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Forecasting Using Financial Statements

Forecasting Using Financial Statements

2h 6mIntermediate2017-11-08

Authors

Yash Patel

Yash Patel

Instructor and Instructional Designer at LinkedIn Learning

Course details

Learn where a company is headed and the resources it will need to succeed. Forecasting Using Financial Statements provides a deep dive into the mathematics of financial forecasting. Dig into the numbers and find out how to build a complete forecast from start to finish, using Excel or Google Sheets. Yash Patel dissects an income statement and balance sheet to calculate pro-forma predictions for revenue, equipment, sales cost, and more. He also shows the math behind simple forecasting techniques, such as the naive approach, simple moving average, and exponential smoothing. He also shows how to build cash flow projections, calculating earnings before interest and taxes, depreciation and capital expenditures, and net working capital. Yash also uses data to create regressions that can extrapolate and forecast for a given independent value. By the end of this course, you should be able to provide projections for a business using nothing more than commonly available financial statements.

Learning objectives
Explain the four different types of financial statements.
Distinguish between the types of moving averages.
Determine a seasonal adjusted trend.
Break down pro-forma financial statements.
Identify cash flows, and what increased liabilities and decreased earnings generally indicate.
Tell what a regression is.
Outline the naive approach.

Skills covered

Corporate FinanceFinance and AccountingDeep Dive (X:Y)

Concepts

0. Introduction

  • 01 - Welcome
  • 02 - What you should know
  • 03 - Exercise files

1. Finance Basics

  • 04 - What is finance
  • 05 - The four different financial statements
  • 06 - The accounting equation
  • 07 - Financial forecasting

2. Simple Financial Forecasting

  • 08 - Naive approach
  • 09 - Simple moving average
  • 10 - Weighted moving average
  • 11 - Seasonal adjusted trend
  • 12 - Simple exponential smoothing

3. Pro Forma Financial Statements

  • 13 - Contextualize the situation
  • 14 - Pro forma and operationalization
  • 15 - Percent of sales forecasting
  • 16 - Property, plant, and equipment
  • 17 - Borrowing and interest expense
  • 18 - Income tax expense
  • 19 - Equity and cash
  • 20 - Make adjustments

4. Projecting Cash Flows

  • 21 - Cash flows vs. pro forma statements
  • 22 - Earnings before interest and taxes
  • 23 - Depreciation and capital expenditures
  • 24 - Net working capital and free cash flow

5. Introduction to Regression Analysis

  • 25 - What is a regression
  • 26 - Univariate example
  • 27 - Hidden variables
  • 28 - Multivariate example

Conclusion

  • 29 - Next steps

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