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Advanced Machine Learning Algorithms for Complex Financial Applications
The advancements in artificial intelligence and machine learning have significantly affected the way financial services are offered and adopted today. Important financial decisions such as investment decision making, macroeconomic analysis, and credit evaluation are becoming more complex within the field of finance. Artificial intelligence and machine learning, with their spectacular success accompanied by unprecedented accuracies, have become increasingly important in the finance world. Advanced Machine Learning Algorithms for Complex Financial Applications provides innovative research on the roles of artificial intelligence and machine learning algorithms in financial sectors with special reference to complex financial applications such as financial risk management in big data environments. In addition, the book addresses broad challenges in both theoretical and application aspects of artificial intelligence in the field of finance. Covering essential topics such as secure transactions, financial monitoring, and data modeling, this reference work is crucial for financial specialists, researchers, academicians, scholars, practitioners, instructors, and students.
Expert Systems in Finance
Throughout the industry, financial institutions seek to eliminate cumbersome authentication methods, such as PINs, passwords, and security questions, as these antiquated tactics prove increasingly weak. Thus, many organizations now aim to implement emerging technologies in an effort to validate identities with greater certainty. The near instantaneous nature of online banking, purchases, transactions, and payments puts tremendous pressure on banks to secure their operations and procedures. In order to reduce the risk of human error in financial domains, expert systems are seen to offer a great advantage in big data environments. Besides their efficiency in quantitative analysis such as profi...
Artificial Intelligence and Big Data for Financial Risk Management
This book presents a collection of high-quality contributions on the state-of-the-art in Artificial Intelligence and Big Data analysis as it relates to financial risk management applications. It brings together, in one place, the latest thinking on an emerging topic and includes principles, reviews, examples, and research directions. The book presents numerous specific use-cases throughout, showing practical applications of the concepts discussed. It looks at technologies such as eye movement analysis, data mining or mobile apps and examines how these technologies are applied by financial institutions, and how this affects both the institutions and the market. This work introduces students and aspiring practitioners to the subject of risk management in a structured manner. It is primarily aimed at researchers and students in finance and intelligent big data applications, such as intelligent information systems, smart economics and finance applications, and the internet of things in a marketing environment.
The 2021 International Conference on Smart Technologies and Systems for Internet of Things
This book contains papers presented at the 2021 International Conference on Smart Technologies and Systems for Internet of Things, held on November 26–27, 2021, in Shanghai, China. It covers topics like distributed processing for sensor data in CPS networks, approximate reasoning and pattern recognition for CPS networks, distributed processing in mobile networking, data analytics for social media sensor data integration, data platforms for efficient integration with CPS networks, virtualized and cloud-oriented resources for data processing for CPS networks, machine learning algorithms for CPS networks, data security and privacy in CPS networks, sensor fusion algorithms, sensor signal processing, data acquisition and preprocessing technology, intelligent computing, data mining methods and algorithms, big data system solutions and tools platform, intelligent control and intelligent management, and operational situation awareness utilizing big data-driven intelligence. It caters to postgraduate students, researchers, and practitioners specializing and working in related areas.
Distributed Sensing and Intelligent Systems
This book is the proceeding of the 1st International Conference on Distributed Sensing and Intelligent Systems (ICDSIS2020) which will be held in The National School of Applied Sciences of Agadir, Ibn Zohr University, Agadir, Morocco on February 01-03, 2020. ICDSIS2020 is co-organized by Computer Vision and Intelligent Systems Lab, University of North Texas, USA as a scientific collaboration event with The National School of Applied Sciences of Agadir, Ibn Zohr University. ICDSIS2020 aims to foster students, researchers, academicians and industry persons in the field of Computer and Information Science, Intelligent Systems, and Electronics and Communication Engineering in general. The volume...
Corporate Share Buybacks
This book integrates elements from agency theory and signalling theory and draws upon recent changes in the Australian payout policy and incentives pay for risk-averse employees to provide theoretical and empirical analyses that explain the paradox of the popularity of on-market stock buyback activities in a market environment characterised by reasonably high share prices. The authors utilise a dynamic model that rationalises this paradox, which is divided into three components. The first component predicts that executives may be conducting on-market stock buyback programmes (SBPs) to adjust equity-based remuneration for risk-averse employees, thereby motivating their performance without gra...
The Economics of Financial Services in Emerging Markets
Any enquiry into the nature, performance, role, demerits, growth, efficiency, or other aspects of financial services such as banking and insurance activities, requires rigorous estimates of their economic output, i.e., the economic contributions made by these firms, as well as by the industries as a whole. Accordingly, this book condenses several theoretical, methodological, empirical, and philosophical issues in conceptualizing, measuring, and empirically operationalizing the economic output of the banking and insurance industries. The analytical focus is on both Global and Emerging Markets perspectives. The book synthesizes applied and conceptual evidence to locate the chosen theme's analy...
Innovative Finance for Technological Progress
Innovative businesses and startups contribute to job creation, economic growth, and technological advancement in most countries. Finance helps nurture innovative firms like startups. Unfortunately, most startups and innovative projects cannot secure finance through the usual and conventional methods. This book goes beyond traditional financing to explore innovative ways to help finance startups and novel businesses. The book covers institutional innovation, innovation in products and processes, and the recent progress in financial innovations in various countries through empirical and case studies. It gives an in-depth look at regulatory, policy frameworks, and risk assessments for financial innovations. It also assesses the role of various innovations, including Fintech, machine learning, big data, scoring models, credit databases, digital platforms, credit guarantees in funding startups, and novel technologies. This book offers valuable insights into how policymakers can nurture a more conducive ecosystem for startups and technologies through innovative finance.
Understanding the Polish Capital Market
The first stock exchange in Warsaw – capital city of the Kingdom of Poland– was established in 1817. Over the past 205 years, the fortunes of the capital market have been closely linked to the "bumpy road" of Polish history. The establishment of the GPW Warsaw Stock Exchange in 1991 was a landmark for transformation from a centrally planned communist economy to a market-driven capitalist one. Since the doors of the exchange reopened, Polish GDP per capita (current USD) increased eight times, translating into an average yearly growth rate of over 7%. The capital market has played a pivotal role in the economic success of Poland over the last three decades. It is not easy to precisely quan...
Insurance Market Integration in the European Union
Insurance Market Integration in the European Union offers an in-depth analysis of the mechanisms of insurance market integration and measures the degrees of this integration. It examines the operation of the EU single financial market and, against this backdrop, the regulation relating to the insurance market. In addition, the book focuses on the specificity and determinants of international insurance market development and the issues with assimilation set against other financial market segments such as money market, credit-deposit and bond and equity. It discusses the advantages and disadvantages of insurance market integration on an international scale. The authors propose a unique approac...
