This book examines sustainable wealth formation and dynamic decision-making. The global economy experienced a veritable meltdown of asset markets in the years 2007-9, where many funds were overexposed to risky returns and suffered considerable losses. On the other hand, the long-term upswing in the stock market since 2010 has led to asset price booms and some new, but also uneven, wealth formation. In this book a broader set of constraints and guidelines for asset management and wealth accumulation is developed. The authors investigate how wealth formation and the proper management of financial funds can help to adequately buffer income risk and obtain sufficient risk-free income at a later stage of life, while also being socially and environmentally sustainable. The book explores behavioral and institutional rules for decision-making that reflect such constraints and guidelines, without necessarily being optimal in the narrow sense. The authors explain the need for such a dynamic decision-making and dynamic re-balancing of portfolios, by putting forward dynamic programming as an approach to dynamic decision-making that can allow sustainable wealth accumulation and dynamic asset allocation to be successfully integrated. This book provides a clear and comprehensive treatment of asset accumulation and dynamic portfolio models with an emphasis on long term and sustainable wealth formation. An important concern in public debate is the sustainability of our economy and this book employs cutting edge quantitative techniques and models to highlight important facts that cannot be disputed under any reasonable assumptions. It has the potential to become a standard reference for both academic researchers and quantitatively trained practitioners. Eckhard Platen, Professor of Quantitative Finance, University of Technology Sydney, Australia This book should be read by both academics and practitioners alike. The former will find intellectually rigorous discussions and innovative solutions. The latter may find a few of the concepts a bit challenging. Yet, theory and technology are there to help simplify the work of those who worry about what time it is rather than how to make a watch--- but they do need a watch. Jean Brunel, Founder of Brunel Associates and Editor of The Journal of Wealth Management

This book describes the inferential and modeling advantages that this distribution, together with its generalizations and modifications, offers. The exposition systematically unfolds with many examples, tables, illustrations, and exercises. A comprehensive index and extensive bibliography also make this book an ideal text for a senior undergraduate and graduate seminar on statistical distributions, or for a short half-term academic course in statistics, applied probability, and finance.

The goal of the volume is to provide some background on the various financial market segments of the Asian Pacific region. An understanding of institutional detail (size and scope) of the relevant markets affords a view that lends or detracts from the credibility of intermarket comparisons. An exposure and understanding of institutional detail supplies information that may bear on the statistical results of the empirical analysis. The vital roles played bycapital markets of pricing capital, issuing new shares, providing a liquidity-creating secondary feature, serving as a vehicle for asset transfer, and providing a linkage to international capital markets are as important to emerging markets as to developed countries.

This third volume in the series covers such topics as advances in working capital management.

In many areas of finance and stochastics, significant advances have been made since this field of research was opened by Black, Scholes and Merton in 1973. Advances in Finance and Stochastics contains a collection of original articles by a number of highly distinguished authors on research topics that are currently in the focus of interest of both academics and practitioners. The topics span risk management, portfolio theory and multi-asset derivatives, market imperfections, interest-rate modelling and exotic options.

Forecasting-the art and science of predicting future outcomes-has become a crucial skill in business and economic analysis. This volume introduces the reader to the tools, methods, and techniques of forecasting, specifically as they apply to financial and investing decisions. With an emphasis on "earnings per share" (eps), the author presents a data-oriented text on financial forecasting, understanding financial data, assessing firm financial strategies (such as share buybacks and R&D spending), creating efficient portfolios, and hedging stock portfolios with financial futures. The opening chapters explain how to understand economic fluctuations and how the stock market leads the general economic trend; introduce the concept of portfolio construction and how movements in the economy influence stock price movements; and introduce the reader to the forecasting process, including exponential smoothing and time series model estimations. Subsequent chapters examine the composite index of leading economic indicators (LEI); review financial statement analysis and mean-variance efficient portfolios; and assess the effectiveness of analysts' earnings forecasts. Using data from such firms as Intel, General Electric, and Hitachi, Guerard demonstrates how forecasting tools can be applied to understand the business cycle, evaluate market risk, and demonstrate the impact of global stock selection modeling and portfolio construction.

In 1993, Congress created a student loan repayment plan intended to enable high-debt graduates to accept low-income, public service jobs by reducing their loan payments and eventually forgiving part of their debts. But this Congressional initiative only helps those with catastrophically low incomes. It has failed to attract many users because, as implemented through regulations of the U.S. Department of Education, it requires payment over too long a period (25 years before forgiveness). Many students go to graduate and professional schools in pursuit of careers in public service. But they often must borrow $100,000 or more to finance their education. Their loan repayment obligations become so high that they can no longer afford to follow their ideals, and they abandon their plans to have public service careers and seek employment with corporations or firms offering high salaries. The income-contingent repayment plan should have appealed to would-be public interest lawyers, who are among the graduates with the highest debt-to-income ratios; but the plan has failed them, and Schrag explores why and how the plan should be reformed, either by Congress or by the federal administration.

Features Self-contained book suitable for graduate students and post-doctoral fellows in financial mathematics and data science, as well as for practitioners working in the financial industry who deal with big data All results are presented visually to aid in understanding of concepts.

Detect fraud faster--no matter how well hidden--with IDEA automation

"Fraud and Fraud Detection" takes an advanced approach to fraud management, providing step-by-step guidance on automating detection and forensics using CaseWare's IDEA software. The book begins by reviewing the major types of fraud, then details the specific computerized tests that can detect them. Readers will learn to use complex data analysis techniques, including automation scripts, allowing easier and more sensitive detection of anomalies that require further review. The companion website provides access to a demo version of IDEA, along with sample scripts that allow readers to immediately test the procedures from the book.

Business systems' electronic databases have grown tremendously with the rise of big data, and will continue to increase at significant rates. Fraudulent transactions are easily hidden in these enormous datasets, but "Fraud and Fraud Detection" helps readers gain the data analytics skills that can bring these anomalies to light. Step-by-step instruction and practical advice provide the specific abilities that will enhance the audit and investigation process. Readers will learn to: Understand the different areas of fraud and their specific detection methodsIdentify anomalies and risk areas using computerized techniquesDevelop a step-by-step plan for detecting fraud through data analyticsUtilize IDEA software to automate detection and identification procedures

The delineation of detection techniques for each type of fraud makes this book a must-have for students and new fraud prevention professionals, and the step-by-step guidance to automation and complex analytics will prove useful for even experienced examiners. With datasets growing exponentially, increasing both the speed and sensitivity of detection helps fraud professionals stay ahead of the game. "Fraud and Fraud Detection" is a guide to more efficient, more effective fraud identification.

This volume, in the series "Advances in Financial Economics," discusses such topics as the global variation in financial ratios, trading costs of target firms around corporate takeovers, and economic activity measures in nonlinear asset pricing.

This collection of conference papers presents a contemporary insight into key trends impacting on the global financial sector post crisis and highlights new policy and research areas affecting banks and other financial institutions. The four main themes are: financial crises, credit activity, capital markets and risk management.

The continuing U.S. Government's debt ceiling crisis is an anomaly characterized by a dysfunctional Congress that previously approved the budgetary expenditures for a multitude of government programs that now requires that same body to approve raising the ceiling to pay for those same program expenditures. The U.S. Treasury then dutifully raises the necessary cash to pay these bills and maturing debt through selling (auctioning) an ample supply of various marketable debt securities (bills, notes, bonds and TIPS) through Treasury's "Fast Money Tree." Treasury's goal is to sell or auction its securities at the lowest possible cost to the taxpayer in order to finance the U.S. government's operations and make up the difference between government revenues (taxes, fees, etc.), and the actual program costs. To accomplish this essential mission, Treasury sells (through approximately 280-300 auctions each year) approximately $7 to $8 trillion in marketable debt in the global financial markets to 21 Primary Dealers and over 200 other entities that include foreign central banks and hundreds of thousands of retail investors through a remarkably fast, efficient, and robust electronic system - the Treasury Automated Auction System ("TAAPS"), which I refer to as the "Fast Money Tree." Simply put, Republicans want to decrease government borrowing and spending without raising taxes to stimulate economic growth, and Democrats want to also decrease government borrowing and spending, while increasing revenues (e.g., taxes on the very wealthy and ensuring that everyone pay their fair share of taxes. This book also argues for a sensible balance between spending cuts and increased revenues in order to promote economic growth. In any case, the "Fast Money Tree" must persist in carrying out its essential mission to raise the cash needed so the U.S. Government's essential government operations can continue unabated.

Since 1990, major banking and current crises have occurred in many countries throughout the world - including Mexico and Latin America in 1994-95, East Asia in 1997-98, and Russia and Brazil in 1998 - with large costs both to the individual countries experiencing the crises and to other nations. As a result, considerable effort has been expended by economists and policymakers to identify the causes of these crises and to design programs with the aim both of preventing similar crises from occurring in the future, and of minimizing the costs when these do occur. These studies have cut across national boundaries, being undertaken by individual researchers and organizations in particular countries, as well as by international institutions. This book collects the papers and discussants' comments presented at a conference co-sponsored by the Federal Reserve Bank of Chicago and the Bank for International Settlements in Basel, Switzerland, and held in Chicago, in early October 1999. The purpose of the conference was to identify and discuss the lessons to be learned from these crises. Topics discussed included reviews of the crises in the individual countries and regions; analyses of the policy responses, both by the affected countries and by official international institutions; what has been learned from these crises; deposit insurance reform; the design of bank capital regulation; the role of bank supervision and regulation; and the future of official international financial institutions, such as the International Monetary Fund and the World Bank. The conference participants included a broad range of academic, industry, and regulatory experts from more than twenty-five countries. Because of the timeliness of the conference and the wide-ranging expertise of the participants, the papers in this book should be of significant interest both to students of financial crises and to domestic and international policymakers.

A non-technical introduction to the question of modeling with time-varying parameters, using the beta coefficient from Financial Economics as the main example. After a brief introduction to this coefficient for those not versed in finance, the book presents a number of rather well known tests for constant coefficients and then performs these tests on data from the Stockholm Exchange. The Kalman filter is then introduced and a simple example is used to demonstrate the power of the filter. The filter is then used to estimate the market model with time-varying betas. The book concludes with further examples of how the Kalman filter may be used in estimation models used in analyzing other aspects of finance. Since both the programs and the data used in the book are available for downloading, the book is especially valuable for students and other researchers interested in learning the art of modeling with time varying coefficients.

During the past few years all the regions of Europe have suffered from the effects of the World Financial Crisis. Most notably in Eastern Europe, countries have adopted different approaches to combat the crisis and the impact has been varying -- politically, economically and socially. This book gives an overview of chosen countries and their situation before and during the crisis, providing a detailed view of the different regions during this difficult period. It also looks at their current status and the individual ways in which they have attempted to stimulate recovery.

Self-organizing maps (SOM) have proven to be of significant economic value in the areas of finance, economic and marketing applications. As a result, this area is rapidly becoming a non-academic technology. This book looks at near state-of-the-art SOM applications in the above areas, and is a multi-authored volume, edited by Guido Deboeck, a leading exponent in the use of computational methods in financial and economic forecasting, and by the originator of SOM, Teuvo Kohonen. The book contains chapters on applications of unsupervised neural networks using Kohonen's self-organizing map approach.

The mix of debt and equity called capital structure, representing major claims against a corporation's assets, has been the subject of a long debate focusing on its determination, evaluation, and accounting. Riahi-Belkaoui uses both theoretical and contingency approaches to examine the question of whether capital structure really can be determined. Using a bond rating model he looks at the evaluation of capital structure and the resolution of issues pertaining to equity and liabilities and their contribution to the quality of capital structure reports. The book will be of special value to corporate financial officers and to graduate students and their teachers in accounting and finance.

Riahi-Belkaoui presents, first, the popular theories underlying the potential optimality of capital structure, the most popular of which is based on agency costs, asymmetric information, product/input market interactions and corporate control considerations. He then examines the same problem, first under a contingency of diversification and then a contingency of multinationality and investment opportunity. Since the evolution of capital structure rests on the ratings of a corporation's bonds, Riahi-Belkaoui offers a model that can be used for the prediction of industrial bond ratings. He concludes with an examination for equity and accounting for long-term liabilities.

This is the seventh volume in a series which examines advances in the quantitative analysis of finance and accounting.

This title covers topics that are found in levels one and two of an undergraduate level module where students are studying a programme in the area of economics, finance, accountancy or more broadly management.

* essential addition to the microfinance armoury* photocopiable training manual containing step-by-step descriptions for 22 sessions* extensively tested around the world* free material available on the web"Modern" or "new paradigm" microfinancial services are reaching perhaps as many as twenty million people worldwide. These services are being provided by existing banks which have added microfinance to their product portfolio, by specialized microfinance institutions (MFIs) and by non-governmental organization (NGOs) which offer microfinance along with other services. This training manual is designed to meet the needs of those who train staff for banks, MFIs and NGOs. It will enable them to provide effective training for those who work, or may in the future work, in the field of microfinance. "Practical Microfinance" provides detailed step-by-step descriptions for twenty-two sessions which together offer a complete 5--10 day course on microfinance. The sessions may also be used individually, selected from to make up tailor-made courses, or integrated with other materials. The sessions cover a wide range of topics including: introduction to financial accounts; undertaking field visits; analysis of MFIs; group and individual lending; micro-insurance and micro-savings; and measuring the impact of microfinance.The sessions have been extensively tested in courses at the Cranfield School of Management in the UK, and in a number of different institutions in India, Bangladesh, Pakistan, Kenya, Uganda and elsewhere.The session exercise and case study handouts may be photocopied for participants or customized to meet trainees' needs via freely available web files. An introductory chapter includesadvice on how to use the material in the book and a list of recommended resources and full index are provided for ease of reference. It is hoped that this manual will help improve the content and delivery of microfinance training and thus contribute to the greater availability of affordable, accessible and profitable financial services to the poor.