To explain the pronounced instability of the world economy since the 1970s, the book offers an important and systematic theoretical examination of money and finance. It re-examines the classical foundations of political economy and the creator of money. It assesses all of the important theoretical schools since then, including Marxist, Keynesian, post-Keynesian and monetarist thinkers. By presenting important insights from Japanese political economy previously ignored in Anglo-Saxon economics, the authors make a significant contribution to radical political economy based on a thorough historical analysis of capitalism.

If you are at or near retirement, how certain are you that you won't outlive your assets? Until recently, a high percentage of middle-income people reaching retirement could look forward to maintaining their lifestyles with a combination of Social Security, company pensions, and small amounts of savings. Now, middle-income people reaching retirement will be dependent upon receiving lifetime income from their savings and/or a lump sum distribution from a company pension plan.

In "Investing for Income," author and retired financial advisor Curtis Bryant offers this sourcebook of ideas for financial advisors and those nearing retirement. He provides information and ideas regarding the various concepts, products, and services that may help maximize income and assure that it's adequate for a lifetime. He shows that proper use of stocks, real estate, and insurance products can enhance your income, provide growth to offset inflation, and increase your ability to survive and prosper in any market, while reducing your overall risk.

"Investing for Income" is geared toward the middle-income earner who wishes to have a secure retirement. In this new financial world, retirees need to be concerned about outliving their money rather than leaving all they have to the next generation.

The hunt for new forms of value generation is shaping the future of economic and financial interactions, leading to the emergence of innovative business models and technological enablers. Other than challenging our time and space limits, such technological advancements, in some cases, have allowed the generation of value at nearly zero marginal cost. Inevitably, emergent tech solutions are fundamental game changers in digital and conventional finance. In this regard, the book fleshes out the core developments and trending fintech 2.0 solutions that pause challenges and bring opportunities for businesses and economies. It comprises nine main chapters with collective insights and interdisciplinary perspectives covering the business, tech, and regulatory layers of financial technologies and decentralized finance. Besides, the book illustrates how to leverage these state-of-the-art technologies for the evolving digital and decentralized finance world. The book targets a broad audience of researchers, academia, industry professionals, fintech enthusiasts, and the general business audience with timely data and up-to-date cases.

This book presents frontier research on the use of computational methods to model complex interactions in economics and finance. Artificial Intelligence, Machine Learning and simulations offer effective means of analyzing and learning from large as well as new types of data. These computational tools have permeated various subfields of economics, finance, and also across different schools of economic thought. Through 16 chapters written by pioneers in economics, finance, computer science, psychology, complexity and statistics/econometrics, the book introduces their original research and presents the findings they have yielded. Theoretical and empirical studies featured in this book draw on a variety of approaches such as agent-based modeling, numerical simulations, computable economics, as well as employing tools from artificial intelligence and machine learning algorithms. The use of computational approaches to perform counterfactual thought experiments are also introduced, which help transcend the limits posed by traditional mathematical and statistical tools. The book also includes discussions on methodology, epistemology, history and issues concerning prediction, validation, and inference, all of which have become pertinent with the increasing use of computational approaches in economic analysis.

"Financial Modelling in Practice: A Concise Guide for Intermediate and Advanced Level" is a practical, comprehensive and in-depth guide to financial modelling designed to cover the modelling issues that are relevant to facilitate the construction of robust and readily understandable models.

Based on the authors extensive experience of building models in business and finance, and of training others how to do so this book starts with a review of Excel functions that are generally most relevant for building intermediate and advanced level models (such as Lookup functions, database and statistical functions and so on). It then discusses the principles involved in designing, structuring and building relevant, accurate and readily understandable models (including the use of sensitivity analysis techniques) before covering key application areas, such as the modelling of financial statements, of cash flow valuation, risk analysis, options and real options. Finally, the topic of financial modelling using VBA is treated. Practical examples are used throughout and model examples are included in the attached CD-ROM.

Aimed at intermediate and advanced level modellers in Excel who wish to extend and consolidate their knowledge, this book is focused, practical, and application-driven, facilitating knowledge to build or audit a much wider range of financial models.

""An excellent book which presents advanced financial modelling tools and simulations, and applies them to modern aspects of financial management. As a renowned expert in modelling, Michael Rees develops efficient techniques for simulation and sensitivity analysis within an Excel and Excel add-on framework using many useful andtransparent applications in the context of company valuation, derivative business and risk management, enabling the reader to develop good models themselves. A unique book which is highly instructive and motivating.""

--Professor Dr Dieter Gramlich, University of Cooperative Education, Heidenheim, Germany

""Mike Rees's book fills an important gap in the literature on how to model financial data. It not only provides a whole host of useful suggestions on how to design, structure, build and analyse models; including tips on how use some of the more advanced functionality in Excel, but also in a clear and concise way explains how to include uncertainty in to these models. During the last few years many business's environment have changed, creating the need to explicitly include uncertainty into their decision making rather than hide behind simple (and often flawed) assumptions of what the future may hold. Mike clearly understands the importance of this area and includes several sections which provide an excellent introduction to anyone starting to apply these types of techniques in their financial models for the first time. It is the combination of best practice modelling techniques, plenty of examples and the basics of some of the more advanced approaches that make this book a useful addition to anyone building financial models.""

--Andrea Dickens, Decision Analysis Group Leader, Finance Excellence Unilever

Blending humour and behavioural economics, the New York Times bestselling author of Predictably Irrational delves into the truly illogical world of personal finance to help people better understand why they make bad financial decisions, and gives them the knowledge they need to make better ones. Why does paying for things often feel like it causes physical pain? Why does it cost you money to act as your own real estate agent? Why are we comfortable overpaying for something now just because we've overpaid for it before? In Small Change, world renowned economist Dan Ariely answers these intriguing questions and many more as he explains how our irrational behaviour often interferes with our best intentions when it comes to managing our finances. Partnering with financial comedian and writer Jeff Kreisler, Ariely takes us deep inside our minds to expose the hidden motivations that are secretly driving our choices about money. Exploring a wide range of everyday topics - from credit card debt and household budgeting to holiday sales - Ariely and Kreisler demonstrate how our ideas about dollars and cents are often wrong and cost us more than we know. Mixing case studies and anecdotes with tangible advice and lessons, they cut through the unconscious fears and desires driving our worst financial instincts and teach us how to improve our money habits. Fascinating, engaging, funny and essential, Small Change is a sound investment, providing us with the practical tools we need to understand and improve our financial choices, save and spend smarter and ultimately live better. Published in the US as Dollars and Sense.

The central thesis of the book is that in order to evaluate monetary policy, one should have a clear idea about the characteristics and functions of money as it evolved and in its current form. That is to say that without an understanding about how money evolved as a social institution, what it is today, and what is possible to know about monetary phenomena, it is not possible to develop a meaningful ethics for money; or, to put it differently, to find what kind of institutional arrangements may be deemed good money for the kind of society we are in. And without that, one faces severe limitations in offering a normative position about monetary policy. The project is, consequently, an interdisciplinary one. Its main thread is an inquiry of moral philosophy and its foundations, as applied to money, in order to create tools to evaluate public policy in regard to money, banking, and public finance; and the views of different schools on those topics are discussed. The book is organized in parts on metaphysics, epistemology, ethics and politics of money to facilitate the presentation of all the subjects discussed to an educated readership (and not necessarily just one with a background in economics).

KfW has been assigned responsibility by the German government and several other donors for projects designed to reconstruct the financial landscapes of Southeast Europe. These activities are recognized as quite successful in building sustainable financial institutions that serve the small end of the market, with special emphasis on microenterprise and small business. The KfW-managed projects have contributed to the overall stability of financial sectors and to economic recovery and growth through employment creation and investment. This book reviews experience gained and analyses the reasons for the successes achieved, options for further improvement, and scope for replicability in other transition and developing economies. A particularly interesting feature is that relatively small amounts of public funds can catalyse financial markets in volatile environments.

The dynamics of the International Monetary Fund are examined here in terms of how the system coped in the 1980s with the crises resulting from events in Mexico, Brazil, and Argentina, the three most heavily indebted developing countries in the world. Ernest J. Oliveri offers three case studies that demonstrate levels of cooperation and defection in the world of international finance. The Mexican case offers the richest example of cooperation by a Latin American borrower. At the other extreme is Brazil, which adamantly refused to recognize the legitimacy of the IMF as a participant in its economy. In between is Argentina, which took a hard line until 1985 but recently softened its resistance to international pressure. These three countries provide the reader with the widest possible scope of behavior within the confines of an interdependent world economy in crisis. In each of the studies under consideration, the primary independent variable is the system of inter-American finance itself. While Oliveri focuses on separate actors and their roles at different points during the crisis, the final considerations are how they relate to systemic maintenance, the threats they may pose to it, and their efforts to preserve it.

Oliveri observes that international finance in the 1970s was anarchic. By 1982, the system was ill-equipped to accommodate the serious stress caused by de facto defaults. What happens when a severe financial crisis threatens this precarious stability? Can the systeM's behavioral boundaries constrain short-term self-interested actions? The Latin American debt crisis provides such a challenge to the system. Oliveri finds that accommodation by players involves skillful, though capricious and arbitrary, coordination by creditors and borrowers; the IMF is not a manager of an international debt regime, but only one of its players. He concludes that adjustments have indeed been short-term and that at present no mechanism exists to coordinate this volatile system with stable long-term objectives. Latin American specialists, business managers, and political scientists will find this book provocative and informative reading.

Contents:
Introduction Morten Balling
1. In search of anchors for financial and monetary stability Andrew Crockett
2. Banking consolidation in Europe Jacques de Larosière
3. Monetary policy and financial stability in a dynamic world Klaus Liebscher
4. A new capital adequacy framework for Europe Claes Norgren
5. Is a Euroland banking system already emerging? Tommaso Padoa-Schioppa
6. Fiscal discipline and exchange rate regimes: A case for currency boards? Enrique Alberola and Luis Molina
7. Country risk analysis in the light of emerging market crisis Josef Christl and Thomas Spanel
8. Foreign and domestic bank participation in emerging markets: Lessons from Mexico and Argentina B. Gerard Dages, Linda Goldberg and Daniel Kinney
9. Financial stability in the euro area - some lessons from US financial history E. Philip Davis
10. Strategies developed by Spanish banks for adapting to financial globalisation: Mergers, acquisitions and other strategies Ignacio Fuentes and Teresa Sastre
11. Globalisation and Payment Intermediation Hans Geiger
12. A theoretical model of consumer behaviour in the financial services industry Barry Howcroft
13. Inflation, monetary transparency, and G3 exchange volatility Kenneth N. Kuttner and Adam S. Posen
14. Challenges to the structure of financial supervision in the EU Karel Lannoo
15. Financial industry mergers and acquisitions: Evaluating the strategies of diversification or concentration Gary Santry
16. Impact of globalisation on efficiency in the European banking industry: What can we learn from the cost to income ratio? Peter Van Dijcke

Based on interdisciplinary research into "Directional Change", a new data-driven approach to financial data analysis, Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading applies machine learning to financial market monitoring and algorithmic trading. Directional Change is a new way of summarising price changes in the market. Instead of sampling prices at fixed intervals (such as daily closing in time series), it samples prices when the market changes direction ("zigzags"). By sampling data in a different way, this book lays out concepts which enable the extraction of information that other market participants may not be able to see. The book includes a Foreword by Richard Olsen and explores the following topics: Data science: as an alternative to time series, price movements in a market can be summarised as directional changes Machine learning for regime change detection: historical regime changes in a market can be discovered by a Hidden Markov Model Regime characterisation: normal and abnormal regimes in historical data can be characterised using indicators defined under Directional Change Market Monitoring: by using historical characteristics of normal and abnormal regimes, one can monitor the market to detect whether the market regime has changed Algorithmic trading: regime tracking information can help us to design trading algorithms It will be of great interest to researchers in computational finance, machine learning and data science. About the Authors Jun Chen received his PhD in computational finance from the Centre for Computational Finance and Economic Agents, University of Essex in 2019. Edward P K Tsang is an Emeritus Professor at the University of Essex, where he co-founded the Centre for Computational Finance and Economic Agents in 2002.

This new edited volume consists of a collection of original articles written by leading financial economists and industry experts in the area of machine learning for asset management. The chapters introduce the reader to some of the latest research developments in the area of equity, multi-asset and factor investing. Each chapter deals with new methods for return and risk forecasting, stock selection, portfolio construction, performance attribution and transaction costs modeling. This volume will be of great help to portfolio managers, asset owners and consultants, as well as academics and students who want to improve their knowledge of machine learning in asset management.

This book provides institutional information and uses analytical tools to explains why governments should intervene in economies affected by globalization. With analysis of current country experiences and issues, this book is an essential read for all interested in the demands on economic policy in globalized age.

Financial markets, processes, and instruments are often difficult to fathom; and recent turbulence suggests they may be out of control in some respects. Donald Mackenzie is one of the most perceptive analysts of the workings of the financial world. In this book, MacKenzie argues that economic agents and markets need to be analyzed in their full materiality: their physicality, their corporeality, their technicality. Markets are populated not by disembodied, abstract agents, but by embodied human beings and technical systems. Concepts and systematic ways of thinking that simplify market processes and make them mentally tractable are essential to how markets function.
In putting forward this material sociology of markets, the book synthesizes and contributes to the new field of social studies of finance: the application to financial markets not just of economics but of wider social-science disciplines, in particular science and technology studies. The topics covered include hedge funds (the book contains the first social-science study of a hedge fund based on direct observation); the development of financial derivatives exchanges (non-existent in 1970, but now trading products equivalent to $13,000 for every human being on earth); arbitrage; how corporate profit figures are constructed; and the crucial new markets in carbon emissions.
The book will appeal to research students and academics across the social sciences, and the general reader will enjoy the book's explanations and analyses of some of the most important phenomena of today's turbulent markets.

Consumers, public officials, and even managers of health care and insurance are unhappy about care quality, access, and costs. This book shows that is because efforts to do something about these problems often rely on hope or conjecture, not rigorous evidence of effectiveness. In this book, experts in the field separate the speculative from the proven with regard to how care is rendered, how patients can be in control, how providers should be paid, and how disparities can be reduced - and they also identify the issues for which evidence is currently missing. It provides an antidote to frustration and a clear-eyed guide for forward progress, helping health care and insurance innovators make better decisions on deciding whether to go ahead now based on current evidence, to seek and wait for additional evidence, or to move on to different ideas. It will be useful to practitioners in hospital systems, medical groups, and insurance organizations and can also be used in executive and MBA teaching.

The mathematical and statistical tools needed in the rapidly growing quantitative finance field With the rapid growth in quantitative finance, practitioners must achieve a high level of proficiency in math and statistics. Mathematical Methods and Statistical Tools for Finance, part of the Frank J. Fabozzi Series, has been created with this in mind. Designed to provide the tools needed to apply finance theory to real world financial markets, this book offers a wealth of insights and guidance in practical applications. It contains applications that are broader in scope from what is covered in a typical book on mathematical techniques. Most books focus almost exclusively on derivatives pricing, the applications in this book cover not only derivatives and asset pricing but also risk management including credit risk management and portfolio management. * Includes an overview of the essential math and statistical skills required to succeed in quantitative finance * Offers the basic mathematical concepts that apply to the field of quantitative finance, from sets and distances to functions and variables * The book also includes information on calculus, matrix algebra, differential equations, stochastic integrals, and much more * Written by Sergio Focardi, one of the world's leading authors in high-level finance Drawing on the author's perspectives as a practitioner and academic, each chapter of this book offers a solid foundation in the mathematical tools and techniques need to succeed in today's dynamic world of finance.

In recent decades, the financial markets have experienced various crises, shocks and disruptive events, driving high levels of volatility. This volatility is too strong to be fully justified simply by changes in fundamentals. This volume discusses these highly relevant issues with special focus on asset pricing and behavioral finance. Financial price assets of the 2020s appear to be driven by various attractors in addition to fundamentals, and there is no doubt that investor emotions, market sentiment, the news, and external factors such as uncertainty all play a key role. This has been clearly observed in recent years, especially during the ongoing coronavirus pandemic that has changed the common perception of the way financial markets work.

The central question addressed in Financial Innovations and the Welfare of Nations is how the transfer of financial innovations from developed to developing economies can nurture the dynamics of emerging capital markets. National capital markets can be positioned along a continuum ranging from embryonic to mature and emerged markets according to a decreasing "national cost of capital" criterion. In the introductory chapter Laurent Jacque argues that newly emerging countries are handicapped by a high cost of capital due to "incomplete" and inefficient financial markets. As capital markets graduate to higher level of "emergedness," their national firms avail themselves of a lower cost of capital that makes them more competitive in the global economy and spurs economic growth. Skillful transfer of financial innovations to emerging markets often encourages the deregulation of the country's financial services sector. This results into new conduits for a more efficient capital allocation process such as commercial paper, securitized consumer finance and other disintermediated modes of financing which out-compete traditional financial intermediaries (mostly commercial banks), reduce households' cost of living and conjointly fuel the dynamics of emerging markets. Our response to the central question of how the transfer of financial innovations can enhance the Wealth of Nations is to show that it reduces the cost of capital while not unduly increasing systemic risk. Part I examines the relationship between financial innovations and systemic risk of the international financial system.

This open access book is an outcome of the EU's Horizon 2020 project 'Financial and Institutional Reforms for an Entrepreneurial Society' (FIRES). Building on historical, economic and legal analysis, and combining methods and data across disciplines, the authors provide policymakers, stakeholders and scholars with valuable new tools for assessing and improving Europe's entrepreneurial ecosystems. Then experts from Germany, Italy and the United Kingdom discuss tailored strategies for introducing entrepreneurial policy reforms in their respective countries.

Expert advice on building an unshakable foundation as a financial advisor to the elite

The revised and updated edition of the definitive guide to growing and maintaining a financial advice firm, "The New Advisor for Life" explores the fallout of the market crash on up-and-coming advisors. With a particular focus on the generation X and Y concern with debt management and long-term investment, this new edition examines what young investors look for in an advisor. Today, more than ever, insight, analysis, and validation are valued, but to be truly successful, an advisor needs to walk the line between being well-informed but not appearing condescending. What today's investors want in a financial advisor is someone who can cut through the noise and clutter of the financial services industry and the mainstream mediaCovers the basics, from setting a client's investment goals, selecting complementary investments, and monitoring portfolio balance, to the advanced--developing a personal finance plan for your clients based on their specific needsVP of Fidelity Investments Steve Gresham presents a 19-point checklist for financial advisors to offer their clients "life advice"

Keeping clients engaged is more important than ever, and "The New Advisor for Life" gives the aspiring financial advisor the secrets to success normally reserved for the country's top firms.

This volume presents selected papers from the 19th Eurasia Business and Economics Society (EBES) Conference held in Istanbul. Its primary emphasis is on showcasing the latest empirical research on social change, sustainable development and the management of public and private organizations in emerging economies. The respective articles also address more specialized and related topics such as financial risk tolerance, international strategic partnerships, female labor force participation, human capital dynamics, and economic integration, among others.

Despite massive investments in mitigation capabilities, financial crime remains a trillion-dollar global issue with impacts that extend well beyond the financial services industry. Worldwide, there are between $800 billion and $2 trillion laundered annually with the United States making up at least $300 billion of that figure. Although it is not possible to measure money laundering in the same way as legitimate economic activity, the scale of the problem is considered enormous. The cybersecurity landscape is always shifting, with threats becoming more sophisticated all the time. Managing risks in the banking and financial sectors requires a thorough understanding of the evolving risks as well as the tools and practical techniques available to address them. Cybercrime is a global problem, which requires a coordinated international response. This book outlines the regulatory requirements that come out of cyber laws and showcases the comparison in dealing with AML/CFT and cybersecurity among the G-20, which will be of interest to scholars, students and policymakers within these fields.

The current crisis is emerging as the most severe downturn since the Great Depression. This book examines its cause, the efforts to contain the crisis and proposes a cure that will limit the risk that such crises could recur in the future.