Financial Modeling

Looking to make your financial models more effective with better data visualization? Design principles can be effective tools in corporate decision-making.

The Python language has the functionality to consign many a VBA-filled spreadsheet, held together with sticky tape, to the recycle bin. Its ease of use and suitability for iterative development lends well to finance-based workflows. We delve into this and provides a brief tutorial.

From abstract spreadsheets to real-world application, financial models have become an inextricable part of business life and an indispensable part of every company’s toolkit. But irrespective of its ubiquitousness as a productivity and decision-making tool, many out there still have a love-hate relationship with it. Finance expert Alberto Bazzana authors a comprehensive “how-to guide,” for both the novices and experts among us, detailing Wall Street’s best practices for intelligent, effective, and error-free financial modeling.

In December 2017, Congress’ tax reform bill, amongst many sweeping changes, reduced the marginal tax rate to 21% from 35% for corporations, and limited their use of interest expense as a tax shield. This article explores the implications of these changes for traditional methods of valuation, including the discounted cash flow (DCF) method and the EBITDA multiple method for the corporate manager and finance professional.

In this tutorial, we will show you how to structure and build a financial model. An accurate, in-depth and well thought out financial model will provide you with the tools with which to project and forecast the future performance of your business.