find_rent_price_intersection.py allows you to find what rent is about equal to buying in terms of return for a given number of parameters when considering a bunch of parameters (interest_rate, property price, downpayment, investment return percentage, service charge etc).
Example run output: Console:
Metric Value
0 Total Buying Cost 125234.03962
1 Total Renting Cost 152672.578423
2 Total Buy Future Value 11928.773483
3 Total Rent Future Value 11929.167622
4 Future Value of Investment 164601.746045
5 Future Value of Rent Savings 0.0
6 Future Value of Buy Savings 30986.951535
7 Future Property Value 457913.259349
8 Current rent price 2790.850894
9 Monthly mortgage payment 1351.875
10 Total Monthly Buying Costs 2087.254203
11 Difference 0.394139
12 Decision Renting is better than buying.
Minimum rent to justify property price given parameters: 2320.528030395508
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example.py just plays the parameters of a given rent vs buy simulation for as long as specified, prints out stats like the final difference and a graph showing each year. Console:
Metric Value
0 Total Buying Cost 225422.241345
1 Total Renting Cost 383713.267844
2 Total Buy Future Value 136871.749967
3 Total Rent Future Value -175907.355886
4 Future Value of Investment 207805.911957
5 Future Value of Rent Savings 0.0
6 Future Value of Buy Savings 200370.145928
7 Future Property Value 515385.407613
8 Current rent price 4182.066385
9 Monthly mortgage payment 1351.875
10 Total Monthly Buying Costs 2087.254203
11 Difference 312779.105853
12 Decision Buying is better than renting.
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