bckhm / Automotive-Pairs-Trade

Quantitative research of the Consumer Discretionary sector in the NYSE and NASDAQ exchanges to find an optimal pair of automotive stocks for use in a pairs trading strategy.

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Automotive Pairs Trading

Quantitative research of the Consumer Discretionary sector in the NYSE and NASDAQ exchanges to find an optimal pair of automotive stocks for use in a pairs trading strategy.

Goal

To employ a means-reversions strategy, whereby we expect reversions to the mean price. We find a cointegrated pair of assets in the automobile industry, using their spread as a financial instrument to be used in the trading strategy, employing the z-scores of the spread as an entry and exit threshold.

Additional Research

Optimal holding period as a potential exit threshold via the Ornstein Uhlenbeck calculation of the spread's mean-reversion half-life. Optimal leverage of the strategy.

Requirements

• Python 3
• statsmodels
• numpy
• pandas
• matplotlib.pyplot
• Jupyter Notebook / Lab    

About

Quantitative research of the Consumer Discretionary sector in the NYSE and NASDAQ exchanges to find an optimal pair of automotive stocks for use in a pairs trading strategy.


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Language:Jupyter Notebook 100.0%