الصفحة 1
الصفحة 1
Implementing machine learning for finance : A systematic approach to predictive risk and performance analysis for investment portfolios
Introduces pattern recognition and future price forecasting that exerts effects on time series analysis models, such as the Autoregressive Integrated Moving Average (ARIMA) model, Seasonal ARIMA (SARIMA) model, and Additive model, and it covers the Least Squares model and the Long Short-Term Memory (LSTM) model. It presents hidden pattern recognition and market regime prediction applying the Gaussian Hidden Markov Model. The book covers the practical application of the K-Means model in stock clustering. It establishes the practical application of the Variance-Covariance method and Simulation method (using Monte Carlo Simulation) for value at risk estimation. It also includes market direction classification using both the Logistic classifier and the Multilayer Perceptron classifier. Finally, the book presents performance and risk analysis for investment portfolios. You will: Understand the fundamentals of the financial market and algorithmic trading, as well as supervised and unsupervised learning models that are appropriate for systematic investment portfolio management / Know the concepts of feature engineering, data visualization, and hyperparameter optimization / Design, build, and test supervised and unsupervised ML and DL models / Discover seasonality, trends, and market regimes, simulating a change in the market and investment strategy problems and predicting market direction and prices / Structure and optimize an investment portfolio with preeminent asset classes and measure the / underlying risk
How the stock market works : A beginner's guide to investment
Cuts through the complex jargon that can alienate newcomers by providing a clear and accessible overview on how the stock market and investing works / Provides guidance on how to safely invest, and covers the responsibilities of being a shareholder to the taxation regime / New to this edition: incorporates changes and fluctuations from 2021 onwards, including the UK's exit from the EU as well as the rise of fake news and its' impact on the financial world and decision making
Handbook of big data analytics ; Vol.2 : Applications in ICT, security and business analytics
Big Data analytics is the complex process of examining big data to uncover information such as correlations, hidden patterns, trends and user and customer preferences, to allow organizations and businesses to make more informed decisions. These methods and technologies have become ubiquitous in all fields of science, engineering, business and management due to the rise of data-driven models as well as data engineering developments using parallel and distributed computational analytics frameworks, data and algorithm parallelization, and GPGPU programming. However, there remain potential issues that need to be addressed to enable big data processing and analytics in real time.
Global investing : A practical guide to the world's best financial opportunities
Relevant information about key stock markets around the world Insights into the underlying dynamics of the world’s major global industries Fulsome discussions on how to evaluate companies within each global industry Advice on how to construct a portfolio of global stocks that will help you to build wealth and protect it during times of stock market weakness Descriptions of free and paid tools that belong on the radar of every successful global investor
Genetic Systems Programming : Theory and Experiences
This book is devoted to reporting innovative and significant progress about the contribution of genetic programming in systems programming. The contributions of this book clearly demonstrate that genetic programming is very effective in solving hard and yet-open problems in systems programming. Followed by an introductory chapter, in the remaining contributed chapters, the reader can easily learn about systems where genetic programming can be applied successfully. These include but are not limited to, information security systems, compilers, data mining systems, stock market prediction systems, robots and automatic programming.
Fundamentals of investments : Valuation and management
Traditionally, investments textbooks tend to fall into one of two camps. The first type has a greater focus on portfolio management and covers a significant amount of portfolio theory. The second type is more concerned with security analysis and generally contains fairly detailed coverage of fundamental analysis as a tool for equity valuation. Today, most texts try to cover all the bases by including some chapters drawn from one camp and some from anothe
Financial markets and institutions
A practical introduction to the workings of today's financial markets and institutions. Moving beyond the descriptions and definitions provided by other textbooks in the field, Financial Markets and Institutions encourages students to understand the connection between the theoretical concepts and their real-world applications. By enhancing students' analytical abilities and concrete problem-solving skills, this textbook prepares students for successful careers in the financial services industry or successful interactions with financial institutions, whatever their jobs
Earnings Management Practices and Its Impact on Companies Average Stock Prices
This study aimed to examine the relationship between Earning's Management and the Stock Price Liquidity for a selected sample of (31) Jordanian industrial Companies listed on Amman stock market for The period of (2017-2021), the importance of this study comes from The Obvious effect of Earning's Management on the Companies Performances by manipulating the Financial reports in Positive or Negative way, therefore this study attempted to examine such impact or Relationship between the dependent variable (Stock Liquidity) and The independent variable (Earning's Management) , using the modified Jonas model through the description analysis to find out the Earnings management practices and using the (SPSS) analysis System to prove the study assumption.
Market engineering : Insights from two decades of research on markets and information
This book provides a broad range of insights on market engineering and information management. It covers topics like auctions, stock markets, electricity markets, the sharing economy, information and emotions in markets, smart decision-making in cities and other systems, and methodological approaches to conceptual modeling and taxonomy development.
Asset prices, booms and recessions : Financial economics from a dynamic perspective
Studies the interaction of the financial market, economic activity and the macroeconomy from a dynamic perspective. The financial market to be studied here encompasses the money and bond market, credit market, stock market and foreign exchange market. Economic activity is described by the activity of firms, banks, households, governments and countries. The book shows how economic activity affects asset prices and the financial market and how asset prices and financial market volatility feed back to economic activity. The focus in this book is on theories, dynamic models and empirical evidence.
Artificial Market Experiments with the U-Mart System
Economics went through great development in the 20th century. This development, which was based mainly on mathematical methods, is not an appropriate method of analyzing markets that change every hour and every day. In a stock market, prices constantly change depending on speculation. U-Mart, a manmade market, has been proposed in order to study such instantly moving markets. Although the U-Mart system is internationally acclaimed for being at the forefront of market research, its use is by no means limited to a small number of researchers on the fringe. The whole system, including its source code, is open and is distributed without charge, testifying to a philosophy of creating and providing a common testbed for research into financial markets.
Artificial Intelligence and COVID Effect on Accounting
This book considers the effects of COVID-19 on accounting, particularly with regard to the role of artificial intelligence in accounting in the post-pandemic business environment. The contributions in the book consider a variety of sectors that have been affected by the pandemic, such as the stock market, forensic accounting, Bitcoin, as well as the economic and educational responses to the pandemic and the aftermath felt by both developing and developed countries.
An Introduction to the Mathematics of Money : Saving and Investing
This is an undergraduate textbook on the basic aspects of personal savings and investing with a balanced mix of mathematical rigor and economic intuition. It uses routine financial calculations as the motivation and basis for tools of elementary real analysis rather than taking the latter as given. Proofs using induction, recurrence relations and proofs by contradiction are covered. Inequalities such as the Arithmetic-Geometric Mean Inequality and the Cauchy-Schwarz Inequality are used. Basic topics in probability and statistics are presented.
Agent-based modeling : The Santa Fe Institute artificial stock market model revisited
An excellent reference to both the learning, and empirical literature in finance." (Krzysztof Piasecki, Zentralblatt MATH, Vol. 1141, 2008) "Norman Ehrentreich was one of the daring few to take on the model, and he has summarized his work and findings in this excellent book. … It is useful primer for anyone interested in getting started in the area of agent-based finance. … It is essential reading for anyone interested in the dynamics of the SFI market in particular, but I also recommend it for others as a useful resource on agent-based financial market design as well." (Blake LeBaron, Journal of Artificial Societies and Social Simulation, Vol. 12 (2), March, 2009)
A practical guide to corporate finance : Breaking the financial lce
Offers an approachable guide to all key concepts within corporate finance. Emphasizing the use of common sense rather than number-crunching models, A practical guide to corporate finance begins with the basics of how to read financial statements and how to estimate future cash flows. It also includes a guide to subjects such as capital budgeting decisions, the cost of financing for businesses, cash and working capital management, The process of business valuation, and how stock markets work. This textbook breaks the financial ice by offering real, practical advice, helping the reader to avoid common pitfalls, and translate the 'financialese', or business jargon that can cause confusion for those without a financial or banking background.
