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Marrow I: What We Had to Sell

What We Had to Sell

Downsizing After Financial Hardship - The Real Cost of Selling What You Own to Survive a Financial Crisis

An insider's account of how technology replaced traders and reshaped Wall Street Million Dollar Frat Boys: How Wall Street's Tech Geeks Took Over and Changed the Game chronicles the four-decade transformation of financial markets from testosterone-fueled trading pits to algorithm-driven operations. David Weisberger, co-founder of CoinRoutes and a 40-year veteran of firms including Morgan Stanley, Salomon Brothers, and Citigroup, delivers a first-person account that challenges popular myths about modern markets. Million Dollar Frat Boys traces Weisberger's career from pioneering the first program trading system at Morgan Stanley through the rise of automated risk management and quantitative strategies. The book confronts persistent misconceptions about rigged markets, explains how automation has actually improved fairness for small investors, and extends its analysis into the digital asset and cryptocurrency trading landscape. Readers will also discover: <ul> <li>How Wall Street evolved from human-driven trading floors to high-frequency, technology-based operations over four decades</li> <li>Why popular narratives about market manipulation often misrepresent how modern electronic trading actually benefits retail investors</li> <li>Insider perspectives on regulatory debates, SEC policy decisions, and investigations into major market events like the Flash Crash</li> <li>How traditional trading technology and quantitative strategies are now shaping the cryptocurrency and digital asset markets</li> <li>Sharp, entertaining storytelling that pairs trading-floor anecdotes with analysis of market structure and financial automation</li> </ul> Written for retail investors, financial professionals, and readers who enjoy narrative finance, Million Dollar Frat Boys offers an informed insider's perspective on the real forces driving modern markets. It is equally suited for tech enthusiasts and digital asset investors seeking to understand how algorithmic trading continues to reshape finance.

and How Wall Street's Tech Geeks Took Over and Changed the Game

Million Dollar Frat Boys

Banking, Money and International Finance

Human-Centred Intelligent Finance

AI, Fintech, and the Future of Global Financial Systems

Reactive PublishingIn volatile macro environments, conventional diversification models often break down precisely when protection is needed most. Tail-Risk Hedging &amp; Asymmetric Options provides a precise framework for constructing derivative structures designed to withstand extreme market dislocation.Written for portfolio managers, options traders, and risk strategists, this volume moves past basic directional plays to explore the mechanics of non-linear payoff profiles.Key topics covered include: <ul><li>Asymmetric Structure Design: Core principles behind convex payoff profiles and tail-risk positioning.</li><li>Volatility Architecture: Evaluating implied volatility surfaces, skew dynamics, and path dependence in stressed conditions.</li><li>Capital Efficiency: Balancing drag, carry costs, and execution timing when maintaining ongoing downside protection.</li><li>Market Fragility Dynamics: Analyzing structural liquidity risks and systemic vulnerabilities across modern asset classes.</li></ul>Designed as an analytical reference, this book outlines the quantitative and structural considerations required to engineer anti-fragile options frameworks in shifting markets.

Asymmetric Options and Non-Linear Payoffs in Fragile Markets

Tail-Risk Hedging

Stop letting banks capture revenue that belongs to your business The Idle Billions: Loyalty, Float, and Fintech Strategies that Put Money to Work&nbsp;is the first major fintech book written for a general business audience. David F. Giannetto, CEO of Netchex, who grew WorkWave from $50 million to nearly $500 million in revenue by embedding fintech solutions directly into software products, provides a practical roadmap for capitalizing on the money flowing through your organization. The Idle Billions examines how companies like Apple, Uber, and Starbucks have unlocked hidden revenue streams by taking control of money flows previously ceded to banks. Giannetto and Ablowitz offer actionable guidance on embedded lending, earned wage access, and other fintech tools, along with strategies for deciding whether to build or partner and overcoming common implementation obstacles. Readers will also find: <ul> <li>Real-world case studies showing how Uber generates $2.99 transaction fees on earned wage access and Starbucks profits from idle gift card balances</li> <li>Strategies for building multi-level economic relationships that keep revenue circulating within your ecosystem instead of leaking to banks</li> <li>Guidance on embedding financial instruments such as credit cards, lending, payroll, and insurance directly into your existing software solutions</li> <li>Frameworks for understanding how money moves through your organization and identifying untapped opportunities to monetize those flows</li> <li>Practical approaches to attracting and retaining top talent through innovative fintech-enabled employee benefits and compensation models</li> </ul> Written for business leaders across all industries, from Fortune 500 executives to small software company founders, The Idle Billions delivers a strategic framework for anyone seeking to reclaim control of financial flows and turn idle capital into new, sustainable revenue streams within a $209.7 billion global fintech market.

Loyalty, Float, and Fintech Strategies that Put Money to Work

The Idle Billions

Routledge Studies in Accounting

Implications for Practice, Education, and Research

Generative AI and Agentic Systems in Accounting

Jan Dash brings readers a unique guide to the theory and practice of quantitative finance and risk management, from basic fundamentals to state of the art innovations. Readers will also find a useful business-relevant, wide-ranging overview of essential climate change risks and mitigation opportunities. Personal "Life as a Quant" stories, plus "how to" and "what it's like" examples, make topics come alive. Expanded, updated material is included, retaining the solid foundations of earlier editions.

Quantitative Finance, Climate Change, And Risk Management: A Physicist's Approach (Third Edition)

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

Why Your Business Isn't Making the Money It Should and How to Fix It

The Profit Gap

Regulating the Future of Work

Legal Governance of Agentic AI and Autonomous Agents

Security, Audit and Leadership Series

Organizational Debt and AI Failure: Why Your AI Project Fails challenges the assumption that unsuccessful artificial intelligence initiatives are primarily caused by weak models, insufficient computing power, or poor technology choices. Instead, Scott Andersen argues that AI often fails because it is introduced into organizations carrying years of unresolved structural debt.The book presents a practical framework for identifying and managing five interconnected forms of organizational debt: technical, data, personnel, security, and embedded debt. Technical debt creates fragile architectures and brittle integrations. Data debt undermines meaning, lineage, context, and trust. Personnel debt appears through skill gaps, unclear responsibilities, burnout, and dependence on a few critical individuals. Security debt weakens identity, governance, assurance, and accountability. Embedded debt connects them through undocumented assumptions, informal processes, workarounds, and hidden dependencies.AI does not necessarily create these weaknesses-it exposes and accelerates them. Processes that remained stable through human judgment and manual intervention can collapse when automated systems begin operating continuously and at machine speed. What appeared to be resilience may have depended on people quietly compensating for organizational problems.Drawing on decades of enterprise architecture and technology experience, Andersen explains why promising pilots become trapped in "pilot purgatory," why local improvements can increase systemwide risk, and why failures frequently emerge at the seams between technologies, teams, data, and decision authorities. He introduces practical concepts and measures-including Total AI Debt Exposure and Total AI Operational Pressure-to help leaders make risk visible and actionable.This book is written for executives, architects, technology leaders, security professionals, data teams, program managers, and organizations preparing to scale AI. Its central message is direct: successful AI transformation does not begin with adoption. It begins with organizational truth. By identifying, measuring, and governing the debt already present, organizations can move beyond experimentation and build AI systems that achieve delivery, adoption, and sustained operational value.

Why your AI projects fail

Organizational Debt

Have you ever been told that cutting your spending is the key to financial freedom? Or that only a fool would try to make money by picking stocks? Or that buying your home is always a smart investment? Most of us have heard these truisms from friends, from family, even from financial experts. They are held up as nuggets of timeless wisdom. There's just one problem: none of them is true. Over the last decade, the world of money has transformed - but mainstream financial advice hasn't caught up. We're being fed money advice that will only take us further from our financial goals. Here, a leading investor debunks seven of the most common misconceptions about money, and explains why the true path to wealth is dramatically different from what you've been told. Confounding and eminently practical, Seven Myths About Money sketches out a radically new route to financial freedom - one fit for the twenty-first century.

Siete Mitos Sobre El Dinero

ESSENTIALS OF DERIVATIVE SECURITIES

What We Had to Sell

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