1
The Big Mac Index Two Decades On:
An Evaluation of Burgernomics
May 2009
by
Kenneth W Clements
Yihui Lan
Shi Pei Seah
Business School
The University of Western Australia
Outline
2
1. Purchasing Power Parity
3
1. PPP Theory
Three Versions of PPP
where e is a random disturbance term with E(e)=0
4
Version | Intercept | Disturbance |
k | e | |
1. Absolute | 0 | 0 |
2. Relative | ≠ 0 | 0 |
3. Stochastic | ≠ 0 | ≠ 0 |
1. PPP Theory
Absolute PPP
5
Undervaluation
s
r
45o
s2
r 2
s1
r 1
Overvaluation
B
A
1. PPP Theory
6
Relative PPP
Undervaluation
A
s
r
-k > 0
45o
s2
B
r 2
s1
r 1
Overvaluation
1. PPP Theory
7
Stochastic PPP
Consistent with SPPP
Y
-k+e2
-k+e1
r2
X
E (e) = 0
r
s
Consistent with SPPP
1. PPP Theory
with E(q) = k, var(q) = σ2.
where α is the probability of a Type I error.
8
More on Stochastic PPP
1. PPP Theory
9
2. Big Mac Index
Country | Big Mac prices | Implied �PPP of �the dollar | Actual $�exchange rate�30/01/09 | Under/over valuation, % | |
In local currency | In dollars | ||||
United States | $3.54 | 3.54 | - | - | - |
Australia | A$3.45 | 2.19 | 0.97 | 1.57 | -38 |
Britain | £2.29 | 3.30 | 0.65 | 0.69 | -7 |
Canada | C$4.16 | 3.36 | 1.18 | 1.24 | -5 |
Euro area | € 3.42 | 4.38 | 0.96 | 0.78 | +24 |
Japan | ¥290 | 3.23 | 81.9 | 89.8 | -9 |
Switzerland | SFr 6.50 | 5.60 | 1.84 | 1.16 | +58 |
2. Big Mac Index
Source: The Economist (Feb 2009)
Equilibrium Exchange Rate
Should go to 0
Mean
± 2 SE
10
(q x 100)
Australia
Japan
Canada
2. Big Mac Index
Deviations from Big Mac Parity I
Mean
± 2 SE
11
Deviations from Big Mac Parity II
(q x 100)
Britain
Euro Area
Switzerland
2. Big Mac Index
2. Big Mac Index
Deviations from Big Mac
Parity III
12
13
Conclusion
2. Big Mac Index
where b is the bias
,
is the annualised change over horizon h
14
3. Enhancing the BMI
3. Enhancing the BMI
15
A Scatter Plot
0
45o
0
3. Enhancing the BMI
Change in exchange rate
Change in exchange rate
Inflation Differential
Inflation Differential
Evidence on Relative PPP�24 countries 1994-2008
16
3. Enhancing the BMI
Mexico
Czech Republic
Japan
1-year Horizon
Evidence on Relative PPP�24 countries 1994-2008
17
3. Enhancing the BMI
Poland
Russia
Polish Zloty redenominated 10,000:1
(1 January 1995)
Russian Ruble redenominated 1,000:1
(1 January 1998)
14-year Horizon
Total and Annualised Volatility I
18
3. Enhancing the BMI
Absolute | Relative |
Total and Annualised Volatility II
19
3. Enhancing the BMI
Annualised | Total |
Example I
20
3. Enhancing the BMI
B. Non-stationary
A. Stationary
Annualised
Volatility
Horizon (h)
Horizon (h)
Annualised
Volatility
Example II
21
3. Enhancing the BMI
B. Non-stationary
A. Stationary
Total Volatility
Horizon (h)
Horizon (h)
Total Volatility
22
The Area Under the Curve I: Stationary
3. Enhancing the BMI
Annualised
Volatility
Horizon
TV1
TV1
Total
Volatility
TV2
TV2
When β < 1, total volatility constant
TV1 = TV2 = … = TV14
TV14
TV14
Horizon
23
The Area Under the Curve II: Non-Stationary
3. Enhancing the BMI
Horizon
TV1
TV1
TV2
TV2
When β = 1, total volatility increases
TV1 < TV2 < … < TV14
TV14
TV14
Total
Volatility
Horizon
Annualised
Volatility
Stationary and Non-Stationary
24
Horizon
Total volatility
3. Enhancing the BMI
Non-stationary
Stationary
�Evidence from 24 Countries�1994-2008
25
Horizon (years)
Total volatility (%)
3. Enhancing the BMI
26
4. BMI as a Predictor
Subsequent change
Current mispricing
4. The BMI as a Predictor
27
Another Scatter
Subsequent change
Current mispricing
45o
0
0
4. The BMI as a Predictor
Evidence on BMI Predictions �24 countries, 1994-2008
28
4. The BMI as a Predictor
1-year Horizon
2-year Horizon
… and at longer time horizons
29
4. The BMI as a Predictor
10-year Horizon
14-year Horizon
30
Regression results
Standard errors in parenthesis. Non-overlapping observations.
1 | -0.055 (0.733) | -0.302 (0.041) | 336 | 0.138 | 143.5 |
| | | | | |
2 | -0.346 (1.377) | -0.588 (0.075) | 168 | 0.270 | 15.2 |
| | | | | |
3 | -2.199 (1.486) | -0.872 (0.086) | 96 | 0.525 | 2.1 |
| | | | | |
4 | -6.439 (2.000) | -1.097 (0.096) | 72 | 0.649 | 5.4 |
| | | | | |
5 | -6.009 (1.927) | -0.875 (0.113) | 48 | 0.565 | 4.9 |
4. The BMI as a Predictor
BMI versus a Random Walk
31
Horizon (years)
RMSE (Percent)
Random walk
Big Mac Index
Bias-adjusted BMI
4. The BMI as a Predictor
5. More on the Oz
32
5. More on the Oz
33
± 2 SE
Now 08/05/09 = -27%
Mean = -29%
5. More on the Oz
Absolute PPP, q = 0
(Conventional BMI)
5. More on the Oz
± 2 SE
Now 08/05/09 = +3%
Mean = 0%
II. Bias-Adjusted BMI, � q x 100, Australia
34
35
III. Now
5. More on the Oz
Country | Big Mac prices | | $US cost of 1 $A | Under- valuation % | ||
In local currency | In $A | Implied �PPP of �the $A | Actual�exchange rate�08/05/09 | |||
Australia | A$3.45 | 3.45 | - | - | - | |
United States | US$3.54 | 4.72 | 1.03 | 0.75 | -27 | |
Big Mac Index | $US cost of 1 $A | ||||
Actual exchange rate 08/05/09 | | Implied �PPP of the $A | | Over/Under-valuation | |
Conventional | 0.75 | less | 1.03 | = | -0.28 (-27%) |
Bias-Adjusted (15-year mean) | 0.75 | less | 0.73 | = | 0.02 (+3%) |
36
6. Conclusions
6. Conclusions
37
Distribution of Real ERs�24 countries, 1994-2008
Number
Number
6. Conclusions
Conventional BMI
Bias-Adjusted BMI
Note: Argentina 2002 omitted.