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Основной контент книги Quantitative Portfolio Management
Text PDF

Book duration 298 pages

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Quantitative Portfolio Management

The Art and Science of Statistical Arbitrage
Читайте только на Литрес

The book cannot be downloaded as a file, but can be read in our app or online on the website.

$48.76

About the book

Discover foundational and advanced techniques in quantitative equity trading from a veteran insider 

In Quantitative Portfolio Management: The Art and Science of Statistical Arbitrage, distinguished physicist-turned-quant Dr. Michael Isichenko delivers a systematic review of the quantitative trading of equities, or statistical arbitrage. The book teaches you how to source financial data, learn patterns of asset returns from historical data, generate and combine multiple forecasts, manage risk, build a stock portfolio optimized for risk and trading costs, and execute trades. 

In this important book, you’ll discover: 

Machine learning methods of forecasting stock returns in efficient financial markets How to combine multiple forecasts into a single model by using secondary machine learning, dimensionality reduction, and other methods Ways of avoiding the pitfalls of overfitting and the curse of dimensionality, including topics of active research such as “benign overfitting” in machine learning The theoretical and practical aspects of portfolio construction, including multi-factor risk models, multi-period trading costs, and optimal leverage Perfect for investment professionals, like quantitative traders and portfolio managers, Quantitative Portfolio Management will also earn a place in the libraries of data scientists and students in a variety of statistical and quantitative disciplines. It is an indispensable guide for anyone who hopes to improve their understanding of how to apply data science, machine learning, and optimization to the stock market. 

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Age restriction:
0+
Volume:
298 p.
ISBN:
9781119821229
Total size:
3.6 МБ
Total number of pages:
298
Publisher:
Copyright holder:
John Wiley & Sons Limited
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