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| financial technology and analytics: Financial Data Analytics Sinem Derindere Köseoğlu, 2022-04-25 This book presents both theory of financial data analytics, as well as comprehensive insights into the application of financial data analytics techniques in real financial world situations. It offers solutions on how to logically analyze the enormous amount of structured and unstructured data generated every moment in the finance sector. This data can be used by companies, organizations, and investors to create strategies, as the finance sector rapidly moves towards data-driven optimization. This book provides an efficient resource, addressing all applications of data analytics in the finance sector. International experts from around the globe cover the most important subjects in finance, including data processing, knowledge management, machine learning models, data modeling, visualization, optimization for financial problems, financial econometrics, financial time series analysis, project management, and decision making. The authors provide empirical evidence as examples of specific topics. By combining both applications and theory, the book offers a holistic approach. Therefore, it is a must-read for researchers and scholars of financial economics and finance, as well as practitioners interested in a better understanding of financial data analytics. |
| financial technology and analytics: The REGTECH Book Janos Barberis, Douglas W. Arner, Ross P. Buckley, 2019-08-06 The Regulatory Technology Handbook The transformational potential of RegTech has been confirmed in recent years with US$1.2 billion invested in start-ups (2017) and an expected additional spending of US$100 billion by 2020. Regulatory technology will not only provide efficiency gains for compliance and reporting functions, it will radically change market structure and supervision. This book, the first of its kind, is providing a comprehensive and invaluable source of information aimed at corporates, regulators, compliance professionals, start-ups and policy makers. The REGTECH Book brings into a single volume the curated industry expertise delivered by subject matter experts. It serves as a single reference point to understand the RegTech eco-system and its impact on the industry. Readers will learn foundational notions such as: • The economic impact of digitization and datafication of regulation • How new technologies (Artificial Intelligence, Blockchain) are applied to compliance • Business use cases of RegTech for cost-reduction and new product origination • The future regulatory landscape affecting financial institutions, technology companies and other industries Edited by world-class academics and written by compliance professionals, regulators, entrepreneurs and business leaders, the RegTech Book represents an invaluable resource that paves the way for 21st century regulatory innovation. |
| financial technology and analytics: Financial Analytics with R Mark J. Bennett, Dirk L. Hugen, 2016-10-06 Financial Analytics with R sharpens readers' skills in time-series, forecasting, portfolio selection, covariance clustering, prediction, and derivative securities. |
| financial technology and analytics: The Handbook of News Analytics in Finance Gautam Mitra, Leela Mitra, 2011-07-13 The Handbook of News Analytics in Finance is a landmarkpublication bringing together the latest models and applications ofNews Analytics for asset pricing, portfolio construction, tradingand risk control. The content of the Hand Book is organised to provide arapid yet comprehensive understanding of this topic. Chapter 1 setsout an overview of News Analytics (NA) with an explanation of thetechnology and applications. The rest of the chapters are presentedin four parts. Part 1 contains an explanation of methods and modelswhich are used to measure and quantify news sentiment. In Part 2the relationship between news events and discovery of abnormalreturns (the elusive alpha) is discussed in detail by the leadingresearchers and industry experts. The material in this part alsocovers potential application of NA to trading and fund management.Part 3 covers the use of quantified news for the purpose ofmonitoring, early diagnostics and risk control. Part 4 is entirelyindustry focused; it contains insights of experts from leadingtechnology (content) vendors. It also contains a discussion oftechnologies and finally a compact directory of content vendor andfinancial analytics companies in the marketplace of NA. Thebook draws equally upon the expertise of academics andpractitioners who have developed these models and is supported bytwo major content vendors - RavenPack and Thomson Reuters - leadingproviders of news analytics software and machine readablenews. The book will appeal to decision makers in the banking, finance andinsurance services industry. In particular: asset managers;quantitative fund managers; hedge fund managers; algorithmictraders; proprietary (program) trading desks; sell-side firms;brokerage houses; risk managers and research departments willbenefit from the unique insights into this new and pertinent areaof financial modelling. |
| financial technology and analytics: Fintech with Artificial Intelligence, Big Data, and Blockchain Paul Moon Sub Choi, Seth H. Huang, 2021-03-08 This book introduces readers to recent advancements in financial technologies. The contents cover some of the state-of-the-art fields in financial technology, practice, and research associated with artificial intelligence, big data, and blockchain—all of which are transforming the nature of how products and services are designed and delivered, making less adaptable institutions fast become obsolete. The book provides the fundamental framework, research insights, and empirical evidence in the efficacy of these new technologies, employing practical and academic approaches to help professionals and academics reach innovative solutions and grow competitive strengths. |
| financial technology and analytics: FinTech Innovation Paolo Sironi, 2016-07-19 A survival guide for the FinTech era of banking FinTech Innovation examines the rise of financial technology and its growing impact on the global banking industry. Wealth managers are standing at the epicenter of a tectonic shift, as the balance of power between offering and demand undergoes a dramatic upheaval. Regulators are pushing toward a 'constrained offering' norm while private clients and independent advisors demand a more proactive role; practitioners need examine this banking evolution in detail to understand the mechanisms at work. This book presents analysis of the current shift and offers clear insight into what happens when established economic interests collide with social transformation. Business models are changing in profound ways, and the impact reaches further than many expect; the democratization of banking is revolutionizing the wealth management industry toward more efficient and client-centric advisory processes, and keeping pace with these changes has become a survival skill for financial advisors around the world. Social media, big data analytics and digital technology are disrupting the banking industry, which many have taken for granted as set in stone. This book shatters that assumption by illustrating the massive changes already underway, and provides thought leader insight into the changes yet to come. Examine the depth and breadth of financial technology Learn how regulations are driving changing business models Discover why investors may become the price-makers Understand the forces at work behind the rise of FinTech Information asymmetry has dominated the banking industry for centuries, keeping the bank/investor liability neatly aligned—but this is changing, and understanding and preparing for the repercussions must be a top priority for wealth managers everywhere. Financial Innovation shows you where the bar is being re-set and gives you the insight you need to keep up. |
| financial technology and analytics: Disrupting Finance Theo Lynn, John G. Mooney, Pierangelo Rosati, Mark Cummins, 2018-12-06 This open access Pivot demonstrates how a variety of technologies act as innovation catalysts within the banking and financial services sector. Traditional banks and financial services are under increasing competition from global IT companies such as Google, Apple, Amazon and PayPal whilst facing pressure from investors to reduce costs, increase agility and improve customer retention. Technologies such as blockchain, cloud computing, mobile technologies, big data analytics and social media therefore have perhaps more potential in this industry and area of business than any other. This book defines a fintech ecosystem for the 21st century, providing a state-of-the art review of current literature, suggesting avenues for new research and offering perspectives from business, technology and industry. |
| financial technology and analytics: Financial Technology Niels Pedersen, 2020-12-03 Fintech continues to revolutionize financial services. Financial Technology shows you how to navigate this increasingly de-centralized, personalized and automated environment. This new textbook strikes a balance between academic depth and commercial relevance in examining the advantages and challenges of these changes through the lens of various analytical frameworks. Financial Technology demystifies key technologies, such as blockchains, APIs, AI, machine learning, and cloud computing, in a clear and accessible style suitable for readers with no technological background. Real-world case studies from a variety of international organizations including Lloyds Bank, TransferWise, Generali, Starling and Stocktwits, bridge the gap between theory and practice and contextualize learning in terms of real businesses, from large incumbents to smaller start-ups. With coverage of robo-advisors, mobile-only banks, open banking and risk and regulation, this book also explores a range of analytical frameworks to critically examine new technologies and emerging business models. Financial Technology enables readers to understand the fintech movement in the context of recent financial history, examine the key drivers of change and form insights about the financial system in a forward-looking and global manner. Online resources include PowerPoint slides for lecturers and additional case studies. |
| financial technology and analytics: Fintech in a Flash Agustin Rubini, 2018-12-17 The financial services technology industry is booming and promises to change the way we manage our money online, disrupting the current landscape of the industry. Understanding fintech’s many facets is the key to navigating the complex nuances of this global industry. Fintech in a Flash is a comprehensive guide to the future of banking and insurance. It discusses an array of hot topics such as online payments, crowdfunding, challenger banks, online insurance, digital lending, big data, and digital commerce. The author provides easy to understand explanations of the 14 main areas of fintech and their future, and insight into the main fintech hubs in the world and the so-called unicorns, fintech firms that have made it past a $1 billion valuation. He breaks down the key concepts of fintech in a way that will help you understand every aspect so that you can take advantage of new technologies. This detailed guide is your go-to source for everything you need to confidently navigate the ever-changing scene of this booming industry. |
| financial technology and analytics: Data Science and Risk Analytics in Finance and Insurance Tze Leung Lai, Haipeng Xing, 2024-10-02 This book presents statistics and data science methods for risk analytics in quantitative finance and insurance. Part I covers the background, financial models, and data analytical methods for market risk, credit risk, and operational risk in financial instruments, as well as models of risk premium and insolvency in insurance contracts. Part II provides an overview of machine learning (including supervised, unsupervised, and reinforcement learning), Monte Carlo simulation, and sequential analysis techniques for risk analytics. In Part III, the book offers a non-technical introduction to four key areas in financial technology: artificial intelligence, blockchain, cloud computing, and big data analytics. Key Features: Provides a comprehensive and in-depth overview of data science methods for financial and insurance risks. Unravels bandits, Markov decision processes, reinforcement learning, and their interconnections. Promotes sequential surveillance and predictive analytics for abrupt changes in risk factors. Introduces the ABCDs of FinTech: Artificial intelligence, blockchain, cloud computing, and big data analytics. Includes supplements and exercises to facilitate deeper comprehension. |
| financial technology and analytics: FINANCIAL TECHNOLOGY (FinTech): New Way of Doing Business Mr. Govind Singh, Ms. Sapna Singh, Mr. Pushpender Singh, 2023-08-06 FINTECH's books are a major guide to the financial technology revolution and the turmoil, innovation and opportunities within it. Written by renowned sort leaders in the world's fin-tech investment space, this book brings together insights from different industries into one informative volume that leverages this profitable market for entrepreneurs, bankers and investors. We will provide you with the answers you need to do. Key industry developments are detailed and important insights from cutting-edge practitioners provide direct information and lessons learned. The fin-tech industry is booming and entrepreneurs, bankers, advisors, investors and wealth managers are looking for more information. Who are the main players? What is driving explosive growth? What are the risks? This book summarizes insights, knowledge, and guidance from industry experts and provides answers to these questions. • Learn about the latest industry trends • Capturing the market dynamics of the Fin-tech Revolution • Understand the potential of the sector and its impact on related industries • Gain expert insights on investment and entrepreneurial opportunities The fin-tech market reached more than $ 14 billion in 2014, triple the previous year. New startups are emerging faster than ever, forcing large banks and insurers to step up their digital operations to survive. The fin-tech sector is booming and the fin-tech book is the first crowd source book on this subject anywhere in the world and is a valuable resource for anyone working or interested in this area. |
| financial technology and analytics: The Future of FinTech Bernardo Nicoletti, 2017-03-02 This book provides an introduction to the state of the art in financial technology (FinTech) and the current applications of FinTech in digital banking. It is a comprehensive guide to the various technologies, products, processes, and business models integral to the FinTech environment. Covering key definitions and characteristics, models and best practice, as well as presenting relevant case studies related to FinTech and e-Business, this book helps build a theoretical framework for future discussion. |
| financial technology and analytics: Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance El Bachir Boukherouaa, Mr. Ghiath Shabsigh, Khaled AlAjmi, Jose Deodoro, Aquiles Farias, Ebru S Iskender, Mr. Alin T Mirestean, Rangachary Ravikumar, 2021-10-22 This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight. |
| financial technology and analytics: Global Fintech David L. Shrier, Alex Pentland, 2022 Academic, industry, and government experts provide a global survey of the financial services sector's transformation by AI, data science, and blockchain-- |
| financial technology and analytics: Inside the Yield Book Sidney Homer, Martin L. Leibowitz, 1972 |
| financial technology and analytics: Fintech and the Remaking of Financial Institutions John Hill, 2018-05-17 FinTech and the Remaking of Financial Institutions explores the transformative potential of new entrants and innovations on business models. In its survey and analysis of FinTech, the book addresses current and future states of money and banking. It provides broad contexts for understanding financial services, products, technology, regulations and social considerations. The book shows how FinTech has evolved and will drive the future of financial services, while other FinTech books concentrate on particular solutions and adopt perspectives of individual users, companies and investors. It sheds new light on disruption, innovation and opportunity by placing the financial technology revolution in larger contexts. - Presents case studies that depict the problems, solutions and opportunities associated with FinTech - Provides global coverage of FinTech ventures and regulatory guidelines - Analyzes FinTech's social aspects and its potential for spreading to new areas in banking - Sheds new light on disruption, innovation and opportunity by placing the financial technology revolution in larger contexts |
| financial technology and analytics: FinTech For Dummies Steven O'Hanlon, Susanne Chishti, Brendan Bradley, James Jockle, Dawn Patrick, 2020-09-01 Examine the depth and breadth of financial technology This comprehensive, hands-on guide is the go-to source for everything you need to confidently navigate the ever-changing scene of this booming industry. FinTech For Dummies will shed light on this rapidly changing landscape making it an invaluable source of information for anybody working in or interested in this space. This book provides insights, knowledge and guidance from industry experts Steve O’Hanlon and Susanne Chishti on the following: Gaining insight fastest growing market segment of the financial markets Learning the core decision making to effect a growth plan Securing knowledge of the fastest growing fintech companies in the world Navigating the fintech world The ingredients into building a FinTech company |
| financial technology and analytics: Building a Digital Analytics Organization Judah Phillips, 2013-07-25 Drive maximum business value from digital analytics, web analytics, site analytics, and business intelligence! In Building a Digital Analytics Organization, pioneering expert Judah Phillips thoroughly explains digital analytics to business practitioners, and presents best practices for using it to reduce costs and increase profitable revenue throughout the business. Phillips covers everything from making the business case through defining and executing strategy, and shows how to successfully integrate analytical processes, technology, and people in all aspects of operations. This unbiased and product-independent guide is replete with examples, many based on the author’s own extensive experience. Coverage includes: key concepts; focusing initiatives and strategy on business value, not technology; building an effective analytics organization; choosing the right tools (and understanding their limitations); creating processes and managing data; analyzing paid, owned, and earned digital media; performing competitive and qualitative analyses; optimizing and testing sites; implementing integrated multichannel digital analytics; targeting consumers; automating marketing processes; and preparing for the revolutionary “analytical economy.” For all business practitioners interested in analytics and business intelligence in all areas of the organization. |
| financial technology and analytics: FinTech Revolution Sofie Blakstad, Robert Allen, 2018-06-06 This book is a practical guide to the evolving landscape of finance, highlighting how it’s changing our relationship with money and how financial technology, together with macroeconomic and societal change, is rewriting the story of how business is done in developing economies. Financial services companies are trying to become more customer focused, but struggling to help huge customer segments, particularly in developing economies. Alternative financial models and tools are emerging, which are being embraced by consumers and incumbents. In large parts of the developing world, alternative services are leapfrogging traditional finance, meaning more and more people have access to finance without ever needing a bank. Meanwhile, the barriers around financial services companies are crumbling, as they become more reliant on integration with new providers and alternative types of service. Financial products can no longer be viewed in isolation, but as part of a service landscape that supports how people do life. This means rethinking how our businesses are designed, motivated and organised, and letting go of the old ways of thinking about supply and demand. With practical steps businesses and, in particular, financial services organisations need to take to participate in a global service ecosystem, this book will be of interest to financial professionals who work in banking, financial technology, and development finance. |
| financial technology and analytics: Advances in Emerging Financial Technology and Digital Money Yassine Maleh, Justin Zhang, Abderrahim Hansali, 2024-03-29 The financial sector is witnessing rapid technological innovations, leading to the emergence of Fintech (financial technologies), revolutionizing national and international financial landscapes. Fintech is expanding and enhancing financial products and services, making them more accessible and affordable while transforming customer relationships, payment methods, financing, and transfers. Advances in Emerging Financial Technology and Digital Money provides a platform for collective reflection, bringing together institutions, policymakers, digital and financial service providers, professionals, and academics from various disciplines. The aim is to clarify the challenges, opportunities, and socio-economic impacts of innovations in finance and technology on citizens and businesses in Morocco, Africa, and worldwide. This comprehensive collection offers valuable insights into the current state and prospects of financial technology and digital money. This book covers all the essential topics, including: AI and Machine Learning in Fintech and Beyond Financial Inclusion, Literacy, and Behavior Fintech Ecosystems, Collaboration, and Analysis Blockchain, Security, and Sustainability Fintech Innovations and Applications In this new book, the authors share their experiences to provide a comprehensive and well‐researched overview of the technologies and concepts that will transform the banking industry as we know it. It aspires to be a useful reference for executive managers, CIOs, Fintech professionals, and researchers interested in exploring and implementing an efficient Fintech strategy. The book also presents selected papers from International Fintech Congress (IFC 2022). |
| financial technology and analytics: Innovative Strategies for Implementing FinTech in Banking Albastaki, Yousif Abdullatif, Razzaque, Anjum, Sarea, Adel M., 2020-08-28 FinTech is encouraging various new practices, such as diminishing the use of cash in different countries, increasing rate of mobile payments, and introducing new algorithms for high-frequency trading across national boundaries. It is paving the way for new technologies emerging in the information technology scene that allow financial service firms to automate existing business processes and offer new products, including crowdfunding or peer-to-peer insurance. These new products cater to hybrid client interaction and customer self-services, changing the ecosystem by increasing outsourcing for focused specialization by resizing and leading to new ecosystems and new regulations for encouraging FinTech. However, such new ecosystems are also accompanied by new challenges. Innovative Strategies for Implementing FinTech in Banking provides emerging research exploring the theoretical and practical aspects of technology inclusion in the financial sector and applications within global financing. It provides a clear direction for the effective implementation of FinTech initiatives/programs for improving banking financial processes, financial organizational learning, and performance excellence. Featuring coverage on a broad range of topics such as artificial intelligence, social financing, and customer satisfaction, this book encourages the management of the financial industry to take a proactive attitude toward FinTech, resulting in a better decision-making capability that will support financial organizations in their journey towards becoming FinTech-based organizations. As such, this book is ideally designed for financial analysts, finance managers, finance administrators, banking professionals, IT consultants, researchers, academics, students, and practitio |
| financial technology and analytics: Bankruption John Waupsh, 2016-11-21 Community banking can flourish in the face of fintech and global competition with a fresh approach to strategy Bankruption + Website offers a survival guide for community banks and credit unions searching for relevance amidst immense global competition and fintech startups. Author John Waupsh is the Chief Innovation Officer at Kasasa, where he helps spearhead financial product development and implementation across hundreds of institutions. In this guide, he draws on more than a decade in the industry to offer clear, practical advice for competing with the megabanks, direct banks, non-banks, and financial technology companies. The discussion separates futurist thinking from today's realities, and dispels common myths surrounding the U.S. community banking model in order to shed light on the real challenges facing community banking institutions. It follows with clear solutions, proven strategies, and insight from experts across banking and fintech. All arguments are backed by massive amounts of data, and the companion website provides presentation-ready visualizations to help you kickstart change within your team. In the U.S. and around the globe, fintech companies and non-banks alike are creating streams of banking services that are interesting, elegant, and refreshing—and they're winning the hearts and minds of early adopters. Not a one-size-fits-all approach, this book offers many different tactics for community banks and credit unions to compete and flourish in the new world. Analyze fintech's threat to the community banking model Learn where community banking must improve to compete Disprove the myths to uncover the real challenges banks face Adopt proven strategies to bring your organization into the future Community banks and credit unions were once the go-to institutions for local relationship banking, but their asset share has been on the decline for three decades as the big banks just got bigger. Now, fintech companies are exploiting inefficiencies in the traditional banking model to streamline service and draw even more market share, as community banking executives are left at a loss for fresh tactics and forward-looking strategy. Bankruption + Website shows how community banks can be saved, and provides a proven path to success. |
| financial technology and analytics: The Disruptive Impact of FinTech on Retirement Systems Julie Agnew, Olivia S. Mitchell, 2019-09-06 Many people need help planning for retirement, saving, investing, and decumulating their assets, yet financial advice is often complex, potentially conflicted, and expensive. The advent of computerized financial advice offers huge promise to make accessible a more coherent approach to financial management, one that takes into account not only clients' financial assets but also human capital, home values, and retirement pensions. Robo-advisors, or automated on-line services that use computer algorithms to provide financial advice and manage customers' investment portfolios, have the potential to transform retirement systems and peoples' approach to retirement planning. This volume offers cutting-edge research and recommendations regarding the impact of financial technology, or FinTech, to disrupt retirement planning and retirement system design. |
| financial technology and analytics: Fostering Innovation and Competitiveness With FinTech, RegTech, and SupTech Boitan, Iustina Alina, Marchewka-Bartkowiak, Kamilla, 2020-09-11 Due to the emergence of innovative technologies, various professional fields are transforming their traditional business practices. Specifically, the financial and legal markets are experiencing this digital transformation as professionals and researchers are finding ways to improve efficiency, personalization, and security in these economic sectors. Significant research is needed to keep pace with the continuous advancements that are taking place in finance. Fostering Innovation and Competitiveness with FinTech, RegTech, and SupTech provides emerging research exploring the theoretical and practical aspects of technologically innovative mechanisms and applications within the financial, economic, and legal markets. Featuring coverage on a broad range of topics such as crowdfunding platforms, crypto-assets, and blockchain technology, this book is ideally designed for researchers, economists, practitioners, policymakers, analysts, managers, executives, educators, and students seeking current research on the strategic role of technology in the future development of financial and economic activity. |
| financial technology and analytics: Financial Technology and Disruptive Innovation in ASEAN Anshari, Muhammad, Almunawar, Mohammad Nabil, Masri, Masairol, 2019-07-05 The emergence of financial technology (FinTech)-related products is causing major disruptions in financial services that enable financial solutions and innovative business models resulting in the fusion of finance and smart mobile technology. As ASEAN is undergoing a paradigm shift from government-to-government (G2G) to community-to-community (C2C) relationships with the emphasis on integration and collaboration, the adoption of FinTech and its possible future directions needs to be studied further. Financial Technology and Disruptive Innovation in ASEAN provides an assortment of innovative research that explores the recent FinTech initiative in ASEAN with respect to its process, strategies, challenges, and outcomes and highlights new business models, products, and services that affect financial markets and institutions and the provision of financial services. While highlighting topics including blockchain technology, cloud computing, and mobile banking, this book is ideally designed for business executives, managers, entrepreneurs, financial and banking practitioners, policymakers, academicians, students, professionals, and researchers. |
| financial technology and analytics: Logistics, Supply Chain and Financial Predictive Analytics Kusum Deep, Madhu Jain, Said Salhi, 2018-08-06 This book addresses a broad range of problems commonly encountered in the fields of financial analysis, logistics and supply chain management, such as the use of big data analytics in the banking sector. Divided into twenty chapters, some of the contemporary topics discussed in the book are co-operative/non-cooperative supply chain models for imperfect quality items with trade-credit financing; a non-dominated sorting water cycle algorithm for the cardinality constrained portfolio problem; and determining initial, basic and feasible solutions for transportation problems by means of the “supply demand reparation method” and “continuous allocation method.” In addition, the book delves into a comparison study on exponential smoothing and the Arima model for fuel prices; optimal policy for Weibull distributed deteriorating items varying with ramp type demand rate and shortages; an inventory model with shortages and deterioration for three different demand rates; outlier labeling methods for medical data; a garbage disposal plant as a validated model of a fault-tolerant system; and the design of a “least cost ration formulation application for cattle”; a preservation technology model for deteriorating items with advertisement dependent demand and trade credit; a time series model for stock price forecasting in India; and asset pricing using capital market curves. The book offers a valuable asset for all researchers and industry practitioners working in these areas, giving them a feel for the latest developments and encouraging them to pursue further research in this direction. |
| financial technology and analytics: The Future of Finance Henri Arslanian, Fabrice Fischer, 2019-07-15 This book, written jointly by an engineer and artificial intelligence expert along with a lawyer and banker, is a glimpse on what the future of the financial services will look like and the impact it will have on society. The first half of the book provides a detailed yet easy to understand educational and technical overview of FinTech, artificial intelligence and cryptocurrencies including the existing industry pain points and the new technological enablers. The second half provides a practical, concise and engaging overview of their latest trends and their impact on the future of the financial services industry including numerous use cases and practical examples. The book is a must read for any professional currently working in finance, any student studying the topic or anyone curious on how the future of finance will look like. |
| financial technology and analytics: Machine Learning Approaches in Financial Analytics Leandros A. Maglaras, |
| financial technology and analytics: Art Therapy and Childbearing Issues Nora Swan-Foster, 2020-09-22 This text introduces readers to the diverse and unique ways art therapy is used with women who are undergoing various stages of the childbearing process, including conception, pregnancy, miscarriage, childbirth, and postpartum. Art Therapy and Childbearing Issues discusses a range of topics including the role of transference/countertransference, attachment and maternal tasks, and neuropsychology. The book also addresses several motifs that are outside cultural norms of pregnancy and childbearing, such as racial sociopolitical issues, grief and loss, palliative care, midwifery, menstruation, sex-trafficking, disadvantaged populations, and incarceration. Each chapter offers research, modalities, case studies and suggestions on how to work in this field in a new way, accompanied by visual representations of different therapy methods and practices. The approachable style will appeal to a range of readers who will come away with a new awareness of art therapy and a greater knowledge of how to work with women as they enter and exit this universal, psychobiological experience. |
| financial technology and analytics: FinTech in Financial Inclusion: Machine Learning Applications in Assessing Credit Risk Majid Bazarbash, 2019-05-17 Recent advances in digital technology and big data have allowed FinTech (financial technology) lending to emerge as a potentially promising solution to reduce the cost of credit and increase financial inclusion. However, machine learning (ML) methods that lie at the heart of FinTech credit have remained largely a black box for the nontechnical audience. This paper contributes to the literature by discussing potential strengths and weaknesses of ML-based credit assessment through (1) presenting core ideas and the most common techniques in ML for the nontechnical audience; and (2) discussing the fundamental challenges in credit risk analysis. FinTech credit has the potential to enhance financial inclusion and outperform traditional credit scoring by (1) leveraging nontraditional data sources to improve the assessment of the borrower’s track record; (2) appraising collateral value; (3) forecasting income prospects; and (4) predicting changes in general conditions. However, because of the central role of data in ML-based analysis, data relevance should be ensured, especially in situations when a deep structural change occurs, when borrowers could counterfeit certain indicators, and when agency problems arising from information asymmetry could not be resolved. To avoid digital financial exclusion and redlining, variables that trigger discrimination should not be used to assess credit rating. |
| financial technology and analytics: Python for Finance Yves J. Hilpisch, 2018-12-05 The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics. Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks. |
| financial technology and analytics: The Money Revolution Anne Boden, 2019-06-03 Transform the way you think about money in this easy-to-use, jargon-free guide by Anne Boden (CEO of Starling Bank) which busts commonly held financial myths, helping you to get the most of your cash in today's digital world. There's never been a shortage of advice on managing your money, clearing debt, being canny with your cash and getting the best deals. But it can be hard work, and everyone seems to be saying something different. What if you could easily cut through all the rhetoric and noise and everything could be made straightforward? In The Money Revolution, banking entrepreneur, and founder of award winning Starling Bank, Anne Boden shines a spotlight on how we save, spend and invest our money. By adopting a few new behaviours, it's possible to transform your bank balance for the better. The Money Revolution breaks through the traditional thinking about money and what you've always been told you should expect from financial institutions. Sharing the benefits of smart banking, fintech solutions and the advantages of open banking, it covers a range of financial solutions, from savings and investments to pensions, bill payments and travel money. Find out everything you need to know to get the best out of your money every day. |
| financial technology and analytics: Artificial Intelligence in Banking Introbooks, 2020-04-07 In these highly competitive times and with so many technological advancements, it is impossible for any industry to remain isolated and untouched by innovations. In this era of digital economy, the banking sector cannot exist and operate without the various digital tools offered by the ever new innovations happening in the field of Artificial Intelligence (AI) and its sub-set technologies. New technologies have enabled incredible progression in the finance industry. Artificial Intelligence (AI) and Machine Learning (ML) have provided the investors and customers with more innovative tools, new types of financial products and a new potential for growth.According to Cathy Bessant (the Chief Operations and Technology Officer, Bank of America), AI is not just a technology discussion. It is also a discussion about data and how it is used and protected. She says, In a world focused on using AI in new ways, we're focused on using it wisely and responsibly. |
| financial technology and analytics: Cyber Security Intelligence and Analytics Zheng Xu (Of Shanghai da xue), Saed Alrabaee, Octavio Loyola-González, Niken Dwi Wahyu Cahyani, Nurul Hidayah Ab Rahman, 2023 This book provides the proceedings of the 5th International Conference on Cyber Security Intelligence and Analytics. The 5th International Conference on Cyber Security Intelligence and Analytics (CSIA 2023) is an international conference dedicated to promoting novel theoretical and applied research advances in the interdisciplinary agenda of cyber security, particularly focusing on threat intelligence and analytics and countering cybercrime. Cyber security experts, including those in data analytics, incident response and digital forensics, need to be able to rapidly detect, analyze and defend against a diverse range of cyber threats in near real-time conditions. We are organizing the CSIA 2023 at Radisson Blu Shanghai Pudong Jinqiao Hotel. It will feature a technical program of refereed papers selected by the international program committee, keynote address. |
| financial technology and analytics: The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy John Macintyre, Jinghua Zhao, Xiaomeng Ma, 2021-10-27 This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2021), online conference, on 30 October 2021. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field. |
| financial technology and analytics: Key Business Analytics Bernard Marr, 2016-02-10 Key Business Analytics will help managers apply tools to turn data into insights that help them better understand their customers, optimize their internal processes and identify cost savings and growth opportunities. It includes analysis techniques within the following categories: Financial analytics – cashflow, profitability, sales forecasts Market analytics – market size, market trends, marketing channels Customer analytics – customer lifetime values, social media, customer needs Employee analytics – capacity, performance, leadership Operational analytics – supply chains, competencies, environmental impact Bare business analytics – sentiments, text, correlations Each tool will follow the bestselling Key format of being 5-6 pages long, broken into short sharp advice on the essentials: What is it? When should I use it? How do I use it? Tips and pitfalls Further reading This essential toolkit also provides an invaluable section on how to gather original data yourself through surveys, interviews, focus groups, etc. |
| financial technology and analytics: Finance Analytics in Business Sanjay Taneja, Pawan Kumar, Kiran Sood, Ercan Özen, Simon Grima, 2024-06-17 Finance Analytics in Business brings together specialists around the world working in various disciplines to reflect on finance analytics in business. This crucial field gives different views of a company’s financial data, and helps it gain knowledge to take action to improve financial performance. |
| financial technology and analytics: Algorithmic Approaches to Financial Technology: Forecasting, Trading, and Optimization Singh, Amandeep, Taneja, Sanjay, Kumar, Pawan, 2023-12-29 Today, algorithms steer and inform more than 75% of modern trades. These mathematical constructs play an intricate role in automating processes, predicting market trends, optimizing portfolios, and fortifying decision-making in the financial domain. In an era where algorithms underpin the very foundation of financial services, it is imperative to hold a deep understanding of the intricate web of computational finance. Algorithmic Approaches to Financial Technology: Forecasting, Trading, and Optimization takes a comprehensive approach, spotlighting the fusion of artificial intelligence(AI) and algorithms in financial operations. The chapters explore the expansive landscape of algorithmic applications, from scrutinizing market trends to managing risks. The emphasis extends to AI-driven personnel selection, implementing trusted financial services, crafting recommendation systems for financial platforms, and critical fraud detection. This book serves as a vital resource for researchers, students, and practitioners. Its core strength lies in discussing AI-based algorithms as a catalyst for evolving market trends. It provides algorithmic solutions for stock markets, portfolio optimization, and robust financial fraud detection mechanisms. |
| financial technology and analytics: Python for Finance Yves Hilpisch, 2014-12-11 The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects of using Python for quantitative finance. Using practical examples through the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks, with topics that include: Fundamentals: Python data structures, NumPy array handling, time series analysis with pandas, visualization with matplotlib, high performance I/O operations with PyTables, date/time information handling, and selected best practices Financial topics: mathematical techniques with NumPy, SciPy and SymPy such as regression and optimization; stochastics for Monte Carlo simulation, Value-at-Risk, and Credit-Value-at-Risk calculations; statistics for normality tests, mean-variance portfolio optimization, principal component analysis (PCA), and Bayesian regression Special topics: performance Python for financial algorithms, such as vectorization and parallelization, integrating Python with Excel, and building financial applications based on Web technologies |
| financial technology and analytics: Smart Analytics, Artificial Intelligence and Sustainable Performance Management in a Global Digitalised Economy Pallavi Tyagi, Simon Grima, Kiran Sood, Balamurugan Balusamy, Ercan Özen, Eleftherios Thalassinos, 2023-05-29 The Covid 19 pandemic has created chaos in the business world and forced leaders to rethink their operational status quo. Though the benefits outweigh the risks, the challenges in digitalised economies are as sophisticated as the solutions they offer. |
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Tim Bovey, ChFC®, CASL®, CLU®. Investment Adviser Representative. Co-founder. Email: tim@kirklandfa.com. Phone: 425-820-4384.
