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Davis P: Business Analytics

Business Analytics

From Data to Decision

Das Fachbuch verknüpft die Diskussion virtueller Währungen mit möglichen Auswirkungen von Bitcoin und Co. auf Zentralbankpolitik. Es richtet sich sowohl an Wissenschaftler, Experten und Praktiker als auch an interessierte Laien. Im ersten Teil bietet es einen Überblick über Geld, Geldtheorien und die Funktionsweise des konventionellen Geldsystems sowie seine aktuellen Probleme und Herausforderungen. Zu letzteren zählen insbesondere virtuelle Währungen, allen voran Bitcoin. Der zweite Teil des Buches widmet sich daher zunächst ausführlich ihrer Abgrenzung zu Fiatgeld, ihren Nutzern und Regulierungsfragen. Das Hauptaugenmerk liegt schließlich auf der Bedeutung virtueller Währungen für Zentralbanken im Hinblick auf Auswirkungen auf den Geldmarkt und weitere relevante Politikfelder. Hier werden mögliche Reaktionen der Zentralbanken diskutiert und ob virtuelle Währungen eine ernstzunehmende Gefahr für das Geldschöpfungsmonopol sowie eine tatsächliche Konkurrenz im Geldsystem darstellen. Das Buch schließt mit einem Blick auf die Blockchain-Technologie und ihrer Bedeutung für verschiedene Finanzbranchen.
 
 Die AutorinDr. Beate Sauer ist wissenschaftliche Mitarbeiterin und Postdoc am Institut für Ökonomie und Recht der globalen Wirtschaft an der Universität der Bundeswehr München und Dozentin für volkswirtschaftliche Vorlesungen an der Hochschule des Bundes für öffentliche Verwaltung in Haar.

Konkurrenz im Geldsystem?

Virtuelle Währungen und Zentralbanken

The eight postures that make management conversations work (and how to choose the right one every time)

The Deliberate Manager

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

Financial Statement Analysis and Security Valuation ISE

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

What works-and what doesn't-when companies try to do goodCan companies really be "socially responsible"-and should they try? This debate is newly urgent as consumers, employees, and investors push companies to take a stand on everything from climate change to inequality. In this lively and clear-eyed book, economist Ray Fisman cuts through the rhetoric around "doing well by doing good" to show what actually changes corporate behavior and what doesn't-and what corporations should really do if they have society's interests at heart. He will answer questions many of us may be asking:¿ Will consumers pay more for eco-friendly products? ¿ Will employees work harder if they're paid a living wage? ¿ Do ESG (environmental, social, and governance) funds make a difference? ¿ Should you pay more for fair-trade coffee at your local café? (Yes, you should.)Drawing on decades of evidence, Fisman examines which approaches to corporate responsibility make a genuine difference-and which are cheap talk, or worse. The result is a practical framework for understanding the tradeoffs between profit and purpose, recognizing which efforts to do good are likely to succeed, and how your choices can push companies to do better.

The Economics of Making Business Do the Greatest Good

The Model Company

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

We vow for richer for poorer. We sacrifice for our children, we give back to our parents. Because in true love and family matters, money's irrelevant and it would be terrible to suggest otherwise. Right?

The Modern Money Questions That Could Save Your Relationships

Yours or Mine?

A Financial Times Book of the Year No other phenomenon has shaped human history as decisively as capitalism. It structures how we live and work, how we think about ourselves and others, how we organise our politics. Sven Beckert situates the story of capitalism within the largest conceivable geographical and historical framework in this fascinating new book. Capitalism, argues Beckert, was born global. Emerging from merchant communities across Asia, Africa and Europe, capitalism's radical recasting of economic life rooted itself only gradually. Then it burst onto the world scene, as European states and merchants built a powerful alliance that would propel them across the oceans. This epic drama corresponded at no point to an idealised dream of free markets. All along, state-backed institutions and imperial expansions shaped its dynamics. Capitalism decentres the European perspective, highlighting agency, resistance, innovation and ruthless coercion around the world through to the present with the rise of Asian economies, particularly China. Sven Beckert doesn't merely add up capitalism's debits and credits in this monumental book, but allows us to think afresh about the past to help us re-imagine the future.

A Global History

Capitalism

Commonwealth Caribbean Law

Commonwealth Caribbean Criminal Law is a comprehensive guide to criminal law, covering the jurisdictions of Barbados, Jamaica, Trinidad &amp; Tobago, the Bahamas, and Belize, with reference also to other jurisdictions such as Guyana and the OECS member states. Written by established lecturers at the University of the West Indies, this text is an essential guide for all students of criminal law in the region.

Commonwealth Caribbean Criminal Law

A dazzling exploration of the phenomenon of prediction betting markets that asks: what happens when democracy becomes another commodity? For many, Donald Trump's decisive election victory over Kamala Harris in 2024 was a shock. Traditional polls had the race on a razor's edge. But, for those with eyes on prediction betting markets, a very different story was being told. In recent years, prediction markets have swept the world, fundamentally changing the nature of the gambling market, and making their youthful pioneers billionaires. Posed as binary 'Yes/No' questions about future events, prediction bets allow any difference of opinion - whether on politics, wars, assassinations or popular culture - to be financialised. But are these markets really a new phenomenon? What does it mean when markets get closer to the truth than the institutions we built to protect us? And what happens when those tasked with safeguarding democracy possess financial stakes in its volatility? From Renaissance Rome, where merchants wagered on papal conclaves, through London coffee house gossip during the Napoleonic Wars, to the Pentagon's ill-fated terrorism futures exchange, The Big Bet describes the full five-hundred-year arc of a permissive regime which no one designed and no one voted for. Drawing on deep expertise, Michael Auerbach examines how these markets are changing our world, and what they mean for the future of our democratic self-governance. Because they are not an anomaly - they are the logical endpoint of a society that has applied market capitalism to every aspect of life. And in a world when everything is a wager and nothing is off limits, knowing where the chips will fall matters more than ever.

Prediction Markets and the Future of Democracy

The Big Bet

Business Analytics

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