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Catalogue complet

Asian Development Outlook: 2021
International Comparison Program for As

2021 International Comparison Program for Asia and the Pacific

Purchasing Power Parities and Real Expenditures-A Summary Report

Chapman and Hall/CRC Series on Statistics in Business and Economics

This book offers a modern, data-driven introduction to the field of finance, tailored for undergraduate students and practitioners. In an era defined by abundant data and computational power, it emphasizes hands-on learning by integrating financial theory, empirical analysis, and practical implementation using Python and R.

Theory and Application

Empirical Finance

World Scientific Lecture Notes In Economics And Policy

This book attempts to understand the operation and properties of 'market economies'. We do this by carefully examining, refining and in some cases extending the major theorems that Microeconomics has established in response to the Walrasian conjecture. We critically evaluate theorems and results, that assert the existence, uniqueness, stability, optimality and empirical relevance of Walrasian equilibrium states. As a result of our work, we attempt to comment on the wisdom of recommending that socio-economic systems operate as a collection of deregulated competitive markets.

Lectures In General Equilibrium Microeconomics

Econometric Society Monographs

Preferences are the point of departure for economic analysis. Despite myriad experiments designed to characterize preferences, no consensus has been reached. In The Evolutionary Foundation of Preferences, Arthur J. Robson and Larry Samuelson examine how economic preferences might be shaped by biological evolution. They theorize that each of us is descended from a line of ancestors who were able to survive and reproduce, and they analyze how this may have affected modern preferences. Drawing on demographic models, they explain how different preferences induce different behaviors which lead to different growth rates among respective subpopulations.&nbsp;People whose preferences induce the highest growth rate eventually comprise the overwhelming proportion of the population. Examining neuroscientific evidence that points to a cardinal, or hedonic, interpretation of utility, the authors discuss the implications of these interpretations and the challenges raised for welfare economics.

The Evolutionary Foundations of Preferences

A Framework for Economists with Policy Aspirations

Minimalist Market Design

A rigorous, cutting-edge overview of the range of methods used to conduct causal inference in the social sciences. This textbook provides a lucid, rigorous, and cutting-edge overview of the methods used to conduct causal inference in the social sciences, covering all the core techniques and latest advances. Offering a detailed survey of the current state of microeconometric theory, Damian Clarke delves deeply into machine learning applications and presents developments in difference-in-difference methods, instrumental variables, multiple hypothesis testing, and other advanced topics. With a diverse range of examples and exercises offering hands-on experience, Applied Microeconometrics equips graduate students and researchers to apply state-of-the art scholarship to actionable problems. <ul><li>Integrates a rich array of machine learning methods into causal modeling frameworks</li><li>Covers recent advances in difference-in-differences and dynamic research designs, formal discussions of challenges related to inference and hypothesis testing, and heterogeneity analysis</li><li>Features a breadth of real-world examples from recent papers</li><li>Includes coding implementation in Python, R, and Stata</li></ul>

Applied Microeconometrics

This book is based on a course on penalized high-dimensional estimation that the author taught for second year graduate students in economics at Northwestern University. The book concentrates on ideas, methods, and results that are useful for empirical research in economics and related fields but avoids complicated mathematics and technical discussions. It explains why the results it presents are true, provides informal derivations of them, and presents some proofs. The book treats LASSO estimation of linear models and the properties of estimates obtained with the LASSO and several other penalization methods. It also treats nonlinear and conditional moment models, endogeneity and instrumental variables estimation, quantile models, and non- and semiparametric models. The treatment of inference includes bootstrap asymptotic refinements for linear and nonlinear models. In all cases, it aims at providing understanding without the difficult mathematics that are often part of discussions of these topics. The book avoids methods and results that involve complex mathematics that are not central to the main ideas underlying penalized estimation and that non-statisticians and non-econometricians often find inaccessible. It provides references to journal articles and books that treat mathematically difficult topics.Key Features:¿ Treats ideas, methods, and results that are useful for empirical research in economics and related fields but avoids complicated mathematics that non-statisticians and non-econometricians often find inaccessible.¿ Explains why the results it presents are true, provides informal derivations of them, and presents some proofs. ¿ Treats penalized estimation of linear and nonlinear models, conditional moment models, endogeneity and instrumental variables estimation, quantile models, non- and semiparametric models, and bootstrap methods for inference. ¿ Presents computational methods.¿ Includes exercises and computational problems.

Penalized Estimation of High Dimensional Models

Prescriptions for Quant Traders Using R is a practical, hands-on guide for turning data into trading decisions. This book is written for quantitative traders, financial analysts, and data scientists who want more than theory. It delivers step-by-step "prescriptions" using R-script-driven tasks that solve real-world trading problems.

Videos & Scripts

Prescriptions for Quant Traders Using R

Mastering Business Analytics

Data Analytics for Strategic Decisions explores how businesses can harness the power of data, technology, and analytics to make strategic decisions that drive growth and innovation. It provides a comprehensive guide to integrating business strategy with data-driven methodologies, offering practical tools and insights for modern organizations.Readers will gain a deep understanding of how to transform data into actionable insights, improving decision-making across marketing, finance, operations, and strategy. The book combines theoretical foundations with real-world applications, including case studies, datasets, and practical exercises. It also addresses emerging topics like AI, predictive analytics, and data governance, ensuring readers are equipped with cutting-edge knowledge and skills.This book is designed for undergraduate and master's students in Business Administration, Business Analytics, and Digital Transformation, as well as professionals seeking to enhance their data-driven decision-making capabilities. It is ideal for courses in Business Analytics, Data Analytics for Business, Business Intelligence, and Digital Transformation.The book includes supplementary materials such as datasets for practical exercises, case studies, and discussion questions, making it suitable for both classroom and online learning environments.

Fundamentals of Business Technology and AI Integration

Data Analytics for Strategic Decisions

This book covers calculus, linear algebra, probability and statistics, and computer programming (using Python) at the level required in strong, technically-oriented undergraduate and masters level economics programs. It is the first of a two-volume set, with the second volume focusing on mathematics and programming for networks and dynamic models. Together, the two volumes cover mathematics and programming used in economics, econometrics, data science, machine learning and artificial intelligence. It is intended to be used as a main text for mathematics for economics courses ranging from intermediate to masters levels, and as a resource or reference text for other economics, econometrics and data science courses. It should also be useful as a reference text for economics and data science practitioners who wish to learn more about the mathematics of these subjects.

Mathematics And Programming For The Quantitative Economist: Fundamentals

Derivatives: Mathematical Foundations for Finance Students is written for students of finance and actuarial science who want to understand derivatives not just as formulas but as ideas that make sense. The goal is to build the mathematical foundations up step by step - starting from the familiar territory of first-year undergraduate probability and statistics and moving all the way to stochastic calculus and the principles of risk-neutral pricing, which form the heart of modern financial mathematics.This text will enable the reader to:¿ understand models of asset price behavior and apply stochastic calculus ¿ use stochastic simulations in R to investigate processes and price options ¿ price options with the binomial model ¿ derive solutions to the Black-Scholes equation using risk-neutral pricing ¿ price interest-rate derivatives using Black's model, short-rate models and the Heath-Jarrow-Morton (HJM) framework ¿ tackle quantitative finance exam questions.It incorporates a range of learning features to aid student understanding, including boxed examples, end-of-chapter summaries, selected questions from Society of Actuaries (US) Quantitative Finance examinations and further reading suggestions. The book is also supported by a suite of digital learning resources, including PowerPoint slides, multiple choice questions, instructor manual/advice document for lecturers and a test bank.This book will appeal to both undergraduate and postgraduate students who wish to understand the principles of stochastic calculus and option pricing.

Mathematical Foundations for Finance Students

Derivatives

An award-winning economic journalist on why the US dollar is positioned to maintain global primacy—and what that means for America and the world &nbsp; “Magisterial.”—Edward Chancellor, Reuters &nbsp; Prophecies that the dollar will lose its status as the world’s dominant currency have echoed for decades—and are increasing in volume. Cryptocurrency enthusiasts claim that Bitcoin or other blockchain-based monetary units will replace the dollar. Foreign policy hawks warn that China’s renminbi poses a lethal threat to the greenback. And sound money zealots predict that mounting US debt and inflation will surely erode the dollar’s value to the point of irrelevancy. &nbsp; Contra the doomsayers, Paul Blustein shows that the dollar’s standing atop the world’s currency pyramid is impregnable, barring catastrophic policy missteps by the US government. Recounting how the United States has wielded the dollar to impose devastating sanctions against adversaries, Blustein explains that although targets such as Russia have found ways to limit the damage, Washington’s financial weaponry will retain potency long into the future. His message, however, is that America must not be complacent about the dollar; the great power that its supremacy confers comes with commensurate responsibility.

The Past and Future of the World's Dominant Currency

King Dollar

2021 International Comparison Program for Asia and the Pacific

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