## Course curriculum

• 1

### Introduction

• Welcome

• Course introduction

• 2

### Discounted Cash Flows

• Session objectives

• The basic idea

• The discount rate

• Which is more valuable to you?

• The time value of money

• A simple example

• Compounding and discounting

• Interactive exercise 1

• NPV introduction

• NPV demonstration

• NPV exercise

• Annuities introduction

• Understanding annuities

• The annuity factor

• Interactive exercise 2

• Annuity tables

• Annuity demonstration

• Annuity exercise

• Perpetuity

• Perpetuity example

• Constant perpetuity

• Growing perpetuity

• Interactive exercise 3

• Perpetuity demonstration

• Prize draw exercise

• Session conlusion

• 3

### Bond Pricing and Yields

• Session objectives

• Bonds

• Par value

• Forecasting cash flows

• Coupon rate and yield to maturity

• Interactive exercise 4

• Valuing a bond

• Setting up the cash flow

• Annual bond demonstration

• Annual bond exercise

• Semi annual bond cash flows

• Semi annual bond yield to maturity

• Semi annual diagram of cash flow

• Interactive exercise 5

• Semi annual bond demonstration

• Semi annual bond exercise

• Yield to maturity

• Break down of YTM

• Bond prices and yield

• YTM and current yield

• Relationship between yields

• Interactive exercise 6

• Bond pricing and yields exercise

• Session conclusion

• 4

### Key Statistical Skills

• Session objectives

• Measures of central tendency

• Arithmetic mean

• Weighted mean

• WACC

• Quiz

• WACC equation

• Expected values

• Expected values demonstration

• Expected values exercise

• Moving averages

• Simple moving average

• Simple moving example

• Interactive exercise 7

• Weighted moving average

• Weighted moving example

• Weighted moving average demonstration

• Moving average exercise

• Measures of dispersion

• Range

• Variance

• Variance example

• Quiz

• Population vs. sample variance

• Standard deviation

• Variance vs. standard deviation

• Interactive exercise 8

• Mean and standard deviation demonstration

• Mean and standard deviation exercise

• Session conclusion

• 5

### Covariance, Correlation and Regression

• Session objectives

• Relationship between variables

• Covariance and correlation

• Covariance

• Calculating the covariance

• Drivers of covariance

• Population vs. Sample Data (Covariance)

• Interactive exercise 9

• Correlation

• Covariance and correlation demonstration

• Covariance and correlation exericse

• Regression analysis

• Simple linear regression

• The regression equation

• Sum of squares

• R squared and the correlation coefficient

• Interactive exercise 10

• Regression demonstration

• Target exercise

• Session conclusion

• Summary

• 6

### Qualified Assessment

• Qualified assessment

• Share Your Feedback

• Course Completion