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Visual Exploration Of Financial Time Series
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Book Synopsis Visual Exploration of Financial Time Series by : Su Te Lei
Download or read book Visual Exploration of Financial Time Series written by Su Te Lei and published by . This book was released on 2011 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Financial time series analysis is challenging due to the uncertainty and investment dynamics caused by various unforeseeable and often incalculable factors. Current visual tools in financial technical analysis provide limited features that are unable to meet professional analysts' needs. This dissertation presents a novel set of visualizations for visually exploring financial time series. The set of visualizations are designed based on a number of investment issues collected from professional analysts. Existing information visualization methods related to financial and time-oriented data are discussed and serve as guidelines for improvements. In addition, this dissertation introduces the concept of visual signature for conveying unique messages on financial time series. Through visual signatures, one can understand the performance of stock market without reading any text or data manipulation. User evaluations show promising results in the set of proposed visualizations.
Book Synopsis Visual Exploration and Discovery of Atypical Behavior in Financial Time Series Data Using Two-dimensional Colormaps by : Hartmut Ziegler
Download or read book Visual Exploration and Discovery of Atypical Behavior in Financial Time Series Data Using Two-dimensional Colormaps written by Hartmut Ziegler and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Visualization of Time-Oriented Data by : Wolfgang Aigner
Download or read book Visualization of Time-Oriented Data written by Wolfgang Aigner and published by Springer Nature. This book was released on 2023-12-21 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book. Time is an exceptional dimension with high relevance in medicine, engineering, business, science, biography, history, planning, or project management. Understanding time-oriented data via visual representations enables us to learn from the past in order to predict, plan, and build the future. This second edition builds upon the great success of the first edition. It maintains a brief introduction to visualization and a review of historical time-oriented visual representations. At its core, the book develops a systematic view of the visualization of time-oriented data. Separate chapters discuss interaction techniques and computational methods for supporting the visual data analysis. Many examples and figures illustrate the introduced concepts and techniques. So, what is new for the second edition? First of all, the second edition is now published as an open-access book so that anyone interested in the visualization of time and time-oriented data can read it. Second, the entire content has been revised and expanded to represent state-of-the-art knowledge. The chapter on interaction support now includes advanced methods for interacting with visual representations of time-oriented data. The second edition also covers the topics of data quality as well as segmentation and labeling. The comprehensive survey of classic and contemporary visualization techniques now provides more than 150 self-contained descriptions accompanied by illustrations and corresponding references. A completely new chapter describes how the structured survey can be used for the guided selection of suitable visualization techniques. For the second edition, our TimeViz Browser, the digital pendant to the survey of visualization techniques, received a major upgrade. It includes the same set of techniques as the book, but comes with additional filter and search facilities allowing scientists and practitioners to find exactly the solutions they are interested in.
Book Synopsis Analysis of Financial Time Series by : Ruey S. Tsay
Download or read book Analysis of Financial Time Series written by Ruey S. Tsay and published by John Wiley & Sons. This book was released on 2005-09-15 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides statistical tools and techniques needed to understandtoday's financial markets The Second Edition of this critically acclaimed text provides acomprehensive and systematic introduction to financial econometricmodels and their applications in modeling and predicting financialtime series data. This latest edition continues to emphasizeempirical financial data and focuses on real-world examples.Following this approach, readers will master key aspects offinancial time series, including volatility modeling, neuralnetwork applications, market microstructure and high-frequencyfinancial data, continuous-time models and Ito's Lemma, Value atRisk, multiple returns analysis, financial factor models, andeconometric modeling via computation-intensive methods. The author begins with the basic characteristics of financialtime series data, setting the foundation for the three maintopics: Analysis and application of univariate financial timeseries Return series of multiple assets Bayesian inference in finance methods This new edition is a thoroughly revised and updated text,including the addition of S-Plus® commands and illustrations.Exercises have been thoroughly updated and expanded and include themost current data, providing readers with more opportunities to putthe models and methods into practice. Among the new material addedto the text, readers will find: Consistent covariance estimation under heteroscedasticity andserial correlation Alternative approaches to volatility modeling Financial factor models State-space models Kalman filtering Estimation of stochastic diffusion models The tools provided in this text aid readers in developing adeeper understanding of financial markets through firsthandexperience in working with financial data. This is an idealtextbook for MBA students as well as a reference for researchersand professionals in business and finance.
Book Synopsis Visual Market Sector Analysis for Financial Time Series Data by : Hartmut Ziegler
Download or read book Visual Market Sector Analysis for Financial Time Series Data written by Hartmut Ziegler and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Trajectory-based Visual Analysis of Large Financial Time Series Data by :
Download or read book Trajectory-based Visual Analysis of Large Financial Time Series Data written by and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Time Series written by Ngai Hang Chan and published by John Wiley & Sons. This book was released on 2004-04-05 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Elements of Financial Time Series fills a gap in the market in the area of financial time series analysis by giving both conceptual and practical illustrations. Examples and discussions in the later chapters of the book make recent developments in time series more accessible. Examples from finance are maximized as much as possible throughout the book. * Full set of exercises is displayed at the end of each chapter. * First seven chapters cover standard topics in time series at a high-intensity level. * Recent and timely developments in nonstandard time series techniques are illustrated with real finance examples in detail. * Examples are systemically illustrated with S-plus with codes and data available on an associated Web site.
Book Synopsis Handbook of Human Centric Visualization by : Weidong Huang
Download or read book Handbook of Human Centric Visualization written by Weidong Huang and published by Springer Science & Business Media. This book was released on 2013-08-13 with total page 742 pages. Available in PDF, EPUB and Kindle. Book excerpt: Visualizations are visual representations of non-visual data. They are produced for people to interact with and to make sense of the underlying data. Rapid advances in display technology and computer power have enabled researchers to produce visually appealing pictures. However, the effectiveness of those pictures in conveying the embedded information to end users has not been fully explored. Handbook of Human Centric Visualization addresses issues related to design, evaluation and application of visualizations. Topics include visualization theories, design principles, evaluation methods and metrics, human factors, interaction methods and case studies. This cutting-edge book includes contributions from well-established researchers worldwide, from diverse disciplines including psychology, visualization and human-computer interaction. This handbook is designed for a professional audience composed of practitioners, lecturers and researchers working in the field of computer graphics, visualization, human-computer interaction and psychology. Undergraduate and postgraduate students in science and engineering focused on this topic will also find this book useful as a comprehensive textbook or reference.
Book Synopsis Modeling Financial Time Series with S-PLUS by : Eric Zivot
Download or read book Modeling Financial Time Series with S-PLUS written by Eric Zivot and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of financial econometrics has exploded over the last decade This book represents an integration of theory, methods, and examples using the S-PLUS statistical modeling language and the S+FinMetrics module to facilitate the practice of financial econometrics. This is the first book to show the power of S-PLUS for the analysis of time series data. It is written for researchers and practitioners in the finance industry, academic researchers in economics and finance, and advanced MBA and graduate students in economics and finance. Readers are assumed to have a basic knowledge of S-PLUS and a solid grounding in basic statistics and time series concepts. This Second Edition is updated to cover S+FinMetrics 2.0 and includes new chapters on copulas, nonlinear regime switching models, continuous-time financial models, generalized method of moments, semi-nonparametric conditional density models, and the efficient method of moments. Eric Zivot is an associate professor and Gary Waterman Distinguished Scholar in the Economics Department, and adjunct associate professor of finance in the Business School at the University of Washington. He regularly teaches courses on econometric theory, financial econometrics and time series econometrics, and is the recipient of the Henry T. Buechel Award for Outstanding Teaching. He is an associate editor of Studies in Nonlinear Dynamics and Econometrics. He has published papers in the leading econometrics journals, including Econometrica, Econometric Theory, the Journal of Business and Economic Statistics, Journal of Econometrics, and the Review of Economics and Statistics. Jiahui Wang is an employee of Ronin Capital LLC. He received a Ph.D. in Economics from the University of Washington in 1997. He has published in leading econometrics journals such as Econometrica and Journal of Business and Economic Statistics, and is the Principal Investigator of National Science Foundation SBIR grants. In 2002 Dr. Wang was selected as one of the "2000 Outstanding Scholars of the 21st Century" by International Biographical Centre.
Book Synopsis Financial Analysis and Risk Management by : Victoria Lemieux
Download or read book Financial Analysis and Risk Management written by Victoria Lemieux and published by Springer Science & Business Media. This book was released on 2012-10-20 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Global Financial Crisis and the Eurozone crisis that has followed have drawn attention to weaknesses in financial records, information and data. These weaknesses have led to operational risks in financial institutions, flawed bankruptcy and foreclosure proceedings following the Crisis, and inadequacies in financial supervisors’ access to records and information for the purposes of a prudential response. Research is needed to identify the practices that will provide the records, information and data needed to support more effective financial analysis and risk management. The unique contribution of this volume is in bringing together researchers in distinct domains that seldom interact to identify theoretical, technological, policy and practical issues related to the management of financial records, information and data. The book will, therefore, appeal to researchers or advanced practitioners in the field of finance and those with an interest in risk management, computer science, cognitive science, sociology, management information systems, information science, and archival science as applied to the financial domain.
Book Synopsis Modelling Financial Time Series by : Stephen J. Taylor
Download or read book Modelling Financial Time Series written by Stephen J. Taylor and published by World Scientific. This book was released on 2008 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains several innovative models for the prices of financial assets. First published in 1986, it is a classic text in the area of financial econometrics. It presents ARCH and stochastic volatility models that are often used and cited in academic research and are applied by quantitative analysts in many banks. Another often-cited contribution of the first edition is the documentation of statistical characteristics of financial returns, which are referred to as stylized facts.This second edition takes into account the remarkable progress made by empirical researchers during the past two decades from 1986 to 2006. In the new Preface, the author summarizes this progress in two key areas: firstly, measuring, modelling and forecasting volatility; and secondly, detecting and exploiting price trends.
Book Synopsis Basic Concepts Of Financial Management by : Mr. Vinod Repalli
Download or read book Basic Concepts Of Financial Management written by Mr. Vinod Repalli and published by Academic Guru Publishing House. This book was released on 2024-03-11 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to present a clear and brief overview of essential financial concepts without overloading the reader with superfluous jargon or technical information. This is the goal from the beginning of the writing process. This book is intended to serve as a thorough guide for anybody interested in taking charge of their finances, whether they are a business student who is trying to get an understanding of the fundamentals of finance, an entrepreneur who is looking to improve the management of the finances of their firm or just someone who wants to take action. This book provides an introduction to the purpose and goals of financial management. It also explains why it is essential for the success and sustainability of any company. Following that, one can go into important issues such as financial statements, budgeting, the time value of money, risk and return, capital budgeting, and choices on financing. To highlight fundamental ideas and show how they can be implemented in a variety of settings, make use of real-world examples, and case studies, including practical exercises throughout the whole of the book. In addition, it provides advice, recommendations, and recommendations for best practices that have been acquired from the combined expertise in the area of finance. The objective is to assist readers in developing the critical thinking skills that are necessary to traverse the intricacies of financial decision-making.
Book Synopsis 17th International Conference on Information Technology–New Generations (ITNG 2020) by : Shahram Latifi
Download or read book 17th International Conference on Information Technology–New Generations (ITNG 2020) written by Shahram Latifi and published by Springer Nature. This book was released on 2020-05-11 with total page 691 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the 17th International Conference on Information Technology—New Generations (ITNG), and chronicles an annual event on state of the art technologies for digital information and communications. The application of advanced information technology to such domains as astronomy, biology, education, geosciences, security, and healthcare are among the themes explored by the ITNG proceedings. Visionary ideas, theoretical and experimental results, as well as prototypes, designs, and tools that help information flow to end users are of special interest. Specific topics include Machine Learning, Robotics, High Performance Computing, and Innovative Methods of Computing. The conference features keynote speakers; a best student contribution award, poster award, and service award; a technical open panel, and workshops/exhibits from industry, government, and academia.
Book Synopsis Financial Data Science with SAS by : Babatunde O Odusami
Download or read book Financial Data Science with SAS written by Babatunde O Odusami and published by SAS Institute. This book was released on 2024-06-14 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore financial data science using SAS. Financial Data Science with SAS provides readers with a comprehensive explanation of the theoretical and practical implementation of the various types of analytical techniques and quantitative tools that are used in the financial services industry. This book shows readers how to implement data visualization, simulation, statistical predictive models, machine learning models, and financial optimizations using real-world examples in the SAS Analytics environment. Each chapter ends with practice exercises that include use case scenarios to allow readers to test their knowledge. Designed for university students and financial professionals interested in boosting their data science skills, Financial Data Science with SAS is an essential reference guide for understanding how data science is used in the financial services industry and for learning how to use SAS to solve complex business problems.
Book Synopsis Handbook of Financial Data and Risk Information II by : Margarita S. Brose
Download or read book Handbook of Financial Data and Risk Information II written by Margarita S. Brose and published by Cambridge University Press. This book was released on 2014-01-09 with total page 575 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive resource for understanding the issues involved in collecting, measuring and managing data in the financial services industry.
Book Synopsis A Novel Explorative Visualization Tool for Financial Time Series Data Analysis by : Matthias Schäfer
Download or read book A Novel Explorative Visualization Tool for Financial Time Series Data Analysis written by Matthias Schäfer and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis High-Utility Pattern Mining by : Philippe Fournier-Viger
Download or read book High-Utility Pattern Mining written by Philippe Fournier-Viger and published by Springer. This book was released on 2019-01-18 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an overview of techniques for discovering high-utility patterns (patterns with a high importance) in data. It introduces the main types of high-utility patterns, as well as the theory and core algorithms for high-utility pattern mining, and describes recent advances, applications, open-source software, and research opportunities. It also discusses several types of discrete data, including customer transaction data and sequential data. The book consists of twelve chapters, seven of which are surveys presenting the main subfields of high-utility pattern mining, including itemset mining, sequential pattern mining, big data pattern mining, metaheuristic-based approaches, privacy-preserving pattern mining, and pattern visualization. The remaining five chapters describe key techniques and applications, such as discovering concise representations and regular patterns.
