Notes:
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What problem does it solve?
This code estimates the equity growth over time based on the appreciation of the property and mortgage payments. -
How can businesses or users benefit from customizing the code?
Users can track how equity grows over time, helping them plan when to sell or refinance a property. -
How can businesses or users adopt the solution further, if needed?
The model can be expanded to simulate different scenarios (e.g., changes in rent income or mortgage rates).
Actual Python Code:
class EquityGrowth:
def __init__(self, initial_property_value, loan_balance, annual_appreciation_rate, mortgage_payment, years):
self.initial_property_value = initial_property_value
self.loan_balance = loan_balance
self.annual_appreciation_rate = annual_appreciation_rate
self.mortgage_payment = mortgage_payment
self.years = years
def equity_growth(self):
equity = []
for year in range(1, self.years + 1):
# Property value grows annually
property_value = self.initial_property_value * (1 + self.annual_appreciation_rate) ** year
# Mortgage balance decreases over time
loan_balance = self.loan_balance - (self.mortgage_payment * year)
# Calculate equity (property value - loan balance)
equity.append(property_value - loan_balance)
return equity
# Example usage
equity = EquityGrowth(initial_property_value=500000, loan_balance=300000, annual_appreciation_rate=0.05,
mortgage_payment=15000, years=10)
print(f"Equity Growth Over Time: {equity.equity_growth()}")
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