Imad Moosa challenges convention with this comprehensive and compelling critique of econometrics, condemning the common practices of misapplied statistical methods in both economics and finance.

The past twenty years have seen an extraordinary growth in the use of quantitative methods in financial markets. Finance professionals now routinely use sophisticated statistical techniques in portfolio management, proprietary trading, risk management, financial consulting, and securities regulation. This graduate-level textbook is intended for PhD students, advanced MBA students, and industry professionals interested in the econometrics of financial modeling. The book covers the entire spectrum of empirical finance, including: the predictability of asset returns, tests of the Random Walk Hypothesis, the microstructure of securities markets, event analysis, the Capital Asset Pricing Model and the Arbitrage Pricing Theory, the term structure of interest rates, dynamic models of economic equilibrium, and nonlinear financial models such as ARCH, neural networks, statistical fractals, and chaos theory. Each chapter develops statistical techniques within the context of a particular financial application. This exciting new text contains a unique and accessible combination of theory and practice, bringing state-of-the-art statistical techniques to the forefront of financial applications. Each chapter also includes a discussion of recent empirical evidence, for example, the rejection of the Random Walk Hypothesis, as well as problems designed to help readers incorporate what they have read into their own applications.

The book describes and illustrates many advances that have taken place in a number of areas in theoretical and applied econometrics over the past four decades.

The fourth Factor X publication from the German Environment Agency (Umweltbundesamt, UBA), Sustainable Development and Resource Productivity: The Nexus Approaches explores the interdependencies of sustainable development paths and associated resource requirements, describing and analysing the necessities for a more resource efficient world. The use of and competition for increasingly scarce resources are growing worldwide with current production and consumption patterns of industrialised economies soon to reach the point where the ecosphere will be overtaxed far beyond its limits. Against this background, this volume examines the important initiatives to monitor resource use at the international, EU and national level. The current trends and challenges related to sustainable resource use are discussed, including international challenges for a resource efficient world, megatrends, justice and equitable access to resources. In the second part of the book, contributions examine implementation strategies. They assess the concept known as circular economy and discuss the theory of growth and the role of the financial and education systems. The final section places special emphasis on practical examples. Overall, the book presents concrete ways and examples of achieving more sustainability in practice. Discussing solutions for a more sustainable use of natural resources, this book is essential reading for scholars and students of natural resources and sustainable development and decision-makers and experts from the fields of policy development, industry and civil society. The Open Access version of this book, available at https://www.taylorfrancis.com/books/e/9781003000365, has been made available under a Creative Commons Attribution 4.0 International License.

Proposes an alternative methodology for determining causation in WTO law by drawing on causal philosophy and econometric analysis.

This book provides a concise analysis of behavioural biases and their implications for financial decision making. The book is written in the normative tradition, arguing strongly for the superiority of behavioural finance with respect to explaining observed phenomena in financial markets. It offers some unique features, including a discussion of the issue of conspiracy theory and how behavioural biases lead to belief in conspiracy theories. Lingering belief in the principles of neoclassical finance is attributed in part to the doctrine of publish or perish, which dominates contemporary academia. The offshoots of behavioural finance are discussed in detail, including ecological finance, environmental finance, social finance, experimental finance, neurofinance, and emotional finance. A comprehensive discussion of narcissism is presented where it is demonstrated that narcissistic behaviour is prevalent in the finance industry and that it led to the eruption of the global financial crisis.

This timely biography of the economist Wynne Godley (1926-2010) charts his long and often crisis-blown route to a new way of understanding whole economies. It shows how early frustrations as a policy-maker enabled him to glimpse the cliff-edges other macro-modellers missed, and re-arm ‘Keynesian’ theory against the orthodoxy that had tried to absorb it. Godley gained notoriety for his economic commentaries - foreseeing the malaise of the 1970s, the Reagan-Thatcher slump, the unsustainable 1980s and 1990s booms, and the crises in the Eurozone and world economies after 2008. This foresight arose from a series of advances in his understanding of national accounting, price-setting, the role of modern finance, and the use of economic data, especially to grasp the interlinkage of stocks and flows. This biography also gives due attention to Godley's life outside academic economics – including his chaotic childhood, truncated career as a professional oboist, equally brief stints as a sculptor’s model and economist in industry, and a longer spell as as a Treasury adviser with a mystery gift for forecasting. This first full-length biography traces Wynne Godley’s long career from professional musician to public servant, policymaker, tormentor of conventional macroeconomics and creator of a workable alternative – all after escaping a childhood of decaying mansions and draconian schools, and rescuing his private world from the legacy of two Freuds. Drawing on Godley’s published and unpublished work and extensive interviews with those who knew him, the author explores Godley's improbable life and explains the lasting significance of his work.

Tools to improve decision making in an imperfect world This publication provides readers with a thorough understanding of Bayesian analysis that is grounded in the theory of inference and optimal decision making. Contemporary Bayesian Econometrics and Statistics provides readers with state-of-the-art simulation methods and models that are used to solve complex real-world problems. Armed with a strong foundation in both theory and practical problem-solving tools, readers discover how to optimize decision making when faced with problems that involve limited or imperfect data. The book begins by examining the theoretical and mathematical foundations of Bayesian statistics to help readers understand how and why it is used in problem solving. The author then describes how modern simulation methods make Bayesian approaches practical using widely available mathematical applications software. In addition, the author details how models can be applied to specific problems, including: * Linear models and policy choices * Modeling with latent variables and missing data * Time series models and prediction * Comparison and evaluation of models The publication has been developed and fine- tuned through a decade of classroom experience, and readers will find the author's approach very engaging and accessible. There are nearly 200 examples and exercises to help readers see how effective use of Bayesian statistics enables them to make optimal decisions. MATLAB? and R computer programs are integrated throughout the book. An accompanying Web site provides readers with computer code for many examples and datasets. This publication is tailored for research professionals who use econometrics and similar statistical methods in their work. With its emphasis on practical problem solving and extensive use of examples and exercises, this is also an excellent textbook for graduate-level students in a broad range of fields, including economics, statistics, the social sciences, business, and public policy.

R is a language and environment for data analysis and graphics. It may be considered an implementation of S, an award-winning language initially - veloped at Bell Laboratories since the late 1970s. The R project was initiated by Robert Gentleman and Ross Ihaka at the University of Auckland, New Zealand, in the early 1990s, and has been developed by an international team since mid-1997. Historically, econometricians have favored other computing environments, some of which have fallen by the wayside, and also a variety of packages with canned routines. We believe that R has great potential in econometrics, both for research and for teaching. There are at least three reasons for this: (1) R is mostly platform independent and runs on Microsoft Windows, the Mac family of operating systems, and various ?avors of Unix/Linux, and also on some more exotic platforms. (2) R is free software that can be downloaded and installed at no cost from a family of mirror sites around the globe, the Comprehensive R Archive Network (CRAN); hence students can easily install it on their own machines. (3) R is open-source software, so that the full source code is available and can be inspected to understand what it really does, learn from it, and modify and extend it. We also like to think that platform independence and the open-source philosophy make R an ideal environment for reproducible econometric research.

This incisive book presents a critical evaluation of fintech, the use of technology to provide financial services. While fintech has been hailed as a game changer and a disruptor, Imad Moosa illustrates critical similarities between the present popularity of fintech and the dot-com hype of the early 2000s.