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OVERVIEW

This simulation and model is devised as an attempt to discover actual returns an investor should expect from residential real estate, assuming that future markets will behave similarly to past markets.

I don't assume that future markets will perform similarly to past markets, but rather that they will be behaviorally similar to past markets.

USAGE

    usage: simulate.py [-h] [--years [Y]] [--file [F]] [--count [C]]

    Simulate performance of investment

    optional arguments:
      -h, --help   show this help message and exit
      --years [Y]  number of years to simulate
      --file [F]   filename containing housing data
      --count [C]  number of simulations to run

DATA

All data provided by the St. Louis Federal Reserve (FRED).

S&P/Case-Shiller Home Price Indices (Percent Change) https://fred.stlouisfed.org/series/SPCS10RSA/downloaddata

NOTES:

If you download the SPCS10RSA.csv datafile again, make sure to set the first row value for VALUE to 0.0, otherwise it will interpret the entire column in the .csv as str()

AUTHOR

Josh Peck - jmp@joshpeck.org

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simulator for estimating housing returns

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