4. ✓ What and Why of Cash Forecasting
✓ How effective forecasting makes treasury a more
strategic partner
✓ Building the cash forecast using multiple data
sources
✓ The importance of measuring forecast accuracy
✓ The role of spreadsheets in forecasting
✓ Techniques to improve the accuracy of forecast
projections
Agenda
7. Companies across all sectors need to survive with an urgent need for total liquidity
Travel
Luxury
Goods
Auto
Energy
Financial
Service
Industrial
CG&S
Grocery
Retail
Utilities
Comms
& Media
Life
Science
Chemical
NegativePositive
Neutral
Businesses that are affected by the outbreak could see a downgrade to their
credit ratings, making it more difficult for them to raise cash and maintain
liquidity:
The table below, illustrating the Altman Z-score analysis of the S&P 500 companies, shows
that as of late March 2020, 210 companies are in the distress zone (at considerable risk of
going into bankruptcy in the near future). This number is a significant increase from March
2019.
Impact
C19 is expected to have a massive impact across all industries, with no
industry insulated from the far-reaching consequences of this pandemic as
the below “heatmap” shows:
A comparison with the impact of the economic and financial crisis in 2008 on the S&P 100 companies shows what companies
could expect as a result of the C19 crisis – a sharp decline in revenue growth and a further reduction in the already weak
cash flow coverage (ability of a company to pay liabilities using operating cash flow).
Altman Zones Range S&P 500
Companies
(March 2019)
S&P 500
Companies (Mar
2020)
Change
(+/-)
Safe Zone Z > 2.99 236 174 -62
Grey Zone 1.81 < Z <2.99 104 116 +12
Distress Zone Z < 1.81 160 210 +50
The depth of the current crisis should not be
underestimated
12. Journey to the leading practice cash forecasting
BASIC
INSIGHTS
Manual and left to business
units interpretation
Error prone
Sanity checks and deviation analysis
are limited
Only Treasury uses forecasts
RPATMS
Visibility
Accuracy
Speed
FTE optimization
Visibility
Accuracy
Speed
FTE optimization
Visibility
Accuracy
Speed
FTE optimization
Visibility
Accuracy
Speed
FTE optimization
AUTOMATED FORECAST
Centrally defined Model
Data processing
are automated
Knowledge based forecasts
Data driven decision on hedging,
funding and investment
2
ROBOTIC PROCESS
AUTOMATION
Historical data sets are
centrally stored
Run predictive data modeling
and back testing
Correlations identified
with external data
Forecasts are used beyond Treasury
as an indicator
PREDICTIVE ANALYTICS
Treasury leverages forecast
architecture to build new
capabilities
WC Management, Trade Finance
optimization and FX & Credit risk
Exposure management
Other finance areas supported
PA
1 3 4
Excel
15. Why is it important to
measure forecast accuracy?
16. What is the role of
spreadsheets in forecasting?
17. What are some techniques
you can use to improve the
accuracy of your forecast?
18. Thank You
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