Fad-Free Strategy provides a ground-breaking approach to making better business strategy decisions: more efficient, open to out-of-the-box opportunities and evidence-based. Most strategy books focus on Grand Strategy, the process that leads to high-level recommendations or, more accurately, hypotheses about where and how to compete. While this book briefly covers critical Grand Strategy practices, it deep dives into Operational Strategy, the process of validation, adaptation and possible rejection of those hypotheses. Operational Strategy is based on an in-depth understanding of customer preferences and anticipating the choices they make. Those choices rather than managers' ambitions determine whether a strategy will generate the aspired financial results. The book explains, by means of detailed real-world cases across industries, how to generate validated solutions to any strategic problem such as: how to enter successfully into new markets, either as an innovator or as a latecomer? How to defend one's position against aggressive new entrants? Or how to sustain margins when price is the only thing customers seem to care about? This remarkable book contains expert advice from accomplished strategic advisors and thought leaders Daniel Deneffe and Herman Vantrappen. Fad Free Strategy will be a useful tool for smart business executives at mainstream companies who are disappointed with strategy fads and simplistic solutions based on cherry-picked, anecdotal evidence from today's hero companies. It will also appeal to economics faculty members teaching graduate courses in business strategy who are looking for an economics-based strategy textbook that is both rigorous and comprehensive. The book's core ideas have been taught successfully in continuing and executive education programs at Harvard University and Hult International Business School.

Sustainability Accounting and Integrated Reporting deals with organizations' assessment, articulation and disclosure of their social and environmental impact on various groups in society. There is increasingly an understanding that financial information does not sufficiently discharge organizational accountability to members of society who are demanding an account of the social and environmental impacts of companies' and other organizations' activities. As a result, organizations report ever more social and environmental information, and there are simultaneous movements towards providing the information in an integrated fashion, showing how social and environmental activities influence each other, members of society and the financial aims of the organization. The book Sustainability Accounting and Integrated Reporting provides a broad and comprehensive review of the field, focusing on the interconnection between different elements of these topics, often dealt with in isolation. The book examines the accounting involved in the collection and analysis of data, control processes over the data, how information is reported to external parties, and the assurance of the information being reported. The book thereby provides an overview useful to practitioners (including sustainability managers, consultants, members of the accounting profession, and other assurance providers), academics, and students.

Discover the role of machine learning and artificial intelligence in business forecasting from some of the brightest minds in the field In Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning accomplished authors Michael Gilliland, Len Tashman, and Udo Sglavo deliver relevant and timely insights from some of the most important and influential authors in the field of forecasting. You'll learn about the role played by machine learning and AI in the forecasting process and discover brand-new research, case studies, and thoughtful discussions covering an array of practical topics. The book offers multiple perspectives on issues like monitoring forecast performance, forecasting process, communication and accountability for forecasts, and the use of big data in forecasting. You will find: Discussions on deep learning in forecasting, including current trends and challenges Explorations of neural network-based forecasting strategies A treatment of the future of artificial intelligence in business forecasting Analyses of forecasting methods, including modeling, selection, and monitoring In addition to the Foreword by renowned researchers Spyros Makridakis and Fotios Petropoulos, the book also includes 16 "opinion/editorial" Afterwords by a diverse range of top academics, consultants, vendors, and industry practitioners, each providing their own unique vision of the issues, current state, and future direction of business forecasting. Perfect for financial controllers, chief financial officers, business analysts, forecast analysts, and demand planners, Business Forecasting will also earn a place in the libraries of other executives and managers who seek a one-stop resource to help them critically assess and improve their own organization's forecasting efforts.

The excessive pursuit of economic interests has resulted in severe environmental and social problems, such as climate change, biodiversity loss, and inequality and disparity. There is an urgent need for broader measures of progress to complement Gross Domestic Product (GDP). This book provides a wide range of economic evaluations of environmental and societal issues including climate change, emission problem from garbage landfills, and income inequality. The book explains that sustainability indicators and well-being measures can be effective guide for policy making and how they can strike a balance between economic, environmental, and societal interests. This book summarizes current practices and theories of economic evaluation for sustainability and provides understanding of emerging trends in this area. It also stresses the importance of environmental policies and business actions in achieving sustainable growth and puts forth why countries should take natural capital and other conventional inputs into consideration.

The collection in Volume 43 Part A of Advances in Econometrics serves as a tribute to Professor M. Hashem Pesaran. Hashem is one of the most innovative, influential, and productive econometricians of his generation, with over 200 papers published in leading scientific journals to his credit along with highly influential books on both theoretical and applied topics, significantly pushing forward the frontiers of knowledge in econometrics and economics. Thanks to his profound and pioneering work on theoretical and empirical questions, the economics profession has gained a much better understanding of both the power and limitations of econometric analysis. Consistent with Hashem's contributions, this volume comprises of chapters on a variety of topics covering prediction and macroeconomic modelling. The list of topics includes studies on Bayesian Quantile regression methods, forecasting implications from the economic impact of global warming, assessment of DSGE models, and parameter estimation in the presence of multiple breaks.

The field of behavioural economics can tell us a great deal about cognitive bias and unconscious decision-making, challenging the orthodox economic model whereby consumers make rational and informed choices. But it is in the arena of health that it perhaps offers individuals and governments the most value. In this important new book, the most pernicious health issues we face today are examined through a behavioral economic lens. It provides an essential and timely overview of how this growing field of study can reframe and offer solutions to some of the biggest health issues of our age. The book opens with an overview of the core theoretical concepts, after which each chapter assesses how behavioral economic research and practice can inform public policy across a range of health issues. Including chapters on tobacco, alcohol and drug use, physical activity, dietary intake, cancer screening and sexual health, the book integrates the key insights from the field to both developed and developing nations. Also asking important ethical questions around paternalism and informed choice, this book will be essential reading for students and researchers across psychology, economics and business and management, as well as public health professionals wishing for a concise overview of the role behavioral economics can potentially play in allowing people to live healthier lives.

The collection of chapters in Volume 43 Part B of Advances in Econometrics serves as a tribute to Professor M. Hashem Pesaran. Hashem is one of the most innovative, influential, and productive econometricians of his generation, with over 200 papers published in leading scientific journals to his credit along with highly influential books on both theoretical and applied topics, significantly pushing forward the frontiers of knowledge in econometrics and economics. Thanks to his profound and pioneering work on theoretical and empirical questions, the economics profession has gained a much better understanding of both the power and limitations of econometric analysis. Reflecting the diversity of Hashem's many contributions, this volume includes chapters on a wide variety of topics, including panel modelling, micro applications, and econometric methodology. The long list of topics includes studies analysing multiple treatment effects in panels, heterogeneity and aggregation, an exploration of the Orthogonal to Backwards Means (OBM) estimator, and an examination of potential reasons for anaemic productivity growth in Italy using recent dynamic heterogeneous panel data methods developed by Hashem Pesaran and his co-authors.

Alibaba, Samsung, Toyota - Asia is home to some of the world's biggest, most innovative and most trusted brands. As the global economy undergoes massive disruption in the wake of Covid-19, what are the new brands emerging from the region? Which brands will be the next big thing? Take a deep dive into Asia's most promising brands, ranging from Korea's fast-expanding Go Pizza and Singapore's Kinobi edu-tech platform to Vietnam's automobile wunderkind, VinFast. Through wide-ranging interviews with the brands' founders and management teams, author Jörg Dietzel uncovers what makes each of them tick, and distills invaluable lessons for every business out there looking to take off in the post-Covid world.

This book provides research on the human element in forecasting. It focuses on how we can improve our ability to accurately forecast.

A "quick look up guide," Electricity Cost Modeling Calculations places the relevant formulae and calculations at the reader's finger tips. In this book, theories are explained in a nutshell and then the calculation is presented and solved in an illustrated, step-by-step fashion. A valuable guide for new engineers, economists (or forecasters), regulators, and policy makers who want to further develop their knowledge of best practice calculations techniques or experienced practitioners (and even managers) who desire to acquire more useful tips, this book offers expert advice for using such cost models to determine optimally-sized distribution systems and optimally-structured power supplying entities. In other words, this book provides an Everything-that-you-want-to-know-about-cost-modelling-for-electric-utilities (but were afraid to ask) approach to modelling the cost of supplying electricity. In addition, the author covers the concept of multiproduct and multistage cost functions, which are appropriate in modelling the cost of supplying electricity. The author has done all the heavy number-crunching, and provides the reader with real-world, practical examples of how to properly quantify the costs associated with providing electric service, thus increasing the accuracy of the results and support for the policy initiatives required to ensure the competitiveness of the power suppliers in this new world in which we are living. The principles contained herein could be employed to assist in the determination of the cost-minimizing amount of output (i.e., electricity), which could then be used to determine whether a merger between two entities makes sense (i.e., would increase profitability). Other examples abound: public regulatory commissions also need help in determining whether mergers (or divestitures) are welfare-enhancing or not; ratemaking policies depend on costs and properly determining the costs of supplying electric (or gas, water, and local telephone) service. Policy makers, too, can benefit in terms of optimal market structure; after all, the premise of deregulation of the electric industry was predicated on the idea that generation could be deregulated. Unfortunately, the economies of vertical integration between the generation.

Succinct and understandable, this book is a step-by-step guide to the mathematics and construction of electrical load forecasting models. Written by one of the world's foremost experts on the subject, Electrical Load Forecasting provides a brief discussion of algorithms, their advantages and disadvantages and when they are best utilized. The book begins with a good description of the basic theory and models needed to truly understand how the models are prepared so that they are not just blindly plugging and chugging numbers. This is followed by a clear and rigorous exposition of the statistical techniques and algorithms such as regression, neural networks, fuzzy logic, and expert systems. The book is also supported by an online computer program that allows readers to construct, validate, and run short and long term models.

The growth of manufacturing industries can be a key factor in helping to mitigate global recession. Productivity Growth in the Manufacturing Sector highlights key issues and possible remedies facing the manufacturing sector in range of international contexts. Focusing on specific manufacturing sectors in emerging and developing economies, chapters examine themes including developing economies amidst changing world trade dynamics, and the role of smart, circular and competitive manufacturing practices in enhancing economic resilience, as well as presenting sector specific analysis, including the metal manufacturing industry, food & beverage industry, and the small-scale manufacturing sector. Showcasing different demonstrative methods that can be adopted to grow manufacturing sectors in different contexts, Productivity Growth in the Manufacturing Sector is an important tool for economists and policy makers to understand the complexity and realities of these economies, using recent data and methodology.

Law and economics research has had an enormous impact on the laws of contracts, torts, property, crimes, corporations, and antitrust, as well as public regulation and fundamental rights. The Law and Economics of Patent Damages, Antitrust, and Legal Process examines several areas of important research by a variety of international scholars. It contains technical papers on the appropriate way to estimate damages in patent disputes, as well as methods for evaluating relevant markets and vertically integrated firms when determining the competitive effects of mergers and other actions. There are also papers on the implication of different legal processes, regulations, and liability rules on consumer welfare, which range from the impact of delays in legal decisions in labour cases in France to issues of criminal liability related to the use of artificial intelligence. This volume of Research in Law and Economics is a must-read for researchers and professionals of patent damages, antitrust, labour, and legal process.

Bringing together a collection of previously published work, this book provides a discussion of major considerations relating to the construction of econometric models that work well to explain economic phenomena, predict future outcomes and be useful for policy-making. Analytical relations between dynamic econometric structural models and empirical time series MVARMA, VAR, transfer function, and univariate ARIMA models are established with important application for model-checking and model construction. The theory and applications of these procedures to a variety of econometric modeling and forecasting problems as well as Bayesian and non-Bayesian testing, shrinkage estimation and forecasting procedures are also presented and applied. Finally, attention is focused on the effects of disaggregation on forecasting precision and the Marshallian Macroeconomic Model that features demand, supply and entry equations for major sectors of economies is analysed and described. This volume will prove invaluable to professionals, academics and students alike.

The highly prized ability to make financial plans with some certainty about the futurecomes fromthe core fields of economics. In recent years the availability of more data, analytical tools of greater precision, and "ex post" studies of business decisions have increased demand for information about economic forecasting. Volumes 2A and 2B, which follows Nobel laureate Clive Granger's Volume 1 (2006), concentrate on two major subjects. Volume 2Acovers innovations in methodologies, specifically macroforecasting and forecasting financial variables. Volume 2Binvestigates commercial applications, with sections on forecasters' objectives and methodologies. Experts provide surveys of a large range of literaturescattered acrossappliedand theoretical statistics journals as well aseconometrics and empirical economics journals. "The Handbook of Economic Forecasting" Volumes 2A and 2Bprovide a unique compilation of chapters giving a coherent overview of forecasting theory and applications in one place and with up-to-date accounts of all major conceptual issues.
Focuses on innovation in economic forecasting via industry applicationsPresents coherent summaries of subjects in economic forecasting that stretch from methodologies to applicationsMakes details about economic forecasting accessible to scholars in fields outside economics"

The highly prized ability to make financial plans with some certainty about the futurecomes fromthe core fields of economics. In recent years the availability of more data, analytical tools of greater precision, and "ex post" studies of business decisions have increased demand for information about economic forecasting. Volumes 2A and 2B, which follows Nobel laureate Clive Granger's Volume 1 (2006), concentrate on two major subjects. Volume 2Acovers innovations in methodologies, specifically macroforecasting and forecasting financial variables. Volume 2Binvestigates commercial applications, with sections on forecasters' objectives and methodologies. Experts provide surveys of a large range of literaturescattered acrossappliedand theoretical statistics journals as well aseconometrics and empirical economics journals. "The Handbook of Economic Forecasting" Volumes 2A and 2Bprovide a unique compilation of chapters giving a coherent overview of forecasting theory and applications in one place and with up-to-date accounts of all major conceptual issues.
Focuses on innovation in economic forecasting via industry applicationsPresents coherent summaries of subjects in economic forecasting that stretch from methodologies to applicationsMakes details about economic forecasting accessible to scholars in fields outside economics"

A practical guide to understanding economic forecasts In Inside the Crystal Ball: How to Make and Use Forecasts, UBS Chief U.S. Economist Maury Harris helps readers improve their own forecasting abilities by examining the elements and processes that characterize successful and failed forecasts. The book: *Provides insights from Maury Harris, named among Bloomberg's 50 Most Influential People in Global Finance. *Demonstrates "best practices" in the assembly and evaluation of forecasts. Harris walks readers through the real-life steps he and other successful forecasters take in preparing their projections. These valuable procedures can help forecast users evaluate forecasts and forecasters as inputs for making their own specific business and investment decisions. *Emphasizes the critical role of judgment in improving projections derived from purely statistical methodologies. Harris explores the prerequisites for sound forecasting judgment a good sense of history and an understanding of contemporary theoretical frameworks in readable and illuminating detail. *Addresses everyday forecasting issues, including the credibility of government statistics and analyses, fickle consumers, and volatile business spirits. Harris also offers procedural guidelines for special circumstances, such as natural disasters, terrorist threats, gyrating oil and stock prices, and international economic crises. *Evaluates major contemporary forecasting issues including the now commonplace hypothesis of sustained economic sluggishness, possible inflation outcomes in an environment of falling unemployment, and projecting interest rates when central banks implement unprecedented low interest rate and quantitative easing (QE) policies. *Brings to life Harris's own experiences and those of other leading economists in his almost four-decade career as a professional economist and forecaster. Dr. Harris presents his personal recipes for long-term credibility and commercial success to anyone offering advice about the future.

The global financial crisis has reopened discussion surrounding the use of appropriate theoretical financial frameworks to reflect the current economic climate. There is a need for more sophisticated analytical concepts which take into account current quantitative changes and unprecedented turbulence in the financial markets. This book provides a comprehensive guide to the quantitative analysis of high frequency financial data in the light of current events and contemporary issues, using the latest empirical research and theory. It highlights and explains the shortcomings of theoretical frameworks and provides an explanation of high-frequency theory, emphasising ways in which to critically apply this knowledge within a financial context. Modelling and Forecasting High Frequency Financial Data combines traditional and updated theories and applies them to real-world financial market situations. It will be a valuable and accessible resource for anyone wishing to understand quantitative analysis and modelling in current financial markets.

'A brilliant new book' Daily Telegraph 'Well written . . . and often entertaining' The Times 'A sparkling analysis' Prospect When uncertainty is all around us, and the facts are not clear, how can we make good decisions? We do not know what the future will hold, particularly in the midst of a crisis, but we must make decisions anyway. We regularly crave certainties which cannot exist and invent knowledge we cannot have, forgetting that humans are successful because we have adapted to an environment that we understand only imperfectly. Throughout history we have developed a variety of ways of coping with the radical uncertainty that defines our lives. This incisive and eye-opening book draws on biography, history, mathematics, economics and philosophy to highlight the most successful - and most short-sighted - methods of dealing with an unknowable future. Ultimately, the authors argue, the prevalent method of our age falls short, giving us a false understanding of our power to make predictions, leading to many of the problems we experience today. Tightly argued, provocative and written with wit and flair, Radical Uncertainty is at once an exploration of the limits of numbers and a celebration of human instinct and wisdom.

The degree to which markets incorporate information is one of the most important questions facing economists today. This book provides a fascinating study of the existence and extent of information efficiency in financial markets, with a special focus on betting markets. Betting markets are selected for study because they incorporate features highly appropriate to a study of information efficiency, in particular the fact that each bet has a well-defined end point at which its value becomes certain. Using international examples, this book reviews and analyses the issue of information efficiency in both financial and betting markets. Part I is an extensive survey of the existing literature, while Part II presents a range of readings by leading academics. Insights gained from the book will interest students of financial economics, financial market analysts, mathematicians and statisticians, and all those with a special interest in finance or gambling.

China is historically famous for its high demographic dividend and its huge working population, and this has driven tremendous economic growth over the past few decades. However, that population has begun to shrink and the Lewis turning point whereby surplus rural population has been absorbed into manufacturing is also approaching, leading to great change in the Chinese labor market. Will this negatively affect China's economic growth? Can the "Middle-Income Trap" be avoided? What reforms should be made on the labor supply side? This book tackles these key questions. This book is a collection of 14 papers presenting the author's observations, analysis, and opinions of China's long-term economic development from the demographic perspective, while analysing real economic problems from the past and including policy recommendations. It provides a critical reference for scholars and students interested in Chinese economic development and demographic perspectives on economic development.

First published in 1913, Richard Parry's Valuation and Investment Tables has since become an essential tool for students and professionals in the study and practice of valuation and appraisal. That the book reached its centenary year in print and now fourteenth edition is a testament to its acclaim by the valuation and property professionals in an era of calculators and computers, and furthermore a tribute to the historical importance of Parry's original vision and continued legacy. The purpose of the book is to provide a comprehensive range of different valuation and investment tables in one volume. Although many of the tables will be used by practicing surveyors for valuation purposes, they will also be useful to accountants and others concerned with various types of investment and financial calculations. Surveyors valuing freehold or leasehold interests in property have the choice of using either (a) annually in arrear, or (b) quarterly in advance figures of years' purchase. The relevant tables for each concept are printed on different coloured edged pages for ease of reference. In practice today, calculations are required for a variety of purposes which often justify more than one approach. To allow for this, Internal Rates of Return tables have been retained. Using these tables, both growth and non-growth scenarios can be analysed for more detailed appraisal of specific freehold properties and to provide a basis for more in-depth investment advice.

To fully function in today's global real estate industry, students and professionals increasingly need to understand how to implement essential and cutting-edge quantitative techniques. This book presents an easy-to-read guide to applying quantitative analysis in real estate aimed at non-cognate undergraduate and masters students, and meets the requirements of modern professional practice. Through case studies and examples illustrating applications using data sourced from dedicated real estate information providers and major firms in the industry, the book provides an introduction to the foundations underlying statistical data analysis, common data manipulations and understanding descriptive statistics, before gradually building up to more advanced quantitative analysis, modelling and forecasting of real estate markets. Our examples and case studies within the chapters have been specifically compiled for this book and explicitly designed to help the reader acquire a better understanding of the quantitative methods addressed in each chapter. Our objective is to equip readers with the skills needed to confidently carry out their own quantitative analysis and be able to interpret empirical results from academic work and practitioner studies in the field of real estate and in other asset classes. Both undergraduate and masters level students, as well as real estate analysts in the professions, will find this book to be essential reading.

This book offers a wide-ranging overview of the state of labour market forecasting in selected OECD countries. Besides presenting forecasting models, the contributions provide an introduction to past experiences of forecasting, highlight the requirements for building appropriate data sets and present the most up-to-date forecasts available. In most cases the forecasts project mismatches in the labour market as they are likely to occur in the coming years with respect to occupational groups, qualifications and employment in specific sectors. The authors demonstrate how these insights might be used to help reduce employment risks both for the individual worker and the national labour market as a whole. The country examples also show how information on labour market trends is disseminated and used by various actors, such as policymakers, firms and individuals. In a world of rapid structural change, the results of the research presented in this book could help cushion the impact of potential shocks from future mismatches and skill shortages in the job market. Policymakers at the supranational, national and regional level, and academics in the fields of labour market theory and policy can all draw valuable information from this insightful study.