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Sidoti G: Investing Against Instinct

Investing Against Instinct

The Science and Psychology of Building Lasting Wealth

Theory, Methods, and Computation

Elements of Stochastic Finance

A Focused Approach

Corporate Finance

Corporate Financial Accounting

Independent, inflation-targeting central banks were supposed to deliver stable prices, financial stability and lasting prosperity. Instead, they have presided over financial crises, stagnant growth, rising inequality and the return of inflation. Yet policy makers and politicians have proved remarkably reluctant to challenge the orthodoxy. Why has this model proved so resilient-and what should replace it? In The Gods That Failed, economist Josh Ryan-Collins argues that today's macroeconomic policy framework rests on five powerful myths that have shaped economic thinking since the 1980s. From the "natural" rate of interest and the management of inflation expectations to efficient financial markets and the taboos surrounding fiscal dominance and credit policy, these ideas continue to constrain policymakers even as the evidence against them becomes overwhelming. Blending colourful economic history, cutting-edge research and vivid real-world examples, Ryan-Collins opens-up the often opaque and technocratic world of monetary and financial policy for a wide readership and illustrates its fundamental flaws. At a time of repeated economic and financial shocks, ecological breakdown and geopolitical instability, The Gods That Failed argues that rebuilding our economies will require a wholesale rethinking of how central banks, governments and financial institutions work together to manage money, credit and the macroeconomy.

Rethinking Central Banking and Macrofinancial Policy for the Age of Polycrisis

The Gods that Failed

Banking, Money and International Finance

Human-Centred Intelligent Finance

AI, Fintech, and the Future of Global Financial Systems

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?

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?

Financial Statement Analysis and Security Valuation ISE

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 Framework for Proprietary Trading, Portfolio Management, and Financial Stability

Quantitative Market and Liquidity Risk Analytics

Scam World

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

Wiley Finance

Mobilizing capital to achieve investment returns while making the world a better place sounds like a good idea - but is this possible? And if so, why aren't more companies and investors already doing it? Unlike existing works that focus narrowly on single stakeholder groups, Sustainable Investing For Profit and Impact by Dr. Matthew Dearth and James Cheo offers a well-rounded examination of the entire ecosystem from companies and investors to governments. Designed like a "liberal arts course in finance," the book emphasizes the critical thinking required to make sense of challenges to capital allocation, making it accessible to both newcomers and experienced professionals. Interspersed throughout the text are findings from academic research as well as interviews with leading practitioners from major financial institutions, exchanges, and international organizations. The book includes sections on environmental, social, and governance challenges; corporate measurement and disclosure practices; government regulation and carbon pricing mechanisms; popular sustainable investing strategies including impact investing; and practical portfolio construction guidance for individual and professional investors. Examples are drawn from markets around the world, including a uniquely Asian point of view absent from other books on the topic. Combining academic foundations with real-world applications, Sustainable Investing For Profit and Impact provides readers with the holistic perspective necessary to navigate the rapidly evolving sustainable finance landscape. It serves as an essential resource for students, professionals, and policymakers seeking to understand how sustainability considerations are reshaping modern corporate behavior, investment practice, and regulation.

Sustainable Finance for Returns and Impact

Investing Against Instinct

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