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Dun & Bradstreet’s Regional View
Europe
June 2015
2
Contents
1. Contribution to growth and real GDP growth forecast
2. A BIG MACronomic approach to the evolution of households’
purchasing power
3. Is sluggish labour productivity to blame?
4. A Hodrick-Prescott approach to the relation between Unemployment
Cycle and Business Cycle
5. Inflation and Inflation forecast: are cycles getting longer?
6. Financial Markets’ jitteriness: A Multivariate-GARCH approach to
volatility
Follow us on Twitter @DnBEconomy | #DnBEconBrief
1. Contribution to growth and real GDP
growth forecast
4Follow us on Twitter @DnBEconomy | #DnBEconBrief
2. A BIG MACronomic approach to the
evolution of households’ purchasing
power
6Follow us on Twitter @DnBEconomy | #DnBEconBrief
3. Is sluggish labour productivity to
blame?
8Follow us on Twitter @DnBEconomy | #DnBEconBrief
A Markov Switching Model approach to labour productivity
• Under the Markov Switching (MS) approach, the observed variable is assumed to switch regimes according
to some unobserved variable
• Movements of the state variable between regimes are driven by a Markov process
• Why MS is so popular? Because the probability distribution of the state at any time t depends only on the
state at time t-1, and not on the states at times t-2, t-3, etc…In other words, Markov processes are not path-
dependent
• If a variable follows a Markov process, all that is required to forecast the probability that it will be in a given
regime during the next period is the current period’s probability and a matrix of (time-varying) transition
probabilities, the transition probabilities being the probability for the state variable to move from regime i to
regime j
• Here, the two regimes are ‘fast growth’and ‘slow growth’.
• Running a MS regression, I’ve compute the time-varying probabilities for the economy to move from a fast-
growth mode to a slow-growth mode.
• The interesting (albeit not surprising) finding is that (on average) the probability of moving from fast
to slow growth (hence, a deceleration of the GDP growth rate) is higher when labour productivity is
lower.
9Follow us on Twitter @DnBEconomy | #DnBEconBrief
Spain Italy
Greece Ireland
4. A Hodrick-Prescott approach to the
relation between Unemployment Cycle
and Business Cycle
11Follow us on Twitter @DnBEconomy | #DnBEconBrief
12Follow us on Twitter @DnBEconomy | #DnBEconBrief
5. Inflation and Inflation forecasts
Are cycles getting longer?
14Follow us on Twitter @DnBEconomy | #DnBEconBrief
15Follow us on Twitter @DnBEconomy | #DnBEconBrief
6. Financial Markets’ jitteriness
A Multivariate-GARCH approach to volatility
17Follow us on Twitter @DnBEconomy | #DnBEconBrief
18Follow us on Twitter @DnBEconomy | #DnBEconBrief
.0
.1
.2
.3
.4
.5
2007 2008 2009 2010 2011 2012 2013 2014 2015
Cor(DE,IT)
Conditional Correlation
-0.2
0.0
0.2
0.4
0.6
0.8
1.0
2007 2008 2009 2010 2011 2012 2013 2014 2015
Cor(DE,IE)
Conditional Correlation
-0.2
0.0
0.2
0.4
0.6
0.8
1.0
2007 2008 2009 2010 2011 2012 2013 2014 2015
Cor(DE,ES)
Conditional Correlation
Thank You

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WEM_June

  • 1. Dun & Bradstreet’s Regional View Europe June 2015
  • 2. 2 Contents 1. Contribution to growth and real GDP growth forecast 2. A BIG MACronomic approach to the evolution of households’ purchasing power 3. Is sluggish labour productivity to blame? 4. A Hodrick-Prescott approach to the relation between Unemployment Cycle and Business Cycle 5. Inflation and Inflation forecast: are cycles getting longer? 6. Financial Markets’ jitteriness: A Multivariate-GARCH approach to volatility Follow us on Twitter @DnBEconomy | #DnBEconBrief
  • 3. 1. Contribution to growth and real GDP growth forecast
  • 4. 4Follow us on Twitter @DnBEconomy | #DnBEconBrief
  • 5. 2. A BIG MACronomic approach to the evolution of households’ purchasing power
  • 6. 6Follow us on Twitter @DnBEconomy | #DnBEconBrief
  • 7. 3. Is sluggish labour productivity to blame?
  • 8. 8Follow us on Twitter @DnBEconomy | #DnBEconBrief A Markov Switching Model approach to labour productivity • Under the Markov Switching (MS) approach, the observed variable is assumed to switch regimes according to some unobserved variable • Movements of the state variable between regimes are driven by a Markov process • Why MS is so popular? Because the probability distribution of the state at any time t depends only on the state at time t-1, and not on the states at times t-2, t-3, etc…In other words, Markov processes are not path- dependent • If a variable follows a Markov process, all that is required to forecast the probability that it will be in a given regime during the next period is the current period’s probability and a matrix of (time-varying) transition probabilities, the transition probabilities being the probability for the state variable to move from regime i to regime j • Here, the two regimes are ‘fast growth’and ‘slow growth’. • Running a MS regression, I’ve compute the time-varying probabilities for the economy to move from a fast- growth mode to a slow-growth mode. • The interesting (albeit not surprising) finding is that (on average) the probability of moving from fast to slow growth (hence, a deceleration of the GDP growth rate) is higher when labour productivity is lower.
  • 9. 9Follow us on Twitter @DnBEconomy | #DnBEconBrief Spain Italy Greece Ireland
  • 10. 4. A Hodrick-Prescott approach to the relation between Unemployment Cycle and Business Cycle
  • 11. 11Follow us on Twitter @DnBEconomy | #DnBEconBrief
  • 12. 12Follow us on Twitter @DnBEconomy | #DnBEconBrief
  • 13. 5. Inflation and Inflation forecasts Are cycles getting longer?
  • 14. 14Follow us on Twitter @DnBEconomy | #DnBEconBrief
  • 15. 15Follow us on Twitter @DnBEconomy | #DnBEconBrief
  • 16. 6. Financial Markets’ jitteriness A Multivariate-GARCH approach to volatility
  • 17. 17Follow us on Twitter @DnBEconomy | #DnBEconBrief
  • 18. 18Follow us on Twitter @DnBEconomy | #DnBEconBrief .0 .1 .2 .3 .4 .5 2007 2008 2009 2010 2011 2012 2013 2014 2015 Cor(DE,IT) Conditional Correlation -0.2 0.0 0.2 0.4 0.6 0.8 1.0 2007 2008 2009 2010 2011 2012 2013 2014 2015 Cor(DE,IE) Conditional Correlation -0.2 0.0 0.2 0.4 0.6 0.8 1.0 2007 2008 2009 2010 2011 2012 2013 2014 2015 Cor(DE,ES) Conditional Correlation

Hinweis der Redaktion

  1. And the winner is… Denmark Bottom of the table? Greece
  2. And the winner is… Denmark Bottom of the table? Greece
  3. And the winner is… Denmark Bottom of the table? Greece
  4. And the winner is… Denmark Bottom of the table? Greece