added ipo model for new version 2.0.0

README.md

@@ -7,6 +7,13 @@
 
 `Portfolio Optimization`: Optimize portfolio allocations using Mean-Variance Optimization to balance returns and risk.
 
+`The Leveraged Buyout (LBO) Model`: LBO Model is a financial analysis tool used in corporate finance for 
+
+evaluating the acquisition of a company using a significant amount of borrowed funds.
+
+`IPO Model`: IPO Model is a simple Python script for calculating the Initial Public Offering (IPO) valuation using a discounted cash flow (DCF) model.
+
+
 #### Installation
 
 You can install the package using `pip`:
@@ -58,6 +65,20 @@ equity_returns_result = lbo_model.calculate_equity_returns()
 print(f"Equity Returns for each year: {equity_returns_result}")
 ```
 
+#### Example usage of IPO Model
+```
+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()
+```
+
 #### Contributors
 Tamilselvan Arjunan
 #### License

build/lib/finmodels/__init__.py

@@ -2,4 +2,5 @@
 from .dcf import calculate_dcf
 from .portfolio_optimization import optimize_portfolio
 from .lbo import LBOModel
+from .ipo import IPOModel
 

build/lib/finmodels/ipo.py

@@ -0,0 +1,30 @@
+class IPOModel:
+    def __init__(self, initial_valuation, funds_raised, operating_income, growth_rate, years):
+        self.initial_valuation = initial_valuation
+        self.funds_raised = funds_raised
+        self.operating_income = operating_income
+        self.growth_rate = growth_rate
+        self.years = years
+
+    def calculate_ipo_valuation(self):
+        # Calculate the IPO valuation using a simple discounted cash flow (DCF) model
+        discount_factor = 1 / (1 + self.growth_rate)
+        future_cash_flows = [self.operating_income * (discount_factor ** year) for year in range(1, self.years + 1)]
+        total_cash_flows = sum(future_cash_flows)
+        ipo_valuation = self.initial_valuation + total_cash_flows + self.funds_raised
+        return ipo_valuation
+
+    def print_summary(self):
+        ipo_valuation = self.calculate_ipo_valuation()
+        print(f"IPO Valuation after {self.years} years: ${ipo_valuation:,.2f}")
+
+
+# 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 = IPOModel(initial_valuation, funds_raised, operating_income, growth_rate, years)
+#ipo_model.print_summary()

build/lib/finmodels/lbo.py

@@ -66,4 +66,5 @@ def calculate_equity_returns(self):
 # Calculate and print equity returns (commented out)
 # equity_returns_result = lbo_model.calculate_equity_returns()
 # print(f"Equity Returns for each year: {equity_returns_result}")
+#
 

finmodels.egg-info/PKG-INFO

@@ -1,6 +1,6 @@
 Metadata-Version: 2.1
 Name: finmodels
-Version: 1.0.2
+Version: 2.0.0
 Summary: finmodels is a Python package that provides various financial models for analysis and optimization.
 Home-page: https://github.com/arjunlimat/finmodels
 Author: Tamilselvan_Arjunan
@@ -21,6 +21,13 @@ Requires-Dist: cvxpy
 
 `Portfolio Optimization`: Optimize portfolio allocations using Mean-Variance Optimization to balance returns and risk.
 
+`The Leveraged Buyout (LBO) Model`: LBO Model is a financial analysis tool used in corporate finance for 
+
+evaluating the acquisition of a company using a significant amount of borrowed funds.
+
+`IPO Model`: IPO Model is a simple Python script for calculating the Initial Public Offering (IPO) valuation using a discounted cash flow (DCF) model.
+
+
 #### Installation
 
 You can install the package using `pip`:
@@ -72,6 +79,20 @@ equity_returns_result = lbo_model.calculate_equity_returns()
 print(f"Equity Returns for each year: {equity_returns_result}")
 ```
 
+#### Example usage of IPO Model
+```
+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()
+```
+
 #### Contributors
 Tamilselvan Arjunan
 #### License

finmodels.egg-info/SOURCES.txt

@@ -2,6 +2,7 @@ README.md
 setup.py
 finmodels/__init__.py
 finmodels/dcf.py
+finmodels/ipo.py
 finmodels/lbo.py
 finmodels/portfolio_optimization.py
 finmodels.egg-info/PKG-INFO

finmodels/__init__.py

@@ -2,4 +2,5 @@
 from .dcf import calculate_dcf
 from .portfolio_optimization import optimize_portfolio
 from .lbo import LBOModel
+from .ipo import IPOModel
 

finmodels/lbo.py

@@ -66,4 +66,5 @@ def calculate_equity_returns(self):
 # Calculate and print equity returns (commented out)
 # equity_returns_result = lbo_model.calculate_equity_returns()
 # print(f"Equity Returns for each year: {equity_returns_result}")
+#
 

setup.py

@@ -5,7 +5,7 @@
 
 setup(
     name='finmodels',
-    version='1.0.2',
+    version='2.0.0',
     packages=find_packages(),
     install_requires=[
         'numpy',