Profitable Insights into Financial Markets
Check out the updated IPython notebook by following the link. In this update we see the interest rate sensitive sectors like Financials, Real Estate, Utilities may be offering a good tactical buying opportunity.
Check out the updated IPython Notebook where I take a look at changes and trends in ETF valuations using the Implied Cost of Capital model. To learn more about the model and the methodology used see here and here.
For reference here is a Table of Contents, but due to some technical issues the TOC is not working properly on the nbviewer.org page. I'll keep working to fix it for the next issue.
Check out my updated IPython Notebook where I take a look at changes and trends in ETF valuations using the Implied Cost of Capital model. To learn more about the model and the methodology used see here and here.
Check out my updated IPython Notebook where I take a look at changes and trends in ETF valuations using the Implied Cost of Capital model. To learn more about the model and the methodology used see here and here.
This post is part of a series examining the ICC model's use as a valuation tool. I first introduced the topic in this post, where I outlined the following:
Recently I expanded on the subject by detailing the Python code I use to run the analysis along with my interpretations of the output from the model. For detailed coding/quant analysis I will be using the IPython Notebook and NBviewer to distribute and share the code. Unfortunately, Squarespace.com (my current host) doesn't have a good way to show the IPython notebook, so I will post the link to my research with a screenshot below. Take a look and as always I can be contacted @blackarbsCEO for feedback.
AFFILIATE LINK
Powered by Squarespace
