Download or read book Machine Learning and Data Science Blueprints for Finance written by Hariom Tatsat and published by "O'Reilly Media, Inc.". This book was released on 2020-10-01 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and developers will learn how to build machine learning algorithms crucial to the industry. You’ll examine ML concepts and over 20 case studies in supervised, unsupervised, and reinforcement learning, along with natural language processing (NLP). Ideal for professionals working at hedge funds, investment and retail banks, and fintech firms, this book also delves deep into portfolio management, algorithmic trading, derivative pricing, fraud detection, asset price prediction, sentiment analysis, and chatbot development. You’ll explore real-life problems faced by practitioners and learn scientifically sound solutions supported by code and examples. This book covers: Supervised learning regression-based models for trading strategies, derivative pricing, and portfolio management Supervised learning classification-based models for credit default risk prediction, fraud detection, and trading strategies Dimensionality reduction techniques with case studies in portfolio management, trading strategy, and yield curve construction Algorithms and clustering techniques for finding similar objects, with case studies in trading strategies and portfolio management Reinforcement learning models and techniques used for building trading strategies, derivatives hedging, and portfolio management NLP techniques using Python libraries such as NLTK and scikit-learn for transforming text into meaningful representations

Download or read book Big Data Science in Finance written by Irene Aldridge and published by John Wiley & Sons. This book was released on 2021-01-08 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explains the mathematics, theory, and methods of Big Data as applied to finance and investing Data science has fundamentally changed Wall Street—applied mathematics and software code are increasingly driving finance and investment-decision tools. Big Data Science in Finance examines the mathematics, theory, and practical use of the revolutionary techniques that are transforming the industry. Designed for mathematically-advanced students and discerning financial practitioners alike, this energizing book presents new, cutting-edge content based on world-class research taught in the leading Financial Mathematics and Engineering programs in the world. Marco Avellaneda, a leader in quantitative finance, and quantitative methodology author Irene Aldridge help readers harness the power of Big Data. Comprehensive in scope, this book offers in-depth instruction on how to separate signal from noise, how to deal with missing data values, and how to utilize Big Data techniques in decision-making. Key topics include data clustering, data storage optimization, Big Data dynamics, Monte Carlo methods and their applications in Big Data analysis, and more. This valuable book: Provides a complete account of Big Data that includes proofs, step-by-step applications, and code samples Explains the difference between Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) Covers vital topics in the field in a clear, straightforward manner Compares, contrasts, and discusses Big Data and Small Data Includes Cornell University-tested educational materials such as lesson plans, end-of-chapter questions, and downloadable lecture slides Big Data Science in Finance: Mathematics and Applications is an important, up-to-date resource for students in economics, econometrics, finance, applied mathematics, industrial engineering, and business courses, and for investment managers, quantitative traders, risk and portfolio managers, and other financial practitioners.

Download or read book The Physics of Finance written by James Owen Weatherall and published by Short Books. This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: A book which reveals the people and ideas on the cusp of a new era in finance.

Download or read book Investing In The Modern Age written by Rachel E S Ziemba and published by World Scientific. This book was released on 2013-05-21 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses many key topics in investment and risk management, the global economic situation and the shift in global investment strategies. It was largely written during the period of 2007-12, one of the most tumultuous times in global financial markets which called into question not only tenets of economic forecasting and also asset allocation and return strategies. It contains studies of how investors lose money in derivative markets, examples of those who did not and how these disasters could have been prevented. The authors draw some conclusions on the impact of the structural shifts currently underway in the global economy as well as how cyclical trends will affect these industries, the globe and key sectors. The authors zoom in on key growth areas, including emerging markets, their interlinkages and financial trends.The book also covers risk arbitrage and mean reversion strategies in financial and sports betting markets, plus incentives, volatility aspects, risk taking and investments strategies used by hedge funds and university endowments. Topics such as stock market crash predictions, asset liability planning models, various players in financial markets and the evaluation of the greatest investors are also discussed.The book presents tools and case studies of real applications for analyzing a wide variety of investment returns and better assessing the risks which many investors have preferred to ignore in the search of returns. Many security market regularities or anomalies are discussed including political party and January effects as is the process of building scenarios and using Kelly and fractional Kelly strategies to optimize returns.

Download or read book Finance written by Nico van der Wijst and published by Cambridge University Press. This book was released on 2013-01-17 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: By providing a solid theoretical basis, this book introduces modern finance to readers, including students in science and technology, who already have a good foundation in quantitative skills. It combines the classical, decision-oriented approach and the traditional organization of corporate finance books with a quantitative approach that is particularly well suited to students with backgrounds in engineering and the natural sciences. This combination makes finance much more transparent and accessible than the definition-theorem-proof pattern that is common in mathematics and financial economics. The book's main emphasis is on investments in real assets and the real options attached to them, but it also includes extensive discussion of topics such as portfolio theory, market efficiency, capital structure and derivatives pricing. Finance equips readers as future managers with the financial literacy necessary either to evaluate investment projects themselves or to engage critically with the analysis of financial managers. Supplementary material is available at www.cambridge.org/wijst.

Download or read book Data Science for Economics and Finance written by Sergio Consoli and published by Springer Nature. This book was released on 2021 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.

Download or read book Entrepreneurial Finance written by Luisa Alemany and published by Cambridge University Press. This book was released on 2018 with total page 647 pages. Available in PDF, EPUB and Kindle. Book excerpt: Academics and practitioners from a range of institutions across Europe provide a cutting-edge, practical, and comprehensive review on the financing of entrepreneurial ventures. From sourcing and obtaining funds, to financial tools for growing and managing the financial challenges and opportunities of the startup, Entrepreneurial Finance: The Art and Science of Growing Ventures is an engaging text that will equip entrepreneurs, students and early-stage investors to make sound financial decisions at every stage of a business' life. Largely reflecting European businesses and with a European perspective, the text is grounded in sound theoretical foundations. Case studies and success stories as well as perspectives from the media and from experts provide real-world applications, while a wealth of activities give students abundant opportunities to apply what they have learned. A must-have text for both graduate and undergraduate students in entrepreneurship, finance and management programs, as well as aspiring entrepreneurs in any field.

Download or read book The Necessity of Finance written by Anthony M. Criniti (IV.) and published by . This book was released on 2013-02-10 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Necessity of Finance: An Overview of the Science of Management of Wealth for an Individual, a Group, or an Organization seeks to provide a comprehensive and concise orientation for those seeking a more understandable presentation of the complex nature of finance. Using everyday terms and readily grasped concepts, Dr. Anthony M. Criniti IV, a former financial consultant and current university-level finance professor, sets out to detail the necessity of finance; to clarify the definition, purpose, and goals of both finance and economics; to explore financial concepts in a straightforward manner; and to stimulate interest and understanding that will lead to ongoing investigation.Finance, although highly interrelated with many subjects, is a separate field of study that is often confused with other areas, most notably economics. With world wealth accumulating to its highest point in history, the necessity to understand this subject on its own terms is more crucial than ever. The Necessity of Finance highlights the need to engage with finance as a separate science, clears up the confusion with related subjects, and coins the word "financialists" to identify the scientists in this dynamic field.Starting with a discussion about the need for finance, and moving forward to establish the definition, purpose, goals, and history of both finance and economics, presenting in the process the basic terminology necessary to understand these subjects, The Necessity of Finance will equip the beginner to intermediate level financial student with vital information and a clear approach for continued study. In addition, its unique perspective will be of value to the advanced student and the practitioner. Finance is not an easy subject for the average student. While The Necessity of Finance does not replace the need for required college textbooks, it will serve as an indispensible supplemental learning tool that may clarify expectations of future financial journeys, whether it's learning in a university or actively investing in the marketplace. In this extremely useful overview, Dr. Criniti demonstrates that finance is a very promising science that will benefit those who commit themselves to its study and practice.

Download or read book The Making of Finance written by Isabelle Chambost and published by Routledge. This book was released on 2018-09-21 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using a variety of theoretical frameworks drawn from the social sciences, the contributions in this edited collection offer a critical perspective on the dominant paradigms used in contemporary financial activities. Through a detailed study of the organisation and functioning of financial intermediaries and institutions, the contributors to this volume analyse ‘finance in the making’, by shedding light on the structuring of banking and financial systems, on their capacity to prescribe action and control, on their modes of regulation and, more generally, on the process of financialisation. Contributions presented in this volume have been written by authors working within the ‘social studies of finance’ tradition, a research programme that emerged twenty years ago, with the aim of addressing a diversity of financial fieldworks and related theoretical questions. This book, therefore, sheds light on different areas that are representative of contemporary financial realities. Specifically, it first studies the work of financial employees: traders, salespeople, investment managers, financial analysts, investment consultants, etc. but also provides an analysis of a range of financial instruments: financial schemes and contracts, financial derivatives, socially responsible investment funds, as well as market rules and regulations. Finally, it puts into perspective the organisations contributing to this financial reality: those developing and selling financial services (retail banks, brokerage houses, asset management firms, private equity firms, etc.), and also those contributing to the regulation of such activities (banking regulators, financial market authorities, credit rating agencies, the State, to name a few). Each text can be read without any specific knowledge of finance; the book is thus addressed to anyone willing to better understand the intricacies of contemporary financial realities.

Download or read book Adventures In Financial Data Science The Empirical Properties Of Financial And Economic Data Second Edition written by Graham L Giller and published by World Scientific. This book was released on 2022-06-27 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides insights into the true nature of financial and economic data, and is a practical guide on how to analyze a variety of data sources. The focus of the book is on finance and economics, but it also illustrates the use of quantitative analysis and data science in many different areas. Lastly, the book includes practical information on how to store and process data and provides a framework for data driven reasoning about the world.The book begins with entertaining tales from Graham Giller's career in finance, starting with speculating in UK government bonds at the Oxford Post Office, accidentally creating a global instant messaging system that went 'viral' before anybody knew what that meant, on being the person who forgot to hit 'enter' to run a hundred-million dollar statistical arbitrage system, what he decoded from his brief time spent with Jim Simons, and giving Michael Bloomberg a tutorial on Granger Causality.The majority of the content is a narrative of analytic work done on financial, economics, and alternative data, structured around both Dr Giller's professional career and some of the things that just interested him. The goal is to stimulate interest in predictive methods, to give accurate characterizations of the true properties of financial, economic and alternative data, and to share what Richard Feynman described as 'The Pleasure of Finding Things Out.'

Download or read book Python for Finance written by Yves Hilpisch and published by "O'Reilly Media, Inc.". This book was released on 2018-12-05 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Data Science and Risk Analytics in Finance and Insurance written by Tze Leung Lai and published by CRC Press. This book was released on 2024-10-02 with total page 1098 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Stochastic Processes in Science Engineering and Finance written by Frank Beichelt and published by CRC Press. This book was released on 2006-02-22 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a self-contained introduction to stochastic processes with emphasis on their applications in science, engineering, finance, computer science, and operations research. It provides theoretical foundations for modeling time-dependent random phenomena in these areas and illustrates their application by analyzing numerous practical examples. The treatment assumes few prerequisites, requiring only the standard mathematical maturity acquired by undergraduate applied science students. It includes an introductory chapter that summarizes the basic probability theory needed as background. Numerous exercises reinforce the concepts and techniques discussed and allow readers to assess their grasp of the subject. Solutions to most of the exercises are provided in an appendix. While focused primarily on practical aspects, the presentation includes some important proofs along with more challenging examples and exercises for those more theoretically inclined. Mastering the contents of this book prepares readers to apply stochastic modeling in their own fields and enables them to work more creatively with software designed for dealing with the data analysis aspects of stochastic processes.

Download or read book Robert C Merton and the Science of Finance A Collection written by Luis Garcia-Feijóo and published by CFA Institute Research Foundation. This book was released on 2020 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: In 2019, MIT hosted a 75th birthday symposium in honor of Robert C. Merton. The event included presentations by students and colleagues explaining the influence Merton has had on the profession and on their ideas. Each presenter focused on a specific aspect of Merton’s life and contributions so that the audience could gain a full picture of Merton’s influence while avoiding repetition across presentations. The brief contains edited transcripts of some of the speeches and panel discussions that took place at the symposium. The presentations cover Merton’s career, highlighting both his foundational work on continuous time finance and the functional approach to understanding organizations as well as recent work on retirement security and trust. Some of the presentations unveil new aspects of his life. Merton’s father, Robert K. Merton, was one of the most important sociologists of the 20th century, being the originator of concepts such as role model, unanticipated consequences, and self-fulfilling prophecies. Another of the presentations makes a convincing case for Merton as the first financial engineer; the presenter argues that a body of knowledge becomes a science when a field of engineering emerges from it. If that is the case, this brief achieves two goals. It celebrates the influence of Merton on the theory and practice of finance through a series of engaging presentations, and it traces the birth of finance as a science on its own.

Download or read book The Science of Finance written by Henry Carter Adams and published by . This book was released on 1898 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Solutions Manual to Accompany Corporate Finance written by Stephen A. Ross and published by McGraw-Hill. This book was released on 2009-10 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Solutions Manual contains detailed, worked-out solutions for all of the problems in the end of chapter material. It has also been revised for accuracy by multiple sources. It is also available for purchase by students. The Solutions Manual is prepared by Joseph Smolira, Belmont University

Download or read book The Science of Finance written by Henry Carter Adams and published by . This book was released on 1898 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: