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Quantitative analysis in M

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Quantitative analysis in M&As evaluation Ha Long, Vietnam 13&14 August 2005 Dr. Patrick Krauskopf, Vice-Director, Fanny Raess, Swiss Competition Commission – PowerPoint PPT presentation

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Title: Quantitative analysis in M


1
Quantitative analysis in MAs evaluation
  • Ha Long, Vietnam 1314 August 2005
  • Dr. Patrick Krauskopf, Vice-Director,
  • Fanny Raess,
  • Swiss Competition Commission

2
Structure of Presentation
  • Introduction
  • Role of quantitative techniques
  • Frequently used quantitative analysis tools
  • Price correlation analysis
  • Own-price and Cross-price elasticity analysis
  • SSNIP Test
  • HHI
  • Analysis of the modification of the competition
    structure
  • 4. Conclusion

3
1. Introduction
  • Objectives of the presentation
  • Preliminary comment Description of the
    pre-merger situation to analyse the behavior of
    the competitors
  • Perfect competition
  • Monopolistic/Oligopolistic competition
  • Contestable markets
  • Dominance assessment (single vs collective)

4
2. Role of quantitative analysis
  • Quantitative analyses can (and should) provide
    important evidence in an merger evaluation
  • Quantitative evidence should be viewed as
    complementary to the qualitative evidence

5
3. Frequently-used quantitative analysis tools
  • Using quantitative approach to
  • Define the relevant market
  • Evaluate the merger impact
  • The choice of technique will depend on
  • the specific circumstances of the case
  • the availability of data
  • It is possible that more than one technique could
    be usefully applied to any particular case

6
a) Price Correlation - definition
  • Standard tool in evaluating product market
    definition
  • Prices of products in the same market are
    expected to move together over time
  • Basis of the approach
  • Examine whether price levels move together
  • Quantify the extent to which price levels move
    together over time. This is measured by the
    correlation coefficient
  • The correlation coefficient can vary between 1
    and 1
  • correlation of 1 gt prices moving perfectly
    together
  • correlation of -1 gt prices moving perfecty
    inversely to one another
  • correlation of 0 gt no statistical association
    between the two series

7
a) Price Correlation - Example
  • Are still water, sparkling water and soft drinks
    in the same relevant product market?
  • The price correlation analysis showed that
  • Panel A Correlation between prices of water
    brands and soft drinks is weak
  • Panel B Correlation between prices of still and
    sparkling water brands is high
  • gt the market should include still and sparkling
    waters but should exclude soft drinks.

Illustration (source Lexecon) Panel A Low
correlation coefficient (lt 0.3) Panel B High
correlation coefficient (gt 0.9)
8
b) Own and cross-price elasticities (e) -
definitions
  • Standard tools in evaluating product market
    definition
  • The own-price elasticity measures the percentage
    change in quantity (Q) of good X for each
    percentage change in the price (P) of good X
  • If e is high gt P increase is not likely to be
    profitable (ex Pepsi)
  • If e is low gt P increase is likely to be
    profitable (ex Petrol)
  • The cross-price elasticity measures the
    percentage change in quantity (Q) of good X for
    each percentage change in the price (P) of good Y

9
b) Own and cross-price elasticities example (1)
  • Market Petrol
  • Companies Shell, Agip, Esso, BP, Totalfina
  • If Pshell increases gt Qshell decreases and
    Qotherbrands increases gt eShell is high
  • If Pmarket increases gt Qmarket is only sligthly
    decreased gt e market is low

10
b) Own and cross-price elasticities example (2)
  • Pepsi - Coca-Cola
  • If Ppepsi increases gt consumers will switch
    to Coca-Cola gt Q Coca-cola will increase
  • gt Pepsi and Coca-Cola are substitutes (e qp gt
    o)
  • Wine - Water
  • If P Wine increases gt consumer will not
    change their water consumption gt Q water will
    stay constant
  • gt Wine and Water are not substitutes (e qp o)

11
c) SSNIP Test (small but significant
non-transitory increase in price) - definition
  • Standard tool in evaluating product market
    definition
  • It is a  hypothetical monopolist test 
  • Tests whether a good or a set of goods define a
    relevant product market
  • The question is  what type of constraints does
    the presence of other goods place on the producer
    of the good in question, when he decides to
    increase his price by 5-10? 

12
c) SSNIP Test - example
  • 3 goods Apple (A), Pear (P) and Banana (B)
  • Are they part of the same relevant product
    market?
  • If all the producers of A can profitably
    introduce a small but significant and
    non-transitory increase in price, despite the
    existence of P and B gt the relevant market is
    made of A only
  • However, if consumers, on reaction to this
    increase of price of A, significantly shift to P
    gt P are added to the relevant market, as the
    producers of A have no market power (unprofitable
    price increase)
  • Same process with A and P together, until a
    profitable price increase is found

13
d) HHI - Herfindahl-Hirschman index defintion
(1)
  • Measure of market concentration
  • HHI Sum of the squares of the market shares
  • The closer the market structure is to a monopoly,
    the higher the market concentration (and the
    lower the assumed degree of competition)
  • In many juridictions, HHI is not considered as
    direct evidence, but as an indicator for further
    analysis

14
d) HHI as a screening device (EU)
  • HHI lt 1000 gt Unlike to challenge
  • 1000 lt HHI lt 1800 and ?HHI lt 100 gt Unlike to
    challenge
  • 1000 lt HHI lt 1800 and ?HHI gt 100 gt Likely to
    challenge gt Further analysis needed
  • HHI gt 1800 and ?HHI lt 50 gt Unlike to challenge
  • HHI gt 1800 and lt 50 ?HHI lt 100 gt Likely to
    challenge gt Further analysis needed
  • HHI gt 1800 and ?HHI gt 100 gt Likely to
    challenge

15
d) HHI - Example
  • Pre-merger 5 firms
  • A 30, B 25, C 25, D 10, E 10
  • The HHI is 302 252 252 102 102 2350
  • If B mergers with D, 4 firms
  • A 30, B/D 35, C 25 , E 10
  • The HHI is 352 302 252 102 2850
  • ? HHI is 2850-2350 500
  • Interpretation
  • HHI gt 1800 and ?HHI gt 100 gt Likely to challenge

16
e) Analysis of the modification of the
competition structure
  • Based on the market shares, is the merger likely
    to induce a structural change in the market
    structure?
  • Examples
  • Perfect ? Oligopolistic competition?
  • Increased probability of collective dominance or
    cartellization?

17
4. Conclusion
  • Empirical economic analysis lies at the heart of
    modern competition policy
  • Econometric analyses does not come from out of
    the blue
  • Potential weakness of the tools lack of data,
    asymmetry of data (firm/authority)
  • Role of economists is complementary to the role
    of lawyers
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