically evaluate theorems and results, that assert the existence, uniqueness, stability, optimality and empirical relevance of Walrasian equilibrium states. As a result of our work, we attempt to comment on the wisdom of recommending that socio-economic systems operate as a collection of deregulated competitive markets.

Lectures In General Equilibrium Microeconomics

Interpretation and Application of Generally Accepted Accounting Principles

Wiley GAAP 2027

Build strategic and technological insight at the intersection of finance and innovation. Principles of Fintech by Alex Zarifis is a practical textbook designed for undergraduate and postgraduate students in business and financial management. Closely aligned with modules in Fintech, digital finance and financial innovation, it equips learners with the knowledge and applied frameworks needed to understand, evaluate and implement financial technologies across contemporary systems. This textbook explores the core technologies and business models shaping the Fintech landscape, from generative AI and blockchain to digital payments, InsurTech and WealthTech. Students are guided through how fintech solutions are developed, implemented and scaled, while critically assessing issues of ethics, governance, regulation and risk management. This textbook includes: - Clear learning objectives and summaries to frame each chapter and consolidate understanding - Applied frameworks linking theory to financial practice - Reflective questions and activities to encourage deeper analysis - Real-world examples to strengthen critical evaluation With its balanced integration of theory, application and critical reflection, Principles of Fintech prepares students to contribute to the evolving world of digital finance and financial innovation.

Financial Technology, Business Models and Strategic Innovation

Principles of Fintech

Renowned economist Josh Ryan-Collins provides the ideal pedagogical resource for anyone concerned with the major role central banks play in shaping all of our economic opportunities and daily lives. This book provides a concise, authoritative overview of the history and stated purpose of central banks. With critiques of principles and actions that have emerged since the 2008 crash, Ryan-Collins's own and others' proposals offer a solution of how to reform them. In a clear, easy-to-follow structure, it offers historical-normative descriptions of the evolution and role of central banks alongside "myth-busting" chapters explaining the salient critiques of, and proposed alternatives to, principles at the heart of central-bank thinking. Along the way, it covers the major issues preoccupying critical central banking studies and political economics today, including housing inequalities, climate change, digital currencies, and the potential impact of artificial intelligence.

Rethinking Central Banking and Macrofinancial Policy for the Age of Polycrisis

The Gods that Failed

Modern Trends In Financial Engineering

Multiscale Financial Data Analytics and Machine Learning offers a systematic and comprehensive study on the multiscale approach to financial data analytics and machine learning. This book covers an array of multiscale methods to discover the properties of various timescales embedded in a financial time series, including noise-assisted empirical mode decomposition methods. Important interpretable multiscale outputs from the estimation are recognized as a new set of features that can be used for machine learning. The feature selection problem for machine learning is examined in this volume.This book offers an applied quantitative approach that combines novel analytical methodologies and practical applications to a wide array of examples with real-world data. It is self-contained and organized in its presentation. The explanations of the methodologies are both accessible and detailed enough to capture the interest of the curious student or researcher. Step-by-step descriptions of the algorithms are provided for straightforward implementation.

Multiscale Financial Data Analytics And Machine Learning

The book Finance in Non-Financial Problems applies the concept of finance to non-financial problems including politics, the market for ideas, social networks, free trade, and the law. The principal objective is to use techniques such as portfolio theory, diversification, options, and market efficiency in areas where they have not previously been used. Finance in Non-Financial Problems is then an interdisciplinary resource applying the techniques of uncertainty to new disciplines, providing a new way to look at old problems, presenting problems in the social sciences with a new perspective, and allowing readers to consider political, legal, and social issues in a new way.

Finance In Non-financial Problems

The Godfather of Finance Teaches You the Master Plan for Achieving Financial Freedom

An Offer You Can't Refuse

Legal Data, Digital Assets and Smart Contracts for Capital Markets

Sportrecht

Deep Learning in Banking

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