Download or read book Price Analysis Series written by United States. Office of Price Administration. Division of Research and published by . This book was released on 1943 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Inferring bank to bank competition from dynamic time series analysis of price correlations written by Eduardo Ribeiro and published by Litres. This book was released on 2022-01-29 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: Inferring bank to bank rivalry and competition generally requires the estimation of a full demand model, with high data requirements, unavailable to most researchers. We suggest dynamic time series analysis of price correlations to infer about bank to bank competition, taking into account the well-known criticisms to price correlations for delimiting relevant markets. The method is applied for credit markets in Brazil, where bank monthly loan interest rates time series are available. We conclude that there is little rivalry between large banks in most of the credit markets studied.
Download or read book The Handbook of Technical Analysis Test Bank written by Mark Andrew Lim and published by John Wiley & Sons. This book was released on 2015-12-07 with total page 997 pages. Available in PDF, EPUB and Kindle. Book excerpt: A self study exam preparatory guide for financial technical analysis certifications Written by the course director and owner of www.tradermasterclass.com, a leading source of live and online courses in trading, technical analysis, and money management, A Handbook of Technical Analysis: The Practitioner's Comprehensive Guide to Technical Analysis is the first financial technical analysis examination preparatory book in the market. It is appropriate for students taking IFTA CFTe Level I and II (US), STA Diploma (UK), Dip TA (Aus), and MTA CMT Level I, II, and III exams in financial technical analysis, as well as for students in undergraduate, graduate, or MBA courses. The book is also an excellent resource for serious traders and technical analysts, and includes a chapter dedicated to advanced money management techniques. This chapter helps complete a student's education and also provides indispensable knowledge for FOREX, bond, stock, futures, CFD, and option traders. Learn the definitions, concepts, application, integration, and execution of technical-based trading tools and approaches Integrate innovative techniques for pinpointing and handling market reversals Understand trading mechanisms and advanced money management techniques Examine the weaknesses of popular technical approaches and find more effective solutions The book allows readers to test their current knowledge and then check their learning with end-of-chapter test questions that span essays, multiple choice, and chart-based annotation exercises. This handbook is an essential resource for students, instructors, and practitioners in the field. Alongside the handbook, the author will also publish two full exam preparatory workbooks and a bonus online Q&A Test bank built around the most popular professional examinations in financial technical analysis.
Download or read book TIME SERIES ANALYSIS FORECASTING STOCK PRICE USING MACHINE LEARNING WITH PYTHON GUI written by Vivian Siahaan and published by BALIGE PUBLISHING. This book was released on 2023-07-02 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stock trading and financial instrument markets offer significant opportunities for wealth creation. The ability to predict stock price movements has long intrigued researchers and investors alike. While some theories, like the Efficient Market Hypothesis, suggest that consistently beating the market is nearly impossible, others contest this viewpoint. Stock price prediction involves forecasting the future value of a given stock. In this project, we focus on the S&P 500 Index, which consists of 500 stocks from various sectors of the US economy and serves as a key indicator of US equities. To tackle this task, we utilize the Yahoo stock price history dataset, which contains 1825 rows and 7 columns including Date, High, Low, Open, Close, Volume, and Adj Close. To enhance our predictions, we incorporate technical indicators such as daily returns, Moving Average Convergence-Divergence (MACD), Relative Strength Index (RSI), Simple Moving Average (SMA), lower and upper bands, and standard deviation. In this book, for the forecasting task, we employ various regression algorithms including Linear Regression, Random Forest Regression, Decision Tree Regression, Support Vector Regression, Naïve Bayes Regression, K-Nearest Neighbor Regression, Adaboost Regression, Gradient Boosting Regression, Extreme Gradient Boosting Regression, Light Gradient Boosting Regression, Catboost Regression, MLP Regression, Lasso Regression, and Ridge Regression. These models aim to predict the future Adj Close price of the stock based on historical data. In addition to stock price prediction, we also delve into predicting stock daily returns using machine learning models. We utilize K-Nearest Neighbor Classifier, Random Forest Classifier, Naive Bayes Classifier, Logistic Regression Classifier, Decision Tree Classifier, Support Vector Machine Classifier, LGBM Classifier, Gradient Boosting Classifier, XGB Classifier, MLP Classifier, and Extra Trees Classifier. These models are trained to predict the direction of daily stock returns (positive or negative) based on various features and technical indicators. To assess the performance of these machine learning models, we evaluate several important metrics. Accuracy measures the overall correctness of the predictions, while recall quantifies the ability to correctly identify positive cases (upward daily returns). Precision evaluates the precision of positive predictions, and the F1 score provides a balanced measure of precision and recall. Additionally, we consider macro average, which calculates the average metric value across all classes, and weighted average, which provides a balanced representation considering class imbalances. To enhance the user experience and facilitate data exploration, we develop a graphical user interface (GUI). The GUI is built using PyQt and offers an interactive platform for users to visualize and interact with the data. It provides features such as plotting boundary decisions, visualizing feature distributions and importance, comparing predicted values with true values, displaying confusion matrices, learning curves, model performance, and scalability analysis. The GUI allows users to customize the analysis by selecting different models, time periods, or variables of interest, making it accessible and user-friendly for individuals without extensive programming knowledge. The combination of exploring the dataset, forecasting stock prices, predicting daily returns, and developing a GUI creates a comprehensive framework for analyzing and understanding stock market trends. By leveraging machine learning algorithms and evaluating performance metrics, we gain valuable insights into the accuracy and effectiveness of our predictions. The GUI further enhances the accessibility and usability of the analysis, enabling users to make data-driven decisions and explore the stock market with ease.
Download or read book Trading Price Action Trends written by Al Brooks and published by John Wiley & Sons. This book was released on 2011-11-29 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical guide to profiting from institutional trading trends The key to being a successful trader is finding a system that works and sticking with it. Author Al Brooks has done just that. By simplifying his trading system and trading only 5-minute price charts he's found a way to capture profits regardless of market direction or economic climate. His first book, Reading Price Charts Bar by Bar, offered an informative examination of his system, but it didn't allow him to get into the real nuts and bolts of the approach. Now, with this new series of books, Brooks takes you step by step through the entire process. By breaking down his trading system into its simplest pieces: institutional piggybacking or trend trading (the topic of this particular book in the series), trading ranges, and transitions or reversals, this three book series offers access to Brooks' successful methodology. Price Action Trends Bar by Bar describes in detail what individual bars and combinations of bars can tell a trader about what institutions are doing. This is critical because the key to making money in trading is to piggyback institutions and you cannot do that unless you understand what the charts are telling you about their behavior. This book will allow you to see what type of trend is unfolding, so can use techniques that are specific to that type of trend to place the right trades. Discusses how to profit from institutional trading trends using technical analysis Outlines a detailed and original trading approach developed over the author's successful career as an independent trader Other books in the series include Price Action Trading Ranges Bar by Bar and Price Action Reversals Bar by Bar If you're looking to make the most of your time in today's markets the trading insights found in Price Action Trends Bar by Bar will help you achieve this goal.
Download or read book Chartbook on Prices Wages and Productivity written by United States. Bureau of Labor Statistics and published by . This book was released on 1979 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Analysis of Time Series written by Chris Chatfield and published by CRC Press. This book was released on 2019-04-25 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new edition of this classic title, now in its seventh edition, presents a balanced and comprehensive introduction to the theory, implementation, and practice of time series analysis. The book covers a wide range of topics, including ARIMA models, forecasting methods, spectral analysis, linear systems, state-space models, the Kalman filters, nonlinear models, volatility models, and multivariate models. It also presents many examples and implementations of time series models and methods to reflect advances in the field. Highlights of the seventh edition: A new chapter on univariate volatility models A revised chapter on linear time series models A new section on multivariate volatility models A new section on regime switching models Many new worked examples, with R code integrated into the text The book can be used as a textbook for an undergraduate or a graduate level time series course in statistics. The book does not assume many prerequisites in probability and statistics, so it is also intended for students and data analysts in engineering, economics, and finance.
Download or read book Bulletin of the United States Bureau of Labor Statistics written by and published by . This book was released on 1913 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Trading Systems and Methods written by Perry J. Kaufman and published by John Wiley & Sons. This book was released on 2013-01-10 with total page 1232 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ultimate guide to trading systems, fully revised and updated For nearly thirty years, professional and individual traders have turned to Trading Systems and Methods for detailed information on indicators, programs, algorithms, and systems, and now this fully revised Fifth Edition updates coverage for today's markets. The definitive reference on trading systems, the book explains the tools and techniques of successful trading to help traders develop a program that meets their own unique needs. Presenting an analytical framework for comparing systematic methods and techniques, this new edition offers expanded coverage in nearly all areas, including trends, momentum, arbitrage, integration of fundamental statistics, and risk management. Comprehensive and in-depth, the book describes each technique and how it can be used to a trader's advantage, and shows similarities and variations that may serve as valuable alternatives. The book also walks readers through basic mathematical and statistical concepts of trading system design and methodology, such as how much data to use, how to create an index, risk measurements, and more. Packed with examples, this thoroughly revised and updated Fifth Edition covers more systems, more methods, and more risk analysis techniques than ever before. The ultimate guide to trading system design and methods, newly revised Includes expanded coverage of trading techniques, arbitrage, statistical tools, and risk management models Written by acclaimed expert Perry J. Kaufman Features spreadsheets and TradeStation programs for a more extensive and interactive learning experience Provides readers with access to a companion website loaded with supplemental materials Written by a global leader in the trading field, Trading Systems and Methods, Fifth Edition is the essential reference to trading system design and methods updated for a post-crisis trading environment.
Download or read book CMT Level II 2016 Theory and Analysis written by Market Technician's Association and published by John Wiley & Sons. This book was released on 2015-12-09 with total page 1016 pages. Available in PDF, EPUB and Kindle. Book excerpt: Everything you need to pass Level II of the CMT Program CMT Level II 2016: Theory and Analysis fully prepares you to demonstrate competency applying the principles covered in Level I, as well as the ability to apply more complex analytical techniques. Covered topics address theory and history, market indicators, construction, confirmation, cycles, selection and decision, system testing, statistical analysis, and ethics. The Level II exam emphasizes trend, chart, and pattern analysis, as well as risk management concepts. This cornerstone guidebook of the Chartered Market Technician® Program will provide every advantage to passing Level II.
Download or read book The Review of Economic Statistics written by and published by . This book was released on 1926 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Publisher and Bookseller written by and published by . This book was released on 1863 with total page 1028 pages. Available in PDF, EPUB and Kindle. Book excerpt: Vols. for 1871-76, 1913-14 include an extra number, The Christmas bookseller, separately paged and not included in the consecutive numbering of the regular series.
Download or read book Co movement of major commodity price returns A time series assessment written by de Nicola, Francesca and published by Intl Food Policy Res Inst. This book was released on 2014-06-13 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper provides a comprehensive analysis of the degree of co-movement among the nominal price returns of 11 major energy, agricultural, and food commodities using monthly data between 1970 and 2013. The authors study the extent and the time evolution of unconditional and conditional correlations using a uniform-spacings testing approach, a multivariate dynamic conditional correlation model and a rolling regression procedure.
Download or read book Creating Value with Big Data Analytics written by Peter C. Verhoef and published by Routledge. This book was released on 2016-01-08 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our newly digital world is generating an almost unimaginable amount of data about all of us. Such a vast amount of data is useless without plans and strategies that are designed to cope with its size and complexity, and which enable organisations to leverage the information to create value. This book is a refreshingly practical, yet theoretically sound roadmap to leveraging big data and analytics. Creating Value with Big Data Analytics provides a nuanced view of big data development, arguing that big data in itself is not a revolution but an evolution of the increasing availability of data that has been observed in recent times. Building on the authors’ extensive academic and practical knowledge, this book aims to provide managers and analysts with strategic directions and practical analytical solutions on how to create value from existing and new big data. By tying data and analytics to specific goals and processes for implementation, this is a much-needed book that will be essential reading for students and specialists of data analytics, marketing research, and customer relationship management.
Download or read book Vocational Education Bulletin written by United States. Office of Education. Vocational division and published by . This book was released on 1918 with total page 1524 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advances and Applications of Artificial Intelligence Machine Learning written by Bhuvan Unhelkar and published by Springer Nature. This book was released on 2023-12-21 with total page 782 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume comprises the select peer-reviewed proceedings of the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning 2022 (ICAAAIML 2022). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in the areas of artificial intelligence, machine learning, deep learning, and their advanced applications in computer vision and blockchain. It also covers research in core concepts of computers, intelligent system design and deployment, real-time systems, WSN, sensors and sensor nodes, software engineering, image processing, and cloud computing. This volume will provide a valuable resource for those in academia and industry.
Download or read book Analysis of Work Stoppages 1964 written by United States. Bureau of Labor Statistics and published by . This book was released on 1965 with total page 728 pages. Available in PDF, EPUB and Kindle. Book excerpt:
