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Author : James Owen Weatherall
Publisher : Short Books
ISBN 13 : 9781780721392
Total Pages : 0 pages
Book Rating : 4.7/5 (213 download)
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.
Author : Anthony M. Criniti (IV.)
Publisher :
ISBN 13 : 9780988459502
Total Pages : 224 pages
Book Rating : 4.4/5 (595 download)
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.
Author : Hariom Tatsat
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492073008
Total Pages : 432 pages
Book Rating : 4.4/5 (92 download)
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
Author : Irene Aldridge
Publisher : John Wiley & Sons
ISBN 13 : 1119602971
Total Pages : 336 pages
Book Rating : 4.1/5 (196 download)
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.
Author : Rachel E S Ziemba
Publisher : World Scientific
ISBN 13 : 9814504769
Total Pages : 586 pages
Book Rating : 4.8/5 (145 download)
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.
Author : Nico van der Wijst
Publisher : Cambridge University Press
ISBN 13 : 1139620266
Total Pages : 449 pages
Book Rating : 4.1/5 (396 download)
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.
Author : Graham L Giller
Publisher : World Scientific
ISBN 13 : 9811251827
Total Pages : 512 pages
Book Rating : 4.8/5 (112 download)
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.'
Author : Sergio Consoli
Publisher : Springer Nature
ISBN 13 : 3030668916
Total Pages : 357 pages
Book Rating : 4.0/5 (36 download)
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.
Author : Isabelle Chambost
Publisher : Routledge
ISBN 13 : 1351016091
Total Pages : 421 pages
Book Rating : 4.3/5 (51 download)
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.
Author : Robert J. Shiller
Publisher : Princeton University Press
ISBN 13 : 140084617X
Total Pages : 312 pages
Book Rating : 4.4/5 (8 download)
Download or read book Finance and the Good Society written by Robert J. Shiller and published by Princeton University Press. This book was released on 2013-04-21 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nobel Prize-winning economist explains why we need to reclaim finance for the common good The reputation of the financial industry could hardly be worse than it is today in the painful aftermath of the 2008 financial crisis. New York Times best-selling economist Robert Shiller is no apologist for the sins of finance—he is probably the only person to have predicted both the stock market bubble of 2000 and the real estate bubble that led up to the subprime mortgage meltdown. But in this important and timely book, Shiller argues that, rather than condemning finance, we need to reclaim it for the common good. He makes a powerful case for recognizing that finance, far from being a parasite on society, is one of the most powerful tools we have for solving our common problems and increasing the general well-being. We need more financial innovation—not less—and finance should play a larger role in helping society achieve its goals. Challenging the public and its leaders to rethink finance and its role in society, Shiller argues that finance should be defined not merely as the manipulation of money or the management of risk but as the stewardship of society's assets. He explains how people in financial careers—from CEO, investment manager, and banker to insurer, lawyer, and regulator—can and do manage, protect, and increase these assets. He describes how finance has historically contributed to the good of society through inventions such as insurance, mortgages, savings accounts, and pensions, and argues that we need to envision new ways to rechannel financial creativity to benefit society as a whole. Ultimately, Shiller shows how society can once again harness the power of finance for the greater good.
Author : Gustav Cohn
Publisher :
ISBN 13 :
Total Pages : 824 pages
Book Rating : 4.3/5 (91 download)
Download or read book The Science of Finance written by Gustav Cohn and published by . This book was released on 1895 with total page 824 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Frank Beichelt
Publisher : CRC Press
ISBN 13 : 9781420010459
Total Pages : 438 pages
Book Rating : 4.0/5 (14 download)
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.
Author : Yves Hilpisch
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492024295
Total Pages : 720 pages
Book Rating : 4.4/5 (92 download)
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.
Author : Matthew F. Dixon
Publisher : Springer Nature
ISBN 13 : 3030410684
Total Pages : 565 pages
Book Rating : 4.0/5 (34 download)
Download or read book Machine Learning in Finance written by Matthew F. Dixon and published by Springer Nature. This book was released on 2020-07-01 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational disciplines in quantitative finance, such as financial econometrics and discrete time stochastic control, with an emphasis on how theory and hypothesis tests inform the choice of algorithm for financial data modeling and decision making. With the trend towards increasing computational resources and larger datasets, machine learning has grown into an important skillset for the finance industry. This book is written for advanced graduate students and academics in financial econometrics, mathematical finance and applied statistics, in addition to quants and data scientists in the field of quantitative finance. Machine Learning in Finance: From Theory to Practice is divided into three parts, each part covering theory and applications. The first presents supervised learning for cross-sectional data from both a Bayesian and frequentist perspective. The more advanced material places a firm emphasis on neural networks, including deep learning, as well as Gaussian processes, with examples in investment management and derivative modeling. The second part presents supervised learning for time series data, arguably the most common data type used in finance with examples in trading, stochastic volatility and fixed income modeling. Finally, the third part presents reinforcement learning and its applications in trading, investment and wealth management. Python code examples are provided to support the readers' understanding of the methodologies and applications. The book also includes more than 80 mathematical and programming exercises, with worked solutions available to instructors. As a bridge to research in this emergent field, the final chapter presents the frontiers of machine learning in finance from a researcher's perspective, highlighting how many well-known concepts in statistical physics are likely to emerge as important methodologies for machine learning in finance.
Author : George G Szpiro
Publisher : Basic Books
ISBN 13 : 0465028152
Total Pages : 322 pages
Book Rating : 4.4/5 (65 download)
Download or read book Pricing the Future written by George G Szpiro and published by Basic Books. This book was released on 2011-11-29 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Options have been traded for hundreds of years, but investment decisions were based on gut feelings until the Nobel Prize -- winning discovery of the Black-Scholes options pricing model in 1973 ushered in the era of the "quants." Wall Street would never be the same. In Pricing the Future, financial economist George G. Szpiro tells the fascinating stories of the pioneers of mathematical finance who conducted the search for the elusive options pricing formula. From the broker's assistant who published the first mathematical explanation of financial markets to Albert Einstein and other scientists who looked for a way to explain the movement of atoms and molecules, Pricing the Future retraces the historical and intellectual developments that ultimately led to the widespread use of mathematical models to drive investment strategies on Wall Street.
Author : Luisa Alemany
Publisher : Cambridge University Press
ISBN 13 : 1108421350
Total Pages : 647 pages
Book Rating : 4.1/5 (84 download)
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.
Author : George Soros
Publisher : John Wiley & Sons
ISBN 13 : 9780471445494
Total Pages : 420 pages
Book Rating : 4.4/5 (454 download)
Download or read book The Alchemy of Finance written by George Soros and published by John Wiley & Sons. This book was released on 2015-06-15 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: George Soros ist unbestritten einer der mächtigsten und gewinnträchtigsten Investoren weltweit; seine Investmentprinzipien sind immer populärer geworden. "The Alchemy of Finance" ist eine Sonderauflage der 1987 erschienenen Originalausgabe des Buches. Sie wurde umfassend aktualisiert und mit erweitertem Vorwort und Einleitung versehen, die Soros zeitlose Investmentstrategien in einen modernen Kontext stellen. Sie enthält ein neues Kapitel, in dem Soros seine Erfolgsgeheimnisse lüftet sowie ein Vorwort des ehemaligen US-Notenbankchefs Paul Volcker. Soros erläutert detailliert seine innovativen Investmentstrategien, die ihm über Jahrzehnte hinweg gute Dienste geleistet haben und gibt eine theoretische und praktische Einschätzung aktueller Finanztrends. "The Alchemy of Finance" erscheint in neuem Design als Band der Reihe 'Wiley's Investment Classics Series'.
