tamilselvanarjun / finmodels Goto Github PK

pip install finmodels

import finmodels as fm
cash_flows = [100, 150, 200, 250]
discount_rate = 0.1
dcf_value = fm.calculate_dcf(cash_flows, discount_rate)
print("DCF Value:", dcf_value)

import finmodels as fm
import numpy as np

# Example usage of portfolio optimization
expected_returns = np.array([0.05, 0.08, 0.12])
covariance_matrix = np.array([[0.001, 0.0005, 0.0002],
                              [0.0005, 0.002, 0.001],
                              [0.0002, 0.001, 0.003]])
optimal_weights = fm.optimize_portfolio(expected_returns, covariance_matrix)
print("Optimal Portfolio Weights:", optimal_weights)

import finmodels as fm
# Example usage
acquisition_price_example = 1000
equity_percentage_example = 0.3
debt_interest_rate_example = 0.05
projection_years_example = 5

# Create an instance of LBOModel
lbo_model = fm.LBOModel(acquisition_price_example, equity_percentage_example,
                     debt_interest_rate_example, projection_years_example)

# Calculate and print equity returns
equity_returns_result = lbo_model.calculate_equity_returns()
print(f"Equity Returns for each year: {equity_returns_result}")

import finmodels as fm
# Example usage
initial_valuation = 500000000  # Initial company valuation before IPO
funds_raised = 100000000  # Funds raised during the IPO
operating_income = 75000000  # Annual operating income before IPO
growth_rate = 0.05  # Annual growth rate of operating income
years = 5  # Number of years for the IPO model

ipo_model = fm.IPOModel(initial_valuation, funds_raised, operating_income, growth_rate, years)
ipo_model.print_summary()