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Quantopian Lecture Series: Instability of Regression Coefficients

Regression coefficients can lie and be unstable for a variety of reasons. This notebook goes over some warning signs and example cases of which you should be aware.

The lecture will be presented at this meetup. We will be releasing a video lecture as well, watch this thread for a link.

Also in this lecture:

This is part of Quantopian’s Summer Lecture Series. We are currently developing a quant finance curriculum and will be releasing clone-able notebooks and algorithms to teach key concepts. Stay tuned for more. We are also working on a permanent home for all of our notebooks.

Credit for the notebooks goes to Evgenia 'Jenny' Nitishinskaya, and credit for the algorithms goes to David Edwards.

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The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by Quantopian. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. No information contained herein should be regarded as a suggestion to engage in or refrain from any investment-related course of action as none of Quantopian nor any of its affiliates is undertaking to provide investment advice, act as an adviser to any plan or entity subject to the Employee Retirement Income Security Act of 1974, as amended, individual retirement account or individual retirement annuity, or give advice in a fiduciary capacity with respect to the materials presented herein. If you are an individual retirement or other investor, contact your financial advisor or other fiduciary unrelated to Quantopian about whether any given investment idea, strategy, product or service described herein may be appropriate for your circumstances. All investments involve risk, including loss of principal. Quantopian makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.

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The recordings from this lecture are ready. You can view the full lecture or check out the 3 separate topics below:

Disclaimer

The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by Quantopian. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. No information contained herein should be regarded as a suggestion to engage in or refrain from any investment-related course of action as none of Quantopian nor any of its affiliates is undertaking to provide investment advice, act as an adviser to any plan or entity subject to the Employee Retirement Income Security Act of 1974, as amended, individual retirement account or individual retirement annuity, or give advice in a fiduciary capacity with respect to the materials presented herein. If you are an individual retirement or other investor, contact your financial advisor or other fiduciary unrelated to Quantopian about whether any given investment idea, strategy, product or service described herein may be appropriate for your circumstances. All investments involve risk, including loss of principal. Quantopian makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.

I'm getting an out of bounds error re-running the Regime Change graph:

IndexErrorTraceback (most recent call last) in ()
22 ax.plot(pricing, alpha=0.7)
23 ticks = ax.get_xticks()
---> 24 ax.set_xticklabels([pricing.index[i].date() for i in ticks[:-1]]) # Label x-axis with dates
25
26 # Plot the regression lines

IndexError: index 731581 is out of bounds for axis 0 with size 1531

Unfortunately I am not sufficiently familiar with plots to figure out how to fix that one. FYI - I have noticed this one in several previous lectures so clearly it's a compatibility issue with a prior version.