The financial difficulties experienced by Greece since 2009 serve as a reminder that countries (i.e., sovereigns) may default on their debt. Many observers considered the financial turmoil was behind us because major advanced countries had adopted stimulus packages to prevent banks from going bankrupt. However, there are rising doubts about the creditworthiness of several advanced countries that participated in the bailouts. In this uncertain context, it is particularly crucial to be knowledgeable about sovereign ratings. This book provides the necessary broad overview, which will be of interest to both economists and investors alike. Chapter 1 presents the main issues that are addressed in this book. Chapters 2, 3, and 4 provide the key notions to understand sovereign ratings. Chapter 2 presents an overview of sovereign rating activity since the first such ratings were assigned in 1918. Chapter 3 analyzes the meaning of sovereign ratings and the significance of rating scales; it also describes the refinement of credit rating policies and tools. Chapter 4 focuses on the sovereign rating process. Chapters 5 and 6 open the black box of sovereign ratings. Chapter 5 compares sovereign rating methodologies in the interwar years with those in the modern era. After examining how rating agencies have amended their methodologies since the 1990s, Chapter 6 scrutinizes rating disagreements between credit rating agencies (CRAs). Chapters 7 and 8 measure the performances of sovereign ratings by computing default rates and accuracy ratios: Chapter 7 looks at the interwar years and Chapter 8 at the modern era. The two chapters assess which CRA assigns the most accurate ratings during the respective periods. Chapters 9 and 10 compare the perception of sovereign risk by the CRAs and market participants. Chapter 9 focuses on the relation between JP Morgan Emerging Markets Bond Index Global spreads and emerging countries' sovereign ratings for the period 1993-2007. Chapter 10 compares the eurozone members' sovereign ratings with Credit Default Swap-Implied Ratings (CDS-IRs) during the Greek debt crisis of November 2009-May 2010.

This book is a major work that focuses exclusively on ship finance and includes contributions on the increasingly complex field of ship finance, which has over the last two decades become a key aspect in the world of shipping and ship owning. The book offers an enlightening mix of theoretical analysis and well-founded practical insights into the daily markets. Given that ship finance continues to develop dynamically around the world, the book covers subjects ranging from the German KG market to Islamic Finance, from loans to legal aspects and from asset pricing to risk management.

Practical Financial Optimization is a comprehensive guide to optimization techniques in financial decision making. This book illuminates the relationship between theory and practice, providing the readers with solid foundational knowledge. * Focuses on classical static mean-variance analysis and portfolio immunization, scenario-based models, multi-period dynamic portfolio optimization, and the relationships between classes of models * Analyizes real world applications and implications for financial engineers * Includes a list of models and a section on notations that includes a glossary of symbols and abbreviations

Fixed and Marginal Costs in Electricity Markets lays out clear cost methodologies for understanding marginal price structures, further cementing electricity's role as an asset class with fixed and variable costs.

The purpose of this book is to establish a connection between the traditional field of empirical economic research and the emerging area of empirical financial research and to build a bridge between theoretical developments in these areas and their application in practice. Accordingly, it covers broad topics in the theory and application of both empirical economic and financial research, including analysis of time series and the business cycle; different forecasting methods; new models for volatility, correlation and of high-frequency financial data and new approaches to panel regression, as well as a number of case studies. Most of the contributions reflect the state-of-art on the respective subject. The book offers a valuable reference work for researchers, university instructors, practitioners, government officials and graduate and post-graduate students, as well as an important resource for advanced seminars in empirical economic and financial research.

Economics went through great development in the 20th century. This development, which was based mainly on mathematical methods, is not an appropriate method of analyzing markets that change every hour and every day. In a stock market, prices constantly change depending on speculation. U-Mart, a manmade market, has been proposed in order to study such instantly moving markets. Although the U-Mart system is internationally acclaimed for being at the forefront of market research, its use is by no means limited to a small number of researchers on the fringe. The whole system, including its source code, is open and is distributed without charge, testifying to a philosophy of creating and providing a common test bed for research into financial markets.

This book deals at some length with the question: Since there are many more poor than rich, why don't the poor just tax the rich heavily and reduce the inequality? In the 19th century and the first half of the 20th century, the topic of inequality was discussed widely. Ending or reducing inequality was a prime motivating factor in the emergence of communism and socialism. The book discusses why later in the 20th century, inequality has faded out as an issue. Extensive tables and graphs of data are presented showing the extent of inequality in America, as well as globally. It is shown that a combination of low taxes on capital gains contributed to a series of real estate and stock bubbles that provided great wealth to the top tiers, while real income for average workers stagnated. Improved commercial efficiency due to computers, electronics, the Internet and fast transport allowed production and distribution with fewer workers, just as the advent of electrification, mechanization, production lines, vehicles and trains in the 1920s and 1930s produced the same stagnating effect.

On April 29, 2003, the Zicklin School of Business hosted a trading conference titled, Coping With Institutional Order Flow. This conference was electronically recorded and later transcribed for this book. The text includes the edited transcript of the panel discussions and separate presentations by two major industry executives, Richard Ketchum' and Robert Mc Sweeney. As with the other volumes in this popular series, this book is not simply intended to be an historical record of the conference. We have edited the manuscript for clarity, perspective and context. New material was gathered in subsequent interviews with many of the panelists. Consequently, some remarks and passages in the text were altered and expanded and many footnotes were introduced. Our goal was to flesh out the dialogue and presentations and to keep the material as contemporary as possible. In doing so, we went to great lengths to preserve the essential nature of the original debate. We worked closely with the panelists in the editing process and took pains not to distort the meaning of their remarks. They have all approved the final draft of the manuscript. We thank them for their assistance and patience. \n my opening remarks at the conference, I suggested that effective handling of institutional order flow is one of the most important and difficult At the time of the conference, Richard Ketchum was President and Deputy Chairman at The Nasdaq Stock Market, Inc. Preface xiv challenges facing our equity markets today.

Since the 2008 economic crisis, small and medium-sized enterprises (SMEs) have faced serious financial problems and have been looking to financial institutions and governments for solutions and new proposals to address these issues. This book examines the new challenge in which firms receive sustainable funding that is in alignment with the company's spending capacity. The purpose of this book is to examine the main theoretical issues and practices regarding entrepreneurship and finance and their impact on performance, innovation and economic growth. It analyzes the fundamental aspects of entrepreneurship and studies ways in which financial institutions can better fulfill their primary function of feeding capital to businesses and the economy as a whole. Entrepreneurship and finance are fundamental to achieving success in economic and social activities. SMEs' existence and development depend on the initiatives of entrepreneurship and access to resources, especially those of a financial nature. During the recent economic crisis, several new financing instruments have appeared, especially with structures designed for helping SMEs make their way out of the recession. This book explores some of these tools in various global economies, such as France and Spain, providing an international, multidimensional perspective.

With global finance reshaping the world economy, this insightful new book provides a full account of the EU's financial integration strategy, together with a critical assessment arguing the case for social control over global finance. Written by acknowledged experts in European finance, this book discusses key issues from finance to general social developments, encompassing social security systems, employment relations, household saving and borrowing, and the question of economic stability. Thus far, America has been pre-eminent both in global financial markets and international banking - so how should the European Union meet this challenge? Global Finance and Social Europe constructively argues that an active response is required and highlights the importance of an integrated European financial system. Aimed at an international audience, this book will strongly appeal to researchers, academics and readers who share an interest in European integration and global economic issues.

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.

The changing dynamics of business worldwide have led organizations to look beyond traditional managerial practices while at the same time attempting to retain their core competitive advantages. This development has called upon academicians and practitioners alike to reassess the different aspects of business management such as macroeconomic variables, the nature of the market, the changing features of the workplace, the new work ethos, and/or employer-employee exchanges. In this context, the book provides essential insights on industry innovations, academic advances and policy movements with regard to recovering markets in India and around the globe. The individual papers highlight potential avenues that could allow industry to better understand and respond to the global crisis. The book collects research papers presented at the Global Conference on Managing in Recovering Markets (GCMRM), held in March 2014. Seven international and 120 national business schools and management universities were represented at the conference, the first in a series of 13 planned under the GCMRM agenda for 2014 17. The book includes more than 30 research papers chosen from a pool of 118 presented at the conference, all of which have undergone a rigorous blind review process."

Wariboko offers a critical-philosophical perspective on the logics and dynamics of finance capital in the twenty-first century in order to craft a model of the care of the soul that will enable citizens to not only better negotiate their economic existences and moral evaluations within it, but also resist its negative impact on social life.

Energy issues feature frequently in the economic and financial press. Specific examples of topical energy issues come from around the globe and often concern economics and finance. The importance of energy production, consumption and trade raises fundamental economic issues that impact the global economy and financial markets. This volume presents research on energy economics and financial markets related to the themes of supply and demand, environmental impact and renewables, energy derivatives trading, and finance and energy. The contributions by experts in their fields take a global perspective, as well as presenting cases from various countries and continents.

Over the last two decades there has been a great deal of research into nonlinear dynamic models in economics, finance and the social sciences. This book contains twenty papers that range over very recent applications in these areas. Topics covered include structural change and economic growth, disequilibrium dynamics and economic policy as well as models with boundedly rational agents. The book illustrates some of the most recent research tools in this area and will be of interest to economists working in economic dynamics and to mathematicians interested in seeing ideas from nonlinear dynamics and complexity theory applied to the economic sciences.

For the present edition four chapters have been added which form the fourth 1 part at the end of the book . Entitled The triumph of neoliberalism , the new partexplains how theimplementation worldwide oftheneoliberal agenda paved the way for the present crisis. As a matter of fact, the evidence provided in chapter 9 suggests that the present crisis already began to build up in the mid-1970s. It is around 1975 that (real) US wages reached a peak-level they would never regain in f- lowing decades. It was also around 1975 that the number of strikes began to fall sharply. The mid-1970s also marked the beginning of a huge in ow of immigrants (in large part of Hispanic origin) into the United States. The in ated supply of labor depressed wages and this had the consequence that consumption could be increased only by an unprecedented development of credit. Perhaps the reader may think that to blame the prevailing economic system for the unfolding depression is a fairly common and all too easy temptation.

Financial and insurance calculations become more and more frequent and helpful for many users not only in their profession life but sometimes even in their personal life. Therefore a survey of formulas of ?nancial and insurance mathematics that can be applied to such calculations seems to be a suitable aid. In some cases one should use instead of the term formula more suitable terms of the type method, p- cedure or algorithm since the corresponding calculations cannot be simply summed up to a single expression, and a verbal description without introducing complicated symbols is more appropriate. The survey has the following ambitions: * The formulas should be applicable in practice: it has motivated their choice for this survey ?rst and foremost. On the other hand it is obvious that by time one puts to use in practice seemingly very abstract formulas of higher mathematics, e.g. when pricing ?nancial derivatives, evaluating ?nancial risks, applying accou- ing principles based on fair values, choosing alternative risk transfers ARL in insurance, and the like. * The formulas should be error-free (though such a goal is not achievable in full) since in the ?nancial and insurance framework one publishes sometimes in a h- tic way various untried formulas and methods that may be incorrect. Of course, the formulas are introduced here without proofs because their derivation is not the task of this survey.

What constitutes a sovereign wealth fund is contested. In general, however, it is a state-sponsored institutional investor that is answerable only to the state and makes investments according to the interests and mandate of that state. Different types of funds have emerged in the context of particular economic conjunctures, and over the last decade the number of sovereign wealth funds has grown substantially, with total assets exceeding $7 trillion. This trend is set to continue, as more and more countries look to establish an SWF. The place of SWFs in global financial markets may appear settled, but this does not mean that concerns about "state capital" and its place in financial markets has gone away. This short book offers an incisive discussion of the development of this class of investor, how they have become legitimate actors in global financial markets, and their role as providers of capital and in economic development at home and abroad.

To ensure refinancing opportunities for SMEs, answers for bridging the information gap between investor and company are needed; in this context, capital markets are becoming increasingly important. Alexander Zureck focuses on patents as an example of intangible assets and on their importance for the financial communication between SMEs and the capital market. A positive correlation between patent application and stock price development underscores the importance of patents. Based on his findings, the author recommends to take patents and other intangible assets into company's financial communication.

Asymptotic analysis of stochastic stock price models is the central topic of the present volume. Special examples of such models are stochastic volatility models, that have been developed as an answer to certain imperfections in a celebrated Black-Scholes model of option pricing. In a stock price model with stochastic volatility, the random behavior of the volatility is described by a stochastic process. For instance, in the Hull-White model the volatility process is a geometric Brownian motion, the Stein-Stein model uses an Ornstein-Uhlenbeck process as the stochastic volatility, and in the Heston model a Cox-Ingersoll-Ross process governs the behavior of the volatility. One of the author's main goals is to provide sharp asymptotic formulas with error estimates for distribution densities of stock prices, option pricing functions, and implied volatilities in various stochastic volatility models. The author also establishes sharp asymptotic formulas for the implied volatility at extreme strikes in general stochastic stock price models. The present volume is addressed to researchers and graduate students working in the area of financial mathematics, analysis, or probability theory. The reader is expected to be familiar with elements of classical analysis, stochastic analysis and probability theory.

The management of operational risk in the banking industry has undergone explosive changes over the last decade due to substantial changes in the operational environment. Globalization, deregulation, the use of complex financial products, and changes in information technology have resulted in exposure to new risks which are very different from market and credit risks. In response, the Basel Committee on Banking Supervision has developed a new regulatory framework for capital measurement and standards for the banking sector. This has formally defined operational risk and introduced corresponding capital requirements. Many banks are undertaking quantitative modelling of operational risk using the Loss Distribution Approach (LDA) based on statistical quantification of the frequency and severity of operational risk losses. There are a number of unresolved methodological challenges in the LDA implementation. Overall, the area of quantitative operational risk is very new and different methods are under hot debate. This book is devoted to quantitative issues in LDA. In particular, the use of Bayesian inference is the main focus. Though it is very new in this area, the Bayesian approach is well suited for modelling operational risk, as it allows for a consistent and convenient statistical framework for quantifying the uncertainties involved. It also allows for the combination of expert opinion with historical internal and external data in estimation procedures. These are critical, especially for low-frequency/high-impact operational risks. This book is aimed at practitioners in risk management, academic researchers in financial mathematics, banking industry regulators and advanced graduate students in the area. It is a must-read for anyone who works, teaches or does research in the area of financial risk.

Most financial and investment decisions are based on considerations of possible future changes and require forecasts on the evolution of the financial world. Time series and processes are the natural tools for describing the dynamic behavior of financial data, leading to the required forecasts. This book presents a survey of the empirical properties of financial time series, their descriptions by means of mathematical processes, and some implications for important financial applications used in many areas like risk evaluation, option pricing or portfolio construction. The statistical tools used to extract information from raw data are introduced. Extensive multiscale empirical statistics provide a solid benchmark of stylized facts (heteroskedasticity, long memory, fat-tails, leverage...), in order to assess various mathematical structures that can capture the observed regularities. The author introduces a broad range of processes and evaluates them systematically against the benchmark, summarizing the successes and limitations of these models from an empirical point of view. The outcome is that only multiscale ARCH processes with long memory, discrete multiplicative structures and non-normal innovations are able to capture correctly the empirical properties. In particular, only a discrete time series framework allows to capture all the stylized facts in a process, whereas the stochastic calculus used in the continuum limit is too constraining. The present volume offers various applications and extensions for this class of processes including high-frequency volatility estimators, market risk evaluation, covariance estimation and multivariate extensions of the processes. The book discusses many practical implications and is addressed to practitioners and quants in the financial industry, as well as to academics, including graduate (Master or PhD level) students. The prerequisites are basic statistics and some elementary financial mathematics.

Advances in Entrepreneurial Finance brings together contributions from researchers from the fields of entrepreneurship, behavioral finance, psychology, and neuroscience to shed new light on the dynamics of decision making and risk taking by entrepreneurs and venture capitalists (VCs). Every new venture requires access to capital at competitive interest rates, and much has been written on general entrepreneurship by management scholars and financial contracting by financial economists using traditional finance theory with all its highly restrictive assumptions regarding decision makers' cognitive capabilities and behavior. But recent developments in behavioral finance can now be applied to understand how entrepreneurs and VCs perceive risk and uncertainty and how they decide and act accordingly. Showcasing the latest research, this volume demonstrates that findings from the behavioral and neuroscience arenas can and do explain decision making by entrepreneurs and venture investors in the real world. Consequently, such findings have practical implications not only for entrepreneurs, venture capitalists, and their advisors, but also all government agencies and NGOs that want to support product and technological innovation, capital formation, job creation, and economic development.

Using network models to investigate the interconnectivity in modern economic systems allows researchers to better understand and explain some economic phenomena. This volume presents contributions by known experts and active researchers in economic and financial network modeling. Readers are provided with an understanding of the latest advances in network analysis as applied to economics, finance, corporate governance, and investments. Moreover, recent advances in market network analysis that focus on influential techniques for market graph analysis are also examined. Young researchers will find this volume particularly useful in facilitating their introduction to this new and fascinating field. Professionals in economics, financial management, various technologies, and network analysis, will find the network models presented in this book beneficial in analyzing the interconnectivity in modern economic systems.