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The Kagiso PMI – a valuable tool
for the manufacturing sector
Hugo Pienaar
Outline
History of the PMI
Technical details – a look at the questionnaire
How useful is the index – a comparison with other data
sources
Historical development of the PMI
• Brainchild of Mike Poulter (University of Natal) and Murray
Pellissier (BER) in June 1998 to develop SA counterpart to
US PMI
• Joint venture between IPSA (now CIPS) and BER to start a
survey under purchasing managers in the SA
manufacturing sector and to produce a PMI
• First survey conducted in September 1999 and first
released to the public in August 2000
What does the PMI measure - a look at the questionnaire (send to purchasing
managers in the manufacturing sector)
PMI measures monthly changes
Qualitative answers 30%
25%
20%
10%
15%
• A composite index calculated as a weighted average of 5 indices of activity in the manu sector
• Indices construction (% reporting increase + half reporting the same)
What does the PMI measure – summary
• Indices range from 0 – 100, above 50 indicates increase
• Diffusion indices, i.e. indicate the degree to which the change it measures is
dispersed or “diffused” throughout the sample population
• PMI does not measure the confidence levels of purchasing managers, but
rather gauges activity levels in the manufacturing sector
• Measure of the overall manufacturing sector – no information on specific sub-
sectors. There could at times be wide diversions between total and sub-sectors
• Seasonal adjustment
30
35
40
45
50
55
60
65
Sep-99 Sep-00 Sep-01 Sep-02 Sep-03 Sep-04 Sep-05 Sep-06 Sep-07 Sep-08 Sep-09 Sep-10 Sep-11 Sep-12
ind
ex
PMI PMI 3 month moving average
After tough ‘12, PMI back above 50 in Feb ‘13
Expansion
Contraction
Kagiso PMI tracks the global manufacturing cycle
Expansion
Contraction
30
35
40
45
50
55
60
65
Sep-99 Mar-01 Sep-02 Mar-04 Sep-05 Mar-07 Sep-08 Mar-10 Sep-11
Ind
ex p
oin
ts
Global manufacturing PMI SA PMI
Q4 temporary factors • Japan / China dispute • Hurricane Sandy • Global auto weakness
Q1 recovery, but • Higher oil price • US tax rises
-25
-20
-15
-10
-5
0
5
10
15
30
35
40
45
50
55
60
65
Sep-99 Sep-00 Sep-01 Sep-02 Sep-03 Sep-04 Sep-05 Sep-06 Sep-07 Sep-08 Sep-09 Sep-10 Sep-11 Sep-12
Y-o
-Y %
ch
an
ge
ind
ex
PMI (lhs) Manufacturing Production Volume (2mma)
PMI closely tracks actual Stats SA manufacturing production
volumes
-25
-20
-15
-10
-5
0
5
10
15
20
Mar-99 Ápr-01 May-03 Jun-06 Jul-07 Áug-09 Sep-11
Y-o
-Y %
ch
an
ge
Total Manufacturing Paper & paper products
Trends in specific sub-sectors often more intense than the
overall manufacturing picture (Stats SA)
-80
-60
-40
-20
0
20
40
60
30
35
40
45
50
55
60
65
1999Q3 2000Q3 2001Q3 2002Q3 2003Q3 2004Q3 2005Q3 2006Q3 2007Q3 2008Q3 2009Q3 2010Q3 2011Q3 2012Q3
net b
ala
nce
ind
ex
PMI (quarterly average, lhs) BER Manufacturing Production Volumes
PMI and BER Manufacturing Survey Production Volumes
-3
-2
-1
0
1
2
3
4
5
6
7
30
35
40
45
50
55
60
65
1999Q3 2000Q3 2001Q3 2002Q3 2003Q3 2004Q3 2005Q3 2006Q3 2007Q3 2008Q3 2009Q3 2010Q3 2011Q3 2012Q3
Y-o
-Y %
ch
an
ge
ind
ex
PMI (quarterly average, lhs) Real GDP Growth
PMI tracks SA GDP growth and importantly signals turning
points
-10
-5
0
5
10
15
20
30.0
40.0
50.0
60.0
70.0
80.0
90.0
100.0
Sep-99 Sep-00 Sep-01 Sep-02 Sep-03 Sep-04 Sep-05 Sep-06 Sep-07 Sep-08 Sep-09 Sep-10 Sep-11 Sep-12
Y-o
-Y %
ch
an
ge
ind
ex
PMI Price Index (lhs) PPI All Industries
PMI price index reliable leading indicator for PPI
-20
-15
-10
-5
0
5
10
15
30
35
40
45
50
55
60
65
Sep-99 Sep-00 Sep-01 Sep-02 Sep-03 Sep-04 Sep-05 Sep-06 Sep-07 Sep-08 Sep-09 Sep-10 Sep-11 Sep-12
Y-o
-Y %
ch
an
ge
ind
ex
PMI (lhs) SARB Coincident Indicator
PMI and SARB Coincident Business Cycle Indicator
Bureau for Economic Research
Economic information that works for you
Website: www.ber.ac.za E-mail: [email protected] Tel No: 021 887 2810
This presentation is confidential and only for the use of the intended recipient. Copyright for this presentation is held by Stellenbosch University. Although great care is exercised
to record and interpret all information correctly, Stellenbosch University, its division BER and the author(s)/editor do not accept any responsibility for any direct or indirect loss that
might result from accidentally inaccurate data and interpretations by third parties. Stellenbosch University further accepts no liability for the consequences of any decisions or
actions taken by any third party on the basis of information provided in this presentation.