Financial Econometrics: Bayesian Analysis, Quantum Uncertainty, and Related Topics
Financial Econometrics: Bayesian Analysis, Quantum Uncertainty, and Related Topics

Author: Nguyen Ngoc Thach

Publisher: Springer Nature

Published: 2022-05-28

Total Pages: 865

ISBN-13: 3030986896

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This book overviews latest ideas and developments in financial econometrics, with an emphasis on how to best use prior knowledge (e.g., Bayesian way) and how to best use successful data processing techniques from other application areas (e.g., from quantum physics). The book also covers applications to economy-related phenomena ranging from traditionally analyzed phenomena such as manufacturing, food industry, and taxes, to newer-to-analyze phenomena such as cryptocurrencies, influencer marketing, COVID-19 pandemic, financial fraud detection, corruption, and shadow economy. This book will inspire practitioners to learn how to apply state-of-the-art Bayesian, quantum, and related techniques to economic and financial problems and inspire researchers to further improve the existing techniques and come up with new techniques for studying economic and financial phenomena. The book will also be of interest to students interested in latest ideas and results.

Optimal Transport Statistics for Economics and Related Topics
Optimal Transport Statistics for Economics and Related Topics

Author: Nguyen Ngoc Thach

Publisher: Springer Nature

Published: 2023-12-04

Total Pages: 712

ISBN-13: 3031357639

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This volume emphasizes techniques of optimal transport statistics, but it also describes and uses other econometric techniques, ranging from more traditional statistical techniques to more innovative ones such as quantiles (in particular, multidimensional quantiles), maximum entropy approach, and machine learning. Applications range from general analysis of GDP growth, stock market, and consumer prices to analysis of specific sectors of economics (construction, credit and banking, energy, health, labor, textile, tourism, international trade) to specific issues affecting economy such as bankruptcy, effect of Covid-19 pandemic, effect of pollution, effect of gender, cryptocurrencies, and the existence of shadow economy. Papers presented in this volume also cover data processing techniques, with economic and financial application being the unifying theme. This volume shows what has been achieved, but even more important are remaining open problems. We hope that this volume will: ˆ inspire practitioners to learn how to apply state-of-the-art techniques, especially techniques of optimal transport statistics, to economic and financial problems, and ˆ inspire researchers to further improve the existing techniques and to come up with new techniques for studying economic and financial phenomena.

Contemporary Economic Issues in Asian Countries: Proceeding of CEIAC 2022, Volume 2
Contemporary Economic Issues in Asian Countries: Proceeding of CEIAC 2022, Volume 2

Author: An Thinh Nguyen

Publisher: Springer Nature

Published: 2023-05-23

Total Pages: 689

ISBN-13: 9819904900

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This book continues the discussion from Volume 1 on the general considerations regarding global changes and contemporary economic issues in Asian countries in real terms. It offers a collection of original conference papers from the annual international conferences on “Contemporary economic issues in Asian countries” (CEIAC Conference) commenced in 2022 in collaboration with CIFOR-ICRAF, Sungkyunkwan University (Korea), and Tamkang University (Taiwan). The theme of the CEIAC Conference 2022 deals with broad aspects of the contemporary economic issues in Asian countries. It covers topics such as economics and business (economic theory, national and international income distribution, macroeconomic policies, sectors of economy, productivity developments, financial market, business governance, bank financing, etc.), green economy and sustainable development (developing process, development policy, public policy, sustainable growth, green growth, etc.), and international trade and investment (international trade theory, free trade agreements, tariffs, intellectual property, international law, etc.). The book would interest a wide array of professors, researchers, lecturers, students in fields of economics, consultants, and decision makers interested in the issues related to economic issues in Asia.

Prediction and Causality in Econometrics and Related Topics
Prediction and Causality in Econometrics and Related Topics

Author: Nguyen Ngoc Thach

Publisher: Springer Nature

Published: 2021-07-26

Total Pages: 691

ISBN-13: 303077094X

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This book provides the ultimate goal of economic studies to predict how the economy develops—and what will happen if we implement different policies. To be able to do that, we need to have a good understanding of what causes what in economics. Prediction and causality in economics are the main topics of this book's chapters; they use both more traditional and more innovative techniques—including quantum ideas -- to make predictions about the world economy (international trade, exchange rates), about a country's economy (gross domestic product, stock index, inflation rate), and about individual enterprises, banks, and micro-finance institutions: their future performance (including the risk of bankruptcy), their stock prices, and their liquidity. Several papers study how COVID-19 has influenced the world economy. This book helps practitioners and researchers to learn more about prediction and causality in economics -- and to further develop this important research direction.

Contemporary Bayesian Econometrics and Statistics
Contemporary Bayesian Econometrics and Statistics

Author: John Geweke

Publisher: John Wiley & Sons

Published: 2005-10-03

Total Pages: 322

ISBN-13: 0471744727

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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.

Random Sets in Econometrics
Random Sets in Econometrics

Author: Ilya Molchanov

Publisher: Cambridge University Press

Published: 2018-04-12

Total Pages: 199

ISBN-13: 1107121205

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This is the first full-length study of how the theory of random sets can be applied in econometrics.

Statistical Inference as Severe Testing
Statistical Inference as Severe Testing

Author: Deborah G. Mayo

Publisher: Cambridge University Press

Published: 2018-09-20

Total Pages: 503

ISBN-13: 1108563309

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Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.

Discrete Choice Methods with Simulation
Discrete Choice Methods with Simulation

Author: Kenneth Train

Publisher: Cambridge University Press

Published: 2009-07-06

Total Pages: 399

ISBN-13: 0521766559

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This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.