Economic Dynamics, second edition
Economic Dynamics, second edition

Author: John Stachurski

Publisher: MIT Press

Published: 2022-08-16

Total Pages: 395

ISBN-13: 0262544776

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The second edition of a rigorous and example-driven introduction to topics in economic dynamics that emphasizes techniques for modeling dynamic systems. This text provides an introduction to the modern theory of economic dynamics, with emphasis on mathematical and computational techniques for modeling dynamic systems. Written to be both rigorous and engaging, the book shows how sound understanding of the underlying theory leads to effective algorithms for solving real-world problems. The material makes extensive use of programming examples to illustrate ideas, bringing to life the abstract concepts in the text. Key topics include algorithms and scientific computing, simulation, Markov models, and dynamic programming. Part I introduces fundamentals and part II covers more advanced material. This second edition has been thoroughly updated, drawing on recent research in the field. New for the second edition: “Programming-language agnostic” presentation using pseudocode. New chapter 1 covering conceptual issues concerning Markov chains such as ergodicity and stability. New focus in chapter 2 on algorithms and techniques for program design and high-performance computing. New focus on household problems rather than optimal growth in material on dynamic programming. Solutions to many exercises, code, and other resources available on a supplementary website.

Principles of Commodity Economics and Finance
Principles of Commodity Economics and Finance

Author: Daniel P. Ahn

Publisher: MIT Press

Published: 2019-04-09

Total Pages: 229

ISBN-13: 0262347881

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A rigorous but practical introduction to the economic, financial, and political principles underlying commodity markets. Commodities have become one of the fastest growing asset classes of the last decade and the object of increasing attention from investors, scholars, and policy makers. Yet existing treatments of the topic are either too theoretical, ignoring practical realities, or largely narrative and nonrigorous. This book bridges the gap, striking a balance between theory and practice. It offers a solid foundation in the economic, financial, and political principles underlying commodities markets. The book, which grows out of courses taught by the author at Columbia and Johns Hopkins, can be used by graduate students in economics, finance, and public policy, or as a conceptual reference for practitioners. After an introduction to basic concepts and a review of the various types of commodities—energy, metals, agricultural products—the book delves into the economic and financial dynamics of commodity markets, with a particular focus on energy. The text covers fundamental demand and supply for resources, the mechanics behind commodity financial markets, and how they motivate investment decisions around both physical and financial portfolio exposure to commodities, and the evolving political and regulatory landscape for commodity markets. Additional special topics include geopolitics, financial regulation, and electricity markets. The book is divided into thematic modules that progress in complexity. Text boxes offer additional, related material, and numerous charts and graphs provide further insight into important concepts.

System Dynamics in Economic and Financial Models
System Dynamics in Economic and Financial Models

Author:

Publisher:

Published: 1997-12-05

Total Pages: 408

ISBN-13:

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The 12 articles presented in this book have different approaches for the modelling of economic and financial processes. The topics cover a range of subjects (complex dynamics, nonlinear time series models, cointegration) and applications in the field of finance and macro economics. The articles are grouped according to the methods being applied. In the first group the authors are concerned with nonlinear dynamics; the papers in the second group are more empirically oriented; the last group contains papers on time series modelling in macro economics, with special attention for the aspect of nonstationarity. The book is intended to be one of discussion and debate on themes of common interest in economics, finance and dynamical systems. It examines the different approaches for the modelling of economic and financial processes so as to stimulate the communication of ideas and to overcome the barriers of specialization.

Economic Dynamics in Discrete Time
Economic Dynamics in Discrete Time

Author: Jianjun Miao

Publisher: MIT Press

Published: 2014-09-19

Total Pages: 737

ISBN-13: 0262325608

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A unified, comprehensive, and up-to-date introduction to the analytical and numerical tools for solving dynamic economic problems. This book offers a unified, comprehensive, and up-to-date treatment of analytical and numerical tools for solving dynamic economic problems. The focus is on introducing recursive methods—an important part of every economist's set of tools—and readers will learn to apply recursive methods to a variety of dynamic economic problems. The book is notable for its combination of theoretical foundations and numerical methods. Each topic is first described in theoretical terms, with explicit definitions and rigorous proofs; numerical methods and computer codes to implement these methods follow. Drawing on the latest research, the book covers such cutting-edge topics as asset price bubbles, recursive utility, robust control, policy analysis in dynamic New Keynesian models with the zero lower bound on interest rates, and Bayesian estimation of dynamic stochastic general equilibrium (DSGE) models. The book first introduces the theory of dynamical systems and numerical methods for solving dynamical systems, and then discusses the theory and applications of dynamic optimization. The book goes on to treat equilibrium analysis, covering a variety of core macroeconomic models, and such additional topics as recursive utility (increasingly used in finance and macroeconomics), dynamic games, and recursive contracts. The book introduces Dynare, a widely used software platform for handling a range of economic models; readers will learn to use Dynare for numerically solving DSGE models and performing Bayesian estimation of DSGE models. Mathematical appendixes present all the necessary mathematical concepts and results. Matlab codes used to solve examples are indexed and downloadable from the book's website. A solutions manual for students is available for sale from the MIT Press; a downloadable instructor's manual is available to qualified instructors.

Natural Computing in Computational Finance
Natural Computing in Computational Finance

Author: Anthony Brabazon

Publisher: Springer Science & Business Media

Published: 2010-06-09

Total Pages: 220

ISBN-13: 3642139493

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The chapters in this book illustrate the application of a range of cutting-edge natural computing and agent-based methodologies in computational finance and economics. The eleven chapters were selected following a rigorous, peer-reviewed, selection process.

High-Performance Computing in Finance
High-Performance Computing in Finance

Author: M. A. H. Dempster

Publisher: CRC Press

Published: 2018-02-21

Total Pages: 637

ISBN-13: 1482299674

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High-Performance Computing (HPC) delivers higher computational performance to solve problems in science, engineering and finance. There are various HPC resources available for different needs, ranging from cloud computing– that can be used without much expertise and expense – to more tailored hardware, such as Field-Programmable Gate Arrays (FPGAs) or D-Wave’s quantum computer systems. High-Performance Computing in Finance is the first book that provides a state-of-the-art introduction to HPC for finance, capturing both academically and practically relevant problems.

Empirical Dynamic Asset Pricing
Empirical Dynamic Asset Pricing

Author: Kenneth J. Singleton

Publisher: Princeton University Press

Published: 2009-12-13

Total Pages: 497

ISBN-13: 1400829232

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Written by one of the leading experts in the field, this book focuses on the interplay between model specification, data collection, and econometric testing of dynamic asset pricing models. The first several chapters provide an in-depth treatment of the econometric methods used in analyzing financial time-series models. The remainder explores the goodness-of-fit of preference-based and no-arbitrage models of equity returns and the term structure of interest rates; equity and fixed-income derivatives prices; and the prices of defaultable securities. Singleton addresses the restrictions on the joint distributions of asset returns and other economic variables implied by dynamic asset pricing models, as well as the interplay between model formulation and the choice of econometric estimation strategy. For each pricing problem, he provides a comprehensive overview of the empirical evidence on goodness-of-fit, with tables and graphs that facilitate critical assessment of the current state of the relevant literatures. As an added feature, Singleton includes throughout the book interesting tidbits of new research. These range from empirical results (not reported elsewhere, or updated from Singleton's previous papers) to new observations about model specification and new econometric methods for testing models. Clear and comprehensive, the book will appeal to researchers at financial institutions as well as advanced students of economics and finance, mathematics, and science.