This book tells the story of Burma's financial system - of its banks, moneylenders and 'microfinanciers' - from colonial times to the present day. It argues that Burma's financial system matters, and that the careful study of this system can tell us something more general about Burma - not least about how the richest country in Southeast Asia at the dawn of the twentieth century, became the poorest at the dawn of the twenty-first. While financial systems and institutions matter in all countries, Turnell argues that they especially count in Burma as events in the financial and monetary sphere have been unusually, spectacularly, prominent in Burma's turbulent modern history. The story of Burma's financial system and its players is one that has shaped the country. It is a dramatic story of interest beyond the confines of economics and development studies.

"How did Sweden go from a financially backward country to one with a well functioning financial system? Why did this financial revolution occur after the mid-nineteenth century and not before? This book discusses the role of politics and economics in this change and what it means for economic development, market integration and financial crises"--Provided by publisher.

Elgar Advanced Introductions are stimulating and thoughtful introductions to major fields in the social sciences, business and law, expertly written by the world's leading scholars. Designed to be accessible yet rigorous, they offer concise and lucid surveys of the substantive and policy issues associated with discrete subject areas. Taking a detailed tour through the emerging economic field of financial inclusion, this timely book charts the subtle conceptual shifts that gave rise to the focus on inclusivity in development finance, and provides an overview of key concepts, issues, and empirical findings. Diving into the crucial interaction of financial inclusion with gender, further chapters present new conceptual frameworks for thinking about these interactions, as well as discussing the impacts of gendered financial exclusion on both economic and empowerment outcomes. Key Features: Comprehensive introduction to the theory and practice of financial inclusion Accessible style, with focus boxes detailing more advanced material In-depth analysis of the relationship between female empowerment and financial inclusion Up to date discussions of recent developments in FinTech, the impact of microfinance, and the new frontiers of financial inclusion research Discussing what is known about the economic impacts of financial inclusion and what is still to be discovered, this book is an ideal companion for students and researchers of development finance and economics. It aims to inspire current and future cohorts of researchers and policymakers, as well as practitioners with an interest in financial inclusion.

For the large number of developing countries undergoing significant structural transformations, one of the most important and controversial adjustment areas is that of the financial markets. Focusing on the role of the institutional and enabling environment within which financial reform occurs and on the integration of principles of finance with more macroeconomic approaches to the subject, the book contains case studies of reform experiences in Argentina, India, Nigeria, Turkey and Uruguay. Themes studied include the 'go slow' versus 'big bang' approach and the particular problem of bank-firm inter-linkages in Eastern Europe.

This book collects selected articles addressing several currently debated issues in the field of international macroeconomics. They focus on the role of the central banks in the debate on how to come to terms with the long-term decline in productivity growth, insufficient aggregate demand, high economic uncertainty and growing inequalities following the global financial crisis. Central banks are of considerable importance in this debate since understanding the sluggishness of the recovery process as well as its implications for the natural interest rate are key to assessing output gaps and the monetary policy stance. The authors argue that a more dynamic domestic and external aggregate demand helps to raise the inflation rate, easing the constraint deriving from the zero lower bound and allowing monetary policy to depart from its current ultra-accommodative position. Beyond macroeconomic factors, the book also discusses a supportive financial environment as a precondition for the rebound of global economic activity, stressing that understanding capital flows is a prerequisite for economic-policy decisions.

The book provides a comprehensive overview of the latest econometric methods for studying the dynamics of macroeconomic and financial time series. It examines alternative methodological approaches and concepts, including quantile spectra and co-spectra, and explores topics such as non-linear and non-stationary behavior, stochastic volatility models, and the econometrics of commodity markets and globalization. Furthermore, it demonstrates the application of recent techniques in various fields: in the frequency domain, in the analysis of persistent dynamics, in the estimation of state space models and new classes of volatility models. The book is divided into two parts: The first part applies econometrics to the field of macroeconomics, discussing trend/cycle decomposition, growth analysis, monetary policy and international trade. The second part applies econometrics to a wide range of topics in financial economics, including price dynamics in equity, commodity and foreign exchange markets and portfolio analysis. The book is essential reading for scholars, students, and practitioners in government and financial institutions interested in applying recent econometric time series methods to financial and economic data.

This book addresses contemporary empirical issues in Islamic stock markets including volatility, efficiency and Sukuk defaults. The studies contained within this book consider a combination of pure Islamic stock markets and comparative studies, with reference to their conventional counterparts. The authors provide up-to-date, robust, accurate, reliable empirical enquiries addressing current issues of stock markets as well as providing up to date information and statistics to support future development and research. The book also covers a chapter on the current trends in research in Islamic capital markets, which analyses some recent and leading works to highlight and indicate the gaps in research that require further exploration. This book will be of value to all those who wish to gain a more thorough understanding of research in Islamic capital markets and the major topics in the field.

China's prospects of successfully completing the transition to a market economy and becoming the world's largest economy during the 21st century depend on the future sustainability of high rates of economic growth. This book is a comprehensive, balanced and realistic assessment of China's financial reform program and future direction. Covering not only the banking sector but also non-bank financial institutions, stock market development and external financial liberalization, the authors examine the impact of financial reform on economic development in China during the reform period. This volume will facilitate a more accurate assessment of the Chinese approach to financial reform, and will therefore, allow more informed future policy choices for both China and other developing and transitional countries. Financial Reform and Economic Development in China contains a wealth of information for anyone concerned with China's economic future, and should be required reading for those in the corporate business sector, academics and government analysts.

The Black Scholes option pricing model is the first and by far the best-known continuous-time mathematical model used in mathematical finance. Here, it provides a sufficiently complex, yet tractable, testbed for exploring the basic methodology of option pricing. The discussion of extended markets, the careful attention paid to the requirements for admissible trading strategies, the development of pricing formulae for many widely traded instruments and the additional complications offered by multi-stock models will appeal to a wide class of instructors. Students, practitioners and researchers alike will benefit from the book's rigorous, but unfussy, approach to technical issues. It highlights potential pitfalls, gives clear motivation for results and techniques and includes carefully chosen examples and exercises, all of which make it suitable for self-study.

This book focuses specifically on the key results in stochastic processes that have become essential for finance practitioners to understand. The authors study the Wiener process and Ito integrals in some detail, with a focus on results needed for the Black-Scholes option pricing model. After developing the required martingale properties of this process, the construction of the integral and the Ito formula (proved in detail) become the centrepiece, both for theory and applications, and to provide concrete examples of stochastic differential equations used in finance. Finally, proofs of the existence, uniqueness and the Markov property of solutions of (general) stochastic equations complete the book. Using careful exposition and detailed proofs, this book is a far more accessible introduction to Ito calculus than most texts. Students, practitioners and researchers will benefit from its rigorous, but unfussy, approach to technical issues. Solutions to the exercises are available online.

Driven by concrete computational problems in quantitative finance, this book provides aspiring quant developers with the numerical techniques and programming skills they need. The authors start from scratch, so the reader does not need any previous experience of C++. Beginning with straightforward option pricing on binomial trees, the book gradually progresses towards more advanced topics, including nonlinear solvers, Monte Carlo techniques for path-dependent derivative securities, finite difference methods for partial differential equations, and American option pricing by solving a linear complementarity problem. Further material, including solutions to all exercises and C++ code, is available online. The book is ideal preparation for work as an entry-level quant programmer and it gives readers the confidence to progress to more advanced skill sets involving C++ design patterns as applied in finance.

Students in various disciplines-from law and government to business and health policy-need to understand several quantitative aspects of finance (such as the capital asset pricing model or financial options) and policy analysis (e.g., assessing the weight of probabilistic evidence) but often have little quantitative background. This book illustrates those phenomena and explains how to illustrate them using the powerful visuals that computing can produce. Of particular interest to graduate students and scholars in need of sharper quantitative methods, this book introduces the reader to Mathematica, enables readers to use Mathematica to produce their own illustrations, and places specific emphasis on finance and policy as well as the foundations of probability theory.

The book is a contemporary compilation of important research in the area of microfinance and financial inclusion. It explores a plurality of views and experiences from different parts of the world while linking a variety of international research backgrounds. Accordingly the book will fill a gap in providing a carefully curated cross-sectorial selection of topics relevant to the development finance research community primarily but also industry practitioners who are interested in keeping abreast of developing research. Benefits in this regard also include being able to provide a platform to less established researchers offering them a voice in published form.

Essentials of Time Series for Financial Applications serves as an agile reference for upper level students and practitioners who desire a formal, easy-to-follow introduction to the most important time series methods applied in financial applications (pricing, asset management, quant strategies, and risk management). Real-life data and examples developed with EViews illustrate the links between the formal apparatus and the applications. The examples either directly exploit the tools that EViews makes available or use programs that by employing EViews implement specific topics or techniques. The book balances a formal framework with as few proofs as possible against many examples that support its central ideas. Boxes are used throughout to remind readers of technical aspects and definitions and to present examples in a compact fashion, with full details (workout files) available in an on-line appendix. The more advanced chapters provide discussion sections that refer to more advanced textbooks or detailed proofs.

Money is a promise with future benefits or dangers that are unknowable and incalculable. The financial sector is an attempt to beat uncertainty by speculating on whether prices will rise or fall. No matter how often the folly of this opportunism is shown through crisis after crisis of trust, efforts to defeat uncertainty persist. Yet uncertainty is unavoidable. Squeezed in one place, it emerges in another. Based on extensive interviews with leading actors in the financial sector, this book argues that the only way to cope with uncertainty is by relying on emotions and values. It presents an original explanation of how booms and busts arise from internal disputes over the emotions of trust between global financial corporations. Confidence and suspicion alternate between which strategy may beat competitors and who is cheating whom. Just as the first edition warned of continuing dangers in finance s betrayal of society s trust, this new edition provides a sociological explanation of how these irrational quests for certainty contributed to the current financial crisis in the credibility of money.

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.

This book is the second of the two volumes featuring selected articles from the 14th Eurasia Business and Economics conference held in Barcelona, Spain, in October 2014. Peer-reviewed articles in this second volume present latest research findings and breakthroughs in the areas of General Management, Human Resource Management, Marketing, SMEs, and Entrepreneurship. The contributors are both distinguished and young scholars from different parts of the World.

This illuminating and thought-provoking book questions whether classical Islamic capitalism, which has served Muslims so well for centuries, can provide a viable alternative world economic system. In the current recession - the worst since 1929 - this is surely a provocative question. But if Islamic capitalism is to emerge as a viable alternative, its nature and systems must be well understood. Murat Cizakca explores key issues within Islamic capitalism and finance, shedding light on whether the Islamic system can indeed be called 'capitalist', the principles on which the system was built, the institutions that were consequently developed, how they function and have evolved, and, perhaps, most importantly, whether they can be modernized to meet today's needs. Against the backdrop of rapid change in the Middle East, this book gives a solid background to the economic systems that will emerge in the world of Islam. An essential guide to the past, present and future of Islamic economy and finance, this compelling book will prove to be of particular interest to academics and researchers of economics, finance, economic and financial history and political science.

This book presents a quarter of a century of empirical research on interest rates and a variety of asset prices. It will serve to deepen our understanding of asset price inflation. The book includes extensive analysis of the measurement of interest rates, with case studies from The Netherlands, Belgium and EMU, and emphasizes statistical measurement and the attempt to understand interest rate behaviour through statistical estimation. The book also includes an examination of historical interest rate development in the long run, both theoretically and empirically. In conclusion, Professor Fase also analyses the behaviour of bonds, stocks and investment in art and examines the factors indispensable for a monetary strategy designed to target inflation.

Blockchains and cryptocurrencies, open banking, virtual assets, and artificial intelligence have become the buzzword of this decade. This book focuses on these 'disruptive' financial technologies that provide alternatives to the traditional financial services typically offered by regulated financial institutions. Financial technologies are characterized by the innovative ways in which they initiate, support or extend traditional financial services or offer alternative financial pathways and products. However, these financial technologies also pose money laundering and terrorist and proliferation financing as well as cyber security risks that require mitigation. This edited volume addresses a range of regulatory and enforcement challenges related to financial technology and financial crime. The book responds to the United Nations' Sustainable Development Goals, in particular in relation to economic development, employment, national security, law enforcement and social well-being. Fostering responsible financial innovation promotes long-term economic growth, inclusion, and improved living standards. This book explores how to promote financial innovation while mitigating risks in a way that ensures financial prosperity and social inclusion.

This contributed volume provides academic insights into the digital financial world. It illustrates the state-of-the-art research on financial technology and innovation with special focus on the impact in society. Technologies are not only door openers for the digital world, but they are also key drivers of change. These key drivers of digitalization, accelerating the pace, are literally forcing individuals to adapt. The authors discuss these dynamics and reflect on society's adaptability. The first part of the book focuses on cryptocurrencies as disruptive technology. It discusses the status quo, future trends and legal frameworks for virtual money. The second part of the book sheds light on value creation in a digitalized world. The authors discuss digital platforms and economic networks and the impact of digital dominance.