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Straightforward and accessible, Commodity Investing balances academic-quality analysis with clear, compelling prose, and provides those interested in this fast-growing field with unparalleled investment insights. Page by page, you’ll acquire a deeper understanding of this discipline and discover how to make more informed decisions when investing in such a dynamic environment. With this book as your guide, you’ll benefit from the lessons of experienced practitioners and quickly come to grips with what it takes to make it in today’s commodity market.
1. The Weightless World -- 2. Where Have All The Jobs Gone? -- 3. Weightless Work -- 4. Nourishing the Grass Roots -- 5. Fear of Flexibility -- 6. The End of Welfare -- 7. The Ageing of Nations -- 8. Globalism and Globaloney -- 9. Visible and Invisible Cities -- 10. Weightless Government.
We propose a coherent unified approach to the study of the linkages among economic growth, financial structure, and inequality, bringing together disparate theoretical and empirical literature. That is, we show how to conduct model-based quantitative research on transitional paths. With analytical and numerical methods, we calibrate and make tractable a prototype canonical model and take it to an application, namely, Thailand 1976-1996, an emerging economy in a phase of economic expansion with uneven financial deepening and increasing inequality. We broadly replicate the actual data, test the model formally, and identify anomalies.
Cybersecurity is a paramount concern in both Internet of Things (IoT) and Cyber-Physical Systems (CPSs) due to the interconnected and often critical nature of these systems. The integration of AI/ML into the realm of IoT and CPS security has gained significant attention and momentum in recent years. The success of AI/ML in various domains has sparked interest in leveraging these technologies to enhance the security, resilience, and adaptability of IoT and CPS. Secure and Smart Cyber-Physical Systems provides an extensive exploration of AI/ML-based security applications in the context of IoT and CPS. Features Presents cutting-edge topics and research in IoT and CPS Includes contributions from...
To harness the full power of computer technology, economists need to use a broad range of mathematical techniques. In this book, Kenneth Judd presents techniques from the numerical analysis and applied mathematics literatures and shows how to use them in economic analyses. The book is divided into five parts. Part I provides a general introduction. Part II presents basics from numerical analysis on R^n, including linear equations, iterative methods, optimization, nonlinear equations, approximation methods, numerical integration and differentiation, and Monte Carlo methods. Part III covers methods for dynamic problems, including finite difference methods, projection methods, and numerical dynamic programming. Part IV covers perturbation and asymptotic solution methods. Finally, Part V covers applications to dynamic equilibrium analysis, including solution methods for perfect foresight models and rational expectation models. A website contains supplementary material including programs and answers to exercises.
How to use nonlinear dynamic models in policy analysis. Policymakers need quantitative as well as qualitative answers to pressing policy questions. Because of advances in computational methods, quantitative estimates are now derived from coherent nonlinear dynamic macroeconomic models embodying measures of risk and calibrated to capture specific characteristics of real-world situations. This text shows how such models can be made accessible and operational for confronting policy issues. The book starts with a simple setting based on market-clearing price flexibility. It gradually incorporates departures from the simple competitive framework in the form of price and wage stickiness, taxes, rigidities in investment, financial frictions, and habit persistence in consumption. Most chapters end with computational exercises; the Matlab code for the base model can be found in the appendix. As the models evolve, readers are encouraged to modify the codes from the first simple model to more complex extensions. Computational Macroeconomics for the Open Economy can be used by graduate students in economics and finance as well as policy-oriented researchers.
Introduction : no going back -- Short-run gains for workers -- Medium-term gains for workers -- How will firms adapt? -- The rise of remote work and superstar cities -- New opportunities for other areas -- Conclusion : the new geography of jobs.
Packed with provocative information about the social and political habits of twentieth-century Americans.
Year round on Martha’s Vineyard Island off Cape Cod, Massachusetts, residents and vacationers have played basketball—almost since the game was invented. The Oak Bluffs summer league on the Island was innovative, ethnically diverse, welcomed female players, and fostered thousands of friendships. President Obama, NBA All-Star Kyrie Irving, and Family Matters sitcom star Jaleel White have all played basketball on Martha’s Vineyard, as did future college stars, authors, war heroes, and entrepreneurs. Their stories touch current events from World War I through the Civil Rights Movement—and even include the filming of the blockbuster Jaws. Martha’s Vineyard Basketball: How a Resort Leagu...