This book undertakes a detailed construction of Dynamic Markov Bridges using a combination of theory and real-world applications to drive home important concepts and methodologies. In Part I, theory is developed using tools from stochastic filtering, partial differential equations, Markov processes, and their interplay. Part II is devoted to the applications of the theory developed in Part I to asymmetric information models among financial agents, which include a strategic risk-neutral insider who possesses a private signal concerning the future value of the traded asset, non-strategic noise traders, and competitive risk-neutral market makers. A thorough analysis of optimality conditions for risk-neutral insiders  is provided and the implications on equilibrium of non-Gaussian extensions are discussed. A Markov bridge, first considered by Paul Lévy in the context of Brownian motion, is a mathematical system that undergoes changes in value from one state to another when the initial and final states are fixed. Markov bridges have many applications as stochastic models of real-world processes, especially within the areas of Economics and Finance. The construction of a Dynamic Markov Bridge, a useful extension of Markov bridge theory, addresses several important questions concerning how financial markets function, among them: how the presence of an insider trader impacts market efficiency; how insider trading on financial markets can be detected; how information assimilates in market prices; and the optimal pricing policy of a particular market maker. Principles in this book will appeal to probabilists, statisticians, economists, researchers, and graduate students interested in Markov bridges and market microstructure theory.

One of the main challenges faced by all entrepreneurs, is the need to growth. Growth is part of all organizations, it implies continuous growth of sales, purchases, number of employees, profit and thus the growth of the enterprise. Most innovations that are part of the organizations are derived from the internal organization. Industrial Revolution 4.0 provides both opportunities and challenges to all entrepreneurs to grow their business. The rapid development of technology and all digital aspects create opportunities of innovation in organizations. These proceedings provide details beyond what is possible to be included in an oral presentation and constitute a concise but timely medium for the dissemination of recent research results. It will be invaluable to professionals and academics in the field of business, entrepreneurship and economics to get an understanding of recent research developments.

This book investigates recent changes in Japan's financial system and looks at the implications for Japan's particularistic model of political economy. Drawing on the latest theoretical research, it seeks to determine how Japan's experience resembles patterns which many scholars in the West have associated with financial globalization as a powerful force for conveyance. The book sets out the background and examines the progression of financial deregulation in Japan, culminating in the Big Bang programme of financial reform set in motion in November 1996. It analyses developments in the financial sector to gauge the extent to which Japanese financial institutions are falling into line with emerging norms of organization and strategic management. It also examines the implications for the corporate and household sectors stemming from the government and financial sectors' partial embrace of financial globalization.

When I worked on my Introduction to Multiple Time Series Analysis (Lutk ] ]- pohl (1991)), a suitable textbook for this ?eld was not available. Given the great importance these methods have gained in applied econometric work, it is perhaps not surprising in retrospect that the book was quite successful. Now, almost one and a half decades later the ?eld has undergone substantial development and, therefore, the book does not cover all topics of my own courses on the subject anymore. Therefore, I started to think about a serious revision of the book when I moved to the European University Institute in Florence in 2002. Here in the lovely hills of ToscanyIhadthetimetothink about bigger projects again and decided to prepare a substantial revision of my previous book. Because the label Second Edition was already used for a previous reprint of the book, I decided to modify the title and thereby hope to signal to potential readers that signi?cant changes have been made relative to my previous multiple time series book."

Expands the field by approaching the issue using a qualitative methodology; Presents a compliance perspective within the legal sector; Draws upon responses from a section of the legal profession that can be extremely hard to access for research purposes; Provides international comparisons throughout.

Complex-Valued Modeling in Economics and Finance outlines the theory, methodology, and techniques behind modeling economic processes using complex variables theory. The theory of complex variables functions is widely used in many scientific fields, since work with complex variables can appropriately describe different complex real-life processes. Many economic indicators and factors reflecting the properties of the same object can be represented in the form of complex variables. By describing the relationship between various indicators using the functions of these variables, new economic and financial models can be created which are often more accurate than the models of real variables. This book pays critical attention to complex variables production in stock market modeling, modeling illegal economy, time series forecasting, complex auto-aggressive models, and economic dynamics modeling. Very little has been published on this topic and its applications within the fields of economics and finance, and this volume appeals to graduate-level students studying economics, academic researchers in economics and finance, and economists.

"Serial Innovators: How Individuals Create and Deliver Breakthrough Innovations in Mature Firms" zeros in on the cutting-edge thinkers who repeatedly create and deliver breakthrough innovations and new products in large, mature organizations. These employees are organizational powerhouses who solve consumer problems and substantially contribute to the financial value to their firms.
In this pioneering study, authors Abbie Griffin, Raymond L. Price, and Bruce A. Vojak detail who these serial innovators are and how they develop novel products, ranging from salt-free seasonings to improved electronics in companies such as Alberto Culver, Hewlett-Packard, and Procter & Gamble. Based on interviews with over 50 serial innovators and an even larger pool of their co-workers, managers and human resources teams, the authors reveal key insights about how to better understand, emulate, enable, support, and manage these unique and important individuals for long-term corporate success. Interestingly, the book finds that serial innovators are instrumental both in cases where firms are aware of clear market demands, and in scenarios when companies take risks on new investments, creating a consumer need.
For over 25 years, research on innovation has taken the perspective that new product development can be managed like any other (complex) process of the firm. While a highly structured and closely supervised approach is helpful in creating incremental innovations, this book finds that it is not conducive to creating breakthrough innovations. The text argues that the drive to routinize innovation has gone too far; in fact, so far as to limit many mature firms' ability to create breakthrough innovations. In today's economy, with the future of so many large firms on the line, this book is a clarion call to businesses to rethink how to nurture and thrive on their innovative workforce.

This book considers how the practical and public policy relevance of research might be increased, and academics and practitioners can better engage to define research agendas and deliver findings relevant to accounting and accountability in the public services. To do so, an international comparative analysis of the research-practice gap in public sector accounting has been undertaken. This involved academic perspectives from over twenty countries, and practitioner perspectives from leading international professional accounting bodies actively involved in the public services arena. It was found that research is valued for informing practice, but engaging at a high level of policy engagement has been primarily by a small group of experienced researchers. For other researchers the impact accomplished may not always be valued highly in the academic community relative to other, more scholarly, activities. The book therefore looks at how engagement and impact between academics and practitioners can be increased.

Economic conditions can change dramatically over time, requiring significant changes in interest rates. Loans that appeared desirable methods of expansion when taken out can, with a change in interest rates, become massive outgoings that leave the unprepared business exposed to potentially crippling debt.

Whether borrowing, investing, saving or trading, a company will always have to take into account the cost of capital and therefore interest rate risk. The efficient management of this risk is essential for the survival of a company and any business that is exposed to such a risk should ensure that it is fully prepared to manage it.

Aimed at senior managers within businesses, this book is a practical primer on how to reduce risk from changes in interest rates.

The emergence of new platform business models, notably the sharing economy, is impacting the economy in various ways, altering the structure of many industries, and raising a number of economic and political issues. This book investigates the widespread influence of the sharing economy on businesses and society, as well as examining its underpinning economic principles and development. This volume presents an exhaustive review of the existing knowledge on the sharing economy and addresses several major areas of concern for incumbent businesses. It also explains the business models for those who are interested in embarking on their own ventures and provides an excellent source for further research. It takes an in-depth look at controversial labour policies, such as using labour as self-employed contractors or using regulatory grey areas to expand in markets. It is highly multidisciplinary, establishing links between economics, finance, marketing and consumer behaviour. This contribution on the sharing economy will enable researchers and graduate and doctoral students to expand and improve their understanding of this topic and identify new research problems in all of these areas. The book will also appeal to policy makers, regional and local government decision makers, and those interested in labour markets transformation.

The first part of this book discusses institutions and mechanisms of algorithmic trading, market microstructure, high-frequency data and stylized facts, time and event aggregation, order book dynamics, trading strategies and algorithms, transaction costs, market impact and execution strategies, risk analysis, and management. The second part covers market impact models, network models, multi-asset trading, machine learning techniques, and nonlinear filtering. The third part discusses electronic market making, liquidity, systemic risk, recent developments and debates on the subject.

Until now there were no published analyses of the recent solvency work conducted in Europe, specifically the risk categories proposed by the International Actuarial Association (IAA). Answering the insurance industry's demand in the wake of the EU Solvency II project, Solvency: Models, Assessment and Regulation provides a concrete summary and review of solvency and inspires additional work in the field. Following an introduction to the concept, the first section of the book provides a historical review of solvency, detailing solvency regulation and accounting within the EU. A review of the steps leading to Solvency II looks at accounting, supervision, the actuarial field, the first phase of Solvency II, international approaches to banking, and the solvency systems of 12 major nations. The second section explores the current basis for solvency modeling, focusing on the valuation of assets and liabilities, dependency and various conservative approaches, as well as a baseline and benchmark approach. This section also provides examples of risk structure and the effects of diversification. The final section discusses groups and internal modeling as it relates to EU Solvency II. It addresses insurance groups, financial conglomerates, reinsurance, the importance of internal modeling and stress testing, and the current state of the second phase of EU Solvency II.

The overarching aim of Finance, Innovation and Geography: Harnessing Knowledge Dynamics in German Biotechnology is to explore linkages between geographies of finance and relational geographies of innovation. This is achieved by questioning how investment activities affect the unfolding of innovations and in turn are affected by it. This book focuses on biotechnology innovation processes from the perspective of relational economic geography. It reconstructs the unfolding in time and space of eight innovations in German biotechnology. Each one is represented in a qualitative case study. The analysis focuses on the relational work of building, transforming, ending and replacing of collaborative relationships and organizational arrangements surrounding emergent innovations including investment relations and relational work by investors. In this way, the contribution of investors to unfolding innovations is studied with sensitivity to context and situated interactions. The geography of these dynamics is conceptualized by drawing on the recent literature on relational proximity and distance as well as ideas of materiality and space. This book provides a unique perspective, and shows that innovation paths are strongly interwoven with local and temporary opportunities as well as crises, and that investment is embedded in these dynamics. This is essential reading for students and academics of both economics and innovation.

In financial and actuarial modeling and other areas of application, stochastic differential equations with jumps have been employed to describe the dynamics of various state variables. The numerical solution of such equations is more complex than that of those only driven by Wiener processes, described in Kloeden & Platen: Numerical Solution of Stochastic Differential Equations (1992). The present monograph builds on the above-mentioned work and provides an introduction to stochastic differential equations with jumps, in both theory and application, emphasizing the numerical methods needed to solve such equations. It presents many new results on higher-order methods for scenario and Monte Carlo simulation, including implicit, predictor corrector, extrapolation, Markov chain and variance reduction methods, stressing the importance of their numerical stability. Furthermore, it includes chapters on exact simulation, estimation and filtering. Besides serving as a basic text on quantitative methods, it offers ready access to a large number of potential research problems in an area that is widely applicable and rapidly expanding. Finance is chosen as the area of application because much of the recent research on stochastic numerical methods has been driven by challenges in quantitative finance. Moreover, the volume introduces readers to the modern benchmark approach that provides a general framework for modeling in finance and insurance beyond the standard risk-neutral approach. It requires undergraduate background in mathematical or quantitative methods, is accessible to a broad readership, including those who are only seeking numerical recipes, and includes exercises that help the reader develop a deeper understanding of the underlying mathematics.

Originally published in 1987, The Financial Markets of the Arabian Gulf looks at the importance of finance and the flow of funds to the development of the countries in the Arabian Gulf. Examining in detail the financial markets of Kuwait, Saudi Arabia and Bahrain, the book looks at how each of these markets has developed differently because of the political choices made by each government and how each is faced with different cultural and sociological variables which has influenced future of the financial markets. This book provides a look at the fiber of each of these three Arab Nations in respect of their financial markets.

Like norms, translation invariant functions are a natural and powerful tool for the separation of sets and scalarization. This book provides an extensive foundation for their application. It presents in a unified way new results as well as results which are scattered throughout the literature. The functions are defined on linear spaces and can be applied to nonconvex problems. Fundamental theorems for the function class are proved, with implications for arbitrary extended real-valued functions. The scope of applications is illustrated by chapters related to vector optimization, set-valued optimization, and optimization under uncertainty, by fundamental statements in nonlinear functional analysis and by examples from mathematical finance as well as from consumer and production theory. The book is written for students and researchers in mathematics and mathematical economics. Engineers and researchers from other disciplines can benefit from the applications, for example from scalarization methods for multiobjective optimization and optimal control problems.

Drawing on advanced probability theory, Ambit Stochastics is used to model stochastic processes which depend on both time and space. This monograph, the first on the subject, provides a reference for this burgeoning field, complete with the applications that have driven its development. Unique to Ambit Stochastics are ambit sets, which allow the delimitation of space-time to a zone of interest, and ambit fields, which are particularly well-adapted to modelling stochastic volatility or intermittency. These attributes lend themselves notably to applications in the statistical theory of turbulence and financial econometrics. In addition to the theory and applications of Ambit Stochastics, the book also contains new theory on the simulation of ambit fields and a comprehensive stochastic integration theory for Volterra processes in a non-semimartingale context. Written by pioneers in the subject, this book will appeal to researchers and graduate students interested in empirical stochastic modelling.

Who would disagree that money matters? Economists have yet to sufficiently explore issues related to monetary inflation in relation to the Cantillon effect, i.e. distribution and price effects resulting from uneven changes in the money supply and their impact on the economy. This book fills this important gap in the existing literature. The author classifies the various channels through which new money can be injected into the economy and demonstrates that it is not only the increase in money supply that is important, but also the way in which it occurs. Since the increase in money supply does not affect the cash balance of all economic entities in the same proportion and at the same time - new money is introduced into the economy through specific channels - a distribution of income and changes in the structure of relative prices and production occur. The study of money supply growth, carried out in the spirit of Richard Cantillon, offers an important analytical framework that facilitates the development of a number of sub-disciplines within economics and provides a better understanding of many economic processes. It significantly explores the theory of money and inflation, the business cycle and price bubbles, but also the theory of banking and central banking, income distribution, income and wealth inequalities, and the theory of public choice. This book is therefore an important voice in the fundamental debate on the role of monetary factors in the economy, as well as on the effects and legitimacy of a loose monetary policy. In 2017, the doctoral dissertation on which the book is based was awarded the Polish Prime Minister's prize. In these times of non-standard monetary policy and rising income inequalities in OECD countries, the focus on the distribution effect of monetary inflation makes this a must read for researchers and policy-makers and for anyone working in monetary economics. This title was translated from Polish by Martin Turnau.

Globalization and worldwide communications have overridden national boundaries. In many markets, the effect of global financial interdependence (governmental, political, and business) is now so interconnected that they must be considered with almost any decision being made. This book shows how successful enterprises have integrated information technology and business strategies, culture, and ethics in order to optimize information value, attain business objectives, and capitalize on technologies even in highly competitive environments.

Accounting and finance are key aspects of business. All those who work for, or deal with, businesses need to understand these subjects. Essentially, understanding accounting and finance is a prerequisite for understanding business.

Accounting and Finance is intended as an essential textbook for students studying accounting and finance for the first time and aims to equip them with the necessary understanding of the theory and practice of financial accounting, management accounting and business finance. The text provides a self-contained, introductory, one-year course covering all the major aspects of accounting and finance, which can be used by students on both accounting and non-accounting degrees, as well as those on MBA and MSC courses.

Designed to be engaging and accessible, Accounting and Finance features:

• Lively and clear presentational style
• Full IFRS coverage
• Combination of theory and practice stressing the underlying concepts and the context within which accounting operates
• Comprehensive chapter on the interpretation of accounts
• Financial data from a wide variety of international companies
• Numerous real-life examples to bring the subject to live
• End-of-chapter question of escalating difficulty together with accompanying answers, enabling the student to develop their understanding of the key concepts

This book focuses on the analysis of financial data and innovative results of Chinese Zhongguancun (Z-park) NEEQ Listed Firms in 2020 and objectively evaluates the growth ability of them. The book displays the overall scale, growth capacity, industry distribution, social contribution, and comparison with other regions of NEEQ Listed Firms in Zhongguancun from multiple dimensions, aiming at objectively presenting the growth characteristics and development status of them. For global investors, economic researchers, or financial analysts, this book is an important way to understand China's scientific and technological innovation achievements and Zhongguancun's outstanding enterprises.

Cryptocurrencies and digital coins have evolved quite rapidly and have become a tool with significant impacts on economic decisions in a short time. This book covers deep theoretical and empirical researches from different perspectives upon cryptocurrencies by successful and expert researchers in their fields. It contains theoretical and empirical analyses on cryptocurrency. The contributors discuss the historical background of money and cryptocurrency, its future prospects and its effects in the financial system. Furthermore, they examine regulations on crypto coins, the effects of central banks on monetary policies, business control processes of Blockchain technologies, continuous control, taxation and the empirical applications about it.

This monograph focuses on those stochastic quickest detection tasks in disorder problems that arise in the dynamical analysis of statistical data. These include quickest detection of randomly appearing targets, of spontaneously arising effects, and of arbitrage (in financial mathematics). There is also currently great interest in quickest detection methods for randomly occurring intrusions in information systems and in the design of defense methods against cyber-attacks. The author shows that the majority of quickest detection problems can be reformulated as optimal stopping problems where the stopping time is the moment the occurrence of disorder is signaled. Thus, considerable attention is devoted to the general theory of optimal stopping rules, and to its concrete problem-solving methods. The exposition covers both the discrete time case, which is in principle relatively simple and allows step-by-step considerations, and the continuous-time case, which often requires more technical machinery such as martingales, supermartingales, and stochastic integrals. There is a focus on the well-developed apparatus of Brownian motion, which enables the exact solution of many problems. The last chapter presents applications to financial markets. Researchers and graduate students interested in probability, decision theory and statistical sequential analysis will find this book useful.

The credit crisis that started in 2007, with the collapse of well-established financial institutions and the bankruptcy of many public corporations, has clearly shown the importance for any company entering the derivative business of modelling, pricing, and hedging its counterparty credit exposure.

Building an accurate representation of firm-wide credit exposure, for both risk and trading activities, is a significant challenge from the technical as well as the practical point of view. This volume can be considered as a roadmap to finding practical solutions to the problem of computing counterparty credit exposure for large books of both vanilla and exotic derivatives usually traded by large Investment Banks. It is divided into four parts, (I) Methodology, (II) Architecture and Implementation, (III) Products, and (IV) Hedging and Managing Counterparty Risk.

Starting from a generic modelling and simulation framework based on American Monte Carlo techniques, it presents a software architecture, which, with its modular design, allows the computation of credit exposure in a portfolio-aggregated and scenario-consistent way. An essential part of the design is the definition of a programming language, which allows trade representation based on dynamic modelling features. Several chapters are then devoted to the analysis of credit exposure of various products across all asset classes, namely foreign exchange, interest rate, credit derivatives, and equity. Finally it considers how to mitigate and hedge counterparty exposure. The crucial question of dynamic hedging is addressed by constructing a hybrid product, the Contingent-Credit Default Swap.This volume addresses these and other problems, as well as recent developments related to counterparty credit exposure, from a quantitative perspective. Its unique characteristic is the combination of a rigorous but simple mathematical approach with a practical view of the financial problem at hand.

First published in 1988, Stock Markets of the Arab World provides a sound description and analysis of the stock market situation in Arab countries and an evaluation of previous attempts at the integration of capital markets. Foreign interest in the oil producing Arab countries has grown due to the accumulation of international reserves. Oil producers are looking for an alternative to their near-term investments in United States Securities through a diversification of their economies. This book argues that these countries could profitably invest these reserves through an integration of their securities markets. It also says that prospects of increased linkages among Arab domestic markets do exist. This is an interesting read for scholars and researchers of Middle East studies, Arab economy and economics in general.