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Kaine T: Forex Swing Trading Secrets

Forex Swing Trading Secrets

Simple but Effective Methods to Read the Market, Execute Smart Trades, and Turn Short-Term Swings into Steady Gains

Springer Texts in Business and Economics

After having considered the core activities of providing loans and accepting deposits in the first volume, the second volume of this textbook analyses banks in its wider economic context, that is in relationship with each other and other competitors and stakeholders. After studying the competition between banks and how this affects bank behaviour, this volume assesses how banks are managed internally; rather than taking the balance sheet of banks as given, it explores how an optimal balance sheet might look like, how employees are remunerated and how they are acting when representing the bank. The important topic of how bank failures can spread, systemic risk, is also considered, alongside an evaluation of the effectiveness of banking regulation. The final part considers the impact that banks have on the wider economy and how their decisions can affect macroeconomic outcomes.

After having considered the core activities of providing loans and accepting deposits in the first volume, the second volume of this textbook analyses banks in its wider economic context, that is in relationship with each other and other competitors and stakeholders. After studying the competition between banks and how this affects bank behaviour, this volume assesses how banks are managed internally; rather than taking the balance sheet of banks as given, it explores how an optimal balance sheet might look like, how employees are remunerated and how they are acting when representing the bank. The important topic of how bank failures can spread, systemic risk, is also considered, alongside an evaluation of the effectiveness of banking regulation. The final part considers the impact that banks have on the wider economy and how their decisions can affect macroeconomic outcomes.

Commercial Banking in Context

Theoretical Foundations of Commercial Banking - Vol.2

How the financialization of healthcare has eroded the quality of care, driven up prices, and worsened health inequalities Financial actors and healthcare leaders increasingly view healthcare organizations as financial assets to be bought, sold, and managed for maximum profit, regardless of the effects on patient care. Uncovering how the federal government enables financial opportunism in healthcare, Healthcare in the Age of Finance Capital offers bold ideas for overhauling a failed system. Rosemary Batt and Eileen Appelbaum provide a unique analysis of the financialization of healthcare, a process in which a growing proportion of the healthcare economy is owned and controlled by the financial sector. Healthcare organizations increasingly depend on financial machinations and the earnings derived from them rather than revenue generated from patient care. The extent to which financial calculations overshadow the healthcare mission depends importantly on institutional legacies, reimbursement rules, and the failure of regulatory oversight. Batt and Appelbaum show how differences in regulations and financing rules shape whether financial actors can penetrate distinct healthcare segments—from hospitals, nursing homes, and ambulatory care to physician specialties, home health, hospice, and autism services. Nonprofit healthcare is not immune from this financial logic. Evidence-based, accessible, and informed by real-world examples, Healthcare in the Age of Finance Capital sheds critical light on how financial deregulation coupled with the relaxation of health, tax, antitrust, and labor laws have allowed financially driven actors to exploit public funds for private gain at the expense of healthcare organizations, patients, communities, labor, and taxpayers.

Public Funds for Private Gain

Healthcare in the Age of Finance Capital

In a world fractured by constant volatility, traditional leadership frameworks are being challenged by forces that evolve faster than institutions can interpret them. This book challenges the comforting illusion of the "Black Swan" -- that major disruptions are rare, unpredictable events best understood only after they occur. Instead, the author introduces the perma-disruption ecosystem: an environment where geopolitical, technological and regulatory forces continuously collide and compound. The true threat to modern institutions is not the rare, unforeseeable shock; it is the "Black Dragon" -- a massive systemic force that is visible long before its full consequences unfold, yet repeatedly ignored because no single signal feels urgent enough to demand action until the power to choose has already begun to disappear.Written for forward-thinking executives, board members and senior leaders, The Black Dragon delivers a rigorous architecture for institutional foresight, proactive governance and strategic transformation. At its core is Black Dragon Logic: the discipline of reading the terrain of perma-disruption. Moving beyond passive delegation and superficial agility, the book outlines a demanding new leadership contract rooted in collective intelligence and anticipatory accountability. It explains how to cut through paralyzing data noise, interpret converging power dynamics and deploy capital with confidence before disruption becomes obvious to everyone else.,

Leadership, foresight and power to win in an age of permanent disruption

The Black Dragon

Build a diversified portfolio with this updated all-in-one investing guide Growing your money doesn't have to feel overwhelming. Whether you're eyeing stocks, bonds, mutual funds, or cryptocurrency, Investing All-in-One For Dummies gives you the know-how to make confident decisions across every major investment type. Written by a team of Wall Street Journal bestselling authors and market specialists, this single guide covers beginner to intermediate techniques so you can invest on your own terms. Get up to speed on AI-powered research tools, digital brokerages, ESG investing, and cryptocurrency regulation alongside time-tested fundamentals like diversification and risk management. You'll learn how to evaluate opportunities, use online platforms, apply triple compounding , and align your investments with your personal financial goals. It's seven books of investing wisdom packed into one friendly resource. Inside this guide: <ul> <li>Learn the basics of stocks, bonds, ETFs, and mutual fund investing to start building your portfolio</li> <li>Discover how cryptocurrency and buffer ETFs investing can fit into a modern, well-diversified portfolio strategy</li> <li>Explore online investing platforms and the power of triple compounding</li> <li>Build confidence by applying fundamental analysis techniques to evaluate stocks, bonds, and other securities you're considering</li> <li>Find practical strategies for managing risk and keeping your investments aligned with your long-term financial goals</li> </ul> Whether you're just getting started or looking to broaden your portfolio across new investment types, this Dummies guide has you covered. Great for self-directed investors who want accessible guidance without expensive advisor fees. Time to get your money working for you!

Investing All-in-One For Dummies

From Theory to Practice

Fundamentals of Climate Finance

DK How Stuff Works

Investing isn't just for the rich. It's for everyone who wants to grow their money - in a smart and sustainable way.From compound interest to index funds, How Investing Works demystifies the complex world of investing with clear, visually-led explanations. Using the series' signature mix of infographics, charts, and easy-to-follow diagrams, this book turns financial theory into practical knowledge.Whether you are saving for your first home, investing for retirement, or simply trying to make your money work harder, this guide shows how to build a strong foundation, avoid common mistakes, and stay on track through life's ups and downs. Discover how markets function, what terms like "diversification" and "risk tolerance" really mean, and why long-term thinking always beats chasing quick wins. With sections on behavioural psychology, ethical investing, cryptocurrency, and global strategies, How Investing Works equips you with the tools to grow your wealth and invest with confidence.

The Concepts Visually Explained

How Investing Works

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

Capitalism is the most powerful, creative and destructive social system the world has ever seen. Vigorously celebrated and fiercely contested, it provides the backdrop for the pipelines and platforms that supply audiences with entertainment, information and connection. This book provides an accessible introduction to the key characteristics of capitalism and illustrates how they shape and distort our media and communications landscapes. Exploring concepts including accumulation, exploitation, ideology, oppression, commodification and colonization, the book discusses the impact of these processes on everything from our experiences online and the dynamics of algorithms to the power of oligarchs and the media's role in the escalating environmental crisis. At a time when technology is often heralded as either the cause or the solution to issues of polarization, disinformation and atomization, an understanding of the simultaneous resilience and fragility of capitalism is essential. Capitalism and the Media is important reading for students of media, communications, cultural studies and politics and provides a valuable resource for scholars and activists.

Key Concepts for Understanding Communications and Technology

Capitalism and the Media

This book presents a comprehensive and integrated framework for managing market and liquidity risk in trading and investment portfolios. By combining theoretical rigor with machine learning-driven modeling and empirical validation, it addresses a critical gap in current financial literature: the joint modeling of interdependent risk dimensions through advanced data science techniques.The book bridges the divide between academic theory and real-world practice, demonstrating how machine learning can be systematically applied to model complex risk behaviors, capture regime shifts, and improve portfolio resilience. Traditional risk frameworks often struggle to handle nonlinear, high-dimensional, and heavy-tailed market dynamics. In contrast, this book integrates ML-based optimization techniques—covering liquidity proxies, price impact models, Liquidity-Adjusted Value-at-Risk (LVaR), and regime-switching volatility structures—to offer a more adaptive and robust risk management paradigm. Each chapter offers a balance of quantitative depth and application-oriented insight, enabling readers to connect rigorous research with day-to-day decision-making in risk and portfolio management.Mazin A. M. Al Janabi
 is a distinguished scholar and practitioner in finance, banking, and financial engineering with more than three decades of experience spanning science, technology, and academia. He holds a PhD in Nuclear Engineering from the University of London (UK) and has held senior management roles at ING-Barings and BBVA, including Director of Global Market Risk Management and Head of Trading Risk. A Full Research Professor, he has served at leading institutions such as EGADE Business School (Mexico), United Arab Emirates University, and Al Akhawayn University (Morocco). His research, published in top-tier journals including the 
 European Journal of Operational Research
 , 
 International Review of Financial Analysis
 , and 
 Annals of Operations Research
 , explores market and liquidity risk in both emerging and developed markets. Prof. Al Janabi is also the developer of the “Al Janabi Model” for Liquidity Risk Management, recognized in academic literature for its innovation. As a research fellow at the Economic Research Forum (ERF) and a frequent keynote speaker, he continues to shape contemporary discourse in proprietary trading, market liquidity, and financial risk analytics.

This book presents a comprehensive and integrated framework for managing market and liquidity risk in trading and investment portfolios. By combining theoretical rigor with machine learning-driven modeling and empirical validation, it addresses a critical gap in current financial literature: the joint modeling of interdependent risk dimensions through advanced data science techniques.The book bridges the divide between academic theory and real-world practice, demonstrating how machine learning can be systematically applied to model complex risk behaviors, capture regime shifts, and improve portfolio resilience. Traditional risk frameworks often struggle to handle nonlinear, high-dimensional, and heavy-tailed market dynamics. In contrast, this book integrates ML-based optimization techniques—covering liquidity proxies, price impact models, Liquidity-Adjusted Value-at-Risk (LVaR), and regime-switching volatility structures—to offer a more adaptive and robust risk management paradigm. Each chapter offers a balance of quantitative depth and application-oriented insight, enabling readers to connect rigorous research with day-to-day decision-making in risk and portfolio management.

A Unified Machine-Learning-Compatible Framework for Proprietary Trading, Portfolio Management, and Financial Stability

Quantitative Market and Liquidity Risk Analytics

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

Forex Swing Trading Secrets

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