PE and entry - PowerPoint PPT Presentation

1 / 13
About This Presentation
Title:

PE and entry

Description:

cross-border trade in retail banking still small compared to what is expected; ... and insolvency rates may be collinear with bank sector concentration. ... – PowerPoint PPT presentation

Number of Views:55
Avg rating:3.0/5.0
Slides: 14
Provided by: apo69
Category:
Tags: collinear | entry

less

Transcript and Presenter's Notes

Title: PE and entry


1
11th Conference of the ECB-CFS NetworkSession
IVA Retail Finance and SMEs Discussion by
Alexander Popov(European Central Bank)October
21, 2008
2
Hempel and Fischer, Rate Dispersion in Retail
Banking Do Local Factors Still Matter?
  • Motivation
  • cross-border trade in retail banking still small
    compared to what is expected no pan-European
    model in place even for the largest European
    banks
  • while banking competition has intensified within
    countries, no evidence is available on the effect
    of local market power
  • Main idea characteristics of national markets
    used in recent studies to explain this
    phenomenon insufficient -gt go in the direction
    of Guiso et al (2004) and Huang (2006)
  • Main hypothesis
  • Local factors matter for retail financial
    integration
  • Draw policy conclusions is interest rate
    dispersion higher across regions within a
    country, or across countries?
  • Main findings
  • Local market power of banks matters for
    short-term deposits and credit to enterprises
  • 1 st. dev. increase in competition leads to
    widening of interest rate spread by between 16
    and 19 basis points.
  • Local factors do not matter for consumer loans
    and retail mortgages

3
Hempel and Fischer, Rate Dispersion in Retail
Banking Do Local Factors Still Matter?
  • General remarks
  • Choice of sample/country
  • Focusing on Germany only prevents from evaluating
    the relative importance of local vs. national
    markets
  • Regional banks only but market behavior will
    matter depending on whether dominant bank in
    local market is local or national
  • Rate calculations yield curve?
  • 10 rate on a 3-month deposit is not the same as
    a 10 rate on a 12-month deposit (in loans to
    enterprises, for example, you are using gross
    interest rates spreads).

4
Hempel and Fischer, Rate Dispersion in Retail
Banking Do Local Factors Still Matter?
  • Specific remarks
  • Construction of indices
  • How are the HH and Lerner index calculated? By
    assets? Clarification needed!
  • If by assets, then you are mis-measuring true
    concentration.
  • For example 5 banks, all equally big asset-wise,
    but one does most of the retail banking and the
    others do mostly commercial banking
  • Index can still not capture true local
    competition
  • For example, imagine region Bundesregion 17
  • Three equally big cities Bad Schon, Bad
    Sehrschon and Bad Wunderbahr
  • A different bank has monopoly in each city HH
    will tell you that there is triopoly while in
    fact there are 3 local monopolies!
  • Empirical methodology
  • Income per capita, unemployment and insolvency
    rates may be collinear with bank sector
    concentration. (Black and Strahan (QJE 1996),
    Beck et al (WB 2007)). Regression without those?
    Correlation matrices?
  • Omitted variable bias industrial concentration
    (Cetorelli (Fed Chicago 2002))

5
Hempel and Fischer, Rate Dispersion in Retail
Banking Do Local Factors Still Matter?
  • Specific remarks (continued)
  • Demand considerations
  • Proxies for demand human wealth, non-human
    wealth and demographics. Only first one present.
  • Instrument
  • Number of banks in 1986 not a good instrument in
    a dynamic market (not a good analogue to Guiso et
    al. (2004) procedure where banking structure is
    fixed over time). First stage regressions?
  • Interpretation of results
  • Bank local power matters for short-term deposits
    and credit to enterprises
  • Political economy explanation for fact 2?
    (Incumbents teaming with banks to prevent new
    entrants by charging them high rates?)
  • But why would enterprises be restricted in taking
    credit from local sources only? Wouldnt they
    take trade credit if loan rates became too high?
    Or VC?
  • No effect on consumer loans counterintuitive?
    Why are consumers more mobile in their decisions
    than enterprises?

6
Carbo-Valverde et al. Bank Lending, Financial
Constraints and SME Investment
  • Main idea examine the sensitivity of investment
    to bank loans and trade credit
  • Thus, circumvent econometric challenges
    associated with studying the sensitivity of
    investment to cash flows (Fazzari et al vs.
    Kaplan and Zingales)
  • Focus on SMEs as the most obvious firms to whom
    bank and trade credit matter
  • Investigate causality channels
  • Main hypothesis
  • Desired loans gt actual loans for constrained
    firms gt Investment not sensitive to bank loans
    for those
  • Desired loans gt actual loans for constrained
    firms gt Investment sensitive to bank loans for
    those

7
Carbo-Valverde et al. Bank Lending, Financial
Constraints and SME Investment
  • Data
  • 30,897 Spanish SMEs (less than 250 employees)
    from Amadeus
  • 1994-2002
  • Total of 278,073 observations
  • Main findings
  • Investment is sensitive to bank loans for
    unconstrained firms
  • Investment is sensitive to trade credit for
    constrained firms
  • Main contribution
  • Moves away from the investment-cash flow
    sensitivity literature
  • Uses Granger predictability tests

8
Carbo-Valverde et al. Bank Lending, Financial
Constraints and SME Investment
  • General remarks
  • Size
  • Why SMEs? Sounds sexy, but more theoretical
    motivation needed
  • Some descriptive stats how important are SMEs
    to the Spanish economy?
  • Definition of SME broad non-monotonic
    relationship to size? Split the sample
  • Defining constraints
  • Non-direct measure of constraints can generate
    large classification errors and weaken the
    validity of existing tests for liquidity
    constraints (Japelli (1990))
  • Firms may have preferences over investment
    sources (Hines and Thaler) can the Euler
    equation method account for a possible pecking
    order?

9
Carbo-Valverde et al. Bank Lending, Financial
Constraints and SME Investment
  • Specific remarks
  • Data issues
  • Customary to exclude certain industries subject
    to specific regulations (utilities, financial
    sector)
  • Industry characteristics use a Rajan-Zingales
    criterion to exclude industries for which
    external finance doesnt matter.
  • Empirical procedure
  • The power of a Granger test diminishes quickly as
    the sample is reduced. 3 lags in a 9-period
    panel?
  • Robustness tests
  • Is investment still non-sensitive to bank loans
    for constrained firms once you take out the
    sub-sample of fully-constrained firms (2,426)?

10
Schaeck and Berger Small and medium-size
enterprises, Banking Relationships, and the Use
of Venture Capital
  • Main idea examine the determinants and
    performance effect of VC on firms
  • Test whether VC is a substitute for multiple
    lending relationships (firms get VC to avoid the
    rent-extracting behavior of the main bank)
  • Focus on SMEs, but distinguish by age and growth
    potential
  • Use an econometric technique (matching) to
    circumvent the fact that venture capitalists are
    targeting more productive firms
  • Main findings
  • Firms with multiple banking relationships are
    less likely to use VC
  • Venture capital backed firms grow faster and
    spend more on RD
  • Main contribution
  • Look at SMEs
  • Link between banking relationship and VC
  • European data (Italy, Germany, and UK)

11
Schaeck and Berger Small and medium-size
enterprises, Banking Relationships, and the Use
of Venture Capital
  • General remarks
  • Three papers 1) firm-level determinants of VC
    2) VC vs. multiple bank relationships 3)
    VC-backed firms performance
  • Survey data 247 firms in UK, 162 in Italy and
    152 in Germany. Small size!
  • How representative in terms of size and banking
    relationships? (reported age and VC use only)
  • How representative is the data regionally? As
    pointed out, VC-using firms tend to be clustered.
  • How comparable is the environment in terms of
    economic dynamics? For example, share of new
    firms is 3.5 in Italy, 12.3 in Germany and 15
    in UK (Rajan et al (JFE 2006)).
  • SMEs how important?
  • Page 1 23 million SMEs account for 99 of all
    companies in Europe (Observatory for European
    SMEs (2004))
  • If true, then we need to change the definition!
  • Negates contribution 1
  • Given that 99 of firms are SMEs, doesnt it make
    sense to distinguish among other lines for
    instance, YIC vs. non-YIC?

12
Schaeck and Berger Small and medium-size
enterprises, Banking Relationships, and the Use
of Venture Capital
  • Specific remarks
  • Section on facts and figures added value?
  • Account for the banking structure local factors
    matter (Hempel and Fischer). Maybe VC is used
    rather than multiple banking relationships
    because only 1 bank is available locally?
  • Too little variability in unobservable country
    factors once Italy is dropped (3 of firms
    obtaining VC so it should be).
  • In particular, accounting for difference in the
    supply of VC and its determinants becomes tricky.
  • Supply of VC use variation in the prudential
    regulation of institutional investors across
    countries and over time but 2 countries?

13
Schaeck and Berger Small and medium-size
enterprises, Banking Relationships, and the Use
of Venture Capital
  • Selection issues
  • Only observe firms with banking relationships if
    they 1) desired bank credit, and 2) were not
    denied bank credit
  • Only observe firms that get VC if they 1) desired
    VC, and 2) were not denied VC.
  • 4 selection criteria!
  • Increase in employment is an indicator variable
    no information about economic significance
  • Instrument dummy1 if bank on firms board can
    also be correlated with the decision to use VC.
Write a Comment
User Comments (0)
About PowerShow.com