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Rogers J: Ray Dalio's Changing World
Order

Ray Dalio's Changing World Order

Book 1 of the Changing World Order series

Now in its seventh edition, Ivan Png's Managerial Economics has been extensively revised with new content, including:<ul> <li>running case study on competition in large language models,</li> <li>section on the experience curve featuring semiconductor manufacturing,</li> <li>chapter on oligopoly featuring Anthropic, DeepSeek, and OpenAI.</li> </ul>As always, the text focuses on the economics that managers need to know. It presents the key concepts of microeconomics intuitively, without sophisticated mathematics, and uses actual management applications from across the world.The seventh edition is enhanced with fresh mini-cases and discussion questions, as well as detailed instructor supplements. It is an ideal text for any course focusing on the practical application of microeconomic principles to management.

Managerial Economics

Routledge Critical Studies in Finance and Stability

Power, Interdependence and Diversity in Finance-led Capitalism

Global Regimes of Financialization

Routledge Revivals

Originally published in 1976, this penetrating analysis of British industry in the second half of the twentieth century discusses the lessons of failure and indicates the way back to success for British management. The author's experience in government and industry as a Cabinet Minister and Deputy President of the Confederation of British Industry reveals insights into high-level policy decisions and fundamental business truths. Hitherto unpublished ministerial directives and behind-the-scenes glimpses of historic meetings set the back-drop of authentic involvement against which policy mistakes are viewed and a recovery plan is projected. Suggestions are made for a more efficient working relationship between government and industry and comparisons made with industrial management and strategy in the EU.

What Has Gone Wrong in Industrial Britain Since the War?

Blueprint for Industrial Survival

Routledge Studies in Central and Eastern European Business and Economics

Three decades after the fall of communism, the Central and Eastern European (CEE) countries have achieved income convergence that would have seemed implausible in 1990. This book argues that the growth model which powered this catch-up, built on integration into foreign-controlled value chains, large capital inflows, technology adoption rather than indigenous creation, and EU transfers, has also created structural dependencies that now constrain further development. Income convergence, in other words, has occurred without comparable convergence in productive capabilities.Eight thematic chapters examine how this tension plays out across specific domains: macroeconomic convergence and divergence, the evolving role of FDI and productivity, export competitiveness, the deceleration of global trade, energy transition, agricultural modernisation under the CAP, demographic change, and fiscal policy under competing pressures from defence spending, ageing populations, and decarbonisation. The analysis introduces several integrating concepts and draws comparisons with Southern European and East Asian development trajectories.The book is intended for scholars and advanced students in economics and European studies, policymakers in national governments and EU institutions, and informed readers seeking to understand what lies beneath CEE's convergence headline and what the region must do differently to sustain its progress.

Sustainable Growth and Economic Resilience

Macroeconomic Challenges in Central and Eastern Europe

ADVANCED MACROECONOMICS: AN INTRODUCTION FOR UNDERGRADUATES (SECOND EDITION)

DK Essential Histories

The Story of Economics

Economics

Freeing ourselves from the top-down control of tech oligarchs Coded power is social control—power over other people’s relationships. This can be seen today in the top-down control over data exerted by tech oligarchs—billionaires like Elon Musk and Mark Zuckerberg. DOGE’s takeover of key government institutions early in the second Trump administration was a particularly blatant example of an attempt to exercise coded power by tapping into critical information systems of government. In this book, Co-Pierre Georg and Katharina Pistor call for empowering data producers—that is, all of us who use AI and search engines, or post on social media—rather than those who control proprietary data infrastructures. Georg, an economist, and Pistor, a legal scholar, explain that coded power emerges when some assert power over the fabric that shapes society. Unchecked, it penetrates deeply into social relationships in order to advance the interests of the coders—the oligarchs—and their clients. Legal coded power goes back centuries. Digital coded power and its effect on our society have become apparent only recently. It is exercised as despotic power imposed by the will of the coders to deny data producers the right to self-determination. Choices about digital technology made in the past, Georg and Pistor argue, were often driven by libertarian ideology rather than technological inevitability. They propose an alternative, decentralized structure, aided by the blockchain and new privacy-enhancing technologies, in which data control is assumed jointly by data creators—and data sharing is determined by creators’ willingness to do so rather than the dictates of digital despots.

How to Fight Digital Despotism and Reclaim Our Data

Coded Power

A New Compass

The Common Good Economy

Independently published

Reactive PublishingApplied Quantitative Macro delivers a rigorous, code-first framework for building production-grade regime-switching models used by modern quantitative trading desks. Designed specifically for institutional practitioners, portfolio managers, and quantitative researchers, this comprehensive guide bridges the gap between theoretical macroeconomics and actionable algorithmic execution.By shifting away from legacy tools and single-factor assumptions, this book demonstrates how to harness modern data architectures and advanced machine learning techniques to detect structural market shifts before they manifest in price action. Readers will learn how to construct high-performance data pipelines, implement dynamic factor systems, and build resilient predictive models tailored for volatile, regime-dependent markets.Inside, you will find practical implementations covering: High-Throughput Financial Data Processing: Utilizing Polars and high-performance vectorization to process macro datasets, yield curves, and cross-asset signals with maximum efficiency.Dynamic Factor &amp; State-Space Models: Extracting latent macroeconomic drivers, isolating signal from noise, and modeling unobserved regime transitions using advanced econometric techniques.Machine Learning for Regime Classification: Deploying supervised and unsupervised learning algorithms to identify hidden market states, volatility regimes, and structural pivots.Institutional Backtesting &amp; Risk Controls: Accounting for transaction costs, non-stationary macro data, look-ahead bias, and regime-dependent risk parameters.Systematic Strategy Architecture: Integrating regime predictions directly into portfolio optimization, dynamic asset allocation, and risk management frameworks.Whether you are upgrading an existing quantitative framework or constructing a standalone macro trading system from scratch, Applied Quantitative Macro provides the complete mathematical foundations and production-ready Python implementations required to trade today's complex financial markets.

Building Predictive Regime Models in Python for Institutional Trading

Applied Quantitative Macro

Critical and Post-Keynesian Perspectives

A History of Modern Macroeconomics

Creating Prosperity through Freedom, Order, and Innovation

How Nations Win

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

Ray Dalio's Changing World Order

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