Category: Economics, Finance & Marketing
eBook Details: Paperback: 720 pages Publisher: WOW! eBook; 2nd edition (January 8, 2019) Language: English ISBN-10: 1492024333 ISBN-13: 978-1492024330 eBook Description: Python for Finance: Mastering Data-Driven Finance, 2nd Edition 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 Python for Finance, 2nd 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...
eBook Details: Paperback: 204 pages Publisher: WOW! eBook (October 19, 2021) Language: English ISBN-10: 1098104358 ISBN-13: 978-1098104351 eBook Description: Financial Theory with Python: A Gentle Introduction Nowadays, finance, mathematics, and programming are intrinsically linked. This book provides the relevant foundations of each discipline to give you the major tools you need to get started in the world of computational finance. Draw upon mathematics to learn the foundations of financial theory and Python programming Learn about financial theory, financial data modeling, and the use of Python for computational finance Leverage simple economic models to better understand basic notions of finance and Python...
eBook Details: Paperback: 200 pages Publisher: WOW! eBook (May 27, 2021) Language: English ISBN-10: 1484271092 ISBN-13: 978-1484271094 eBook Description: Implementing Machine Learning for Finance: A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios Bring together machine learning (ML) and deep learning (DL) in financial trading, with an emphasis on investment management. This book explains systematic approaches to investment portfolio management, risk analysis, and performance analysis, including predictive analytics using data science procedures. The Implementing Machine Learning for Finance book introduces pattern recognition and future price forecasting that exerts effects on time series analysis models, such as the Autoregressive...
eBook Details: Paperback: 531 pages Publisher: WOW! eBook; 2nd edition (April 16, 2021) Language: English ISBN-10: 1484268334 ISBN-13: 978-1484268339 eBook Description: Practical C++20 Financial Programming: Problem Solving for Quantitative Finance, Financial Engineering, Business, and Economics Apply C++ to programming problems in the financial industry using this hands-on book, updated for C++20. It explains those aspects of the language that are more frequently used in writing financial software, including the Standard Template Library (STL), templates, and various numerical libraries. Practical C++20 Financial Programming also describes many of the important problems in financial engineering that are part of the day-to-day work of financial...
eBook Details: Paperback: 384 pages Publisher: WOW! eBook (November 26, 2020) Language: English ISBN-10: 1484263723 ISBN-13: 978-1484263723 eBook Description: Machine Learning for Economics and Finance in TensorFlow 2: Deep Learning Models for Research and Industry Find solutions to problems in economics and finance using tools from machine learning. ML has taken time to move into the space of academic economics. This is because empirical work in economics is concentrated on the identification of causal relationships in parsimonious statistical models; whereas machine learning is oriented towards prediction and is generally uninterested in either causality or parsimony. That leaves a gap for both...
