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Algorithmic Short Selling with Python

You're reading from Algorithmic Short Selling with Python

Product type Book

Published in Sep 2021

Publisher Packt

ISBN-13 9781801815192

Pages 376 pages

Edition 1st Edition

Languages

Concepts

Financial Technology

Author (1):

Laurent Bernut

Table of Contents (17) Chapters

Preface

The Stock Market Game

10 Classic Myths About Short Selling

Take a Walk on the Wild Short Side

Long/Short Methodologies: Absolute and Relative

Regime Definition

The Trading Edge is a Number, and Here is the Formula

Improve Your Trading Edge

Position Sizing: Money is Made in the Money Management Module

Risk is a Number

Refining the Investment Universe

The Long/Short Toolbox

Signals and Execution

Portfolio Management System

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Index

Appendix: Stock Screening

Structural shorts: the unicorns of the financial services industry

"If you want a guarantee, buy a toaster."

– Clint Eastwood

Once market participants have been burned a few times trying to melt the wings of Icarus stocks, they change approach. They crave certainty. They look for stocks that already tick all the "bad" boxes: Bad company in bad industry with bad products, bad management, bad valuations, bad news flow, bad ratings, and so on. They go on a hunt for structural shorts. Fortunately, there are a lot more companies traveling down the boulevard of failure than up the narrow path of success.

The problem is timing. Every bit of information has a price tag attached to it. This gets discounted in the share price. By the time short sellers accumulate enough evidence to conclude beyond the shadow of a doubt that they have encountered a structural short, institutional long holders have already left the building. The only shareholders...

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Authors (1)

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.

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