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Behavioural economics and behavioural finance are rapidly expanding fields that are continually growing in prominence. While orthodox economic models are built upon restrictive and simplifying assumptions about rational choice and efficient markets, behavioural economics offers a robust alternative using insights and evidence that rest more easily with our understanding of how real people think, choose and decide. This insightful textbook introduces the key concepts from this rich, interdisciplinary approach to real-world decision-making. This new edition of Behavioural Economics and Finance is a thorough extension of the first edition, including updates to the key chapters on prospect theory; heuristics and bias; time and planning; sociality and identity; bad habits; personality, moods and emotions; behavioural macroeconomics; and well-being and happiness. It also includes a number of new chapters dedicated to the themes of incentives and motivations, behavioural public policy and emotional trading. Using pedagogical features such as chapter summaries and revision questions to enhance reader engagement, this text successfully blends economic theories with cutting-edge multidisciplinary insights. This second edition will be indispensable to anyone interested in how behavioural economics and finance can inform our understanding of consumers' and businesses' decisions and choices. It will appeal especially to undergraduate and graduate students but also to academic researchers, public policy-makers and anyone interested in deepening their understanding of how economics, psychology and sociology interact in driving our everyday decision-making.

Introducing behavioural economics -- Microeconomic principles -- Motivations and incentives -- Heuristics and bias -- Prospects and regrets -- Learning -- Time and plans -- Bad habits -- Sociality and identity -- Personality, moods and emotions -- Behavioural public policy -- Neuroeconomics I: Principles -- Neuroeconomics II: Evidence -- Behavioural finance -- Behavioural anomalies in finance -- Corporate investment and finance -- Emotional trading -- Macroeconomics and financial systems -- Behavioural macroeconomics and finance -- Financial instability and macroeconomic performance -- Happiness and wellbeing -- Bibliography -- Index.

This book deals with the application of wavelet and spectral methods for the analysis of nonlinear and dynamic processes in economics and finance. It reflects some of the latest developments in the area of wavelet methods applied to economics and finance. The topics include business cycle analysis, asset prices, financial econometrics, and forecasting. An introductory paper by James Ramsey, providing a personal retrospective of a decade's research on wavelet analysis, offers an excellent overview over the field

Research on the relationship between innovation openness, R&D investment and innovation performance of manufacturing enterprises. -- Board Characteristics & ESG: Evidence from New Zealand -- The Effect of Online and Offline Social Information on Smartphone Phone Purchase Decision: The Case Study of Generation Z in Phnom Penh -- The Impacts of Anthropomorphic Plastic Bottle Designs on Consumers' Recycling Intention: The Mediating Effects of Anticipatory Guilt, Empathy, and Identity-Connection -- Does friend-shoring of FDI mitigate firm bankruptcy risk? Evidence from Asia-Pacific.

The aim of this book is to bring students of economics and finance who have only an introductory background in mathematics up to a quite advanced level in the subject, thus preparing them for the core mathematical demands of econometrics, economic theory, quantitative finance and mathematical economics, which they are likely to encounter in their final-year courses and beyond. The level of the book will also be useful for those embarking on the first year of their graduate studies in Business, Economics or Finance.

Currently the methods of Soft Computing are successfully used for risk analysis in: budgeting, e-commerce development, portfolio selection, Black-Scholes option pricing models, corporate acquisition systems, evaluating investments in advanced manufacturing technology, interactive fuzzy interval reasoning for smart web shopping, fuzzy scheduling and logistic. An essential feature of economic and financial problems it that there are always at least two criteria to be taken into account: profit maximization and risk minimization. Therefore, the economic and financial problems are multiple criteria ones. In this book, a new systematization of the problems of multiple criteria decision making is proposed which allows the author to reveal unsolved problems. The solutions of them are presented as well and implemented to deal with some important real-world problems such as investment project's evaluation, tool steel material selection problem, stock screening and fuzzy logistic. It is well known that the best results in real -world applications can be obtained using the synthesis of modern methods of soft computing. Therefore, the developed by the author new approach to building effective stock trading systems, based on the synthesis of fuzzy logic and the Dempster-Shafer theory, seems to be a considerable contribution to the application of soft computing method in economics and finance. An important problem of capital budgeting is the fuzzy evaluation of the Internal Rate of Return. In this book, this problem is solved using a new method which makes it possible to solve linear and nonlinear interval and fuzzy equations and systems of them. The developed new method allows the author to obtain an effective solution of the Leontjev's input-output problem in the interval setting.

Computational intelligence (CI), as an alternative to statistical and econometric approaches, has been applied to a wide range of economics and finance problems in recent years, for example to price forecasting and market efficiency. This book contains research ranging from applications in financial markets and business administration to various economics problems. Not only are empirical studies utilizing various CI algorithms presented, but so also are theoretical models based on computational methods. In addition to direct applications of computational intelligence, readers can also observe