The financial stress of 2008 propelled the world into the most severe recession since the great depression. Despite the significant risk that it poses to the real economy, the complex interaction between financial stress and economic performance is not well understood due to the crucial gaps that remain in our understanding of this critical and dynamic relationship. Dynamics of Financial Stress and Economic Performance: Insights and Analysis from the World Economy attempts to understand the complex non-linear dynamics between financial system stress and economic performance on a global level. An analytical approach is taken to examine twelve major countries, and provide a detailed understanding of the crucial financial and economic issues faced in light of financial stress; including interest rate bottoms, inflation asymmetries, financial health of households, money supply bubbles, fiscal issues, trade dynamics, over leveraging of the financial markets, behaviour of housing prices, debt problems, potential for economic growth, or a complex combination of any of the above. This book will appeal to practitioners, students and researchers in fields such as financial economics, risk management and quantitative finance who wish to expand their knowledge of these crucial and complex dynamics. It is also an appealing read for those who are generally curious about business, banking, financial markets and macro-economic issues occurring on both an individual country and global level.

This book is in honor of Yasuhiko Takahara, a first-class researcher who has been active for some 50 years at the global level in systems research. Researchers and practitioners from Japan and other countries who have been influenced by Takahara have come together from far and wide to contribute their major research masterpieces in the field of systems research in the broadest sense. While the roots of Takahara's systems research are in general systems theory and systems control theory, he developed his research and teaching in diverse directions such as management information science, engineering, social simulation, and systems thinking. As a result, many of the researchers and practitioners he supervised or influenced have established their own positions and are now active around the world in a wide range of systems research. Volume II is a collection of their masterpieces or representative works in the fields of systems management theory and practice.

The role of a financial manager is to maintain a firm's liquidity and solvency by providing the cash flows necessary to satisfy its obligations and acquiring and financing the current and fixed assets needed to achieve its goals. However, the management of a firm's assets is not exclusively in the hands of a financial manager. Other functional departments, especially purchasing and marketing, play a significant role.

Finance For Non-Financial Managers thus provides an understanding of the principles of financial management as required to contribute favourably to the long-term success of a firm. Finance for non-financial managers explains the financial goals of a firm and illustrates how the principles of finance should be applied in creating wealth as opposed to simply maximising profit. With its ideal for anyone who has little or no prior knowledge of accounting or financial management.

In particular, Finance For Non-Financial Managers deals with the following:

• the long-term goal of creating value and the short-term goals of profitability and liquidity;
• analysing and interpreting financial statements;
• using a financial calculator;
• managing cash flow (liquidity), accounts receivable and inventory (stock).

Finance For Non-Financial Managers is aimed at managers involved in marketing, human resources, information technology and supply chain management, and for professionals such as engineers, architects, attorneys and medical professionals in private practice.

This book explores the history of the Organization for Economic Co-operation and Development (OECD) and its place within capitalist development. Since 1948, the OECD and its forerunner, the Organization for European Economic Cooperation (OEEC) worked on almost every subject of interest to national governments ranging from economic growth to education (PISA rankings), statistics, to the environment. With varying success the OEEC/OECD thus played a key role as a warden of the West and of capitalist development. However, it has remained one of the least understood international organizations. Bringing together a number of case studies by scholars from around the world, this first source-based volume on the history of the OEEC/OECD in global governance offers not only a new understanding of the Organization's key areas of activities, but also its multiple relations to member states, other international organizations, and private networks. The volume thus critically re-examines postwar international history, most importantly decolonization and the Cold War, through the prism of one international organization in its various contexts.

This book focuses on the alternative techniques and data leveraged for credit risk, describing and analysing the array of methodological approaches for the usage of techniques and/or alternative data for regulatory and managerial rating models. During the last decade the increase in computational capacity, the consolidation of new methodologies to elaborate data and the availability of new information related to individuals and organizations, aided by the widespread usage of internet, set the stage for the development and application of artificial intelligence techniques in enterprises in general and financial institutions in particular. In the banking world, its application is even more relevant, thanks to the use of larger and larger data sets for credit risk modelling. The evaluation of credit risk has largely been based on client data modelling; such techniques (linear regression, logistic regression, decision trees, etc.) and data sets (financial, behavioural, sociologic, geographic, sectoral, etc.) are referred to as "traditional" and have been the de facto standards in the banking industry. The incoming challenge for credit risk managers is now to find ways to leverage the new AI toolbox on new (unconventional) data to enhance the models' predictive power, without neglecting problems due to results' interpretability while recognizing ethical dilemmas. Contributors are university researchers, risk managers operating in banks and other financial intermediaries and consultants. The topic is a major one for the financial industry, and this is one of the first works offering relevant case studies alongside practical problems and solutions.

There are few innovations that have the potential to revolutionize commerce and have evolved so quickly that there remain significant misunderstandings about their operation, opportunity, and challenges as has Bitcoin in the dozen years since its invention. The potential for banking, transacting, and public recording of important records is profound, but can be displacing if not done with appropriate care, and is downright dangerous if certain pitfalls are not noted and avoided. Among other things, this book proves the existence of a Bitcoin dilemma that challenges the conventional wisdom which mistakenly asserts the incredibly intensive energy consumption in Proof-of-Work cryptocurrency mining will be remedied by more efficient mining machines or sustainable power sources. It shows for the first time within a well-specified economic model of Bitcoin mining that the recent runup in electricity consumption has a simple and inevitable explanation. For a coin with almost completely inelastic supply and steadily increasing demand, the conditions for accelerating electricity demand is consistent with economic theory and may well characterize the future of Bitcoin. The book also demonstrates the counterintuitive result that improvements in mining efficiency, in terms of electricity consumption per terahash of processing power, or decreases in electricity costs as cheaper sustainable energy is diverted to this industry, merely exacerbates the acceleration of energy consumption because of a prisoner's dilemma arms-race-to-the-bottom. The book proposes policy solutions to mitigate this Bitcoin dilemma but note that the mobility of industry capacity which needs but a ready supply of electricity and an Internet connection frustrates local regulation and warrants global solutions. The incredible opportunities of this industry will only be realized if our regulators, legislators, entrepreneurs, and general public garner a more complete and objective understanding of this and other Proof-of-Work mining techniques. The book provides this broader perspective based on the author's research as an economist, his position as a director of a large regional bank, his understanding as a technologist and as an environmental and sustainability researcher, and his public policy experience as a mayor who has also written books and articles about public policy and public finance.

The book shows that self-help in commercial law is a fast, inexpensive and efficient alternative to court enforcement. Self-help remedies and private debt collection are largely but not exclusively features of common law jurisdictions, since remnants of private enforcement can still be found in contract law in civilian systems. The book argues that - despite their usefulness - self-help and private debt collection entail significant risks, especially for consumer debtors. This means that private enforcement needs to be accompanied by the introduction of tailor-made consumer-debtor protection regulation. Specific attention is given to factoring, which functions in many instances as a form of pseudo-private debt collection and which has been exploited to bypass sector-specific consumer protection regulations.

This book presents a comprehensive analysis of the alterations and problems caused by new technologies in all fields of the global digital economy. The impact of artificial intelligence (AI) not only on law but also on economics is examined. In the first part, the economics of AI are explored, including topics such as e-globalization and digital economy, corporate governance, risk management, and risk development, followed by a quantitative econometric analysis which utilizes regressions stipulating the scale of the impact. In the second part, the author presents the law of AI, covering topics such as the law of electronic technology, legal issues, AI and intellectual property rights, and legalizing AI. Case studies from different countries are presented, as well as a specific analysis of international law and common law. This book is a must-read for scholars and students of law, economics, and business, as well as policy-makers and practitioners, interested in a better understanding of legal and economic aspects and issues of AI and how to deal with them.

This book provides a concise analysis of behavioural biases and their implications for financial decision making. The book is written in the normative tradition, arguing strongly for the superiority of behavioural finance with respect to explaining observed phenomena in financial markets. It offers some unique features, including a discussion of the issue of conspiracy theory and how behavioural biases lead to belief in conspiracy theories. Lingering belief in the principles of neoclassical finance is attributed in part to the doctrine of publish or perish, which dominates contemporary academia. The offshoots of behavioural finance are discussed in detail, including ecological finance, environmental finance, social finance, experimental finance, neurofinance, and emotional finance. A comprehensive discussion of narcissism is presented where it is demonstrated that narcissistic behaviour is prevalent in the finance industry and that it led to the eruption of the global financial crisis.

This book brings together conceptual and empirical analyses of the causes and consequences of changing business-government relations in China since the 1990s, against the backdrop of the country's increased integration with the global political economy. More specifically, it provides an interdisciplinary account of how the dominant patterns of interactions between state actors, firms and business organizations have changed across regions and industries, and how the changing varieties of these patterns have interacted with the evolution of key market institutions in China. The contributors to this edited volume posit that business-government relations comprise a key linchpin that defines the Chinese political economy and calibrates the character of its constitutive institutional arrangements.

The book analyses the Spanish financial system from the turn of the last century to the present day and the economic, social and political backdrop to this history. The result is a consummate survey of historical developments leading right up to today's key issues and challenges, and to what the future may hold.

Rapid growth in financial services regulation in many countries has led to demand for high quality data about agencies and institutions involved in national and international regulatory systems and explanation of the legal context in which they operate. This major new information service provides detailed, consistently presented information for nearly 1400 institutions globally. It is divided into four regional volumes, each published twice annually, covering organizations with regulatory responsibilities, whether primary or secondary, for the banking and financial services industry on both national and international levels. These include: statutory regulators for all financial services sectors; ministries of finance; central banks; self-regulatory organizations and other bodies which help maintain the integrity of financial markets such as stock exchanges, clearing houses, ombudsmen, compensation schemes, deposit insurers, corporate governance initiatives; and professional financial services associations setting mandatory standards for their members. Also included are international bodies that influence the financial services sector within their regions.

Financial Technology (Fintech) has revolutionized the financial world as one of the fastest-growing segments in both the technology and financial sectors. With the usage of underlying principles of Blockchain technology, Fintech is bringing the financial community together and making financial services accessible to everyone. Fintech has far-reaching implications for Islamic finance such as banking, investment, insurance (takaful) and wealth management, which are benefitting from this usage. This book provides a comprehensive review of how Fintech is shaping the Islamic finance industry through three key aspects: Digitalization, Development and Disruption. The book will provide insight on the Shariahtech (Fintech in line with Shariah principle) and its application in the Islamic finance industry. The book also gives an overview of Blockchain and Fintech evolution and how they act as the building blocks of the digital financial landscape. Readers of the book will also get a detailed discernment on the Islamic viewpoint on cryptocurrency as well as the application of the smart contract in different Islamic financial services. The book provides students, academics and researchers with a detailed description of the Blockchain and Fintech application in Islamic finance.

Wealth inequality has been not only rising at unsustainable pace but also dissociated from income inequality because of the fact that wealth is increasing without concomitant increase in savings and productive capital. Compelling evidence indicates that capital gains and other economic rents are mainly responsible for wealth inequality and its divergence from income inequality. The main argument of the book is that interest-based debt contracts are one of the drivers of wealth inequality through creating disproportional economic rents for the asset-rich. The book also introduces the idea of risk-sharing asset-based redistribution, which is a novel and viable policy proposal, as an effective redistribution tool to address the wealth inequality problem. Furthermore, a large-scale stock-flow consistent macroeconomic model, which is step by step constructed in the book, sheds light on the formation of wealth inequality in a debt-based economy and on the prospective benefits of implementing risk-sharing asset-based redistribution policy tools compared to traditional redistribution policy options. The research presented in this book is novel in many respects and first of its kind in the Islamic economics and finance literature.

This book presents the building blocks of Islamic economics as meso-science, offering an in-depth study of the Qur'anic worldview of the monotheistic unity of knowledge, which is the universal and unique message of Tawhid in the Qur'an. This primal ontological premise is formalised in an analytical approach that introduces and unpacks the philosophical concepts of ontology, epistemology, and phenomenology in relation to the Tawhidi methodological worldview. The analysis of Qur'anic logical consistency is then cast in a phenomenological perspective by applying the complete model of the unity of knowledge of the Qur'an in a specific study of the Tawhidi methodological approach to Islamic financial-economic theory. In doing so, it tackles the problems of meso-economics given its socio-scientific holism in world affairs. It hones in on the results of the symbiotic modulation of evolutionary learning processes in the world system of the unity of knowledge and its material embedding across knowledge, and knowledge-induced space and time dimensions. The author poses that Shari'ah is only partial in its scope, and excludes an analytical methodological worldview. Shari'ah is thus cast in the midst of a meso-socio-scientific absence of any appertaining methodology. The book is a landmark work in the conceptual and applied understanding of Tawhid as the methodological worldview of the monotheistic unity of knowledge in the meso-socio-scientific realm of 'everything', particularised to Islamic economics. Adopting an inter-disciplinary view integrating various fields, it challenges pervasive Western academic and institutional thinking in terms of economics. It will be of interest to students and researchers in Islamic economics, religious theory, Islamic philosophy, development studies, and finance.

This book summarizes recent Chinese discussions about Internet finance-a new financial business type resulting from an innovative thinking under the new normal-in the light of the actual situation of China in transformation, especially the thirst of the grass-roots economy including medium-small and micro-sized enterprises as well as residents for financial services. The Internet finance is of great significance for optimizing and upgrading the industrial structure, improving the demand structure and reshaping the economic growth mode in China. This book will interest scholars, journalists, and businesspeople.

This book takes a fresh look at understanding how financial markets behave. Using recent ideas from the highly-topical science of complexity and complex systems, the book provides the basis for a unified theoretical description of how today's markets really work. Since financial markets are an excellent example of a complex system, the book also doubles as a science textbook.

This book provides a detailed examination of foreign direct investment (FDI) inflows in Central and Eastern Europe (CEE) after closer integration in the European Union. An important facet of European economic integration was the development of a free-trade area in Central and Eastern Europe, which improved market accessibility. However, to date these relations have been little explored theoretically.The book examines foreign investments in different transition countries from both a theoretical and an empirical perspective. It analyzes changes in the choice of location by foreign investors in nineteen CEE countries between 1992 and 2015, and shows that it is linked to the removal of intra-regional trade barriers. The findings suggest that regional integration increases the incentives for multinationals to invest in the participating countries, especially in those with larger markets and lower production costs.

This book on counting statistics presents a novel copula-based approach to counting dependent random events. It combines clustering, combinatorics-based algorithms and dependence structure in order to tackle and simplify complex problems, without disregarding the hierarchy of or interconnections between the relevant variables. These problems typically arise in real-world applications and computations involving big data in finance, insurance and banking, where experts are confronted with counting variables in monitoring random events. In this new approach, combinatorial distributions of random events are the core element. In order to deal with the high-dimensional features of the problem, the combinatorial techniques are used together with a clustering approach, where groups of variables sharing common characteristics and similarities are identified and the dependence structure within groups is taken into account. The original problems can then be modeled using new classes of copulas, referred to here as clusterized copulas, which are essentially based on preliminary groupings of variables depending on suitable characteristics and hierarchical aspects. The book includes examples and real-world data applications, with a special focus on financial applications, where the new algorithms' performance is compared to alternative approaches and further analyzed. Given its scope, the book will be of interest to master students, PhD students and researchers whose work involves or can benefit from the innovative methodologies put forward here. It will also stimulate the empirical use of new approaches among professionals and practitioners in finance, insurance and banking.

Strengthening financial sector regulatory arrangements has been a major focus of the G-20 since the crisis in 2008, and progress in strengthening financial regulations is often cited as its success. Nonetheless, the overall contribution of the G20 as a political forum for the oversight of international financial regulation is diming as FinTech is blurring the boundaries between intermediaries and markets, as well as between digital service providers moving into the financial space, nonbank financial companies, and banks. Along the same line, financial technology is causing paradigm changes to the traditional financial system, presenting both challenges and opportunities. As FinTech grows rapidly, the importance of regulation and supervision becomes more prominent. The three cornerstones of banking: taking deposits, making loans, and facilitating payments are being reassembled functionally and digitally outside of the bank regulatory perimeter by certain firms. Without comprehensive consolidated supervision, no single regulator can see the whole picture and understand how a firm as a whole operates and takes risk. No crypto firm to date is subject to comprehensive consolidated supervision, creating gaps in supervision alongside risks. Countries around the world are taking divergent views on cryptocurrency and other so-called “Web3” technologies based on blockchain. This book aims to provide a comparison between the various available approaches, models, or legislations by identifying certain key legislative policies within the G-20 as they cope with innovative financial technologies, and will be of interest to scholars, students, and practitioners of banking, financial regulation, risk management, and financial technology.

This volume contains selected papers that were presented at the International Conference COMPUTATIONAL FINANCE 1997 held at London Business School on December 15-17 1997. Formerly known as Neural Networks in the Capital Markets (NNCM), this series of meetings has emerged as a truly multi-disciplinary international conference and provided an international focus for innovative research on the application of a multiplicity of advanced decision technologies to many areas of financial engineering. It has drawn upon theoretical advances in financial economics and robust methodological developments in the statistical, econometric and computer sciences. To reflect its multi-disciplinary nature, the NNCM conference has adopted the new title COMPUTATIONAL FINANCE. The papers in this volume are organised in six parts. Market Dynamics and Risk, Trading and Arbitrage strategies, Volatility and Options, Term-Structure and Factor models, Corporate Distress Models and Advances on Methodology. This years' acceptance rate (38%) reflects both the increasing interest in the conference and the Programme Committee's efforts to improve the quality of the meeting year-on-year. I would like to thank the members of the programme committee for their efforts in refereeing the papers. I also would like to thank the members of the computational finance group at London Business School and particularly Neil Burgess, Peter Bolland, Yves Bentz, and Nevil Towers for organising the meeting.

What is econophysics? What makes an econophysicist? Why are financial economists reluctant to use results from econophysics? Can we overcome disputes concerning hypotheses used in financial economics and that make no sense for econophysicists? How can we create a profitable dialogue between financial economists and econophysicists? How do we develop a common theoretical framework allowing the creation of more efficient models for the financial industry? This book moves beyond the disciplinary frontiers in order to initiate the development of a common theoretical framework that makes sense for both traditionally trained financial economists and econophysicists. Unlike other publications dedicated to econophysics, this book is written by two financial economists and it situates econophysics in the evolution of financial economics. The major issues that concern the collaboration between the two fields are analyzed in detail. More specifically, this book explains the theoretical and methodological foundations of these two fields in an accessible vocabulary providing the first extensive analytic comparison between models and results from both fields. The book also identifies the major conceptual gate-keepers that complicate dialogue between the two communities while it provides elements to overcome them. By mixing conceptual, historical, theoretical and formal arguments our analysis bridges the current deaf dialogue between financial economists and econophysicists. This book details the recent results in econophysics that bring it closer to financial economics. So doing, it identifies what remains to be done for econophysicists to contribute significantly to financial economics. Beyond the clarification of the current situation, this book also proposes a generic model compatible with the two fields, defining minimal conditions for common models. Finally, this book provides a research agenda for a more fruitful collaboration between econophysicists and financial economists, creating new research opportunities. In this perspective, it lays the foundations for common theoretical framework and models.

This book is devoted to problems of stochastic control and stopping that are time inconsistent in the sense that they do not admit a Bellman optimality principle. These problems are cast in a game-theoretic framework, with the focus on subgame-perfect Nash equilibrium strategies. The general theory is illustrated with a number of finance applications.In dynamic choice problems, time inconsistency is the rule rather than the exception. Indeed, as Robert H. Strotz pointed out in his seminal 1955 paper, relaxing the widely used ad hoc assumption of exponential discounting gives rise to time inconsistency. Other famous examples of time inconsistency include mean-variance portfolio choice and prospect theory in a dynamic context. For such models, the very concept of optimality becomes problematic, as the decision maker's preferences change over time in a temporally inconsistent way. In this book, a time-inconsistent problem is viewed as a non-cooperative game between the agent's current and future selves, with the objective of finding intrapersonal equilibria in the game-theoretic sense. A range of finance applications are provided, including problems with non-exponential discounting, mean-variance objective, time-inconsistent linear quadratic regulator, probability distortion, and market equilibrium with time-inconsistent preferences. Time-Inconsistent Control Theory with Finance Applications offers the first comprehensive treatment of time-inconsistent control and stopping problems, in both continuous and discrete time, and in the context of finance applications. Intended for researchers and graduate students in the fields of finance and economics, it includes a review of the standard time-consistent results, bibliographical notes, as well as detailed examples showcasing time inconsistency problems. For the reader unacquainted with standard arbitrage theory, an appendix provides a toolbox of material needed for the book.

This book presents economic and socio-cultural perspectives on globalization from emerging markets. It explores the links between globalization and development, and reveals the dynamics, strengths and weaknesses, trends in and implications of globalization in emerging market economies. Gathering papers by leading experts in the field, it shares essential insights into the history and status quo of globalization processes and structures; identifies the opportunities provided by and risks posed by globalization; and sheds light on the way to global peace. The topics addressed range from globalization development within the Group of Twenty (G20), populist events such as "Brexit" as a form of historical irony, and a zeitgeist analysis of the globalization spirit; to the evolution of higher education and public administrative systems under the weight of globalization; not to mention emerging topics such as the informal economy and new rules for fleecing the South in the newly globalized trade system.