Applied International Economics, 5th edition, offers a modern and accessible treatment of international economics, shifting the emphasis from pure theory to the application of theory by using the standard tools of economic analysis. This new and streamlined edition makes the real-world application of international economics even more clear than previous editions, and focuses on the basics that students will need in order to analyze information on the world economy throughout their future careers. The new edition has been refocused, revised, and thoroughly updated. Key features include: Expanded coverage of China's role in the world economy. New material on how changes in trade flows can be decomposed into the extensive and intensive margins of trade. New material on the use of Section 301 of U.S. trade law and the U.S.-China trade dispute. Updated coverage of Brexit. A new focus on the sole use of the Mundell-Fleming model to analyze balance of payments issues. Improved linkages between the concepts of purchasing power parity and the real exchange rate. Written in a thorough and engaging style, the book covers topics at a level appropriate for students specializing in business or international relations, as well as economics students. Along with a wealth of case studies and real-life examples, the book offers extensive pedagogical tools that include a companion website, end-of-chapter summaries, and explanations of key concepts and terms. For instructors, PowerPoint presentations and an extensive test bank are available.

The past few decades have witnessed the emergence of economic imbalances at the world level and within the euro zone. The failure of mainstream economics to accurately predict financial crises, or model the effects of finance-led growth, highlights the need for alternative frameworks. A key text, Global Imbalances and Financial Capitalism: Stock-Flow-Consistent Modelling demonstrates that Stock-Flow-Consistent models are well adapted to study this growth regime due to their ability to analyse the real and financial sides of the economy in an integrated way. This approach is combined with an analysis of exchange rate misalignments using the Fundamental Equilibrium Exchange Rate (FEER) methodology, which serves to give a synthetic view of international imbalances. Together, these models describe how global and regional imbalances are created, as well as suggest appropriate tools through which they may be reduced. The book also considers alternative economic policies in the euro zone (international risk sharing, fiscal federalism, eurobonds, European investments, a multispeed euro zone) alongside alternative monetary policies. In particular, it examines the possibilities of using SDR (Special Drawing Rights) as a reserve asset to be issued to fight a global recession, to support the development of low-income countries, or as an anchor to improve global monetary stability. This text will be of interest to students, scholars, and researchers of economic theory and international monetary economics. It will also appeal to professional organisations who supervise international relations.

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.

As an important macroeconomic variant, the fiscal revenue and expenditure can influence the operation of the whole economic and social activities by changing the existing GDP distribution pattern, affecting the consumption and investment of enterprises and people, etc. Thus, fiscal policy has always been a primary instrument of macroeconomic regulation. This book imports fiscal policy into the framework of macroeconomic analysis and through the analysis of the former, it unfolds the major changes of China's macroeconomic operation in the past 20 years. This book begins with China's rejoining the General Agreement on Tariffs and Trade (GATT) in the 1990s which enabled China to deepen the reform and join the international market finally. It elaborates on the challenges China's taxation would be confronted with after rejoining the GATT, including the decrease of tax revenue and higher requirements for tax reform. Then this book combs China's fiscal policies under various economic situations chronologically-tax policy under the background of deflation, proactive fiscal policy at the beginning of 21st century, macroeconomic policy options facing a complicated and volatile economy, etc. How to deal with the ! Degreesnew normal!+/- of development China's economy has entered is also addressed. This book will appeal to scholars and students of economics and China's economic studies.

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.

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.

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.

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.

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.

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.

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.

Incorporates the many tools needed for modeling and pricing in finance and insurance
Introductory Stochastic Analysis for Finance and Insurance introduces readers to the topics needed to master and use basic stochastic analysis techniques for mathematical finance. The author presents the theories of stochastic processes and stochastic calculus and provides the necessary tools for modeling and pricing in finance and insurance. Practical in focus, the book's emphasis is on application, intuition, and computation, rather than theory.
Consequently, the text is of interest to graduate students, researchers, and practitioners interested in these areas. While the text is self-contained, an introductory course in probability theory is beneficial to prospective readers.
This book evolved from the author's experience as an instructor and has been thoroughly classroom-tested. Following an introduction, the author sets forth the fundamental information and tools needed by researchers and practitioners working in the financial and insurance industries:
* Overview of Probability Theory
* Discrete-Time stochastic processes
* Continuous-time stochastic processes
* Stochastic calculus: basic topics
The final two chapters, Stochastic Calculus: Advanced Topics and Applications in Insurance, are devoted to more advanced topics. Readers learn the Feynman-Kac formula, the Girsanov's theorem, and complex barrier hitting times distributions. Finally, readers discover how stochastic analysis and principles are applied in practice through two insurance examples: valuation of equity-linked annuities under a stochastic interest rate environment and calculation of reserves for universal life insurance.
Throughout the text, figures and tables are used to help simplify complex theory and pro-cesses. An extensive bibliography opens up additional avenues of research to specialized topics.
Ideal for upper-level undergraduate and graduate students, this text is recommended for one-semester courses in stochastic finance and calculus. It is also recommended as a study guide for professionals taking Causality Actuarial Society (CAS) and Society of Actuaries (SOA) actuarial examinations.

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.

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.

Dramatically improve inventory accuracy with bestselling author Steven Bragg's step-by-step guidelines
Inventory Accounting is a comprehensive, step-by-step guide to setting up an inventory accounting system and keeping it running at maximum efficiency. This hands-on book provides accounting professionals with essential information on how to:
* Set up an accounting system that efficiently handles accumulating inventory costs, summarizing accounts, and standard journal entries used to record transactions
* Use best practices to increase the efficiency of inventory-tracking and costing functions
* Install unique controls to combat inventory fraud
* Implement a step-by-step checklist of activities for inventory counting procedures
* Save hours of valuable time researching various GAAP reference manuals
* Adapt inventory tracking and costing systems to accommodate a variety of manufacturing systems
Spanning the entire spectrum of inventory accounting, Inventory Accounting deftly explores every facet of the field to help professionals eliminate inaccuracies from their inventory accounting systems.

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 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.

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.

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.

This book tells the story of how the news media can help the inattentive members of the public become better educated and knowledgeable 'economic citizens'. The authors argue that changes in the economy, journalism and consumer culture have made economic news more visible, more mainstream and more accessible. They show how economic news not only affects economic perceptions, but also interest in the economy, knowledge about the economy, and economic voting. Relying on statistical analyses, the book provides a comprehensive and systematic study of the effects of economic news.

Why has Argentina suffered so much political and economic instability? How could Argentina, once one of the wealthiest countries in the world, failed to meet its potential over decades? What lessons can we take from Argentina's successes and failures? Argentina's economy is - irresistibly - fascinating. Argentina's economic history - its crises and its triumphs cannot be explained in purely economic terms. Argentina's economic history can only be explained in the context of conflicts of interest, of politics, war and peace, boom and bust. Argentina's economic history is also intertwined with ideological struggles over the ideal society and the on-going struggle of ideas. The book comprises two distinct components: an economic history of Argentina from the Spanish colonial period to 1990, followed by a narrative by Domingo Cavallo on the last 25 years of reform and counter reform. Domingo Cavallo has been at the centre of Argentina's economic and political debates for 40 years. He was one of the longest serving cabinet members since the return of democracy in 1983. He is uniquely qualified to help the reader make the connection between historical and current events through all these prisms. His daughter, Sonia Cavallo Runde, is an economist specialized on public policy that currently teaches the politics of development policy. The two Cavallos offer academics and students of economics and finance a long form case study. This book also seeks to offer researchers and policymakers around the world with relevant lessons and insights to similar problems from the Argentine experience.