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Financial Cryptography and Data Security: FC 2019 International Workshops, VOTING and WTSC, St. Kitts, St. Kitts and Nevis, February 18–22, 2019, Revised Selected Papers (Lecture Notes in Computer Science #11599)
by Jeremy Clark Andrea Bracciali Massimiliano Sala Federico Pintore Peter B. RønneThis book constitutes the refereed proceedings of two workshops held at the 23rd International Conference on Financial Cryptography and Data Security, FC 2019, in St. Kitts, St. Kitts and Nevis, in February 2019.The 20 full papers and 4 short papers presented in this book were carefully reviewed and selected from 34 submissions.The papers feature the outcome of the 4th Workshop on Advances in Secure Electronic Voting, VOTING 2019 and the Third Workshop on Trusted Smart Contracts, WTSC 2019. VOTING covered topics like election auditing, voting system efficiency, voting system usability, and new technical designs for cryptographic protocols for voting systems.WTSC focuses on smart contracts, i.e., self-enforcing agreements in the form of executable programs, and other decentralized applications that are deployed to and run on top of (specialized) blockchains.
Financial Cryptography and Data Security: FC 2020 International Workshops, AsiaUSEC, CoDeFi, VOTING, and WTSC, Kota Kinabalu, Malaysia, February 14, 2020, Revised Selected Papers (Lecture Notes in Computer Science #12063)
by Alana Maurushat Andrea Bracciali Massimiliano Sala Peter B. Rønne Matthew Bernhard L. Jean Camp Shin’ichiro MatsuoThis book constitutes the refereed proceedings of two workshops held at the 24th International Conference on Financial Cryptography and Data Security, FC 2020, in Kota Kinabalu, Malaysia, in February 2020. The 39 full papers and 3 short papers presented in this book were carefully reviewed and selected from 73 submissions. The papers feature four Workshops: The 1st Asian Workshop on Usable Security, AsiaUSEC 2020, the 1st Workshop on Coordination of Decentralized Finance, CoDeFi 2020, the 5th Workshop on Advances in Secure Electronic Voting, VOTING 2020, and the 4th Workshop on Trusted Smart Contracts, WTSC 2020. The AsiaUSEC Workshop contributes an increase of the scientific quality of research in human factors in security and privacy. In terms of improving efficacy of secure systems, the research included an extension of graphical password authentication. Further a comparative study of SpotBugs, SonarQube, Cryptoguard and CogniCrypt identified strengths in each and refined the need for improvements in security testing tools. The CoDeFi Workshop discuss multi-disciplinary issues regarding technologies and operations of decentralized finance based on permissionless blockchain. The workshop consists of two parts; presentations by all stakeholders, and unconference style discussions. The VOTING Workshop cover topics like new methods for risk-limited audits, new ethods to increase the efficiency of mixnets, verification of security of voting schemes election auditing, voting system efficiency, voting system usability, and new technical designs for cryptographic protocols for voting systems, and new way of preventing voteselling by de-incentivising this via smart contracts. The WTSC Workshop focuses on smart contracts, i.e., self-enforcing agreements in the form of executable programs, and other decentralized applications that are deployed to and run on top of specialized blockchains.
Financial Cybersecurity Risk Management: Leadership Perspectives and Guidance for Systems and Institutions
by Jennifer L. Bayuk Paul RohmeyerUnderstand critical cybersecurity and risk perspectives, insights, and tools for the leaders of complex financial systems and markets. This book offers guidance for decision makers and helps establish a framework for communication between cyber leaders and front-line professionals. Information is provided to help in the analysis of cyber challenges and choosing between risk treatment options.Financial cybersecurity is a complex, systemic risk challenge that includes technological and operational elements. The interconnectedness of financial systems and markets creates dynamic, high-risk environments where organizational security is greatly impacted by the level of security effectiveness of partners, counterparties, and other external organizations. The result is a high-risk environment with a growing need for cooperation between enterprises that are otherwise direct competitors. There is a new normal of continuous attack pressures that produce unprecedented enterprise threats that must be met with an array of countermeasures. Financial Cybersecurity Risk Management explores a range of cybersecurity topics impacting financial enterprises. This includes the threat and vulnerability landscape confronting the financial sector, risk assessment practices and methodologies, and cybersecurity data analytics. Governance perspectives, including executive and board considerations, are analyzed as are the appropriate control measures and executive risk reporting.What You’ll LearnAnalyze the threat and vulnerability landscape confronting the financial sectorImplement effective technology risk assessment practices and methodologiesCraft strategies to treat observed risks in financial systemsImprove the effectiveness of enterprise cybersecurity capabilitiesEvaluate critical aspects of cybersecurity governance, including executive and board oversightIdentify significant cybersecurity operational challengesConsider the impact of the cybersecurity mission across the enterpriseLeverage cybersecurity regulatory and industry standards to help manage financial services risksUse cybersecurity scenarios to measure systemic risks in financial systems environmentsApply key experiences from actual cybersecurity events to develop more robust cybersecurity architecturesWho This Book Is For Decision makers, cyber leaders, and front-line professionals, including: chief risk officers, operational risk officers, chief information security officers, chief security officers, chief information officers, enterprise risk managers, cybersecurity operations directors, technology and cybersecurity risk analysts, cybersecurity architects and engineers, and compliance officers
Financial Data Analytics with Machine Learning, Optimization and Statistics (Wiley Finance)
by Phillip Yam Sam Chen Ka Chun CheungAn essential introduction to data analytics and Machine Learning techniques in the business sector In Financial Data Analytics with Machine Learning, Optimization and Statistics, a team consisting of a distinguished applied mathematician and statistician, experienced actuarial professionals and working data analysts delivers an expertly balanced combination of traditional financial statistics, effective machine learning tools, and mathematics. The book focuses on contemporary techniques used for data analytics in the financial sector and the insurance industry with an emphasis on mathematical understanding and statistical principles and connects them with common and practical financial problems. Each chapter is equipped with derivations and proofs—especially of key results—and includes several realistic examples which stem from common financial contexts. The computer algorithms in the book are implemented using Python and R, two of the most widely used programming languages for applied science and in academia and industry, so that readers can implement the relevant models and use the programs themselves. The book begins with a brief introduction to basic sampling theory and the fundamentals of simulation techniques, followed by a comparison between R and Python. It then discusses statistical diagnosis for financial security data and introduces some common tools in financial forensics such as Benford's Law, Zipf's Law, and anomaly detection. The statistical estimation and Expectation-Maximization (EM) & Majorization-Minimization (MM) algorithms are also covered. The book next focuses on univariate and multivariate dynamic volatility and correlation forecasting, and emphasis is placed on the celebrated Kelly's formula, followed by a brief introduction to quantitative risk management and dependence modelling for extremal events. A practical topic on numerical finance for traditional option pricing and Greek computations immediately follows as well as other important topics in financial data-driven aspects, such as Principal Component Analysis (PCA) and recommender systems with their applications, as well as advanced regression learners such as kernel regression and logistic regression, with discussions on model assessment methods such as simple Receiver Operating Characteristic (ROC) curves and Area Under Curve (AUC) for typical classification problems. The book then moves on to other commonly used machine learning tools like linear classifiers such as perceptrons and their generalization, the multilayered counterpart (MLP), Support Vector Machines (SVM), as well as Classification and Regression Trees (CART) and Random Forests. Subsequent chapters focus on linear Bayesian learning, including well-received credibility theory in actuarial science and functional kernel regression, and non-linear Bayesian learning, such as the Naïve Bayes classifier and the Comonotone-Independence Bayesian Classifier (CIBer) recently independently developed by the authors and used successfully in InsurTech. After an in-depth discussion on cluster analyses such as K-means clustering and its inversion, the K-nearest neighbor (KNN) method, the book concludes by introducing some useful deep neural networks for FinTech, like the potential use of the Long-Short Term Memory model (LSTM) for stock price prediction. This book can help readers become well-equipped with the following skills: To evaluate financial and insurance data quality, and use the distilled knowledge obtained from the data after applying data analytic tools to make timely financial decisions To apply effective data dimension reduction tools to enhance supervised learning To describe and select suitable data analytic tools as introduced above for a given dataset depending upon classification or regression prediction purpose The book covers the competencies tested by several professional examinations, such as the Predictive Analytics Exam offered by the Society of Actuaries, and the Institute and Faculty of Actu
Financial Data Engineering: Design and Build Data-Driven Financial Products
by Tamer KhraishaToday, investment in financial technology and digital transformation is reshaping the financial landscape and generating many opportunities. Too often, however, engineers and professionals in financial institutions lack a practical and comprehensive understanding of the concepts, problems, techniques, and technologies necessary to build a modern, reliable, and scalable financial data infrastructure. This is where financial data engineering is needed.A data engineer developing a data infrastructure for a financial product possesses not only technical data engineering skills but also a solid understanding of financial domain-specific challenges, methodologies, data ecosystems, providers, formats, technological constraints, identifiers, entities, standards, regulatory requirements, and governance.This book offers a comprehensive, practical, domain-driven approach to financial data engineering, featuring real-world use cases, industry practices, and hands-on projects.You'll learn:The data engineering landscape in the financial sectorSpecific problems encountered in financial data engineeringThe structure, players, and particularities of the financial data domainApproaches to designing financial data identification and entity systemsFinancial data governance frameworks, concepts, and best practicesThe financial data engineering lifecycle from ingestion to productionThe varieties and main characteristics of financial data workflowsHow to build financial data pipelines using open source tools and APIsTamer Khraisha, PhD, is a senior data engineer and scientific author with more than a decade of experience in the financial sector.
Financial Econometrics: Bayesian Analysis, Quantum Uncertainty, and Related Topics (Studies in Systems, Decision and Control #427)
by Vladik Kreinovich Nguyen Ngoc Thach Nguyen Duc Trung Doan Thanh HaThis book overviews latest ideas and developments in financial econometrics, with an emphasis on how to best use prior knowledge (e.g., Bayesian way) and how to best use successful data processing techniques from other application areas (e.g., from quantum physics). The book also covers applications to economy-related phenomena ranging from traditionally analyzed phenomena such as manufacturing, food industry, and taxes, to newer-to-analyze phenomena such as cryptocurrencies, influencer marketing, COVID-19 pandemic, financial fraud detection, corruption, and shadow economy. This book will inspire practitioners to learn how to apply state-of-the-art Bayesian, quantum, and related techniques to economic and financial problems and inspire researchers to further improve the existing techniques and come up with new techniques for studying economic and financial phenomena. The book will also be of interest to students interested in latest ideas and results.
Financial Inclusion Law and Over-Indebtedness (Routledge Research in Finance and Banking Law)
by Michelle Kelly-Louw Duygu Damar-BlankenThe book addresses the current challenges faced by financial consumers in the context of enormous technological developments. This edited collection covers safeguarding financial consumers, encompassing topics such as financial inclusion, data protection, and consumer over-indebtedness. Addressing specific issues related to vulnerable consumer groups and the increasing digitisation of financial services, it grapples with the emerging challenge demanding that consumers possess technological literacy.The book offers a distinct new perspective, going beyond the traditional understanding of financial inclusion, which typically only considers the possession of a bank account. Instead, it explores new dimensions, including the obstacles consumers face in obtaining credit, establishing a credit history, and coping with issues such as being blacklisted. The book explores diverse strategies for enhancing financial inclusion, such as leveraging data, and open banking. It also scrutinises the pursuit of credit fairness and examines methods to either mitigate or effectively address over-indebtedness, a persistent and formidable challenge for financial consumers.The book will be of interest to researchers, practitioners, and governmental organisations in the field of finance law and the law of emerging technologies.
Financial Inclusion and Sustainable Development in Sub-Saharan Africa (Routledge Studies in Development Economics)
by David Mhlanga Mufaro DzingiraiThis book delves into the transformative power of the Fourth Industrial Revolution (4IR) in reshaping the landscape of sustainable development in one of the world's most vibrant regions. This edited volume explores the synergy between cutting-edge digital technologies and innovative financial strategies to drive responsible business practices that align with the Sustainable Development Goals (SDGs).This book navigates the complex interplay between technological advancements, financial inclusion, corporate social responsibility, environmental stewardship, and ethical governance. It critically assesses how digital innovations—ranging from artificial intelligence, blockchain, and the Internet of Things (IoT) to green technologies and fintech—alongside novel financial instruments such as green bonds and impact investing, can address key concerns such as poverty alleviation, gender parity, and environmental sustainability. With a wide range of expert contributions, this volume offers useful insights and practical solutions to promote financial inclusion and encourage sustainable growth in Sub-Saharan Africa. It achieves this through a combination of empirical research, case studies, and policy analysis.This resource is crucial for policymakers, scholars, and development practitioners who are dedicated to advancing inclusive and sustainable development.
Financial Intelligence for IT Professionals: The Story of the Numbers
by Julie BonnerThere are many books written for the accounting and finance community. However, there are very few books written to help the non-financial career professionals who still need to understand the conceptual fundamentals of accounting and finance. In 20 years of teaching this material to non-financial professionals, Dr. Bonner has perfected a teaching approach that works to help the non-financial professional engage with the material to use financial information in leveraging their career without becoming overloaded with information that is not helpful to them. Learning this material takes repetition, application, and building the thinking processes necessary for effectiveness. Many think the challenge with finance is the math, but as this book will demonstrate, it is a conceptual problem. If you understand the conceptual framework, you will understand the math. Dr. Julie Bonner is currently a tenured professor at Central Washington University in the information technology and administrative management department. Her career has spanned business and education for over 30 years. Initially, she received a Bachelor of Science degree in accounting, whereafter she earned an MBA and then a doctorate in organizational leadership.
Financial Literacy Education: Addressing Student, Business, and Government Needs
by Jay LiebowitzToday's graduates should be grounded in the basics of personal finance and possess the skills and knowledge necessary to make informed decisions and take responsibility for their own financial well-being. Faced with an array of complex financial services and sophisticated products, many graduates lack the knowledge and skills to make rational, informed decisions on the use of their money and planning for future events, such as retirement.This book shows what you can do to improve financial literacy awareness and education. It covers the use of interactive games and tutorials, peer-to-peer mentoring, and financial literacy contests in addition to more formal education. It gives you a sample of approaches and experiences in the financial literacy arena. Divided into three parts, the book covers financial literacy education for grades K–12, college, and post-college.
Financial Modeling
by Joachim Häcker Dietmar ErnstNachvollziehbare Modelle zur Beurteilung komplexer Finanzprodukte. Die Autoren bieten Studenten einen anwendungsorientierten Leitfaden zu den zentralen Themenkomplexen Corporate Finance, Derivate und Portfoliomanagement. Zwei Workshops zu Microsoft Excel(r) und der Programmiersprache VBA(r) komplettieren das finanzwirtschaftliche Know-how. Der Kurscharakter des Buches und die praxisnahen Beispiele, die zusatzlich als Download-Angebot zur Verfugung stehen, ermoglichen ein schnelles und interaktives Lernen. Als Nachschlagewerk leistet der Band auch Praktikern wertvolle Dienste. "
Financial Modeling
by Stéphane CrépeyBackward stochastic differential equations (BSDEs) provide a general mathematical framework for solving pricing and risk management questions of financial derivatives. They are of growing importance for nonlinear pricing problems such as CVA computations that have been developed since the crisis. Although BSDEs are well known to academics, they are less familiar to practitioners in the financial industry. In order to fill this gap, this book revisits financial modeling and computational finance from a BSDE perspective, presenting a unified view of the pricing and hedging theory across all asset classes. It also contains a review of quantitative finance tools, including Fourier techniques, Monte Carlo methods, finite differences and model calibration schemes. With a view to use in graduate courses in computational finance and financial modeling, corrected problem sets and Matlab sheets have been provided. Stéphane Crépey's book starts with a few chapters on classical stochastic processes material, and then... fasten your seatbelt... the author starts traveling backwards in time through backward stochastic differential equations (BSDEs). This does not mean that one has to read the book backwards, like a manga! Rather, the possibility to move backwards in time, even if from a variety of final scenarios following a probability law, opens a multitude of possibilities for all those pricing problems whose solution is not a straightforward expectation. For example, this allows for framing problems like pricing with credit and funding costs in a rigorous mathematical setup. This is, as far as I know, the first book written for several levels of audiences, with applications to financial modeling and using BSDEs as one of the main tools, and as the song says: "it's never as good as the first time". Damiano Brigo, Chair of Mathematical Finance, Imperial College London While the classical theory of arbitrage free pricing has matured, and is now well understood and used by the finance industry, the theory of BSDEs continues to enjoy a rapid growth and remains a domain restricted to academic researchers and a handful of practitioners. Crépey's book presents this novel approach to a wider community of researchers involved in mathematical modeling in finance. It is clearly an essential reference for anyone interested in the latest developments in financial mathematics. Marek Musiela, Deputy Director of the Oxford-Man Institute of Quantitative Finance
Financial Modeling (3rd Edition)
by Simon BenningaToo often, finance courses stop short of making a connection between textbook finance and the problems of real-world business. Financial Modeling bridges this gap between theory and practice by providing a nuts-and-bolts guide to solving common financial models with spreadsheets. Simon Benninga takes the reader step by step through each model, showing how it can be solved using Microsoft Excel. The long-awaited third edition of this standard text maintains the "cookbook" features and Excel dependence that have made the first and second editions so popular. It also offers significant new material, with new chapters covering such topics as bank valuation, the Black-Litterman approach to portfolio optimization, Monte Carlo methods and their applications to option pricing, and using array functions and formulas. Other chapters, including those on basic financial calculations, portfolio models, calculating the variance-covariance matrix,and generating random numbers, have been revised, with many offering substantially new and improved material. Other areas covered include financial statement modeling, leasing, standard portfolio problems, value at risk (VaR), real options, duration and immunization, and term structure modeling. Technical chapters treat such topics as data tables, matrices, the Gauss-Seidel method, and tips for using Excel. The last section of the text covers the Visual Basic for Applications (VBA) techniques needed for the book. The accompanying CD contains Excel worksheets and solutions to end-of-chapter exercises.
Financial Modeling for Business Owners and Entrepreneurs
by Tom Y. SawyerFinancial Modeling for Business Owners and Entrepreneurs: Developing Excel Models to Raise Capital, Increase Cash Flow, Improve Operations, Plan Projects, and Make Decisions may be one of the most important books any entrepreneur or manager in a small or medium-sized enterprise will read. It combines logical business principles and strategies with a step-by-step methodology for planning and modeling a company and solving specific business problems. You'll learn to create operational and financial models in Excel that describe the workings of your company in quantitative terms and that make it far more likely you will avoid the traps and dead ends many businesses fall into. Serial entrepreneur and financial expert Tom Y. Sawyer shows how to break your company down into basic functional and operational components that can be modeled. The result is a financial model that, for example, you can literally take to the bank or bring to local angel investors to receive the funding you need to launch your business or a new product. Or it might be a model that shows with startling clarity that your new product development effort is a likely winner--or loser. Even better, you'll learn to create models that will serve as guideposts for ongoing operations. You'll always know just where you are financially, and where you need to be. The models you will learn to build in Financial Modeling for Business Owners and Entrepreneurs can be used to: Raise capital for startup or any stage of growthPlan projects and new initiativesMake astute business decisions, including go/no-go assessmentsAnalyze ROI on your product development and marketing expendituresStreamline operations, manage budgets, improve efficiency, and reduce costsValue the business when it is time to cash out or mergeIn addition to many valuable exercises and tips for using Excel to model your business, this book contains a combination of practical advice born of hard-won lessons, advanced strategic thought, and the insightful use of hard skills. With a basic knowledge of Excel assumed, it will help you learn to think like an experienced business person who expects to make money on the products or services offered to the public. You'll discover that the financial model is a key management tool that, if built correctly, provides invaluable assistance every step of the entrepreneurial journey. Tom Y. Sawyer has used the principles this book contains to create financial models of numerous startup and early-stage companies, assisting them in planning for and raising the capital that they needed to grow their businesses and ultimately exit with multiples of their initial investment. Financial Modeling for Business Owners and Entrepreneurs, a mini-MBA in entrepreneurship and finance, will show you how you can do the same. Note: This book is an updated version of Sawyer's 2009 title, Pro Excel Financial Modeling.
Financial Modeling in Excel For Dummies
by Danielle Stein FairhurstTurn your financial data into insightful decisions with this straightforward guide to financial modeling with Excel Interested in learning how to build practical financial models and forecasts but concerned that you don’t have the math skills or technical know-how? We’ve got you covered! Financial decision-making has never been easier than with Financial Modeling in Excel For Dummies. Whether you work at a mom-and-pop retail store or a multinational corporation, you can learn how to build budgets, project your profits into the future, model capital depreciation, value your assets, and more. You’ll learn by doing as this book walks you through practical, hands-on exercises to help you build powerful models using just a regular version of Excel, which you’ve probably already got on your PC. You’ll also: Master the tools and strategies that help you draw insights from numbers and data you’ve already got Build a successful financial model from scratch, or work with and modify an existing one to your liking Create new and unexpected business strategies with the ideas and conclusions you generate with scenario analysis Don’t go buying specialized software or hiring that expensive consultant when you don’t need either one. If you’ve got this book and a working version of Microsoft Excel, you’ve got all the tools you need to build sophisticated and useful financial models in no time!
Financial Modelling and Asset Valuation with Excel
by Morten Helbæk Ragnar Løvaas Jon Olav MjølhusFinance is Excel! This book takes you straight into the fascinating world of Excel, the powerful tool for number crunching. In a clear cut language it amalgamates financial theory with Excel providing you with the skills you need to build financial models for private or professional use. A comprehensive knowledge of modeling in Excel is becoming increasingly important in a competitive labour market. The chapters in part one start with the most basic Excel topics such as cell addresses, workbooks, basic formulas, etc. These chapters get more advanced through part one, and takes you in the end to topics such as array formulas, data tables, pivot tables, etc. The other parts of the book discusses a variety of subjects such as net present value, internal rate of return, risk, portfolio theory, CAPM, VaR, project valuation, asset valuation, firm valuation, loan, leasing, stocks, bonds, options, simulation, sensitivity analysis, etc.
Financial Models in Production (SpringerBriefs in Finance)
by Adil Reghai Othmane KettaniThis book provides a hands-on guide to how financial models are actually implemented and used in practice, on a daily basis, for pricing and risk-management purposes. It shows how to put these models into use in production while minimizing the cost of implementation and maximizing robustness and control. Addressing some of the most important and cutting-edge issues, it describes how to build the necessary models in order to risk manage all the costs involved in options fabrication within the world of equity derivatives and hybrids. This is achieved by extending classical models and improving them in order to account for complex features. The book is primarily aimed at market practitioners (traders, risk managers, risk control, top managers), as well as Masters students in Quantitative/Mathematical Finance. It will also be useful for instructors hoping to enrich their courses with practical examples. The prerequisites are basic stochastic calculus and a general knowledge of financial markets and financial derivatives.
Financial Services Information Systems
by Jessica KeyesThe calculus of IT support for the banking, securities, and insurance industries has changed dramatically and rapidly over the past few years. Consolidation and deregulation are creating opportunities and challenges never before seen. Unheard of just a few years ago, e-commerce has given birth to new infrastructures and departments needed to suppor
Financial Services Marketing: A Guide to Principles and Practice
by Christine Ennew Nigel Waite Róisín WaiteThis fourth edition of Financial Services Marketing firmly reinforces the book’s role as a leading global educational resource, combining appropriate conceptual principles with practical insights on how financial products and services are marketed in the real world. The authors draw upon their extensive international experience marketing some of the world’s best known financial brands including Lloyds TSB and Barclays. Readers will gain a firm understanding of how financial products and services work within the commercial, social, economic, governmental, regulatory and environmental context in which they operate.This fully updated and revised edition features: A brand-new chapter devoted to environmental, social and corporate governance Revised coverage of the impact of digital advances in all aspects of business models and marketing practice, including how artificial intelligence (AI) and social marketing are changing financial services and customer experience The latest regulatory developments for safeguarding the fair treatment of customers New and improved case studies that showcase best practice from around the world Upgraded Support Material including new teaching aids and references Financial Services Marketing is essential reading for advanced undergraduate and postgraduate students studying Marketing for Financial Services, Marketing Strategy and Consumer Ethics in Finance. It is also suitable for executive students studying for professional qualifications and executive MBAs.
Financial Software Engineering (Undergraduate Topics in Computer Science)
by Kevin Lano Howard HaughtonIn this textbook the authors introduce the important concepts of the financial software domain, and motivate the use of an agile software engineering approach for the development of financial software. They describe the role of software in defining financial models and in computing results from these models. Practical examples from bond pricing, yield curve estimation, share price analysis and valuation of derivative securities are given to illustrate the process of financial software engineering.Financial Software Engineering also includes a number of case studies based on typical financial engineering problems:*Internal rate of return calculation for bonds* Macaulay duration calculation for bonds* Bootstrapping of interest rates* Estimation of share price volatility* Technical analysis of share prices* Re-engineering Matlab to C#* Yield curve estimation* Derivative security pricing* Risk analysis of CDOs The book is suitable for undergraduate and postgraduate study, and for practitioners who wish to extend their knowledge of software engineering techniques for financial applications
Financial Technology: 5th International Conference, ICFT 2024, Singapore, September 23–25, 2024, Proceedings (Communications in Computer and Information Science #2437)
by Qi Cao Ruidan Su Ke-Wei HuangThis book constitutes the proceedings of the 5th International Conference on Financial Technology, ICFT 2024, held in Singapore during September 23–25, 2024. The 17 full papers presented in this volume were carefully reviewed and selected from 35 submissions. These papers focus on the current research in Blockchain technology, Financial technology and the application of Artificial Intelligence in these areas.
Financial Technology: Proceedings of The International Conference on Business and Technology (ICBT 2021) (Lecture Notes in Networks and Systems #486)
by Allam Hamdan Bahaaeddin AlareeniThis book constitutes the refereed proceedings of the International Conference on Business and Technology (ICBT2021) organized by EuroMid Academy of Business & Technology (EMABT), held in Istanbul, between 06–07 November 2021. In response to the call for papers for ICBT2021, 485 papers were submitted for presentation and inclusion in the proceedings of the conference. After a careful blind refereeing process, 292 papers were selected for inclusion in the conference proceedings from forty countries. Each of these chapters was evaluated through an editorial board, and each chapter was passed through a double-blind peer-review process.The book highlights a range of topics in the fields of technology, entrepreneurship, business administration, accounting, and economics that can contribute to business development in countries, such as learning machines, artificial intelligence, big data, deep learning, game-based learning, management information system, accounting information system, knowledge management, entrepreneurship, and social enterprise, corporate social responsibility and sustainability, business policy and strategic management, international management and organizations, organizational behavior and HRM, operations management and logistics research, controversial issues in management and organizations, turnaround, corporate entrepreneurship, innovation, legal issues, business ethics, and firm governance, managerial accounting and firm financial affairs, non-traditional research, and creative methodologies.These proceedings are reflecting quality research contributing theoretical and practical implications, for those who are wise to apply the technology within any business sector. It is our hope that the contribution of this book proceedings will be of the academic level which even decision-makers in the various economic and executive-level will get to appreciate.
Financial Theory with Python: A Gentle Introduction
by Yves HilpischNowadays, finance, mathematics, and programming are intrinsically linked. This book provides the relevant foundations of each discipline to give you the major tools you need to get started in the world of computational finance.Using an approach where mathematical concepts provide the common background against which financial ideas and programming techniques are learned, this practical guide teaches you the basics of financial economics. Written by the best-selling author of Python for Finance, Yves Hilpisch, Financial Theory with Python explains financial, mathematical, and Python programming concepts in an integrative manner so that the interdisciplinary concepts reinforce each other.Draw upon mathematics to learn the foundations of financial theory and Python programmingLearn about financial theory, financial data modeling, and the use of Python for computational financeLeverage simple economic models to better understand basic notions of finance and Python programming conceptsUse both static and dynamic financial modeling to address fundamental problems in finance, such as pricing, decision-making, equilibrium, and asset allocationLearn the basics of Python packages useful for financial modeling, such as NumPy, pandas, Matplotlib, and SymPy
Financially Forward: How to Use Today's Digital Tools to Earn More, Save Better, and Spend Smarter
by Alexa von TobelChief digital officer at Northwestern Mutual, founder/CEO of LearnVest, and New York Times bestelling author shows how to use the simple tools of the digital age to get more out of our money.We live in a new financial world. Our wallets--like every other aspect of our lives--have gone fully digital. From mobile pay to on-demand everything to cryptocurrencies, technology is rewriting the rules for how we earn, save, spend and invest. Technology has made virtually every aspect of our lives cheaper and more convenient. Shouldn't it do the same when it comes to managing our finances?Von Tobel says that it can. In this straightforward and jargon-free guide, she shows us how to use the simple tools found on any smartphone to put more money back into our wallets. Readers will learn: Six new trends that are impacting our finances - and how to optimize them How to navigate the world of mobile pay, and cash in by going cash-free How to save time and money by putting your savings--and spending--on autopilot Best practices for keeping your identity and financial accounts ultra-secure How to talk to digital natives - ie your kids - about financial planning What the Bitcoin hype is all about and how to prepare for the future of digital moneyPreparing ourselves for the financial future gives us the security and freedom to live our richest lives. It's time to move Financially Forward...or get left behind.
Find The Girl
by Lucy Connell Lydia ConnellThe perfect summer read for fans of Girl Online and Rainbow Rowell! ----- Falling for your best friend's love interest is bad...Falling for your twin's is catastrophic.As kids, Nina and Nancy were inseparable. As teenagers, not so much...Where Nancy is popular, an Instagram star, and obsessed with boy band heartthrob Chase, Nina is shy; a talented classical musician, and shuns the spotlight that her sister thrives in.But when the wrong twin unwittingly ends up at the centre of a romantic social media storm, the bonds of twin-ship will be tested like never before... Written in collaboration with Katy Birchall, #FINDTHEGIRL is a very modern twist on a Cinderella story.