How Long to Read Financial Signal Processing and Machine Learning

How Long Does it Take to Read Financial Signal Processing and Machine Learning?

It takes the average reader 5 hours and 14 minutes to read Financial Signal Processing and Machine Learning by Ali N. Akansu

Assuming a reading speed of 250 words per minute. Learn more

Description

The modern financial industry has been required to deal with large and diverse portfolios in a variety of asset classes often with limited market data available. Financial Signal Processing and Machine Learning unifies a number of recent advances made in signal processing and machine learning for the design and management of investment portfolios and financial engineering. This book bridges the gap between these disciplines, offering the latest information on key topics including characterizing statistical dependence and correlation in high dimensions, constructing effective and robust risk measures, and their use in portfolio optimization and rebalancing. The book focuses on signal processing approaches to model return, momentum, and mean reversion, addressing theoretical and implementation aspects. It highlights the connections between portfolio theory, sparse learning and compressed sensing, sparse eigen-portfolios, robust optimization, non-Gaussian data-driven risk measures, graphical models, causal analysis through temporal-causal modeling, and large-scale copula-based approaches. Key features: -Highlights signal processing and machine learning as key approaches to quantitative finance.-Offers advanced mathematical tools for high-dimensional portfolio construction, monitoring, and post-trade analysis problems.-Presents portfolio theory, sparse learning and compressed sensing, sparsity methods for investment portfolios. including eigen-portfolios, model return, momentum, mean reversion and non-Gaussian data-driven risk measures with real-world applications of these techniques.-Includes contributions from leading researchers and practitioners in both the signal and information processing communities, and the quantitative finance community.

How long is Financial Signal Processing and Machine Learning?

Financial Signal Processing and Machine Learning by Ali N. Akansu is 312 pages long, and a total of 78,624 words.

This makes it 105% the length of the average book. It also has 96% more words than the average book.

How Long Does it Take to Read Financial Signal Processing and Machine Learning Aloud?

The average oral reading speed is 183 words per minute. This means it takes 7 hours and 9 minutes to read Financial Signal Processing and Machine Learning aloud.

What Reading Level is Financial Signal Processing and Machine Learning?

Financial Signal Processing and Machine Learning is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Financial Signal Processing and Machine Learning?

Financial Signal Processing and Machine Learning by Ali N. Akansu is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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