This book brings together a set of analytical and empirical essays aimed at understanding inclusive finance in emerging markets focusing on Asia. Despite the significant policy interest in the issue of financial inclusion in the Asian market, there is a dearth of academic literature on the topic. This book fills this gap by being the first of its kind to address the relevant issues and policy concerns relating to the availability and affordability of financial services in this rapidly emerging geopolitical area. The book features a mixture of empirical and case study oriented essays, informed by data, literature and policy analysis that will be useful for both the academics and the policy makers in the region interested in the subject. Countries highlighted in the essays assessing financial inclusivity include Indonesia, Sri Lanka and India.

The central theme of this study, first published in 1998, is that parametric change has expanded the autonomy of non-state actors, and has reduced the capability of governments to extract involuntary resources from their constituents. This change has profound consequences for world politics. This title will be of interest to students of Finance and Economics.

This book discusses the interplay of stochastics (applied probability theory) and numerical analysis in the field of quantitative finance. The stochastic models, numerical valuation techniques, computational aspects, financial products, and risk management applications presented will enable readers to progress in the challenging field of computational finance.When the behavior of financial market participants changes, the corresponding stochastic mathematical models describing the prices may also change. Financial regulation may play a role in such changes too. The book thus presents several models for stock prices, interest rates as well as foreign-exchange rates, with increasing complexity across the chapters. As is said in the industry, 'do not fall in love with your favorite model.' The book covers equity models before moving to short-rate and other interest rate models. We cast these models for interest rate into the Heath-Jarrow-Morton framework, show relations between the different models, and explain a few interest rate products and their pricing.The chapters are accompanied by exercises. Students can access solutions to selected exercises, while complete solutions are made available to instructors. The MATLAB and Python computer codes used for most tables and figures in the book are made available for both print and e-book users. This book will be useful for people working in the financial industry, for those aiming to work there one day, and for anyone interested in quantitative finance. The topics that are discussed are relevant for MSc and PhD students, academic researchers, and for quants in the financial industry.Supplementary Material:Solutions Manual is available to instructors who adopt this textbook for their courses. Please contact [email protected].

Whether you're a full-time trader looking to make a living or a part-time trader looking to make some extra money, the foreign exchange (forex) market has what you desire--the potential to make sizeable profits and 24/7 accessibility.

But to make it in today's forex market, you need more than a firm understanding of the tools and techniques of this discipline. You need the guidance of someone who has participated, and prevailed, in this type of fast-paced environment.

Raghee Horner has successfully traded in the forex market for over a decade, and now, in Thirty Days of Forex Trading, she shares her experiences in this field by chronicling one full month of trading real money. First, Horner introduces you to the tools of the forex trade, and then she moves on to show you exactly what she does, day after day, to find potentially profitable opportunities in the forex market.

Part instructional guide, part trading journal, Thirty Days of Forex Trading will show you--through Horner's firsthand examples--how to enter the forex market with confidence and exit with profits.

During the last decade, financial models based on jump processes have acquired increasing popularity in risk management and option pricing applications. Much has been published on the subject, but the technical nature of most papers makes them difficult for nonspecialists to understand, and the mathematical tools required for applications can be intimidating. Potential end users often get the impression that jump and Lévy processes are beyond their reach.

Financial Modelling with Jump Processes demonstrates that this is not so. It provides a self-contained overview of the theoretical, numerical, and empirical aspects of using jump processes in financial modeling, and does so in terms well within the grasp of nonspecialists. With clear-sighted explanations, the authors motivate the use of the various mathematical tools used in the modelling process, and while giving an intuitive understanding of proofs, provide precise mathematical statements of the results. They illustrate the mathematical concepts with many numerical and empirical examples and provide the details of numerical implementation of pricing and calibration algorithms.

This book clearly shows that the concepts and tools necessary for understanding and implementing these models can be much more accessible and intuitive that those involved in the Black Scholes and diffusion models. If you have even a basic familiarity with quantitative methods in finance, Financial Modelling with Jump Processes will give you a valuable new set of tools for modelling market fluctuations.

The fully revised and updated version of the leading textbook on real estate investment, emphasising real estate cycles and the availability and flow of global capital Real Estate Investment remains the most influential textbook on the subject, used in top-tier colleges and universities worldwide. Its unique, practical perspective on international real estate investment focusses on real-world techniques which measure, benchmark, forecast and manage property investments as an asset class. The text examines global property markets and real estate cycles, outlines market fundamentals and explains asset pricing and portfolio theory in the context of real estate. In the years since the text's first publication, conditions in global real estate markets have changed considerably following the financial crisis of 2008-2009. Real estate asset prices have increased past pre-crisis levels, signalling a general market recovery. Previously scarce debt and equity capital is now abundant, while many institutions once averse to acquiring property are re-entering the markets. The latest edition - extensively revised and updated to address current market trends and practices as well as reflect feedback from instructors and students - features new content on real estate development, improved practical examples, expanded case studies and more. This seminal textbook: Emphasises practical solutions to real investing problems rather than complex theory Offers substantial new and revised content throughout the text Covers topics such as valuation, leasing, mortgages, real estate funds, underwriting and private and public equity real estate Features up-to-date sections on performance measurement, real estate debt markets and building and managing real estate portfolios Includes access to a re-designed companion website containing numerous problems and solutions, presentation slides and additional instructor and student resources Written by internationally-recognised experts in capital management and institutional property investing strategies, Real Estate Investment, Second Edition: Strategies, Structures, Decisions is an indispensable textbook for instructors and students of real estate fund management, investment management and investment banking, as well as a valuable reference text for analysts, researchers, investment managers, investment bankers and asset managers.

Also known as the Libor market model, the Brace-Gatarek-Musiela (BGM) model is becoming an industry standard for pricing interest rate derivatives. Written by one of its developers, Engineering BGM builds progressively from simple to more sophisticated versions of the BGM model, offering a range of methods that can be programmed into production code to suit readers' requirements. After introducing the standard lognormal flat BGM model, the book focuses on the shifted/displaced diffusion version. Using this version, the author develops basic ideas about construction, change of measure, correlation, calibration, simulation, timeslicing, pricing, delta hedging, barriers, callable exotics (Bermudans), and vega hedging. Subsequent chapters address cross-economy BGM, the adaptation of the BGM model to inflation, a simple tractable stochastic volatility version of BGM, and Brazilian options suitable for BGM analysis. An appendix provides notation and an extensive array of formulae. The straightforward presentation of various BGM models in this handy book will help promote a robust, safe, and stable environment for calibrating, simulating, pricing, and hedging interest rate instruments.

Guide to Optimal Operational Risk and Basel II presents the key aspects of operational risk management that are also aligned with the Basel II requirements. This volume provides detailed guidance for the design and implementation of an efficient operational risk management system. It contains all elements of assessment, including operational risk identification, measurement, modeling, and monitoring analysis, along with evaluation analysis and the estimation of capital requirements. The authors also address the managing and controlling of operational risks including operational risk profiling, risk optimization, cost & optimal resource allocation, decision-making, and design of optimal risk policies. Divided into four parts, this book begins by introducing the idea of operational risks and how they affect financial organizations. This section also focuses on the main aspects of managing operational risks. The second part focuses on the requirements of an operational risk management framework according to the Basel II Accord. The third part focuses on all stages of operational risk assessment, and the fourth part focuses on the control and management stages. All of these stages combine to implement efficient and optimal operational risk management systems.

First published in 1995. In the current, increasingly global economy, investors require quick access to a wide range of financial and investment-related statistics to assist them in better understanding the macroeconomic environment in which their investments will operate. The International Financial Statistics Locator eliminates the need to search though a number of sources to identify those that contain much of this statistical information. It is intended for use by librarians, students, individual investors, and the business community and provides access to twenty-two resources, print and electronic, that contain current and historical financial and economic statistics investors need to appreciate and profit from evolving and established international markets.

Islamic Capital Markets: A Comparative Approach (2nd Edition) looks at the similarities and differences between Islamic capital markets and conventional capital markets. The book explains each topic from both the conventional and the Islamic perspective, offering a full understanding of Islamic capital markets, processes, and instruments. In addition to a full explanation of Islamic products, the book also ensures a holistic understanding of the dual markets within which Islamic capital markets operate.Ideal for both students and current practitioners, the second edition of the highly successful Islamic Capital Markets: A Comparative Approach fills a large gap in the current literature on the subject, featuring case studies from Malaysia, Indonesia, Europe, and the Middle East. One of the few comprehensive, dedicated guides to the subject available, the book offers comprehensive and in-depth insights on the topic of Islamic finance for students and professionals alike.

This handbook provides the first comprehensive overview of the fast-evolving alternative finance space and makes a timely and in-depth contribution to the literature in this area. Bringing together expert contributions in the field from both practitioners and academics, in one of the most dynamic parts of the financial sector, it provides a solid reference for this exciting discipline. Divided into six parts, Section 1 presents a high-level overview of the technologically-enabled finance space. It also offers a historical perspective on technological finance models and outlines different business models. Section 2 analyses digital currencies including guides to bitcoins, other cryptocurrencies, and blockchains. Section 3 addresses alternative payment systems such as digital money and asset tokenization. Section 4 deals with crowdfunding models from both a theoretical perspective and from a regulatory perspective. Section 5 discusses data-driven business models and includes a discussion of neural networks and deep learning. Finally, Section 6 discusses welfare implications of the technological finance revolution. This collection highlights the most current developments to date and the state-of-the-art in alternative finance, while also indicating areas of further potential. Acting as a roadmap for future research in this innovative and promising area of finance, this handbook is a solid reference work for academics and students whilst also appealing to industry practitioners, businesses and policy-makers.

The study of heavy-tailed distributions allows researchers to represent phenomena that occasionally exhibit very large deviations from the mean. The dynamics underlying these phenomena is an interesting theoretical subject, but the study of their statistical properties is in itself a very useful endeavor from the point of view of managing assets and controlling risk. In this book, the authors are primarily concerned with the statistical properties of heavy-tailed distributions and with the processes that exhibit jumps. A detailed overview with a Matlab implementation of heavy-tailed models applied in asset management and risk managements is presented. The book is not intended as a theoretical treatise on probability or statistics, but as a tool to understand the main concepts regarding heavy-tailed random variables and processes as applied to real-world applications in finance. Accordingly, the authors review approaches and methodologies whose realization will be useful for developing new methods for forecasting of financial variables where extreme events are not treated as anomalies, but as intrinsic parts of the economic process.

This introductory text is devoted to exposing the underlying nature of price formation in financial markets as a predominantly sociological phenomenon that relates individual decision-making to emergent and co-evolving social and financial structures.

Two different levels of this sociological influence are considered: First, we examine how price formation results from the social dynamics of interacting individuals, where interaction occurs either through the price or by direct communication. Then the same processes are revisited and examined at the level of larger groups of individuals.

In this book, models of both levels of socio-finance are presented, and it is shown, in particular, how complexity theory provides the conceptual and methodological tools needed to understand and describe such phenomena. Accordingly, readers are first given a broad introduction to the standard economic theory of rational financial markets and will come to understand its shortcomings with the help of concrete examples. Complexity theory is then introduced in order to properly account for behavioral decision-making and match the observed market dynamics.

This book is conceived as a primer for newcomers to the field, as well as for practitioners seeking new insights into the field of complexity science applied to socio-economic systems in general, and financial markets and price formation in particular.

Finance is the root of the economic systems. Positive or negative developments in the financial sector directly affect the economy of the countries. One of the fundamental components of the financial sector is the banking sector. Financial markets, which are one of the basic elements of national economies and the banking sector, form the basis of all world economies directly or indirectly. For this purpose, current affairs in both financial markets and banking sector are analysed by academicians and practitioners in different point of views.

'An Outline of Financial Economics' presents a systematic treatment of the theory and methodology of finance and economics. The book follows an analytical and geometric methodology, explaining technical terms and mathematical operations in clear, nontechnical language, and providing intuitive explanations of the mathematical results. The text begins with a discussion of financial instruments, which form the basis of finance theory, and goes on to analyze bonds - which are regarded as fixed income securities - in a simple framework and to discuss the valuation of stocks and cash flows in detail. Highly relevant topics such as attitudes toward risk, uncertainty, financial structure of a firm, stochastic dominance, portfolio management, option pricing and conditions for non-arbitrage are analyzed explicitly. Because of its wide coverage and analytical, articulate and authoritative presentation, 'An Outline of Financial Economics' will be an indispensable book for finance researchers and undergraduate and graduate students in fields such as economics, finance, econometrics, statistics and mathematics.

This book focuses on the impact of the disclosure of non-financial risk, which could be seen as the most relevant non-financial information (NFI), in the aftermath of the 2014/95/EU Directive. The author analyses whether the switch from voluntary to mandatory NFI enhance the quality of disclosed NF risk-related information and the usefulness of the risk disclosure for investors. The book focuses specifically on the mandatory disclosure of non-financial (NF) risks as required by the EU Directive for listed Italian companies, investigating both the state of art of its disclosure and its usefulness for investors. In doing so, the book contributes to fill two relevant gaps in risk literature. The first research gap is related to the insufficient investigation of the disclosure of NF risks. Companies mandated to disclose risk-related information focused mainly on financial risks, in spite of the width of the definition of risk, conceived as information about any opportunity, danger, threat, or exposure that has or could impact the company in the future. The second gap is that empirical evidence about the effects of corporate risk disclosures is still limited, and the potential benefits of the disclosure of information on risks have not been fully explored. In particular, the relationship between risk disclosures and firm value is under researched, as the risk literature mainly focuses on the incentives question, related to the motives for which companies decide to disclose. The research in this book focuses on Italy, a country that provides a unique opportunity to examine the impact of mandatory NF risk disclosure on firm market value, being one of the biggest industrial European countries that had not mandatory legislation for NFI disclosure, and also one of the leading countries in voluntary corporate social responsibility (CSR) reporting at an international level. It has been carried out in the fiscal year 2017, the first year of the application of the mandatory NF disclosure for obliged Italian listed PIEs. The book contributes both to the measurement literature, as it presents a self-constructed quality NF risks and to the value relevance analysis literature, providing evidence of the usefulness of financial and non-financial risk-related disclosures in the Italian context.

This book provides an in-depth overview of the most salient aspects of development finance. It critically reviews the current state of relevant literature on this topic and assesses both the challenges and the opportunities presented by the various forms of finance for development. Chapters from expert contributors examine a range of topics from the link between finance and growth and finance and misallocation, the relationship between financial illiteracy and lack of legal titles on access to finance, to the role of governments in the financial system and the role of overseas development assistance, remittances, microfinance, foreign direct investment (FDI) and stock exchanges on development. This book offers a good point of reference for postgraduate and PhD students and will appeal to researchers in this field.

Post-reform India has seen a decline in agricultural growth as well as supply demand imbalance and rising prices. This book presents a comprehensive analysis of domestic and international prices and trade since 1980 81, covering the past quarter of a century. Backed with rich data, it provides comparisons between the pre- and post-liberalisation po

This book discusses women-oriented microfinance initiatives in India and their articulation vis-is state developmentalism and contemporary neo-liberal capitalism. It examines how these initiatives encourage economically disadvantaged rural women to make claims upon state-provided microcredit and connect with multiple state institutions and agencie

This book presents the comparative evaluation of international and industrial factors affecting the financial condition of enterprises. In the theoretical part, the results of previous research on the occurrence of the country and industry effect in the financial health of companies are reviewed. The aim of the empirical study is to determine such factors - national or industrial ones - that have a greater impact on the corporate performance in the selected European Union countries. Corporate performance is measured and described with the use of a large set of fundamental ratios. Corporate performance is therefore treated as a more complex matter influenced by such aspects as profitability, liquidity, working capital and solvency. The book especially analyses the importance of non-public companies of all sizes, which is also rare as current research focuses mainly on public companies due to the data constraints.

Since the groundbreaking research of Harry Markowitz into the application of operations research to the optimization of investment portfolios, finance has been one of the most important areas of application of operations research. The use of hidden Markov models (HMMs) has become one of the hottest areas of research for such applications to finance. This handbook offers systemic applications of different methodologies that have been used for decision making solutions to the financial problems of global markets. As the follow-up to the authors' Hidden Markov Models in Finance (2007), this offers the latest research developments and applications of HMMs to finance and other related fields. Amongst the fields of quantitative finance and actuarial science that will be covered are: interest rate theory, fixed-income instruments, currency market, annuity and insurance policies with option-embedded features, investment strategies, commodity markets, energy, high-frequency trading, credit risk, numerical algorithms, financial econometrics and operational risk. Hidden Markov Models in Finance: Further Developments and Applications, Volume II presents recent applications and case studies in finance and showcases the formulation of emerging potential applications of new research over the book's 11 chapters. This will benefit not only researchers in financial modeling, but also others in fields such as engineering, the physical sciences and social sciences. Ultimately the handbook should prove to be a valuable resource to dynamic researchers interested in taking full advantage of the power and versatility of HMMs in accurately and efficiently capturing many of the processes in the financial market.

The concept of risk-sharing in financial and social contracts is one of the unique features of Islamic finance. Many theoretical studies generally claim superiority of an Islamic financial system based on pure equity and participatory modes of financing, while empirical studies provide mixed results. Studies and discussions are needed to fully understand how Islamic finance could contribute to the ongoing discussion of financial stability. Against this background, this book addresses various aspects of Islamic finance and the risk-sharing mechanism contributions to the overall macroeconomic and financial stability. Undoubtedly, the findings and recommendation from this book should be of great interest not only to future academic researchers in the field of macroeconomic stability and Islamic finance, but also to policy makers and regulators who are keen on drawing lessons from Islamic finance experiences to prevent similar crisis in the future.

Exchanges play an essential and central role in the world's economy. They epitomize transparency in the price-formation process, informing investors and disseminating vital information for the functioning of financial markets, and in so doing they represent an important source of capital for nascent and established companies alike. Even during the recent crisis, exchanges remained open and liquid in the face of extreme volatility-thus the trust investors place in regulated exchanges when confronted with uncertainty is beyond doubt.
Since the inception of the World Federation of Exchanges in the 1960s, the operational and competitive landscape for organized exchanges has changed radically. Technology and globalization have allowed financial flows to move freely across borders, and burgeoning competition and lower regulatory barriers have spurred far-reaching transformations in the way securities are traded.
Against this background, and on the occasion of the 50th anniversary of the World Federation of Exchanges, the WFE has partnered with Larry Harris and the Centre for European Policy Studies to produce a definitive volume of essays to take a look at the historic role exchanges have played in the global economy, highlighting pivotal innovations that shaped this role, and to lay out prospective ways in which exchanges will continue to shape the global economy in the future. Opening with key conceptual essays by leading academics, Regulated Exchanges examines the historical contribution of exchanges to the world's economic growth, exchanges' economic importance, and the regulatory characteristics of the space in which exchanges operate. The volume then presents essays on several defining milestones in the history of exchanges written by leading figures that took part in that very history, showing the interaction between the founding of exchanges, local cultures, and world financial markets. The book appropriately closes with a look forward, examining the competitive landscape and the exciting and promising future of regulated exchanges.
Offering an unparalleled collection of perspectives from leading academics and practitioners involved in the history of exchanges, Regulated Exchanges sheds a brilliant and welcome light on how exchanges have influenced and fostered successful financial markets, and how they will do so for many years to come.

Liquid markets generate hundreds or thousands of ticks (the minimum change in price a security can have, either up or down) every business day. Data vendors such as Reuters transmit more than 275,000 prices per day for foreign exchange spot rates alone. Thus, high-frequency data can be a fundamental object of study, as traders make decisions by observing high-frequency or tick-by-tick data. Yet most studies published in financial literature deal with low frequency, regularly spaced data. For a variety of reasons, high-frequency data are becoming a way for understanding market microstructure. This book discusses the best mathematical models and tools for dealing with such vast amounts of data.
This book provides a framework for the analysis, modeling, and inference of high frequency financial time series. With particular emphasis on foreign exchange markets, as well as currency, interest rate, and bond futures markets, this unified view of high frequency time series methods investigates the price formation process and concludes by reviewing techniques for constructing systematic trading models for financial assets.

A groundbreaking look at complexity theory and its implications in the world of finance
Complexity theory tells us that processes with a large number of seemingly independent agents-such as free markets-can spontaneously organize themselves into a coherent system. In this fascinating book, Edgar Peters brings together scientific theory, the artistic process, and economics to show how the randomness and uncertainty of complexity theory can be applied to financial markets. Written in an engaging and accessible style, this is a thoughtful, conceptual look at the way free markets are, by their nature, continually evolving complex systems. Expanding on previous explorations of chaos theory, Peters draws on real-life examples ranging from the Asian crisis to America's love of conspiracy to show that complexity and randomness are necessary for the free markets to operate in a competitive manner.