Discussions

Please use this space for overall comments and thoughts on specific issues.

What scenarios are important?

Is information relevant? Too simple or too difficult?

Are these the right areas to focus?

Any different scenarios not covered and should be going forward?

What are practical implications? Can this be used real-time?

How much time is needed to do all this?

Where is the market data  – free or paid – good sources?

Can resources be pooled? And in which areas?

etc., etc.,

Thanx for reading

5 Comments on “Discussions”

  1. Thanks for sending me this. I have just downloaded R, and will see how I manage to bumble through it. A quick overview showed there is a lot of erudition in here that I will have to plow through. I also hope the info here would be applicable to Canada as well.
    Of course wouldn’t have to labour through this if I could have managed to start with a few million. Oh well – Vipin.

    1. Thanx for reading. Happy Revving. It should apply to any country really as long as one gets the comparable data. I was able to search around and found a couple such as https://www.bankofcanada.ca/rates/interest-rates/ For the broad market index returns there was something similar to TSE-SP but that only seemed to go back to 1979. If you have access to any other sites do post that and perhaps we can get,clean and filter data for our purposes.

  2. Awesome start to the journey. My to-do list at this point starts with:

    1. download R software and play with it
    2. Read the referenced materials you have noted.

    When these are done if more are interested and ready we can meet to have a face to face elucidation with Krishna early in the fall.

  3. Surendra:
    Thanx for comments.
    Some aspects of theory may be a little more advanced. But the R-packages that are of interest to us come with documentation and sample data and directions as to use. Some are better than others in terms of user friendliness.
    Overall though, I feel tools provided are generally accessible to all.
    K.

  4. Krishna
    Very commendable presentation on the theory and principles of smart-investing. I can’t imagine the depth of research that went into building these models. At least for me , it would probably take several weeks to really understand and digest the models and apply the tools in personal investing. This course is hardly a lower division 1 or 101 UC system course; it’s more of a graduate 200 series course!! Ideally this should be taught in a classroom as a 3 credit hour MWF 9-10 am /quarter. Nonetheless, I will devote a few hours daily on my own to understand the concepts and apply towards personal financial planning.
    Kudos!!
    Surendra Shenoy

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