£120.00

Equity Analytics: Strategies, Models, and Techniques in Computational Finance (Investment Analytics)

Stocks & Shares

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Description

"Equity Analytics: Strategies, Models, and Techniques in Computational Finance" by Dr. Jonathan Kinlay is an indispensable resource for financial professionals seeking to excel in quantitative research, computational finance, and algorithmic trading. As a renowned expert, Dr. Kinlay delivers a comprehensive guide tailored to enhance expertise in these domains. This book offers a clear path through the intricate world of computational finance, financial data analysis, and algorithmic trading. Readers will gain proficiency in applying data science and machine learning techniques to manage vast financial datasets and develop sophisticated trading and investment strategies. The knowledge presented is relevant to postgraduate research and aligns with the needs of financial institutions. Key topics include: • Equities Entity Store: An efficient data framework for comprehensive equity market analysis. • Advanced Single-Stock Analytics: Employing time series models and machine learning for forecasting and trading. • High-Performing Pairs Trading Strategies: Utilizing Kalman filter, Factor Models, and Fractional Integration. • Rigorous Backtesting: Executing strategies within a well-structured framework. • Portfolio Analytics: Exploring Modern Portfolio Theory, Factor Neutral Portfolios, Style Analysis, and Long-Only/Short strategies. • Quantitative Trading Strategies: Implementing momentum, statistical arbitrage, and machine learning-guided optimization. The second edition is released with a significant upgrade to the Equities Entity Store, including: • Expansion of the equity universe to around 7,700 entities. • New entity stores for indices (500 entities) and ETFs (over 2,500 entities). • Integration with Interactive Brokers TWS platform for real-time data, account information, and order execution. • Enhancements to the Equity Analytics software library. The data model now includes unadjusted and adjusted prices, and new metrics such as Convexity, Internal Bar Strength, True Range, and Typical Price. The book and software library have been enriched with new algorithms: • Equity Convexity factor modeling • Vectorized backtesting • Market Timing with ETFs • Dynamic Time Warping • Swing trading strategies using Internal Bar Strength and RSI • Pairs Trading with Fractional Differencing These additions empower professionals with cutting-edge tools and techniques to navigate computational finance and algorithmic trading. Readers will be equipped with unparalleled knowledge and practical skills to excel in these dynamic fields.

Product Specifications

Format: hardcover
ASIN: B0D54KPFK2
Category: Books > Subjects > Business, Finance & Law > Professional Finance > Investments & Securities > Stocks & Shares
Domain: Amazon UK
Release Date: 21 May 2024
Listed Since: 24 May 2024

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Equity Analytics: Strategies, Models, and Techniques in Computational Finance (Investment Analytics)

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