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Books > Business & Economics > Finance & accounting > Finance > General
The book analyses the Spanish financial system from the turn of the last century to the present day and the economic, social and political backdrop to this history. The result is a consummate survey of historical developments leading right up to today's key issues and challenges, and to what the future may hold.
This book is in honor of Yasuhiko Takahara, a first-class researcher who has been active for some 50 years at the global level in systems research. Researchers and practitioners from Japan and other countries who have been influenced by Takahara have come together from far and wide to contribute their major research masterpieces in the field of systems research in the broadest sense. While the roots of Takahara's systems research are in general systems theory and systems control theory, he developed his research and teaching in diverse directions such as management information science, engineering, social simulation, and systems thinking. As a result, many of the researchers and practitioners he supervised or influenced have established their own positions and are now active around the world in a wide range of systems research. Volume II is a collection of their masterpieces or representative works in the fields of systems management theory and practice.
This book provides a concise analysis of behavioural biases and their implications for financial decision making. The book is written in the normative tradition, arguing strongly for the superiority of behavioural finance with respect to explaining observed phenomena in financial markets. It offers some unique features, including a discussion of the issue of conspiracy theory and how behavioural biases lead to belief in conspiracy theories. Lingering belief in the principles of neoclassical finance is attributed in part to the doctrine of publish or perish, which dominates contemporary academia. The offshoots of behavioural finance are discussed in detail, including ecological finance, environmental finance, social finance, experimental finance, neurofinance, and emotional finance. A comprehensive discussion of narcissism is presented where it is demonstrated that narcissistic behaviour is prevalent in the finance industry and that it led to the eruption of the global financial crisis.
This book focuses on the alternative techniques and data leveraged for credit risk, describing and analysing the array of methodological approaches for the usage of techniques and/or alternative data for regulatory and managerial rating models. During the last decade the increase in computational capacity, the consolidation of new methodologies to elaborate data and the availability of new information related to individuals and organizations, aided by the widespread usage of internet, set the stage for the development and application of artificial intelligence techniques in enterprises in general and financial institutions in particular. In the banking world, its application is even more relevant, thanks to the use of larger and larger data sets for credit risk modelling. The evaluation of credit risk has largely been based on client data modelling; such techniques (linear regression, logistic regression, decision trees, etc.) and data sets (financial, behavioural, sociologic, geographic, sectoral, etc.) are referred to as "traditional" and have been the de facto standards in the banking industry. The incoming challenge for credit risk managers is now to find ways to leverage the new AI toolbox on new (unconventional) data to enhance the models' predictive power, without neglecting problems due to results' interpretability while recognizing ethical dilemmas. Contributors are university researchers, risk managers operating in banks and other financial intermediaries and consultants. The topic is a major one for the financial industry, and this is one of the first works offering relevant case studies alongside practical problems and solutions.
This is a new edition of the best-selling economics book that won't put you to sleep. In our challenging economic climate, this perennial favourite of students and general readers includes commentary on hot topics such as automation, trade and income inequality. Ten years after the financial crisis, Naked Economics examines how policymakers managed the worst economic crisis since the Great Depression.
This global reference work is the first to identify and provide key
information on over 750 leading associations and professional
organizations, both national and international, which reflect the
size, diversity and specializations of the financial services
industry. Many of these bodies have regulatory responsibilities
which impact directly on financial institutions; others have
different roles such as offering accreditation to financial
institutions, or providing marketing channels, training facilities,
professional qualifications, discussion fora, setting of standards,
information services, or other significant membership benefits. A
global information resource such as Associations and Professional
Organizations in Financial Services therefore has significant value
for financial institutions and their professional advisors. All
data has been verified by the bodies included and covers the
following:
This book brings together conceptual and empirical analyses of the causes and consequences of changing business-government relations in China since the 1990s, against the backdrop of the country's increased integration with the global political economy. More specifically, it provides an interdisciplinary account of how the dominant patterns of interactions between state actors, firms and business organizations have changed across regions and industries, and how the changing varieties of these patterns have interacted with the evolution of key market institutions in China. The contributors to this edited volume posit that business-government relations comprise a key linchpin that defines the Chinese political economy and calibrates the character of its constitutive institutional arrangements.
OpRisk Awards 2020 Book of the Year Winner! The Authoritative Guide to the Best Practices in Operational Risk Management Operational Risk Management offers a comprehensive guide that contains a review of the most up-to-date and effective operational risk management practices in the financial services industry. The book provides an essential overview of the current methods and best practices applied in financial companies and also contains advanced tools and techniques developed by the most mature firms in the field. The author explores the range of operational risks such as information security, fraud or reputation damage and details how to put in place an effective program based on the four main risk management activities: risk identification, risk assessment, risk mitigation and risk monitoring. The book also examines some specific types of operational risks that rank high on many firms' risk registers. Drawing on the author's extensive experience working with and advising financial companies, Operational Risk Management is written both for those new to the discipline and for experienced operational risk managers who want to strengthen and consolidate their knowledge.
The book shows that self-help in commercial law is a fast, inexpensive and efficient alternative to court enforcement. Self-help remedies and private debt collection are largely but not exclusively features of common law jurisdictions, since remnants of private enforcement can still be found in contract law in civilian systems. The book argues that - despite their usefulness - self-help and private debt collection entail significant risks, especially for consumer debtors. This means that private enforcement needs to be accompanied by the introduction of tailor-made consumer-debtor protection regulation. Specific attention is given to factoring, which functions in many instances as a form of pseudo-private debt collection and which has been exploited to bypass sector-specific consumer protection regulations.
This book presents a comprehensive analysis of the alterations and problems caused by new technologies in all fields of the global digital economy. The impact of artificial intelligence (AI) not only on law but also on economics is examined. In the first part, the economics of AI are explored, including topics such as e-globalization and digital economy, corporate governance, risk management, and risk development, followed by a quantitative econometric analysis which utilizes regressions stipulating the scale of the impact. In the second part, the author presents the law of AI, covering topics such as the law of electronic technology, legal issues, AI and intellectual property rights, and legalizing AI. Case studies from different countries are presented, as well as a specific analysis of international law and common law. This book is a must-read for scholars and students of law, economics, and business, as well as policy-makers and practitioners, interested in a better understanding of legal and economic aspects and issues of AI and how to deal with them.
A comprehensive resource for understanding the complexities of agricultural finance Agricultural Finance: From Crops to Land, Water, and Infrastructure is a pioneering book that offers a comprehensive resource for understanding the worldwide agriculture markets, from spikes in agricultural commodity prices to trading strategies, and the agribusiness industry generally to the challenges of feeding the planet in particular. The book also goes in-depth on the topics of land, water, fertilizers, biofuels, and ethanol. Written by Helyette Geman an industry expert in commodity derivatives this book explores the agricultural marketplace and the cycles in agricultural commodity prices that can be the key to investor success. This resource addresses a wide range of other important topics as well, including agricultural insurance, energy, shipping and bunker prices, sustainability, investments in land, subsidies, agricultural derivatives, and farming risk-management. Other topics covered include structured products and agricultural commodities ETFs; trade finance in an era of credit shortage; securitization and commodity-linked notes; grains: wheat, corn, soybeans; softs: coffee, cocoa, cotton; shipping as a key component of agricultural trade; and the major agricultural shipping routes and the costs. The book: * Offers the first comprehensive resource that deals with the all aspects of agricultural finance * Includes information that is crucial for pension funds, asset managers, hedge funds, agribusiness corporates, CTAs and regulators * Covers a range of topics from agricultural bunker prices, futures, options to major shipping routes and the costs This text is a must-have resource for accessing the information required to trade successfully in the agricultural marketplace.
This book builds on research in translation studies of change in organizations and demonstrates the implications and application of these findings for managing innovation and change. When implementing ideas into practice in order to carry out innovative change, translation is key. From strategic and leadership changes to policy and health management decisions, abstract ideas such as 'LEAN', 'CSR', 'Sustainability', 'Public-Private Partnerships', 'Clinical Pathways' and 'AI' are introduced to improve organizational processes. However, in any company and organization, miscommunication and misinterpretation can lead to these ideas being modified, added to and appropriated in ways that make them unsuccessful. This book presents a case for change ideas in organizations being translated rather than "implemented" and offers a profound understanding of the translation processes needed in order for this to succeed. This vital study is a must-read for researchers, students and practitioners including change agents, general and health care managers, public servants as well as strategic managers and policy decision-makers.
This book is about how the rise of democracy has transformed economics over the past 150 years. As voting was expanded to the masses in the late 19th century, political leaders faced emergent pressures to deliver prosperity to their newly enfranchised populations. This led to the rise of the guardian state: a state whose prime directive was to protect economic growth and employment. Domestic economic goals now became sacrosanct, and if that meant a failure on the international stage to construct solutions to problems in monetary relations, so be it. The book traces the history of international monetary diplomacy during this long period to show how the guardian state has manifested itself, and how it has shaped the course of international monetary relations. Each of the most important international monetary conferences in history is scrutinized with respect to how nations sought to protect the prosperity within their national economies. The historical narratives give a bird's-eye view into how domestic political priorities have intruded on and shaped economic relations among nations. The book clearly demonstrates the advantages of an interdisciplinary understanding of how politics shapes economics. It will be invaluable reading for scholars and students of international economics, politics and economic history.
This book provides a detailed examination of foreign direct investment (FDI) inflows in Central and Eastern Europe (CEE) after closer integration in the European Union. An important facet of European economic integration was the development of a free-trade area in Central and Eastern Europe, which improved market accessibility. However, to date these relations have been little explored theoretically.The book examines foreign investments in different transition countries from both a theoretical and an empirical perspective. It analyzes changes in the choice of location by foreign investors in nineteen CEE countries between 1992 and 2015, and shows that it is linked to the removal of intra-regional trade barriers. The findings suggest that regional integration increases the incentives for multinationals to invest in the participating countries, especially in those with larger markets and lower production costs.
Rapid growth in financial services regulation in many countries has led to demand for high quality data about agencies and institutions involved in national and international regulatory systems and explanation of the legal context in which they operate. This major new information service provides detailed, consistently presented information for nearly 1400 institutions globally. It is divided into four regional volumes, each published twice annually, covering organizations with regulatory responsibilities, whether primary or secondary, for the banking and financial services industry on both national and international levels. These include: statutory regulators for all financial services sectors; ministries of finance; central banks; self-regulatory organizations and other bodies which help maintain the integrity of financial markets such as stock exchanges, clearing houses, ombudsmen, compensation schemes, deposit insurers, corporate governance initiatives; and professional financial services associations setting mandatory standards for their members. Also included are international bodies that influence the financial services sector within their regions.
Turn your financial data into insightful decisions with this straightforward guide to financial modeling with Excel Interested in learning how to build practical financial models and forecasts but concerned that you don't have the math skills or technical know-how? We've got you covered! Financial decision-making has never been easier than with Financial Modeling in Excel For Dummies. Whether you work at a mom-and-pop retail store or a multinational corporation, you can learn how to build budgets, project your profits into the future, model capital depreciation, value your assets, and more. You'll learn by doing as this book walks you through practical, hands-on exercises to help you build powerful models using just a regular version of Excel, which you've probably already got on your PC. You'll also: Master the tools and strategies that help you draw insights from numbers and data you've already got Build a successful financial model from scratch, or work with and modify an existing one to your liking Create new and unexpected business strategies with the ideas and conclusions you generate with scenario analysis Don't go buying specialized software or hiring that expensive consultant when you don't need either one. If you've got this book and a working version of Microsoft Excel, you've got all the tools you need to build sophisticated and useful financial models in no time!
Most books on Microsoft Excel for accounting and finance serve primarily academic research purposes: they are relatively unstructured and dominated by discussions of rather esoteric and infrequently used applications. None addresses the growing need for an introduction to crucial data analytic skills (i.e., analysis of 'big data') and to the recent innovations by Microsoft Excel in this regard, including Power Query (data cleaning and management), Power Pivot (advanced pivot tables using databases) and Power BI (creating executive KPI dashboards). In Financial Modeling for Decision Making: Using MS-Excel in Accounting and Finance, Ron Messer provides just such a practical, advanced-level guide to this essential program. Crucially, he focuses on using Excel in situations encountered by accounting and finance students and professionals, and he structures these in terms of the past, present and future in order to reflect a typical operating cycle, which includes initial planning, exercising control, and receiving feedback. Throughout this book, Messer discusses real-life applications of this important analytical tool, which has become the industry standard for spreadsheet software. For its clear structure and emphasis on practical usage, Financial Modeling for Decision Making is essential reading for accounting and finance professionals, as well as accounting and finance students in post-secondary institutions.
Financial Technology (Fintech) has revolutionized the financial world as one of the fastest-growing segments in both the technology and financial sectors. With the usage of underlying principles of Blockchain technology, Fintech is bringing the financial community together and making financial services accessible to everyone. Fintech has far-reaching implications for Islamic finance such as banking, investment, insurance (takaful) and wealth management, which are benefitting from this usage. This book provides a comprehensive review of how Fintech is shaping the Islamic finance industry through three key aspects: Digitalization, Development and Disruption. The book will provide insight on the Shariahtech (Fintech in line with Shariah principle) and its application in the Islamic finance industry. The book also gives an overview of Blockchain and Fintech evolution and how they act as the building blocks of the digital financial landscape. Readers of the book will also get a detailed discernment on the Islamic viewpoint on cryptocurrency as well as the application of the smart contract in different Islamic financial services. The book provides students, academics and researchers with a detailed description of the Blockchain and Fintech application in Islamic finance.
Wealth inequality has been not only rising at unsustainable pace but also dissociated from income inequality because of the fact that wealth is increasing without concomitant increase in savings and productive capital. Compelling evidence indicates that capital gains and other economic rents are mainly responsible for wealth inequality and its divergence from income inequality. The main argument of the book is that interest-based debt contracts are one of the drivers of wealth inequality through creating disproportional economic rents for the asset-rich. The book also introduces the idea of risk-sharing asset-based redistribution, which is a novel and viable policy proposal, as an effective redistribution tool to address the wealth inequality problem. Furthermore, a large-scale stock-flow consistent macroeconomic model, which is step by step constructed in the book, sheds light on the formation of wealth inequality in a debt-based economy and on the prospective benefits of implementing risk-sharing asset-based redistribution policy tools compared to traditional redistribution policy options. The research presented in this book is novel in many respects and first of its kind in the Islamic economics and finance literature.
This book presents the building blocks of Islamic economics as meso-science, offering an in-depth study of the Qur'anic worldview of the monotheistic unity of knowledge, which is the universal and unique message of Tawhid in the Qur'an. This primal ontological premise is formalised in an analytical approach that introduces and unpacks the philosophical concepts of ontology, epistemology, and phenomenology in relation to the Tawhidi methodological worldview. The analysis of Qur'anic logical consistency is then cast in a phenomenological perspective by applying the complete model of the unity of knowledge of the Qur'an in a specific study of the Tawhidi methodological approach to Islamic financial-economic theory. In doing so, it tackles the problems of meso-economics given its socio-scientific holism in world affairs. It hones in on the results of the symbiotic modulation of evolutionary learning processes in the world system of the unity of knowledge and its material embedding across knowledge, and knowledge-induced space and time dimensions. The author poses that Shari'ah is only partial in its scope, and excludes an analytical methodological worldview. Shari'ah is thus cast in the midst of a meso-socio-scientific absence of any appertaining methodology. The book is a landmark work in the conceptual and applied understanding of Tawhid as the methodological worldview of the monotheistic unity of knowledge in the meso-socio-scientific realm of 'everything', particularised to Islamic economics. Adopting an inter-disciplinary view integrating various fields, it challenges pervasive Western academic and institutional thinking in terms of economics. It will be of interest to students and researchers in Islamic economics, religious theory, Islamic philosophy, development studies, and finance.
This book summarizes recent Chinese discussions about Internet finance-a new financial business type resulting from an innovative thinking under the new normal-in the light of the actual situation of China in transformation, especially the thirst of the grass-roots economy including medium-small and micro-sized enterprises as well as residents for financial services. The Internet finance is of great significance for optimizing and upgrading the industrial structure, improving the demand structure and reshaping the economic growth mode in China. This book will interest scholars, journalists, and businesspeople.
This book takes a fresh look at understanding how financial markets behave. Using recent ideas from the highly-topical science of complexity and complex systems, the book provides the basis for a unified theoretical description of how today's markets really work. Since financial markets are an excellent example of a complex system, the book also doubles as a science textbook.
This book on counting statistics presents a novel copula-based approach to counting dependent random events. It combines clustering, combinatorics-based algorithms and dependence structure in order to tackle and simplify complex problems, without disregarding the hierarchy of or interconnections between the relevant variables. These problems typically arise in real-world applications and computations involving big data in finance, insurance and banking, where experts are confronted with counting variables in monitoring random events. In this new approach, combinatorial distributions of random events are the core element. In order to deal with the high-dimensional features of the problem, the combinatorial techniques are used together with a clustering approach, where groups of variables sharing common characteristics and similarities are identified and the dependence structure within groups is taken into account. The original problems can then be modeled using new classes of copulas, referred to here as clusterized copulas, which are essentially based on preliminary groupings of variables depending on suitable characteristics and hierarchical aspects. The book includes examples and real-world data applications, with a special focus on financial applications, where the new algorithms' performance is compared to alternative approaches and further analyzed. Given its scope, the book will be of interest to master students, PhD students and researchers whose work involves or can benefit from the innovative methodologies put forward here. It will also stimulate the empirical use of new approaches among professionals and practitioners in finance, insurance and banking. |
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