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Building a Cashless Society : The Swedish Route to the Future of Cash Payments

This book tells the story of how Sweden is becoming a virtually cashless society. Its goal is to improve readers’ understanding of what is driving this transition, and of the factors that are fostering and hampering it. In doing so, the book covers the role of central banks, political factors, needs for innovation, and the stakeholders involved in developing a cashless ecosystem. Adopting a historical standpoint, and drawing on a unique dataset, it presents an academic perspective on Sweden’s leading role in this global trend. The global interest in the future of cash payments makes the Swedish case particularly interesting. As a country that is close to becoming a cashless economy, it offers a role model for many other countries to learn from - whether they want to stimulate or reduce the use of cash. This highly topical book will be of interest to politicians, researchers, businesses, financial service providers and payment service providers, as well as fintech start-ups, regulators and other authorities.

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Blockchain, artificial intelligence and financial services : Implications and applications for finance and accounting professionals

Blockchain technology and artificial intelligence (AI) have the potential to transform how the accounting and financial services industries engage with the business, stakeholder and consumer communities. Presenting a blend of technical analysis with current and future applications, this book provides professionals with an action plan to embrace and move forward with these new technologies in financial and accounting organizations.

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Bio-inspired credit risk analysis : Computational intelligence with support vector machines

Credit risk analysis is one of the most important topics in the field of financial risk management. Due to recent financial crises and regulatory concern of Basel II, credit risk analysis has been the major focus of financial and banking industry. Especially for some credit-granting institutions such as commercial banks and credit companies, the ability to discriminate good customers from bad ones is crucial. The need for reliable quantitative models that predict defaults accurately is imperative so that the interested parties can take either preventive or corrective action. Hence credit risk analysis becomes very important for sustainability and profit of enterprises. In such backgrounds, this book tries to integrate recent emerging support vector machines and other computational intelligence techniques that replicate the principles of bio-inspired information processing to create some innovative methodologies for credit risk analysis and to provide decision support information for interested parties.

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Big Data Science in Finance

Explains the mathematics, theory, and methods of Big Data as applied to finance and investing Examines the mathematics, theory, and practical use of the revolutionary techniques that are transforming the industry. Designed for mathematically-advanced students and discerning financial practitioners alike, this energizing book presents new, cutting-edge content based on world-class research taught in the leading Financial Mathematics and Engineering programs in the world. Marco Avellaneda, a leader in quantitative finance, and quantitative methodology author Irene Aldridge help readers harness the power of Big Data. Provides a complete account of Big Data that includes proofs, step-by-step applications, and code samples Explains the difference between Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) Covers vital topics in the field in a clear, straightforward manner Compares, contrasts, and discusses Big Data and Small Data Includes Cornell University-tested educational materials such as lesson plans, end-of-chapter questions, and downloadable lecture slides

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Behavioral finance and your portfolio : A navigation guide for building wealth

Designed for investors who are serious about maximizing their gains, in this book you’ll discover how to: ● Take control of your decision-making—even when challenging markets push greed and fear to intolerable levels ● Reflect on how to make investment decisions using data-backed and substantiated information instead of emotion and bias ● Counter deep-seated biases like loss aversion, hindsight and overconfidence with self-awareness and hard facts ● Identify your personal investment psychology profile, which you can use to inform your future financial decision making

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Bargaining Power Effects in Financial Contracting : A Joint Analysis of Contract Type and Placement Mode Choices

The aim of this dissertation is to examine bargaining power effects in financial contracting. In particular power effects on firms' choices of contract type (debt vs. equity) and placement mode (public offering vs. private placement)

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Banks and shareholder value : An overview of bank valuation and empirical evidence on shareholder value for banks

In the German banking sector, management is continually increasing its focus on shareholder interests. This can be seen in the ambitious profitability targets set by management in this sector. Some municipalities are also putting increasing pressure on Landesbanks and saving banks, as members of the largest German banking group, to create greater financial value.

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Banks and fintech on platform economies : Contextual and conscious banking

In Banks and Fintech on Platform Economies: Contextual and Conscious Banking, accomplished fintech professional and author Paolo Sironi delivers an insightful examination of how platform theory, born outside of financial services, will make its way inside banking and financial markets to radically transform the way firms do business.

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Banking Sector Liberalization in India : Evaluation of Reforms and Comparative Perspectives on China

Banking Sector Liberalization in India explores in detail the changes in the Indian banking sector over the last 20 years, and puts them into a comparative perspective with the Chinese banking sector. For this purpose, the author develops a detailed indicator-based framework for assessing the liberalization of a banking sector along various process steps based on financial liberalization and transformation studies. This framework, along with the indicators for the process and the results of liberalization, is applied to the banking sectors in India and China to test for the effects of liberalization on the sector and the macro level. The key finding is that while liberalization has improved the sectoral performance, it has so far had no effect on the macro level. The book features a detailed description of recent reforms in the Indian banking sector, a set of indicators for evaluating banking sector reforms, and a large number of graphs with key figures for the banking sectors in India and China.

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Banking on (artificial) intelligence : Navigating the realities of ai in financial services

Provides a tailored overview of what AI specifically means for financial services, a highly regulated yet also disrupted industry. it investigates the current state of AI applications in financial services today along with the state of funding and partnerships between tech and banking industries. it also examines the key pillars of responsible AI and the importance of keeping humans in the loop. the book takes a deep dive into the use cases in the financial services industry, the challenges and opportunities, and the fragmented regulatory landscape. how can we effectively assess risks, and balance innovation and customer centricity with trust in AI in financial services? can smaller organizations reap the benefits of the technology? how can institutions deploy AI responsibly and securely, and promote a fairer and more equitable future for more people?

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Banking for Family Business: A New Challenge for Wealth Management

Hints of globalization have actually been around for several decades, even though they made only a modest impact; however, the availability of global capital and advances in communication technology have emp- sized the process of internationalization and the tools available to connect and integrate business activities to answer to more complex needs of c- ents. Moreover, the financial scandals and the review of mutual fund trade activity in the US by the Attorney General Elliot Spitzer have highlighted the importance to focus all efforts on renewing the confidence of prof- sional investors and their clients who have entrusted their capital to asset managers. Therefore, there is a growing need in the market to reinforce the concept of “Shared Positive Values” among the entire industry and among its stakeholders.

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Asset Sales : Their Role in Restructuring and Financing Firms

Examines the corporate asset market and the mechanisms of asset sale transactions. The book then focuses on the theory of finance in asset sales (the efficiency and financing theory) and the extensive empirical literature now available. In light of recent and rapid technological and digital advances, the last section presents new perspectives on analyzing asset sales transactions. Chiefly intended as a primer for PhD students and academics, the book offers a road map of the empirical research landscape and suggests future research directions.

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Asset prices, booms and recessions : Financial economics from a dynamic perspective

Studies the interaction of the financial market, economic activity and the macroeconomy from a dynamic perspective. The financial market to be studied here encompasses the money and bond market, credit market, stock market and foreign exchange market. Economic activity is described by the activity of firms, banks, households, governments and countries. The book shows how economic activity affects asset prices and the financial market and how asset prices and financial market volatility feed back to economic activity. The focus in this book is on theories, dynamic models and empirical evidence.

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Asias New Institutional Architecture : Evolving Structures for Managing Trade, Financial, and Security Relations

This book investigates the origins and evolution of Asia’s new institutional architecture in trade, finance, and security from both a theoretical and empirical perspective. The traditional institutional equilibrium in Asia has come under heavy strain in the "post triple shocks period" - the post-Cold War, the post-financial crisis of 1997-98, and the post-9-11 attacks. The new dynamics of rivalry and cooperation among states at both the intraregional and transregional levels is now shaping a new institutional architecture. Political and business leaders from Northeast and Southeast Asia interact with each other more frequently. South Asia’s participation in the rest of Asia in recent years is truly impressive. As we show, the future institutional trajectory of Asia is still open, but we believe that the book provides a timely examination of key shifts in the region. In doing so, our hope is to provide policymakers and analysts with an institutional road map for the future.

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Asian economy and finance : A post-crisis perspective

Topicality of Asian economy has refused to fade for almost four decades; if anything it has been levitating. The Asian economy has changed markedly since the economic and financial crisis of 1997-1998 and is continuing to evolve. As a scholarly subject matter, Asian economy has not stopped attracting academicians, policy mandarins, decision makers in the arena of business and students of Asian economy. The Asian crisis was a cataclysmic event for the region and brought to the surface several systemic limitations, like those in the financial sector, corporate governance, regulatory oversight, legal framework, and exchange rate management. Managers of Asian economy need to get to the bottom of these acutely problematical systemic issues. Additionally, Asian economies need to change with the demands of time and devise their post-crisis development strategy. Asia’s growth model, that served it so well for four decades, is overdue for renewal so that it can re-strengthen its bonds with the ever-evolving regional and global economic reality. The old growth model is likely to be less relevant and effective in the post-crisis future of the Asian economies. It is sure to run into the wall of diminishing returns.

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Artificial intelligence for asset management and investment : A strategic perspective

The rise of artificial intelligence is nothing short of a technological revolution. AI is poised to completely transform asset management and investment banking, yet its current application within the financial sector is limited and fragmented. Existing AI implementations tend to solve very narrow business issues, rather than serving as a powerful tech framework for next-generation finance. Artificial Intelligence for Asset Management and Investment provides a strategic viewpoint on how AI can be comprehensively integrated within investment finance, leading to evolved performance in compliance, management, customer service, and beyond.

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Artificial Intelligence and COVID Effect on Accounting

This book considers the effects of COVID-19 on accounting, particularly with regard to the role of artificial intelligence in accounting in the post-pandemic business environment. The contributions in the book consider a variety of sectors that have been affected by the pandemic, such as the stock market, forensic accounting, Bitcoin, as well as the economic and educational responses to the pandemic and the aftermath felt by both developing and developed countries.

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Applications of computational intelligence in data-driven trading

The main purpose of this book is pedagogical in nature, and it is specifically aimed at defining an adequate level of engineering and scientific clarity when it comes to the usage of the term “Artificial Intelligence,” especially as it relates to the financial industry.

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Agent-based modeling : The Santa Fe Institute artificial stock market model revisited

An excellent reference to both the learning, and empirical literature in finance." (Krzysztof Piasecki, Zentralblatt MATH, Vol. 1141, 2008) "Norman Ehrentreich was one of the daring few to take on the model, and he has summarized his work and findings in this excellent book. … It is useful primer for anyone interested in getting started in the area of agent-based finance. … It is essential reading for anyone interested in the dynamics of the SFI market in particular, but I also recommend it for others as a useful resource on agent-based financial market design as well." (Blake LeBaron, Journal of Artificial Societies and Social Simulation, Vol. 12 (2), March, 2009)

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Advanced REIT Portfolio Optimization : Innovative Tools for Risk Management

This book provides an investor-friendly presentation of the premises and applications of the quantitative finance models governing investment in one asset class of publicly traded stocks, specifically real estate investment trusts (REITs). The models provide highly advanced analytics for REIT investment, including: portfolio optimization using both historic and predictive return estimation; model backtesting; a complete spectrum of risk assessment and management tools with an emphasis on early warning systems, risk budgeting, estimating tail risk, and factor analysis; derivative valuation; and incorporating ESG ratings into REIT investment.

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