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D. Parker M: Stock Strategies Success
Through Machine Learning

Stock Strategies Success Through Machine Learning

Implement AI strategies to optimise performance and deliver stronger customer experiences in tourism. Technology-Led Tourism is a practical guide for managers, department heads and industry professionals who want to develop credible strategies for applying AI across the travel sector. It bridges the gap between technology and tourism, offering frameworks you can implement to enhance both operational efficiency and guest engagement. Written by Shaon Talukder, this book draws on detailed real-world examples from Expedia, Amadeus, Delta Airlines and Airbnb to show how AI principles are already reshaping travel. With insights from adjacent industries such as finance and media, it highlights proven approaches that tourism professionals can adapt to stay competitive. You'll learn how to: - Apply AI frameworks to optimize operations and decision-making - Develop data foundations that enable scalable, reliable innovation - Implement principles from other industries to strengthen strategy - Build credibility by applying actionable tools to your own context - Translate AI opportunities into measurable career and business impact With clear models, real-world examples, and actionable guidance, Technology-Led Tourism equips mid- to senior-career professionals to implement strategies that not only improve performance but also elevate their role as informed, forward-looking leaders in the industry. Themes include: AI in tourism, travel strategy, data frameworks, operational efficiency, customer experience, innovation adoption

Leveraging AI, Data and Analytics in Travel

Technology-Led Tourism

Security, Audit and Leadership Series

This book explores the deep impact of AI and digital transformation on finance, its practices and decision intelligence processes. The book and its practical, analytical chapters present further insights regarding ways to effectively utilize AI, potentially even beyond the existing theoretical and practical knowledge. Regulatory, ethical, security and moral challenges and concerns associated with the use of AI in finance are thoroughly analyzed.Readers will take away a conceptual and practical understanding of AI and digitalization as well as real-world practical case studies, so that they can be applied appropriately in a workplace setting. It aims to differentiate itself by focusing more specifically on the practical realities of AI and digital transformation in decision-making processes within finance, offering actionable guidance and real-world case study or implications, which are less emphasized in most other competitors.The book is appropriate for experts and professionals interested in deployment of AI, digitalization and their implementation in finance. No doubt, academics, professionals, students and finance experts will find this book an informative practice resource. The book would suit anyone interested in AI and its broader applications in finance or its uses in decision-making processes.

AI-Driven Decision-Making in Finance

The Princeton Economic History of the Western World

Eurasian Trade and the Rise of the Business Corporation, 1400–1700

Going the Distance

The comprehensively updated new edition of a bestselling textbook that covers fundamental features of bonds, analytical techniques, and portfolio strategies. Now in its 11th edition, this bestselling textbook illuminates the complexities and dynamics of the bond markets, integrating rigorous technical content with real-world case studies to effectively bridge theory and application. Advances in technology and data availability have fundamentally transformed how fixed-income securities are valued, traded, and managed. This fully updated new edition addresses the growing demand for tools and techniques that support sophisticated decision-making in increasingly complex markets by incorporating the latest analytical frameworks and computational methods with a solid grounding in core principles. Designed for a broad audience, it gives students the fundamental knowledge they need to excel in portfolio management, trading, and risk analysis roles while equipping experienced practitioners with more profound insights into advanced strategies and contemporary challenges. New edition highlights: <ul><li>New chapters on analytical tools, bond trading mechanics, strategies, and backtesting</li><li>Cutting-edge topics include machine learning, NLP, and trading mechanics</li><li>Expanded coverage of corporate bond credit models, return attribution models, and the latest models analyzing convertible bonds</li><li>Extensive new appendices feature case studies from diverse practitioners</li><li>Pragmatic modular structuring adapts to diverse course designs</li><li>End-of-chapter internet questions, slides, and solutions</li></ul>

The comprehensively updated new edition of a bestselling textbook that covers fundamental features of bonds, analytical techniques, and portfolio strategies. Now in its 11th edition, this bestselling textbook illuminates the complexities and dynamics of the bond markets, integrating rigorous technical content with real-world case studies to effectively bridge theory and application. Advances in technology and data availability have fundamentally transformed how fixed-income securities are valued, traded, and managed. This fully updated new edition addresses the growing demand for tools and techniques that support sophisticated decision-making in increasingly complex markets by incorporating the latest analytical frameworks and computational methods with a solid grounding in core principles. Designed for a broad audience, it gives students the fundamental knowledge they need to excel in portfolio management, trading, and risk analysis roles while equipping experienced practitioners with more profound insights into advanced strategies and contemporary challenges. New edition highlights: <ul><li>New chapters on analytical tools, bond trading mechanics, strategies, and backtesting</li><li>Cutting-edge topics include machine learning, NLP, and trading mechanics</li><li>Expanded coverage of corporate bond credit models, return attribution models, and the latest models analyzing convertible bonds</li><li>Extensive new appendices feature case studies from diverse practitioners</li><li>Pragmatic modular structuring adapts to diverse course designs</li><li>End-of-chapter internet questions, slides, and solutions</li></ul>

Bond Markets, Analysis, and Strategies, eleventh edition

Between 2009 and 2026, gold tripled in value, the average American home doubled in price, and cryptocurrencies crashed into existence and soared to a total valuation of $3 trillion. This vast accumulation of wealth is not a sign of economic health. The world is now awash with so much money that investors struggle to find productive outlets for their cash. In Surplus, Marc Chandler argues that too much of a good thing can bring a society to its knees. After decades of striving for more, humanity is now suffocating under the weight of an unprecedented economic surplus — a global excess of capital and productive capacity that has grown too large to accommodate. Tracing the history of the surplus, from the first agricultural societies to today's age of negative interest rates and asset speculation, Chandler shows how every great surplus in human history has forced societies to remake their institutions and values. The current surplus is already reshaping the West, fostering inequality and straining the foundations of liberal democracy. Humanity has become like King Midas: everything we touch turns to gold. But unless we learn to manage the surplus, we will end up choking on the very abundance our societies were built to pursue. In this sweeping examination of surplus throughout civilizations, Surplus shows that times of plenty are an under-appreciated engine of economic growth and social development, sometimes providing a catalyst for radical transformations. Through memorable analogies and sharp insights, Chandler passionately argues for a new synthesis of freedom and equality, showing that the basis for such a transformation exists today precisely because of the vast surplus we have amassed.

The History of Too Much and the End of Economic Primacy

Surplus

The Law of Financial Crime

This book examines current challenges in the field of criminal protection against market abuse at the international and local levels. Divided into two parts, the first opens with an examination of general issues, including the philosophical foundations of market abuse prohibitions and the challenges arising from technological developments in this area. Closing the first part of the book, the authors outline new perspectives on the protection of market integrity in the context of sustainable finance and the crime of market manipulation. Part II examines market protection against abuse in 14 countries. As well as providing a comparative perspective, this section draws out broader implications, such as: the search for an alternative law enforcement strategy; the importance of compliance programs in preventing market manipulation; the right to remain silent in proceedings before the supervisory authority; problems arising from the interplay of criminal sanctions and administrative sanctions of a criminal nature; and the importance of how information is obtained for the application of the insider trading prohibition in some jurisdictions. Written by academics and practitioners, the book will be a valuable resource for academics, researchers and policy-makers working in the areas of financial and economic crime and comparative law.

International and Local Perspectives

Legal Protection against Financial Market Abuse

A Plain English Guide to Thinking Globally and Investing Wisely: The life-changing personal finance and investment bestseller

How to Own the World

Asset Analytics

Sharpening beyond Data

Business Analytics and Managerial Decision Making

Classroom Companion: Business

This textbook offers an introduction to supply chain digital twins and AI&nbsp;in a concise but comprehensive form covering management, modeling and technology perspectives. It is designed as a supplementary satellite book for textbook “Global Supply Chain and Operations Management” advancing the topics of the digital supply chain. The book aims at delineating major design principles and technologies and explaining methodologies for supply chain analytics in digital twins. Throughout the book, numerous practical examples and short case-studies are&nbsp;provided to illustrate theoretical concepts. It also reviews and explains novel frameworks and concepts related to digital ecosystems and agentic AI.
The book provides a structured presentation and explanation of major concepts, methods, and digital technologies for building or improving supply chain digital twins in a simple and predictable format, making it accessible to students and professionals with backgrounds in management or engineering. Application scenarios are considered, such as using digital twins for stress testing of supply chain resilience as well as building digital twins in automotive industry.
Graduate and PhD students, as well as supply chain professionals, will benefit from the book’s structured and didactically oriented presentation of the concepts, principles, and methods behind digital twins. By equipping readers with practical knowledge of contemporary theories and technologies, the book supports both academic learning and the development of digital supply chains in practice.

This textbook offers an introduction to supply chain digital twins and AI&nbsp;in a concise but comprehensive form covering management, modeling and technology perspectives. It is designed as a supplementary satellite book for textbook “Global Supply Chain and Operations Management” advancing the topics of the digital supply chain. The book aims at delineating major design principles and technologies and explaining methodologies for supply chain analytics in digital twins. Throughout the book, numerous practical examples and short case-studies are&nbsp;provided to illustrate theoretical concepts. It also reviews and explains novel frameworks and concepts related to digital ecosystems and agentic AI.The book provides a structured presentation and explanation of major concepts, methods, and digital technologies for building or improving supply chain digital twins in a simple and predictable format, making it accessible to students and professionals with backgrounds in management or engineering. Application scenarios are considered, such as using digital twins for stress testing of supply chain resilience as well as building digital twins in automotive industry.Graduate and PhD students, as well as supply chain professionals, will benefit from the book’s structured and didactically oriented presentation of the concepts, principles, and methods behind digital twins. By equipping readers with practical knowledge of contemporary theories and technologies, the book supports both academic learning and the development of digital supply chains in practice.

Introduction to Supply Chain Digital Twins and AI

Towards AI-based Strategy Planning

Strategic Analytics

"A COMPELLING HISTORY OF A POWERFUL IDEA" - Jacob Goldstein, author of Money From veteran Financial Times journalist Robin Wigglesworth, an epic history of the debt that built the modern world. Long considered the "boring" corner of finance, bonds are anything but. They are bigger than the stock market and rival even the global banking system in influence. But they are also misunderstood - treated as mere debt, when in fact their impact is radically different. From medieval Venice to modern Wall Street, Robin Wigglesworth uncovers the sweeping, unveiling story of the bond market. With clarity and wit, this is a people's history of finance: rich in drama, full of colourful characters, and bursting with insights. Bonds have funded everything from the Crusades to climate tech, Netflix series to AI data centres. Pooling capital from citizens and merchants at an unmatched scale, they have been the hidden force behind some of humanity's highest achievements and greatest calamities. This isn't just a book about the past. It's a guide to the future of finance, and a love letter to the engine that keeps it running.

The Epic Story of How Bonds Built the Modern World

A Fabulous Debt

Chapman & Hall/CRC Texts in Statistical Science

From Alan Turing breaking the Enigma code to ChatGPT reshaping how we work and create, artificial intelligence has always been powered by a single unifying principle: learning from data under uncertainty. This book reveals the mathematical machinery behind modern AI, weaving together Bayesian probability, statistical learning, and deep neural networks into a coherent intellectual framework. Whether you seek to understand why large language models hallucinate, how recommendation systems predict your preferences, or what makes reinforcement learning agents master complex games, this book equips you with both the theoretical foundations and practical intuitions that define the modern AI playbook.Key Features:<ul> <li>Builds Bayesian reasoning from first principles through historical examples like submarine search and WWII code-breaking</li> <li>Bridges classical statistics and deep learning, connecting linear regression to transformers</li> <li>Covers the complete AI stack: probability, decision theory, Gaussian processes, neural networks, CNNs, NLP, and LLMs</li> <li>Emphasizes uncertainty quantification-building systems that know what they don't know</li> <li>Practical applications across finance, healthcare, operations, and autonomous systems</li> <li>Emerging topics: AI agents, RLHF, and retrieval-augmented generation</li> </ul>Written for graduate students, data scientists, and quantitatively-minded practitioners, this book assumes comfort with calculus and basic probability while building sophisticated intuitions progressively. Business analysts will appreciate the decision-theoretic framing; engineers will value the architectural insights; researchers will find rigorous foundations for further study. Whether used as a course textbook, professional reference, or intellectual companion for understanding the AI revolution transforming every industry, this book delivers the rare combination of mathematical depth and accessible exposition that makes complex ideas genuinely understandable.

Foundations of Data Science

Bayes, AI, and Deep Learning

Stock Strategies Success Through Machine Learning

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