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Johnson W: Quantitative Portfolio
Construction

Quantitative Portfolio Construction

Balancing Risk and Reward with Precision

This textbook examines how artificial intelligence, machine learning, generative AI, and data-driven decision systems are reshaping financial services. Moving from core AI concepts to applied financial use cases, it covers credit risk assessment, fraud detection, Monte Carlo methods, stock and cryptocurrency valuation, knowledge graphs, AI-enabled IoT, large language models, Retrieval-Augmented Generation (RAG), AI agents, and no-code AI platforms. It also looks at infrastructure choices for enterprise AI, including cloud and on-premise deployment, before turning to sustainable finance, greenwashing detection, and AI governance in regulated environments. Throughout, the book emphasizes decision quality, transparency, accountability, model risk management, and practical implementation. It will be of interest to upper-level undergraduate and postgraduate students in finance, banking, FinTech, risk management, and business analytics, as well as practitioners seeking a structured introduction to AI applications and governance in finance.
 Migdat Hodžić
 is Principal and Chief Technology Officer at ARTI Analytics and a professor at the International University of Sarajevo and Džemal Bijedić University of Mostar. He holds a PhD from Santa Clara University and works across artificial intelligence, machine learning, optimization, and quantitative finance. He has led applied AI research and product development in Europe and the United States and is an inventor on multiple US patents.
 Tarik Hubana
 is Chief Operating Officer at ARTI Analytics and Assistant Professor at Džemal Bijedić University of Mostar. He holds a PhD in technical sciences from TU Graz and works on applied AI, machine learning, predictive modelling, and enterprise AI systems. His academic and industry experience spans analytics, digital transformation, and AI deployment in data-intensive sectors. He leads applied AI research and product development in Europe and the United States and is an inventor on multiple US patents.
 Admir Mešković
 is Assistant Professor of Finance at the International University of Sarajevo and Manager of the Center for Islamic Finance, Innovation and Sustainability. He holds a PhD in Finance from the University of Sarajevo and an MBA from Durham University Business School. His research focuses on Islamic finance, FinTech, risk management, and sustainable finance.

This textbook examines how artificial intelligence, machine learning, generative AI, and data-driven decision systems are reshaping financial services. Moving from core AI concepts to applied financial use cases, it covers credit risk assessment, fraud detection, Monte Carlo methods, stock and cryptocurrency valuation, knowledge graphs, AI-enabled IoT, large language models, Retrieval-Augmented Generation (RAG), AI agents, and no-code AI platforms. It also looks at infrastructure choices for enterprise AI, including cloud and on-premise deployment, before turning to sustainable finance, greenwashing detection, and AI governance in regulated environments. Throughout, the book emphasizes decision quality, transparency, accountability, model risk management, and practical implementation. It will be of interest to upper-level undergraduate and postgraduate students in finance, banking, FinTech, risk management, and business analytics, as well as practitioners seeking a structured introduction to AI applications and governance in finance.

From Theory to Practice

Artificial Intelligence in Finance

We’ve been on a raucous, century-long merry-go-round of dueling ideas and personalities: efficient versus inefficient markets; rational versus irrational investors; concepts of risk so profoundly different they don’t seem to reside on the same planet; rich families for whom money is among their least important characteristics; bitter, lifelong feuds. Along the way we’ve met some odd characters and had some amusing experiences.This book brings together the foundational ideas that have shaped investment and wealth management over the past hundred years. Curating thirty landmark works—from Benjamin Graham’s The Intelligent Investor to contemporary classics on behavioral finance and family governance—the book offers a structured guide to the principles, strategies, and philosophies that underpin successful wealth stewardship.Organized in three parts, the book surveys twentieth-century investment breakthroughs, twenty-first-century innovations, and the emerging canon of private wealth management. Each chapter distills the essence of a classic text, explains its historical significance, and demonstrates its relevance for today’s advisors and families. Topics include modern portfolio theory, risk management, behavioral economics, family enterprise governance, and intergenerational planning.Designed as an accessible reference for practitioners and informed readers, this book addresses the complexity of managing family capital—taxes, trusts, governance, and human dynamics—while grounding practice in enduring ideas. By synthesizing a century of scholarship and experience, A Century of Wealth Management Wisdom provides wealth advisors, estate planners, and family office professionals with a definitive resource for navigating the challenges of preserving and growing capital across generations.Gregory Curtis&nbsp;
 is the author of eight books, including three investment books: 
 Family Capital, The Stewardship of Wealth, and Creative Capital
 . He is the author of nearly 50 white papers and journal articles on a variety of investment topics. He has lectured at Harvard Law School, the Tepper School at Carnegie Mellon University, and the University of Pittsburgh School of Law, all in the USA. He has also lectured at the University of Zurich in Switzerland, the University of Vienna in Austria, and Corvinus University in Hungary.

We’ve been on a raucous, century-long merry-go-round of dueling ideas and personalities: efficient versus inefficient markets; rational versus irrational investors; concepts of risk so profoundly different they don’t seem to reside on the same planet; rich families for whom money is among their least important characteristics; bitter, lifelong feuds. Along the way we’ve met some odd characters and had some amusing experiences.This book brings together the foundational ideas that have shaped investment and wealth management over the past hundred years. Curating thirty landmark works—from Benjamin Graham’s The Intelligent Investor to contemporary classics on behavioral finance and family governance—the book offers a structured guide to the principles, strategies, and philosophies that underpin successful wealth stewardship.Organized in three parts, the book surveys twentieth-century investment breakthroughs, twenty-first-century innovations, and the emerging canon of private wealth management. Each chapter distills the essence of a classic text, explains its historical significance, and demonstrates its relevance for today’s advisors and families. Topics include modern portfolio theory, risk management, behavioral economics, family enterprise governance, and intergenerational planning.Designed as an accessible reference for practitioners and informed readers, this book addresses the complexity of managing family capital—taxes, trusts, governance, and human dynamics—while grounding practice in enduring ideas. By synthesizing a century of scholarship and experience, A Century of Wealth Management Wisdom provides wealth advisors, estate planners, and family office professionals with a definitive resource for navigating the challenges of preserving and growing capital across generations.

Classic Ideas and Contemporary Strategies for Family Capital and Investment Practice

A Century of Wealth Management Wisdom

An essential resource for courses in innovation management and new business development. As organizations face increasing pressure to innovate in rapidly evolving markets, understanding how to develop and implement successful innovations has never been more important. This fully updated second edition explores innovation management beyond new products, examining the development of new services and business models across a variety of industry contexts. Featuring evidence-based insights supported by numerous practical examples, exercises and discussion questions throughout, and multimedia resources via the companion website, this book equips students with the concepts, tools, and insights needed to understand innovation in contemporary organisations. New to this edition: - New material on Artificial intelligence (AI), design thinking, lean innovation and organizational learning. - Contemporary perspectives and up-to-date research - Strategy chapter given more prominence - Greater level of historical overview Combining academic rigour with practical relevance, the book guides students through the challenges of identifying opportunities, developing innovative solutions, and creating value through new services and business models. An accessible and engaging introduction to innovation management for undergraduate students and a valuable reference for aspiring managers and entrepreneurs.

Innovation Management

Springer Texts in Business and Economics

The third volume of this textbook contains problem sets that allow models to be applied to specific scenarios. The aim of these problems is to show the relevance of the results these models provide to analyse events, provide recommendations, or critique decisions made. This is achievable without referring to the details of the model and the formal mathematical results but using the often scarce information provided to approach the problem intuitively, informed by the models discussed in volumes I and II. Using such an approach also strengthens the understanding of the implications these models have for decision-making in banks or by policymakers.

The third volume of this textbook contains problem sets that allow models to be applied to specific scenarios. The aim of these problems is to show the relevance of the results these models provide to analyse events, provide recommendations, or critique decisions made. This is achievable without referring to the details of the model and the formal mathematical results but using the often scarce information provided to approach the problem intuitively, informed by the models discussed in volumes I and II. Using such an approach also strengthens the understanding of the implications these models have for decision-making in banks or by policymakers.

Problem Sets

Theoretical Foundations of Commercial Banking - Vol.3

Cyberangriffe gehören heute zu den größten Unternehmensrisiken. Dieses Buch zeigt Aufsichtsräten und Vorständen, wie sie Cyberrisiken wirksam überwachen, fundierte Entscheidungen treffen und ihrer Verantwortung für Cybersecurity gerecht werden. Es behandelt die aktuelle Bedrohungslage, regulatorische Anforderungen wie NIS-2 und DORA sowie die Rolle des Aufsichtsrats in der Cybersecurity-Governance. Das Buch erklärt, wie Cybersecurity strategisch verankert, Risiken gesteuert und verständlich berichtet werden. Weitere Schwerpunkte sind der Aufbau einer sicheren Organisation, Audits, Krisenmanagement sowie Zukunftstrends wie Künstliche Intelligenz. Geschrieben von einem DAX-40-CISO und einer erfahrenen Aufsichtsrätin verbindet es operative Erfahrung mit den Anforderungen der Corporate Governance. Im Mittelpunkt stehen konkrete Fragen, mit denen Aufsichtsräte Risiken besser bewerten, Managemententscheidungen kritisch hinterfragen und die Cyber-Resilienz ihres Unternehmens nachhaltig stärken können.

Cyberangriffe gehören heute zu den größten Unternehmensrisiken. Dieses Buch zeigt Aufsichtsräten und Vorständen, wie sie Cyberrisiken wirksam überwachen, fundierte Entscheidungen treffen und ihrer Verantwortung für Cybersecurity gerecht werden. Es behandelt die aktuelle Bedrohungslage, regulatorische Anforderungen wie NIS-2 und DORA sowie die Rolle des Aufsichtsrats in der Cybersecurity-Governance. Das Buch erklärt, wie Cybersecurity strategisch verankert, Risiken gesteuert und verständlich berichtet werden. Weitere Schwerpunkte sind der Aufbau einer sicheren Organisation, Audits, Krisenmanagement sowie Zukunftstrends wie Künstliche Intelligenz.
 
 Geschrieben von einem DAX-40-CISO und einer erfahrenen Aufsichtsrätin verbindet es operative Erfahrung mit den Anforderungen der Corporate Governance. Im Mittelpunkt stehen konkrete Fragen, mit denen Aufsichtsräte Risiken besser bewerten, Managemententscheidungen kritisch hinterfragen und die Cyber-Resilienz ihres Unternehmens nachhaltig stärken können.

Was Aufsichtsräte fragen und Vorstände beantworten müssen

Risiko Cybersecurity

Your friendly all-in-one guide to managing projects like a pro Project management has become a core skill across every industry, whether or not you carry a formal PM title. Project Management All-in-One For Dummies, 2nd Edition gives you a single, practical reference covering foundational principles, modern delivery approaches, certification-aligned thinking, and AI-supported workflows. You'll find clear guidance that connects theory to real-world execution, so you can plan, lead, and deliver projects with confidence. Get the hang of scope, scheduling, budgeting, risk, and stakeholder communication. Explore hybrid, agile, and traditional methodologies so you can pick the right approach for any project. Discover how AI tools fit into planning, analysis, documentation, and problem-solving. You'll also find certification-relevant concepts drawn from PMP-aligned material, presented in an accessible way that supports your career growth. Inside this guide: <ul> <li>Learn core project management fundamentals, from defining scope and setting budgets to managing risk across your projects</li> <li>Explore agile, hybrid, and traditional delivery methodologies to find the right fit for your team and goals</li> <li>Discover how AI-powered tools can streamline your planning, tracking, documentation, and everyday project workflows</li> <li>Build stronger leadership and stakeholder management strategies that work in real organizations and real situations</li> <li>Find certification-aligned concepts that prepare you for PMP-level thinking </li> </ul> Whether you're tackling your first project or refreshing skills you've built over years, this Dummies guide covers everything from fundamentals to AI-powered workflows in one place. It's perfect for professionals at any experience level who want practical project management guidance.

Project Management All-in-One For Dummies

The primary objective of this work is to develop a behavioral basis for an AI algorithm to assist managers of finance, production, and marketing divisions of firms in imperfect markets. Production, sales revenue, external finance, and networth (market value of the fixed assets) have the pivotal role as objectives. However, all of them cannot be maximized simultaneously due to the interdependence among them. The managers tend to pursue the most valuable objective using the most productive strategy at each point of time. This was utilized as a basis for the AI algorithm. Non-linearities in the switches in objectives and strategies are a short run phenomenon while swaps will be preferred if firms have a long run advantage. Such observed phenomena were also incorporated in the specification of the AI algorithms. The important results are as follows. (i) In most industries the shortage of demand is not a constraint. Instead, the ability of firms to increase their strategic supply is dominant. (ii) Most firms pursue strategic supply based on the capital stock available. This indicates a preference for external finance. (iii) In the short run firms utilize working capital finance and selling costs to ensure that the sales revenue achieved is commensurate with the strategic supply. (iv) Thus, the postulate that expected demand determines the strategic supply as well as the profit maximization postulate for the short run do not appear as the priorities.

The primary objective of this work is to develop a behavioral basis for an AI algorithm to assist managers of finance, production, and marketing divisions of firms in imperfect markets. Production, sales revenue, external finance, and networth (market value of the fixed assets) have the pivotal role as objectives. However, all of them cannot be maximized simultaneously due to the interdependence among them. The managers tend to pursue the most valuable objective using the most productive strategy at each point of time. This was utilized as a basis for the AI algorithm. Non-linearities in the switches in objectives and strategies are a short run phenomenon while swaps will be preferred if firms have a long run advantage. Such observed phenomena were also incorporated in the specification of the AI algorithms.&nbsp;The important results are as follows. (i) In most industries the shortage of demand is not a constraint. Instead, the ability of firms to increase their strategic supply is dominant. (ii) Most firms pursue strategic supply based on the capital stock available. This indicates a preference for external finance. (iii) In the short run firms utilize working capital finance and selling costs to ensure that the sales revenue achieved is commensurate with the strategic supply. (iv) Thus, the postulate that expected demand determines the strategic supply as well as the profit maximization postulate for the short run do not appear as the priorities.

Towards an AI Algorithm for Multiple Objectives in Imperfect Markets

Feel confident buying and selling stocks in any type of market Trading stocks, bonds, currencies, and commodities can be a rewarding way to grow your wealth, but success depends on knowing when to buy and when to sell. Trading For Dummies, 6th Edition is your friendly guide that focuses mostly on position trading, a strategy that involves analyzing a company's performance, studying trends and key indicators, and holding stocks longer than day traders to benefit from long-term capital gains. You'll get access to sample stock charts that show you how to spot opportunities, along with position trading tips and techniques you can put to work right away. Learn how to build detailed watch lists, identify strong candidates for your portfolio, and analyze trends and indicators using fresh approaches. This book covers due diligence strategies and helps you build a more aggressive portfolio with confidence. Inside: <ul> <li>Discover how position trading differs from day trading and swing trading and why that matters for you</li> <li>Build effective watch lists to carefully track and identify the strongest stock candidates for your portfolio</li> <li>Explore practical techniques for reading stock charts and spotting trends before you decide to buy or sell</li> <li>Get actionable tips on analyzing key indicators and performing thorough due diligence on your potential trades</li> <li>Find strategies for managing risk and making confident, smart decisions in both up and down markets</li> <li>Understand how AI makes an impact</li> </ul> Whether you're just getting started or looking to sharpen your trading skills, this Dummies guide gives you the tools and confidence to trade wisely. From building watch lists to reading stock charts, you'll have what you need. Time to make your move!

Trading For Dummies

This Palgrave Pivot develops an interdisciplinary approach to household financial decision-making by integrating behavioral finance, consumer finance, financial planning, and human-centered artificial intelligence. Moving beyond investor- and market-focused traditions, it situates financial risk tolerance, financial stress, and dynamic behavioral signals within the lived contexts of households, advisors, and institutions. The book reconceptualizes risk tolerance as a time-varying behavioral construct, positions financial stress as a core mechanism shaping decision-making and well-being, and introduces a framework of behavioral signals, including consumer complaints, sentiment, and market mood, that may precede price movements.It further examines how machine learning and AI can interpret these signals while reshaping financial advice, alongside their methodological limits and ethical implications for accountability and client autonomy. By linking psychological states, behavioral data, and advisory practice, the book offers a structured research agenda for behavioral personal finance and contributes to debates on financial well-being, vulnerability, and technology-mediated decision-making. It will be of interest to scholars and advanced students in behavioral finance, financial planning, consumer science, and decision psychology, as well as practitioners and policymakers concerned with AI and household financial behavior.Wookjae Heo
 is Associate Professor of Consumer Science at Purdue University. His research focuses on financial risk tolerance, financial stress, consumer financial behavior, and the application of machine learning and natural language processing in personal finance. He has published widely in leading journals in consumer finance and financial planning and is known for advancing behavioral personal finance as an interdisciplinary field linking household decision-making, well-being, and human-centered AI.

This Palgrave Pivot develops an interdisciplinary approach to household financial decision-making by integrating behavioral finance, consumer finance, financial planning, and human-centered artificial intelligence. Moving beyond investor- and market-focused traditions, it situates financial risk tolerance, financial stress, and dynamic behavioral signals within the lived contexts of households, advisors, and institutions. The book reconceptualizes risk tolerance as a time-varying behavioral construct, positions financial stress as a core mechanism shaping decision-making and well-being, and introduces a framework of behavioral signals, including consumer complaints, sentiment, and market mood, that may precede price movements.It further examines how machine learning and AI can interpret these signals while reshaping financial advice, alongside their methodological limits and ethical implications for accountability and client autonomy. By linking psychological states, behavioral data, and advisory practice, the book offers a structured research agenda for behavioral personal finance and contributes to debates on financial well-being, vulnerability, and technology-mediated decision-making. It will be of interest to scholars and advanced students in behavioral finance, financial planning, consumer science, and decision psychology, as well as practitioners and policymakers concerned with AI and household financial behavior.

Risk Tolerance, Financial Stress, and Human-Centered AI

Behavioral Personal Finance

How most investing decisions differ from what the data say works—and how replacing myth with measurement can improve outcomes. The Accidental Venture Capitalist examines how early-stage investment decisions are actually made—and why so many of them diverge from what the evidence says should work. Written by an academic-turned-venture capitalist Scott Shane, the book sits at the intersection of rigorous research and lived investing experience. Its central premise is simple but uncomfortable: in venture capital, folklore and intuition dominate practice, even though decades of empirical research offer more reliable guidance on selection, pricing, portfolio construction, and incentives. The book follows the full arc of the venture process, from fund design and deal sourcing to valuation, syndication, follow-on investing, governance, and exits. Each chapter takes a familiar maxim—“bet on the jockey,” “do more diligence,” “double down on winners”—and tests it against large-sample academic evidence and real investment outcomes. Shane’s analysis is grounded in power-law economics, behavioral decision-making, and incentive alignment. And he is transparent about mistakes as well as successes, treating his own funds as a living laboratory rather than a victory lap. The book also offers practical tools—checklists, heuristics, simple models—that translate evidence into decisions investors can actually implement.

Why Evidence Beats Instinct in Early-Stage Investing

The Accidental Venture Capitalist

Dynamics, Risks and Systemic Implications

The Leveraged Loan Market

Quantitative Portfolio Construction

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