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Books > Money & Finance > General
This book gives a self-contained, intuitive overview of some of the most important topics of finance, such as investment risk, market pricing and market efficiency, arbitrage, hedging, and the pricing and application of financial derivatives. It provides a first-principles introduction to the relevant material and concepts, emphasising intuition. Financial terminology, and the understanding implicit therein, is carefully introduced. The books starts with finance in the most general terms, and gradually specialises to investment theory and then derivatives. This book is tailor-made for readers new to finance, such as graduate students entering or interested in finance, or financial practitioners moving to a more quantitative role.
This open access book provides a readable narrative of the bubbles and the banking crisis Japan experienced during the two decades between the late 1980s and the early 2000s. Japan, which was a leading competitor in the world's manufacturing sector, tried to transform itself into an economy with domestic demand-led mature growth, but the ensuing bubbles and crisis instead made the country suffer from chronicle deflation and stagnation. The book analyses why the Japanese authorities could not avoid making choices that led to this outcome. The chapters are based on the lectures to regulators from emerging economies delivered at the Global Financial Partnership Center of the Financial Services Agency of Japan.
This book considers the extent to which innovation and entrepreneurship are engines of economic prosperity. It brings together theorists and empiricists from diverse backgrounds to provides a comprehensive overview of the field of entrepreneurship, focusing specifically on entrepreneurial developments within Turkey and the surrounding regions and Europe. It looks at innovation, creativity, economic development and women's empowerment. This book considers the for-profit and the not-for-profit sectors, and examines outcome metrics such as change, sustainability and employment, in addition to economic value. This book will inspire academics and students to better understand the origins, evolution and impact of new ideas, new organizations, and new industries, and the impact on the economy. This book offers an excellent foundation for investigating and questioning current entrepreneurial practices across developed economies. It will also provide the foundations for researching and evaluating new and existing approaches to emerging technologies. Additionally, the book will offer useful insights into the real world, and will appeal to academics in economics and business as well as those studying entrepreneurship on the international scene.
Extensively revised to reflect the dramatic shifts and consolidation of the financial markets, the seventh edition of this highly regarded book provides a clear and incisive guide to a complex world that even those who work in it often find hard to understand. With chapters on the markets that deal with money, foreign exchange, equities, bonds, commodities, financial futures, options and other derivatives, it looks at why these markets exist, how they work and who trades in them, and it gives a run-down of the factors that affect prices and rates. Business history is littered with disasters that occurred because people involved their firms with financial instruments they didn't properly understand. If they had had this book they might have avoided their mistakes. For anyone wishing to understand financial markets, there is no better guide.
This book focuses on traditional fields of business studies and economics and how digitalization has affected them. It provides an overview about the lessons learned from academic research and highlights implications for practitioners. Digitalization has not only changed the ways business administration and economics are taught, but also the substance at the core of the two disciplines. Chapters from expert contributors define and carefully evaluate the developments that have occurred over the last decades. The authors further provide an assessment of how industry branches have adapted and in which form regulators have engaged. Attention is given to the theoretical and empirical findings from recent scholarly literature. Furthermore, the authors provide some novel insights from their own research at the University of Bremen. This book appeals to business administration, economics, and entrepreneurship scholars and practitioners alike.
This book constitutes a selection of the best papers from the 15th International Conference on Business Excellence, Digital Economy and New Value Creation, ICBE 2021, held in Bucharest, Romania, in March 2021. This book is a collection of research findings and perspectives related to the digital economy and new value creation, led by the set of improvements and changes in the economic, societal and technological structures and processes towards the effort of reaching the sustainability goals.
This 12th volume in the series discusses a variety of topics in the field of research in international business and finance.
The business of credit ratings began in the United States in the
early 1900s. Over time, credit ratings have gradually taken on an
expanding role, both in the United States and abroad and in
official financial market regulation as well as in private capital
market decisions. However, in 1999 the Bank for International
Settlements (through its Committee on Banking Supervision) proposed
rule changes that would provide an explicit role for credit ratings
in determining a bank's required regulatory risk capital. Once
implemented, this BIS proposal (often referred to as Basel 2) would
vastly elevate the importance of credit ratings by linking the
required measure of bank capital to the credit rating of the bank's
obligors. With these regulatory changes under active discussion,
research into the role for ratings and rating agencies in the
global financial system is particularly apropos.
The global markets continue to be volatile and the overall economy remains uncertain. In this environment, it's more important than ever to get familiar with risk management principles and seek out alternative investment strategies carefully to maintain and grow your capital. Written by Raghurami Reddy Etukuru, MBA, CAIA, FRM, PRM, this guidebook introduces you to various alternative investments and risk management concepts in straightforward language. For instance, hedge funds are often seen as risky investments, but they actually provide greater diversification than traditional common stocks. If you engage in the proper hedge fund strategy, you'll also find less volatility. In addition to hedge funds, you will find information and guidance on various phases of due diligence; risk metrics, quantitative models and exotic options; commodities, managed futures, private equities, and real estate; brokers, auditors, and legal counsel. Get the information you need to make informed decisions about your own finances. Whether you are a businessperson, student, analyst it's imperative for you to develop a deeper understanding of "Alternative Investment Strategies and Risk Management."
Financial analysis, modellng, simulation and knowledge engineering have become essential to the survival of every enterprise. This thorough and comprehensive book looks at the development and use of financial models for analysis and decision-making, showing the reader how to apply these methods in his or her own work.
This book on Applied Operations Research and Financial Modelling in Energy (AORFME) presents several applications of operations research (OR) and financial modelling. The contributions by a group of OR and Finance researchers focus on a variety of energy decisions, presenting a quantitative perspective, and providing policy implications of the proposed or applied methodologies. The content is divided into three main parts: Applied OR I: Optimization Approaches, Applied OR II: Forecasting Approaches and Financial Modelling: Impacts of Energy Policies and Developments in Energy Markets. The book appeals to scholars in economics, finance and operations research, and to practitioners working in the energy sector. This is the eighth volume in a series of books on energy organized by the Centre for Energy and Value Issues (CEVI). For this volume, CEVI collaborated with Hacettepe University's Energy Markets Research and Application Center. The previous volumes in the series are: Financial Aspects in Energy (2011), Energy Economics and Financial Markets (2012), Perspectives on Energy Risk (2014), Energy Technology and Valuation Issues (2015), Energy and Finance (2016), Energy Economy, Finance and Geostrategy (2018), and Financial Implications of Regulations in the Energy Industry (2020).
This book defines and develops the concept of data capital. Using an interdisciplinary perspective, this book focuses on the key features of the data economy, systematically presenting the economic aspects of data science. The book (1) introduces an alternative interpretation on economists' observation of which capital has changed radically since the twentieth century; (2) elaborates on the composition of data capital and it as a factor of production; (3) describes morphological changes in data capital that influence its accumulation and circulation; (4) explains the rise of data capital as an underappreciated cause of phenomena from data sovereign, economic inequality, to stagnating productivity; (5) discusses hopes and challenges for industrial circles, the government and academia when an intangible wealth brought by data (and information or knowledge as well); (6) proposes the development of criteria for measuring regulating data capital in the twenty-first century for regulatory purposes by looking at the prospects for data capital and possible impact on future society. Providing the first a thorough introduction to the theory of data as capital, this book will be useful for those studying economics, data science, and business, as well as those in the financial industry who own, control, or wish to work with data resources.
BUSINESS / SELF-HELP " Wattles offers techniques for getting in tune with one' s deeper self and thus creating a channel of communication between oneself and universal energy. His is a gentle philosophy that excludes competition, cheating, and lording it over one' s fellows when one has made it, and encourages cooperation." --Publisher' s Weekly In his bestselling book, Wallace D. Wattles explains that " universal mind" underlies and permeates all creation. Through the process of visualization, we can engage the law of attraction--impressing our thoughts upon " formless substance" and bringing the desired object or circumstances into material form. The author emphasizes the critical importance of attitude: only by aligning ourselves with the positive forces of natural law can we gain unlimited access to the creative mind and its abundant rewards.The Science of Getting Rich holds the secret to how economic and emotional security can be achieved in a practical, imaginative, and noncompetitive way, while maintaining a loving and harmonious relationship with all of life. By living in accordance with the positive principles outlined in this book, we can find our rightful place in the cosmic scheme and create for ourselves an environment in which to grow in wealth, wisdom, and happiness.WALLACE DELOIS WATTLES (1860-1911) was the author of numerous books, the best known of which is The Science of Getting Rich. He experienced failure after failure in his early life until after many years of study and experimentation he formulated a set of principles that, with scientific precision, create financial and spiritual wealth. He died a prosperousman in 1911.
This book presents the state-of-the-art applications of machine learning in the finance domain with a focus on financial product modeling, which aims to advance the model performance and minimize risk and uncertainty. It provides both practical and managerial implications of financial and managerial decision support systems which capture a broad range of financial data traits. It also serves as a guide for the implementation of risk-adjusted financial product pricing systems, while adding a significant supplement to the financial literacy of the investigated study. The book covers advanced machine learning techniques, such as Support Vector Machine, Neural Networks, Random Forest, K-Nearest Neighbors, Extreme Learning Machine, Deep Learning Approaches, and their application to finance datasets. It also leverages real-world financial instances to practice business product modeling and data analysis. Software code, such as MATLAB, Python and/or R including datasets within a broad range of financial domain are included for more rigorous practice. The book primarily aims at providing graduate students and researchers with a roadmap for financial data analysis. It is also intended for a broad audience, including academics, professional financial analysts, and policy-makers who are involved in forecasting, modeling, trading, risk management, economics, credit risk, and portfolio management.
This book explores three particular strategies in the extractives sector for creating shared wealth, increased labour opportunities and positive social, environmental and economic outcomes from corporate projects, namely: state wealth funds (SWF), local content policies (LCP) and corporate social responsibility (CSR) practices. Collectively, the chapters explore the associated experiences and challenges in different parts of the world with the view to inform equitable and sustainable development for the communities living adjacent to extractives sites and the wider society and environment. Examples of LCPs, SWFs and CSR practices from 12 jurisdictions with diverse experiences offer usefull insights. The book illuminates challenges and opportunities for sustainable development outcomes of the extractives sector. It reflects the need to take on board the lessons of these global experiences in order to improve outcomes for poverty reduction, inequality reduction and sustainable development.
This book provides a comprehensive review of the Measures for Administration of Takeover of Chinese Listed Companies (the Chinese takeover law), with emphasis on the differences between the Chinese takeover law and takeover legislation in the UK, the US and Hong Kong. The Chinese M&A market has been booming at an unprecedented rate in recent years; not only domestic investors, but also foreign funds and multinational companies are actively participating on the market. For both market participants and researchers, it is crucial to understand the emerging and transitional aspects of the Chinese economy and its M&A market, and the impacts of those aspects on relevant laws. While there are ongoing academic discussions on the convergence between the Chinese takeover law and its counterparts in the UK, Hong Kong and the US, this book offers a comprehensive discussion of the divergence and focuses on key differences in the transplanted Chinese takeover law.
'The definitive account of the history of poverty finance' - Susanne Soederberg Finance, mobile and digital technologies - or 'fintech' - are being heralded in the world of development by the likes of the IMF and World Bank as a silver bullet in the fight against poverty. But should we believe the hype? A Critical History of Poverty Finance demonstrates how newfangled 'digital financial inclusion' efforts suffer from the same essential flaws as earlier iterations of neoliberal 'financial inclusion'. Relying on artificially created markets that simply aren't there among the world's most disadvantaged economic actors, they also reinforce existing patterns of inequality and uneven development, many of which date back to the colonial era. Bernards offers an astute analysis of the current fintech fad, contextualised through a detailed colonial history of development finance, that ultimately reveals the neoliberal vision of poverty alleviation for the pipe dream it is.
Equivalence in Financial Services offers a comprehensive and cross-industry examination of the rules and procedures under EU financial legislation dedicated to third-country market actors. The equivalence regime has become particularly topical after Brexit, as the United Kingdom is now a third country from the perspective of the European Union. This book investigates whether the current equivalence system is fit for its purpose, namely facilitating cross-border finance while minimizing as extensively as possible financial risks. After describing how the European Commission adopts equivalence measures, the book examines the implementation of the equivalence regime for the following entities: Credit Rating Agencies, Benchmarks, Trading Venues, Investment Firms, Investment Funds, Central Securities Depositories, Trade Repositories, and Central Counterparties. Addressing the most recent policy and legal developments, Equivalence in Financial Services provides an insightful guide into this complex area of financial regulation for scholars of financial regulation, legal practitioners, and policy makers.
Stochastic Simulation and Applications in Finance with MATLAB Programs explains the fundamentals of Monte Carlo simulation techniques, their use in the numerical resolution of stochastic differential equations and their current applications in finance. Building on an integrated approach, it provides a pedagogical treatment of the need-to-know materials in risk management and financial engineering. The book takes readers through the basic concepts, covering the most recent research and problems in the area, including: the quadratic re-sampling technique, the Least Squared Method, the dynamic programming and Stratified State Aggregation technique to price American options, the extreme value simulation technique to price exotic options and the retrieval of volatility method to estimate Greeks. The authors also present modern term structure of interest rate models and pricing swaptions with the BGM market model, and give a full explanation of corporate securities valuation and credit risk based on the structural approach of Merton. Case studies on financial guarantees illustrate how to implement the simulation techniques in pricing and hedging. The book also includes an accompanying CD-ROM which provides MATLAB programs for the practical examples and case studies, which will give the reader confidence in using and adapting specific ways to solve problems involving stochastic processes in finance. "This book provides a very useful set of tools for those who are interested in the simulation method of asset pricing and its implementation with MatLab. It is pitched at just the right level for anyone who seeks to learn about this fascinating area of finance. The collection of specific topics thoughtfully selected by the authors, such as credit risk, loan guarantee and value-at-risk, is an additional nice feature, making it a great source of reference for researchers and practitioners. The book is a valuable contribution to the fast growing area of quantitative finance." -Tan Wang, Sauder School of Business, UBC " This book is a good companion to text books on theory, so if you want to get straight to the meat of implementing the classical quantitative finance models here's the answer. " -Paul Wilmott, wilmott.com " This powerful book is a comprehensive guide for Monte Carlo methods in finance. Every quant knows that one of the biggest issues in finance is to well understand the mathematical framework in order to translate it in programming code. Look at the chapter on Quasi Monte Carlo or the paragraph on variance reduction techniques and you will see that Huu Tue Huynh, Van Son Lai and Issouf Soumare have done a very good job in order to provide a bridge between the complex mathematics used in finance and the programming implementation. Because it adopts both theoretical and practical point of views with a lot of applications, because it treats about some sophisticated financial problems (like Brownian bridges, jump processes, exotic options pricing or Longstaff-Schwartz methods) and because it is easy to understand, this handbook is valuable for academics, students and financial engineers who want to learn the computational aspects of simulations in finance. " -Thierry Roncalli, Head of Investment Products and Strategies, SGAM Alternative Investments & Professor of Finance, University of Evry
COVID-19 has spread around the world, causing tremendous structural change, and severely affecting global supply chains and financial operations. As such there is a need for analytic tools help deal with the impact of the pandemic on the world's economies; these tools are not panaceas and certainly won't cure the problems faced, but they offer a means to aid governments, firms, and individuals in coping with specific problems. This book provides an overview of the COVID-19 pandemic and evaluates its effect on financial and supply chain operations. It then discusses epidemic modeling, presenting sources of quantitative and text data, and describing how models are used to illustrate the pandemic impact on supply chains, macroeconomic performance on financial operations. It highlights the specific experiences of the banking system, which offers predictions of the impact on the Swedish banking sector. Further, it examines models related to pandemic planning, such as evaluation of financial contagion, debt risk analysis, and health system efficiency performance, and addresses specific models of pandemic parameters. The book demonstrates various tools using available data on the ongoing COVID-19 pandemic. While it includes some citations, it focuses on describing the methods and explaining how they work, rather than on theory. The data sets and software presented were all selected on the basis of their widespread availability to any reader with computer links.
The study analyses the effects of the EU enlargement on the capital markets in the most advanced countries of Central and Eastern Europe and Russia. It also investigates the impacts on the interactions between Eastern and Western capital markets that are due to the ongoing integration process. Therefore, the study should be particularly useful for financial analysts, institutional investors and academic researchers who are interested in the economic and institutional developments of capital markets in CEE countries and are looking for a thorough and comprehensive analysis of the future perspectives of these capital markets.
This book explains the theoretical structure of particle swarm optimization (PSO) and focuses on the application of PSO to portfolio optimization problems. The general goal of portfolio optimization is to find a solution that provides the highest expected return at each level of portfolio risk. According to H. Markowitz's portfolio selection theory, as new assets are added to an investment portfolio, the total risk of the portfolio's decreases depending on the correlations of asset returns, while the expected return on the portfolio represents the weighted average of the expected returns for each asset. The book explains PSO in detail and demonstrates how to implement Markowitz's portfolio optimization approach using PSO. In addition, it expands on the Markowitz model and seeks to improve the solution-finding process with the aid of various algorithms. In short, the book provides researchers, teachers, engineers, managers and practitioners with many tools they need to apply the PSO technique to portfolio optimization.
This book provides a critical analysis of the evolution of corporate disclosure. Building upon prior academic literature, it assesses the most important changes in mandatory corporate disclosure, the growing relevance of social and environmental disclosure, and revolutionary new forms of corporate communication, in particular social media. It also includes empirical analyses that shed further light on the impact of voluntary communication, i.e. social and environmental reporting and corporate social media communication, on managerial and investment decisions. Lastly, it discusses new directions for accounting and corporate governance research on the theoretical and empirical challenges of corporate disclosure. Offering a wealth of relevant and timely advice, the book will help regulators design policies that allow businesses to overcome current and emerging economic, social, and technological challenges.
This book analyses the use of qualitative and quantitative content analysis methodologies for risk disclosure practices in the European banking industry. While doing so, it assesses the level of transparency of financial and non-financial reports by focusing on the information disclosed to the public with reference to risk exposure and management. By drawing upon both qualitative and quantitative techniques, the book proposes two different methodological approaches to assess the information European financial institutions provide to the public with reference to the risk disclosure and derivative disclosure in their annual financial reports. These methodologies are subsequently employed to carry out empirical analyses on samples of European banks. By exploiting the points of strength of both qualitative and quantitative content analysis methodologies, this book offers insights into the advantages and disadvantages of these methodologies. The book is a must-read for academics and researchers that analyze disclosure practices of financial and non-financial firms, as well as financial analysts and other practitioners that are interested in assessing the level of transparency and evaluating the disclosures of financial and non-financial firms, especially, but not exclusively, with reference to risk disclosure and derivative disclosure.
From the early forms of loans to farmers up to present day credit
cards, consumer credit has always been part of human life; however,
ever since the Bible, controversy has reigned as to its legitimacy.
It is the history of this controversy that is presented here.
Outlining significant developments in different aspects of consumer
credit from the Hammurabi Code through to current questions such as
household overindebtedness, the authors shed historical light on
modern debates. |
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