Download or read book Machine Learning Approaches in Financial Analytics written by Leandros A. Maglaras and published by Springer Nature. This book was released on with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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Download or read book Derivatives and Hedge Funds written by Stephen Satchell and published by Springer. This book was released on 2016-05-18 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last 20 years hedge funds and derivatives have fluctuated in reputational terms; they have been blamed for the global financial crisis and been praised for the provision of liquidity in troubled times. Both topics are rather under-researched due to a combination of data and secrecy issues. This book is a collection of papers celebrating 20 years of the Journal of Derivatives and Hedge Funds (JDHF). The 18 papers included in this volume represent a small sample of influential papers included during the life of the Journal, representing industry-orientated research in these areas. With a Preface from co-editor of the journal Stephen Satchell, the first part of the collection focuses on hedge funds and the second on markets, prices and products.
Download or read book How can I get started Investing in the Stock Market written by Lokesh Badolia and published by Educreation Publishing. This book was released on 2016-10-27 with total page 63 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is well-researched by the author, in which he has shared the experience and knowledge of some very much experienced and renowned entities from stock market. We want that everybody should have the knowledge regarding the different aspects of stock market, which would encourage people to invest and earn without any fear. This book is just a step forward toward the knowledge of market.
Download or read book Proceedings of the 2010 Academy of Marketing Science AMS Annual Conference written by Dawn R. Deeter-Schmelz and published by Springer. This book was released on 2014-10-23 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: Founded in 1971, the Academy of Marketing Science is an international organization dedicated to promoting timely explorations of phenomena related to the science of marketing in theory, research, and practice. Among its services to members and the community at large, the Academy offers conferences, congresses and symposia that attract delegates from around the world. Presentations from these events are published in this Proceedings series, which offers a comprehensive archive of volumes reflecting the evolution of the field. Volumes deliver cutting-edge research and insights, complimenting the Academy’s flagship journals, the Journal of the Academy of Marketing Science (JAMS) and AMS Review. Volumes are edited by leading scholars and practitioners across a wide range of subject areas in marketing science. This volume includes the full proceedings from the 2010 Academy of Marketing Science (AMS) Annual Conference held in Portland, Oregon.
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Download or read book Machine Learning for Algorithmic Trading written by Stefan Jansen and published by Packt Publishing Ltd. This book was released on 2020-07-31 with total page 822 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key FeaturesDesign, train, and evaluate machine learning algorithms that underpin automated trading strategiesCreate a research and strategy development process to apply predictive modeling to trading decisionsLeverage NLP and deep learning to extract tradeable signals from market and alternative dataBook Description The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This revised and expanded second edition enables you to build and evaluate sophisticated supervised, unsupervised, and reinforcement learning models. This book introduces end-to-end machine learning for the trading workflow, from the idea and feature engineering to model optimization, strategy design, and backtesting. It illustrates this by using examples ranging from linear models and tree-based ensembles to deep-learning techniques from cutting edge research. This edition shows how to work with market, fundamental, and alternative data, such as tick data, minute and daily bars, SEC filings, earnings call transcripts, financial news, or satellite images to generate tradeable signals. It illustrates how to engineer financial features or alpha factors that enable an ML model to predict returns from price data for US and international stocks and ETFs. It also shows how to assess the signal content of new features using Alphalens and SHAP values and includes a new appendix with over one hundred alpha factor examples. By the end, you will be proficient in translating ML model predictions into a trading strategy that operates at daily or intraday horizons, and in evaluating its performance. What you will learnLeverage market, fundamental, and alternative text and image dataResearch and evaluate alpha factors using statistics, Alphalens, and SHAP valuesImplement machine learning techniques to solve investment and trading problemsBacktest and evaluate trading strategies based on machine learning using Zipline and BacktraderOptimize portfolio risk and performance analysis using pandas, NumPy, and pyfolioCreate a pairs trading strategy based on cointegration for US equities and ETFsTrain a gradient boosting model to predict intraday returns using AlgoSeek's high-quality trades and quotes dataWho this book is for If you are a data analyst, data scientist, Python developer, investment analyst, or portfolio manager interested in getting hands-on machine learning knowledge for trading, this book is for you. This book is for you if you want to learn how to extract value from a diverse set of data sources using machine learning to design your own systematic trading strategies. Some understanding of Python and machine learning techniques is required.
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Download or read book Bulletin of the Atomic Scientists written by and published by . This book was released on 1961-05 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Bulletin of the Atomic Scientists is the premier public resource on scientific and technological developments that impact global security. Founded by Manhattan Project Scientists, the Bulletin's iconic "Doomsday Clock" stimulates solutions for a safer world.
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Download or read book China s Insurance and Green Economy Development in the Context of Sustainable Development written by Yuantao Xie and published by Frontiers Media SA. This book was released on 2024-01-03 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Portfolio and Investment Analysis with SAS written by John B. Guerard and published by SAS Institute. This book was released on 2019-04-03 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Choose statistically significant stock selection models using SAS® Portfolio and Investment Analysis with SAS®: Financial Modeling Techniques for Optimization is an introduction to using SAS to choose statistically significant stock selection models, create mean-variance efficient portfolios, and aggressively invest to maximize the geometric mean. Based on the pioneering portfolio selection techniques of Harry Markowitz and others, this book shows that maximizing the geometric mean maximizes the utility of final wealth. The authors draw on decades of experience as teachers and practitioners of financial modeling to bridge the gap between theory and application. Using real-world data, the book illustrates the concept of risk-return analysis and explains why intelligent investors prefer stocks over bonds. The authors first explain how to build expected return models based on expected earnings data, valuation ratios, and past stock price performance using PROC ROBUSTREG. They then show how to construct and manage portfolios by combining the expected return and risk models. Finally, readers learn how to perform hypothesis testing using Bayesian methods to add confidence when data mining from large financial databases.
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Book Details:
- Author : Chief Editor (Author)- Biplab Auddya, Editor- Professor (Dr. ) Bhavanari Satyanarayana, Prof N L Mishra, Dr. Sarika. G, Ibrar Ahmed, (Dr.) Abul Basar, Mr. Jaydeep A. Pandya, Ashish Kumar Bhateja
- Publisher : The Hill Publication
- Release : 2023-07-10
- ISBN : 8196270283
- Pages : 114 pages
Download or read book Multidisciplinary Approach in Arts Science Commerce Volume 5 written by Chief Editor (Author)- Biplab Auddya, Editor- Professor (Dr. ) Bhavanari Satyanarayana, Prof N L Mishra, Dr. Sarika. G, Ibrar Ahmed, (Dr.) Abul Basar, Mr. Jaydeep A. Pandya, Ashish Kumar Bhateja and published by The Hill Publication. This book was released on 2023-07-10 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multidisciplinary Approach/Research/Subject/Education is a unique part of education. By this education students learn and collect knowledge/ideas from different disciplines. The present Book volume is based on the Multidisciplinary Research and introduces on different important topics by research paper contributors like: Socio-Physiological Perspectives of HIV and AIDS : The Inductive Role of HIV Prevention Strategies and Challenges, A Multidisciplinary Approach of IoT Applications in Healthcare, Film Adaptation of MunshiPremchand’s Novel SatranjKeKhiladi, CHINA'S PROJECTS ONE BELT ONE ROUTE: IMPACT ON INDIA, Demographic market segmentation of foreign tourist visiting hill district of Uttarakhand of India, Interference Mitigation Techniques in Cellular Vehicle-to- Everything (CV2X) Communications, Analyzing the Challenges and Prospects of Gross Enrollment Ratio (GER) in Higher Education, ETHICS IN E-REATAILING: A DESCRIPTIVE STUDY ON ETHICAL ISSUSES IN E-RETAILING, AN OVERVIEW OF THE BENEFITS OF USING CLOUD COMPUTING, A Study of Some Applications of Mathematical Science in Science, Arts and Commerce, A STUDY ON PERFORMANCE OF SMALL BUSINESS DURING LOCKDOWN, ROLE OF PUBLIC LIBRARIES TO ACHIEVED SUSTAINABLE DEVELOPMENT GOAL 4, An Analysis of Health Hazards on Wearable Devices, MARGINALISATION IN THE SELECT WORKS OF BHARATI MUKHERJEE-A STUDY, The Ecological Transformation in Undivided Midnapore District and Its Impact on Live Hood - Nineteenth Century to Present Time, REVITALIZING BANKING RELATIONSHIPS: UNLEASHING THE POWER OF CUSTOMER-CENTRIC CRM, A STUDY ON ENVISIONING CULTURAL AND HERITAGE TOURISM IN INDIA. Thanks to The Hill Publication, all Editors and all Research Paper Contributors of this Book {Multidisciplinary Approach in Arts, Science & Commerce (Volume-5)}.
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Download or read book Bulletin of the Atomic Scientists written by and published by . This book was released on 1953-05 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Bulletin of the Atomic Scientists is the premier public resource on scientific and technological developments that impact global security. Founded by Manhattan Project Scientists, the Bulletin's iconic "Doomsday Clock" stimulates solutions for a safer world.
Download or read book Quantitative Value Investing written by William Johnson and published by HiTeX Press. This book was released on 2024-10-16 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Quantitative Value Investing: Systematic Approaches to Stock Selection" offers a comprehensive exploration of combining classical value investing principles with modern quantitative techniques to enhance investment performance. This book demystifies the intricacies of financial markets and equips readers with the skills to develop robust, data-driven strategies that capitalize on market inefficiencies. With clarity and precision, it delves into essential topics such as financial analysis, portfolio management, risk assessment, and the application of cutting-edge machine learning models, ensuring a well-rounded understanding for practitioners at all levels. Designed for both novice and experienced investors, the book provides a structured framework that navigates the complexities of today's dynamic market environment. By focusing on practical applications and backed by empirical research, it empowers readers to make informed decisions, optimize their portfolios, and ultimately achieve sustained financial success. Whether you aim to refine your investment methodology or explore the potential of quantitative analysis, this book stands as a vital resource in the pursuit of superior returns and strategic excellence in value investing.
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