YOUR FUTURE STARTS NOW By the time you reach the end of the book, I promise you will understand your Future You better than ever...you will be able to see yourself in the future you want and know the steps needed to get there. Brian David Johnson has spent a quarter century helping governments, schools, corporations, and small businesses shape the future-now, he wants to help you. In The Future You, Johnson distills his work as an applied futurist and gives readers the practical tools to craft the future they've always wanted. Offering a unique combination of practical guidance, interactive workbooks, and compelling real-life stories, The Future You empowers readers to break through the fear of uncertainty. Whether you want to find your new passion, switch your career, or make a personal change, fear holds so many of us captive and prevents us from taking the steps necessary to start now. You no longer have to just dream about a better future, you can turn those plans, those ideas, and those hopes into reality.

In recent years politics has seen an increasing role in economic policymaking for a technocracy of experts. How do politicians feel about this and how do they balance their political and ethical aims with economic expertise? Anna Killick offers an in-depth study of how politicians engage with economists and economic opinion. Based on interviews with politicians from the main parties in France, Germany, Denmark, the UK and USA, the book highlights the role economic opinion plays in politics and the tension that can arise between democracy and technocracy. Deferring to the experts is shown to be neither viable nor desirable, and that we should trust politicians to take the lead role in solving economic problems.

Applied Time Series Modelling and Forecasting provides a relatively non-technical introduction to applied time series econometrics and forecasting involving non-stationary data. The emphasis is very much on the why and how and, as much as possible, the authors confine technical material to boxes or point to the relevant sources for more detailed information.

This book is based on an earlier title Using Cointegration Analysis in Econometric Modelling by Richard Harris. As well as updating material covered in the earlier book, there are two major additions involving panel tests for unit roots and cointegration and forecasting of financial time series. Harris and Sollis have also incorporated as many of the latest techniques in the area as possible including: testing for periodic integration and cointegration; GLS detrending when testing for unit roots; structural breaks and season unit root testing; testing for cointegration with a structural break; asymmetric tests for cointegration; testing for super-exogeniety; seasonal cointegration in multivariate models; and approaches to structural macroeconomic modelling. In addition, the discussion of certain topics, such as testing for unique vectors, has been simplified.

Applied Time Series Modelling and Forecasting has been written for students taking courses in financial economics and forecasting, applied time series, and econometrics at advanced undergraduate and postgraduate levels. It will also be useful for practitioners who wish to understand the application of time series modelling e.g. financial brokers.

Data sets and econometric code for implementing some of the more recent procedures covered in the book can be found on the following web site www.wiley.co.uk/harris

* A useful guide to financial product modeling and to minimizing business risk and uncertainty * Looks at wide range of financial assets and markets and correlates them with enterprises' profitability * Introduces advanced and novel machine learning techniques in finance such as Support Vector Machine, Neural Networks, Random Forest, K-Nearest Neighbors, Extreme Learning Machine, Deep Learning Approaches and applies them to analyze finance data sets * Real world applicable examples to further understanding

Concise, engaging, and highly intuitive—this accessible guide equips you with an understanding of all the basic principles of forecasting

Making accurate predictions about the economy has always been difficult, as F. A. Hayek noted when accepting his Nobel Prize in economics, but today forecasters have to contend with increasing complexity and unpredictable feedback loops. In this accessible and engaging guide, David Hendry, Michael Clements, and Jennifer Castle provide a concise and highly intuitive overview of the process and problems of forecasting. They explain forecasting concepts including how to evaluate forecasts, how to respond to forecast failures, and the challenges of forecasting accurately in a rapidly changing world.

Topics covered include: What is a forecast? How are forecasts judged? And how can forecast failure be avoided? Concepts are illustrated using real-world examples including financial crises, the uncertainty of Brexit, and the Federal Reserve’s record on forecasting. This is an ideal introduction for university students studying forecasting, practitioners new to the field and for general readers interested in how economists forecast.

This book promotes good risk governance and risk management practices to corporate managers, executives, and directors wherever they operate around the world. The major corporate scandals have their roots in governance failure pointing to the link between risk governance and good performance outcomes. This topic is timely and of interest both to the academic community as well as to practicing managers, executives, and directors.
The volume focuses on contemporary risk leadership issues based on recent research insights but avoids excessive technical language and mathematical formulas. The book is framed around the challenges imposed on executives and directors in dealing with an increasingly complex and unpredictable world. This requires a new risk leadership focus that not only avoids the downside risks but also considers ways to exploit the upside potential offered by a dynamic environment. The underlying logic is built on the principles of financial economics where benefits derive from reducing bankruptcy costs and increasing future cash inflows. This provides a stringent framework for analyzing the effect of different risk management actions and behaviors in effective risk-taking organizations. Hence, the book addresses the potential for upside gains as much as the threats of downside losses that represent the conventional risk perspectives. It states the simple fact that you must be willing to take risk to increase strategic responsiveness and corporate manoeuverability. The text builds the arguments in logical steps explicating relevant techniques and practices along the way that invite to immediate applications and practical thinking

This report looks at the prospects for foreign direct investment and international production during and beyond the COVID-19 (coronavirus) pandemic. It not only projects the immediate impact of the crisis on investment flows, but also assesses how it could affect a long-term structural transformation of international production. It reviews the evolution of international production networks over the past three decades and examines the configuration of these networks today. It then projects likely course changes for the next decade due to the combined effects of the pandemic and pre-existing megatrends, including the new industrial revolution, the sustainability imperative and the retreat of laissez faire policies

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.

Uncertain Futures considers how economic actors visualize the future and decide how to act in conditions of radical uncertainty. It starts from the premise that dynamic capitalist economies are characterized by relentless innovation and novelty and hence exhibit an indeterminacy that cannot be reduced to measurable risk. The organizing question then becomes how economic actors form expectations and make decisions despite the uncertainty they face. This edited volume lays the foundations for a new model of economic reasoning by showing how, in conditions of uncertainty, economic actors combine calculation with imaginaries and narratives to form fictional expectations that coordinate action and provide the confidence to act. It draws on groundbreaking research in economic sociology, economics, anthropology, and psychology to present theoretically grounded empirical case studies. These demonstrate how grand narratives, central bank forward guidance, economic forecasts, finance models, business plans, visions of technological futures, and new era stories influence behaviour and become instruments of power in markets and societies. The market impact of shared calculative devices, social narratives, and contingent imaginaries underlines the rationale for a new form of narrative economics.

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.

For junior/senior undergraduates in a variety of fields such as economics, business administration, applied mathematics and statistics, and for graduate students in quantitative masters programs such as MBA and MA/MS in economics. A student-friendly approach to understanding forecasting. Knowledge of forecasting methods is among the most demanded qualifications for professional economists, and business people working in either the private or public sectors of the economy. The general aim of this textbook is to carefully develop sophisticated professionals, who are able to critically analyze time series data and forecasting reports because they have experienced the merits and shortcomings of forecasting practice.

Advances in Business and Management Forecasting is a blind refereed serial publication published on an annual basis. The objective of this research annual is to present state-of-the-art studies in the application of forecasting methodologies to such areas as sales, marketing, and strategic decision making. (An accurate, robust forecast is critical to effective decision making.) It is the hope and direction of the research annual to become an applications and practitioner-oriented publication.
The topics will normally include sales and marketing, forecasting, new product forecasting, judgmentally-based forecasting, the application of surveys to forecasting, forecasting for strategic business decisions, improvements in forecasting accuracy, and sales response models. It is both the hope and direction of the editorial board to stimulate the interest of the practitioners of forecasting to methods and techniques that are relevant.
In Volume 5, there are sections devoted to financial applications of forecasting, as well as demand forecasting. There is, also, a section on general business applications of forecasting, as well as one on forecasting methodologies.
*Presents state-of-the-art studies in the application of forecasting methodologies to such areas as sales, marketing, and strategic decision making.
*Publishes annually

Quantitative marketing is not an easy subject to grasp. Quantitative Analysis in Marketing Management introduces a kinder, gentler approach to the various quantitative concepts and techniques in marketing management. This exciting new book examines techniques drawn from other management disciplines (e.g. financial management and operations management) and shows how these techniques can be applied to marketing management. To aid comprehension, a number of problems and case studies are included at the end of each chapter. The text is divided into three parts:

• statistics, demand analysis and forecasting;
• financial analysis, operations and control systems; and
• future trends

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

With a new author team contributing decades of practical experience, this fully updated and thoroughly classroom-tested second edition textbook prepares students and practitioners to create effective forecasting models and master the techniques of time series analysis. Taking a practical and example-driven approach, this textbook summarises the most critical decisions, techniques and steps involved in creating forecasting models for business and economics. Students are led through the process with an entirely new set of carefully developed theoretical and practical exercises. Chapters examine the key features of economic time series, univariate time series analysis, trends, seasonality, aberrant observations, conditional heteroskedasticity and ARCH models, non-linearity and multivariate time series, making this a complete practical guide. A companion website with downloadable datasets, exercises and lecture slides rounds out the full learning package.

UPDATED FOR 2020 WITH A NEW PREFACE BY NATE SILVER "One of the more momentous books of the decade." -The New York Times Book Review Nate Silver built an innovative system for predicting baseball performance, predicted the 2008 election within a hair's breadth, and became a national sensation as a blogger-all by the time he was thirty. He solidified his standing as the nation's foremost political forecaster with his near perfect prediction of the 2012 election. Silver is the founder and editor in chief of the website FiveThirtyEight. Drawing on his own groundbreaking work, Silver examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy data. Most predictions fail, often at great cost to society, because most of us have a poor understanding of probability and uncertainty. Both experts and laypeople mistake more confident predictions for more accurate ones. But overconfidence is often the reason for failure. If our appreciation of uncertainty improves, our predictions can get better too. This is the "prediction paradox": The more humility we have about our ability to make predictions, the more successful we can be in planning for the future. In keeping with his own aim to seek truth from data, Silver visits the most successful forecasters in a range of areas, from hurricanes to baseball to global pandemics, from the poker table to the stock market, from Capitol Hill to the NBA. He explains and evaluates how these forecasters think and what bonds they share. What lies behind their success? Are they good-or just lucky? What patterns have they unraveled? And are their forecasts really right? He explores unanticipated commonalities and exposes unexpected juxtapositions. And sometimes, it is not so much how good a prediction is in an absolute sense that matters but how good it is relative to the competition. In other cases, prediction is still a very rudimentary-and dangerous-science. Silver observes that the most accurate forecasters tend to have a superior command of probability, and they tend to be both humble and hardworking. They distinguish the predictable from the unpredictable, and they notice a thousand little details that lead them closer to the truth. Because of their appreciation of probability, they can distinguish the signal from the noise. With everything from the health of the global economy to our ability to fight terrorism dependent on the quality of our predictions, Nate Silver's insights are an essential read.

This volume uses state of the art models from the frontier of macroeconomics to answer key questions about how the economy functions and how policy should be conducted. The contributions cover a wide range of issues in macroeconomics and macroeconomic policy. They combine high level mathematics with economic analysis, and highlight the need to update our mathematical toolbox in order to understand the increased complexity of the macroeconomic environment. The volume represents hard evidence of high research intensity in many fields of macroeconomics, and warns against interpreting the scope of macroeconomics too narrowly. The mainstream business cycle analysis, based on dynamic stochastic general equilibrium (DSGE) modelling of a particular type, has been criticised for its inability to predict or resolve the recent financial crisis. However, macroeconomic research on financial, information, and learning imperfections had not yet made their way into many of the pre-crisis DSGE models because practical econometric versions of those models were mainly designed to fit data periods that did not include financial crises. A major response to the limitations of those older DSGE models is an active research program to bring big financial shocks and various kinds of financial, learning, and labour market frictions into a new generation of DSGE models for guiding policy. The contributors to this book utilise models and modelling assumptions that go beyond particular modelling conventions. By using alternative yet plausible assumptions, they seek to enrich our knowledge and ability to explain macroeconomic phenomena. They contribute to expanding the frontier of macroeconomic knowledge in ways that will prove useful for macroeconomic policy.

Part of a series which focuses on advances in futures and options research, this volume discusses a variety of topics in the field.

In 2050 there will be 9.3 billion people alive - compared with 7 billion today - and the number will still be rising. The population aged over sixty-five will have more than doubled, to more than 16 per cent; China's GDP will be 80 per cent more than America's; and the number of cars on India's roads will have increased by 3,880 per cent. And, in 2050 it should be clear whether we are alone in the universe. What other megachanges can we expect - and what will their impact be? This comprehensive and compelling book will cover the most significant trends that are shaping the coming decades, with each of its twenty chapters elegantly and authoritatively outlined by Economist contributors, and rich in supporting facts and figures. It will chart the rise and fall of fertility rates across continents; how energy resources will change in light of new technology, and how different nations will deal with major developments in science and warfare. Megachange is essential reading for anyone who wants to know what the next four decades hold in store.

This seventh volume in the series covers a variety of topics in financial planning and forecasting.

A provocative look at how and why Britain has fallen into decline from being a superpower in 1914 to being a third world economy in 2014 by two of Britain's leading Economists journalists
With a second recession looming, Britain is facing a moment of truth. Going South examines how the leader of the Industrial Revolution came to exhibit the features of a "developing country." The symptoms of this vertiginous plunge in the world's rankings are already starkly apparent: a chronic balance of payment deficit, a looming shortage of energy and food, a dysfunctional labor market, volatility in economic growth, and a painful vulnerability to external events. And if these are the big indicators of imminent relegation to the Third World, many smaller ones are too numerous to fully catalogue.
So stark is the evidence that it is our contention that Britain's looming relegation is not in doubt. The names change with intellectual fashion--the developing world, the Third World, less-developed countries, "emerging markets," or simply the Global South. But the destination is the same.
Britain is going south--rapidly.
Assuming that Britain faces up to its plight, there is no easy model for the redevelopment of the national economy. Whichever path is taken will be a hard one. The age of the quick fixes is over.