Financial modeling for companies, whether in Bolivia or elsewhere, often requires the use of versatile software tools that can handle a variety of data inputs and provide flexibility in modeling structures. Here are some popular financial modeling software programs that professionals use around the world:

1. **Microsoft Excel**: The most widely used tool for financial modeling. Its versatility, vast array of functions, and add-ins (like the Analysis ToolPak) make it a favorite among financial analysts. With a good understanding of Excel, you can customize financial models specifically for Bolivian companies or any other region.

2. **Quantrix Modeler**: This is a multidimensional modeling software that can be used for financial modeling among other applications. It offers a different approach than the traditional spreadsheet.

3. **Stata**: While more renowned for its statistical capabilities, it also possesses strong financial modeling features, especially for data-heavy analyses.

4. **MATLAB**: Useful for complex financial simulations and analyses, especially when working with large datasets.

5. **Python (with libraries like pandas and NumPy)**: The increasing popularity of Python in the finance world cannot be ignored. With the right libraries, it's a potent tool for financial analysis and modeling.

6. **R**: Another programming language that's strong in data analysis. With the right packages, it can be a powerful tool for financial modeling.

7. **SAS**: This is more of an advanced analytics tool, but it has applications in financial modeling, especially when handling and analyzing vast datasets.

8. **SPSS**: Similar to Stata, it’s more on the statistical side but has been used in financial econometrics and modeling.

9. **EViews**: Widely used for time series analysis and econometric analyses which can be essential for financial modeling, especially in predicting future financial performance.

When valuing Bolivian companies specifically, remember that the software tool is just one part of the equation. You will need accurate and relevant data on the Bolivian market, industry benchmarks, and economic conditions. Additionally, be sure to account for local regulations, accounting practices, and any other specifics that might be relevant to the Bolivian business environment.

If you're unfamiliar with these tools, it might be a good idea to start with Excel since it's the most common and there are countless resources, courses, and tutorials available to get you started with financial modeling in Excel.
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