The Science Of Finance
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Adventures In Financial Data Science
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Author : Graham L Giller
language : en
Publisher: Giller Investments (New Jersey), LLC
Release Date : 2020-11-17
Adventures In Financial Data Science written by Graham L Giller and has been published by Giller Investments (New Jersey), LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-17 with Business & Economics categories.
Graham Giller is one of Wall Street's original data scientists. Starting his career at Morgan Stanley in the UK, he was an early member of Peter Muller's famous PDT group and went on to run his own investment firm. He was Bloomberg LP's original data science hire and set up the data science team in the Global Data division there. He them moved to J.P. Morgan to take the role of Chief Data Scientist, New Product Development, and was subsequently Head of Data Science Research at J.P. Morgan and Head of Primary Research at Deutsche Bank. This book is briefly a biography but mostly a narrative of Graham's research in the fields of financial, economic, and alternative data. It contains extensive analysis of the true empirical properties of financial data and a detailed exploration of topics including Stock Market Prices, Treasury Bill Rates, LIBOR and Eurodollar Futures, Volatility and Options Prices, Sentiment Analysis on Social Media, Demographics and Survey Research, Time-Series Analysis of the Climate, and work on Language, Politics and Health Care data. 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." It has entertaining tales of a life in quantitative finance and data science including trading UK Government Bonds from 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 brief time spent with Jim Simons, and giving Michael Bloomberg a tutorial on Granger Causality. When an ex-Morgan Stanley colleague was shown this book his response was: "I might pay you quite a lot to not publish – that's a lot of insight into what works and what doesn't."
The Science Of Finance
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Author : Henry Carter Adams
language : en
Publisher:
Release Date : 1898
The Science Of Finance written by Henry Carter Adams and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1898 with Finance categories.
Data Science For Economics And Finance
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Author : Sergio Consoli
language : en
Publisher: Springer Nature
Release Date : 2021-06-09
Data Science For Economics And Finance written by Sergio Consoli and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-09 with Computers categories.
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.
The Science Of Finance
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Author : Gustav Cohn
language : en
Publisher:
Release Date : 1895
The Science Of Finance written by Gustav Cohn and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1895 with Economics categories.
Investing In The Modern Age
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Author : Rachel E S Ziemba
language : en
Publisher: World Scientific
Release Date : 2013-05-21
Investing In The Modern Age written by Rachel E S Ziemba and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-21 with Business & Economics categories.
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.
Entrepreneurial Finance
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Author : Luisa Alemany
language : en
Publisher: Cambridge University Press
Release Date : 2018
Entrepreneurial Finance written by Luisa Alemany and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Entrepreneurship categories.
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.
Data Science And Risk Analytics In Finance And Insurance
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Author : Tze Leung Lai
language : en
Publisher: CRC Press
Release Date : 2024-10-02
Data Science And Risk Analytics In Finance And Insurance written by Tze Leung Lai and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-02 with Business & Economics categories.
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.
The Science Of Financial Market Trading
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Author : Don K. Mak
language : en
Publisher: World Scientific
Release Date : 2003
The Science Of Financial Market Trading written by Don K. Mak and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Science categories.
In this book, Dr Mak views the financial market from a scientific perspective. The book attempts to provide a realistic description of what the market is, and how future research should be developed. The market is a complex phenomenon, and can be forecasted only with errors ? if that particular market can be forecasted at all.The book reviews the scientific literatures on the financial market and describes mathematical procedures which demonstrate that some markets are non-random. How the markets are modeled ? phenomenologically and from first principle ? is explained.It discusses indicators, which are quite objective, rather than price patterns, which are rather subjective. Similarities between indicators in market trading and operators in mathematics are noted, and particularly, between oscillator indicators and derivatives in Calculus. It illustrates why some indicators, e.g., Stochastics, have limited usage. Several new indicators are designed and tested on theoretical waveforms to check their validity and applicability. The indicators have a minimal time lag, which is significant for trading purposes. Common market behaviors like divergences between price and momentum are explained. A skipped convolution technique is introduced to allow traders to pick up market movements at an earlier time. The market is treated as a nonlinear phenomenon. Forecasting of when the market is going to turn is emphasized.
Big Data Science In Finance
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Author : Irene Aldridge
language : en
Publisher: John Wiley & Sons
Release Date : 2021-01-27
Big Data Science In Finance written by Irene Aldridge and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-27 with Computers categories.
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.
Project Finance In Theory And Practice
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Author : Stefano Gatti
language : en
Publisher: Academic Press
Release Date : 2012-08-22
Project Finance In Theory And Practice written by Stefano Gatti and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-22 with Business & Economics categories.
Stefano Gatti describes the theory that underpins this cutting-edge industry, and then provides illustrations and examples from actual practice to illustrate that theory.