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Product typeBook
Published inSep 2021
PublisherPackt
ISBN-139781801815192
Edition1st Edition
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Author (1)
Laurent Bernut
Laurent Bernut
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Laurent Bernut

Laurent Bernut has 2 decades of experience in alternative investment space. After the US CPA, he compiled financial statements in Japanese and English for a Tokyo Stock Exchange-listed corporation. After serving as an analyst in two Tokyo-based hedge funds, he joined Fidelity Investments Japan as a dedicated quantitative short-seller. Laurent has built numerous portfolio management systems and developed several quantitative models across various platforms. He currently writes and runs algorithmic strategies and is an undisputed authority on short selling on Quora, where he was nominated top writer for 2017, 2018, and 2019.
Read more about Laurent Bernut

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Blending trading styles

As we discovered in Chapter 6, The Trading Edge is a Number, and Here is the Formula, mean reversion strategies have a negative skew. A few titanic losses will sink the ship. Trend following strategies have a positive skew. A few princes will make up for all the frogs. Both strategies have good and bad attributes that can be summarized in the following table:

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Algorithmic Short Selling with Python
Published in: Sep 2021Publisher: PacktISBN-13: 9781801815192

Author (1)

author image
Laurent Bernut

Laurent Bernut has 2 decades of experience in alternative investment space. After the US CPA, he compiled financial statements in Japanese and English for a Tokyo Stock Exchange-listed corporation. After serving as an analyst in two Tokyo-based hedge funds, he joined Fidelity Investments Japan as a dedicated quantitative short-seller. Laurent has built numerous portfolio management systems and developed several quantitative models across various platforms. He currently writes and runs algorithmic strategies and is an undisputed authority on short selling on Quora, where he was nominated top writer for 2017, 2018, and 2019.
Read more about Laurent Bernut

Mean Reversion

Trend Following

Hybrid

Win Rate

High

Low

High

Volatility

Low

High

Low