midwest finance association annual meeting atlanta 2016
TRANSCRIPT
Β»Hanken Svenska handelshΓΆgskolan / Hanken School of Economics www.hanken.fi
The Effect of Board Composition on CEO pay in European Companies
MFA Annual Meeting
Atlanta 2016
Laura Arranz.Hanken School of Economics, Finland
Pablo de AndrΓ©s.Autonoma Univeristy of Madrid, Spain
Objective of the Paper
Β» To analyse how board composition affects CEO compensation in Europe
Β» Ultimate goal:
Β» To understand how firms design their governance systems in Europe, and how board composition has an impact on firm level outcomes
Arranz /FMA, Atlanta 2016
Contribution
Β» Analyse the role of supervisory and independent directors separately
Β» US studies concentrate on independent directors
Β» Role of affiliated directors and major owners
Β» Account for the non random selection into equity linked compensation plans
Β» Equity granted in ca 40% obs
Β» Analysis of European Data
Β» More studies with US data; Contrast results for firms in different countries
Β» Pay levels /pay structure
Arranz /FMA, Atlanta 2016
Research Questions
Impact of board composition on level of pay? Owners in Europe influence monitor closely and influence firm governance
(Hatzell and Starks, 2003)
INCREASE MONITORING LOWER LEVELS OF COMPENSATION
Impact of boad composition on CEO incentive pay? Active owners monitor intensively and have an active role in setting firm
strategy: lower incentives
INVOLVEMENT ON STRATEGY LOWER LEVELS OF INCENTIVES
We expect firms with more non independent outsiders to give lower compensation and less equity linked compensation
Arranz /FMA, Atlanta 2016
Research Questions
What happens if we substitute non independent outsiders with independent
directors?
Β» Independent boards are considered safeguard of shareholders value and
are promoted at European level.
Β» Less compensation levels due to increased monitoring?
Β» Independent directors can substitute direct monitoring with equity pay
(Adams and Ferreira, 2009): more incentive compensation, which in turn
leads to increase compensation (compensate for risk)
Β» More incentive pay in more independent boards?
Arranz /FMA, Atlanta 2016
Importance of European Data
Β» Directive 2003/51/EC of the European Parliament and of the Council
Β» Action Plan on Modernizing Company Law and Enhancing Corporate Governance in the EU (2003)
Β» Promotes harmonization at European level
Β» Promotes the issue of Corporate Governance Codes of Best Practice (country based)
Β» Promotes increased transparency and board independence (comply or explain)
Arranz /FMA, Atlanta 2016
Importance of European Data
BOARDS
Β» Several CG systems coexist in the same economic space
Β» Some countries have strict regulations, others more freedom
Β» CG Codes mostly voluntary
Β» Ownership is concentrated , strong owners impact busines
COMPENSATION
Β» Equity linked compensation not so extended:
Β» Not granted systematically; lower amounts
Β» Equity linked compensation taxation varies
Arranz /FMA, Atlanta 2016
Data
Β» Representative sample of European listed firms
10 148 obs, 2 308 firms, 15 countries
Β» Years 1999-2007
Β» Boardex: governance data, compensation
Β» Thomsom: firm characteristics and market book values
Arranz /FMA, Atlanta 2016
Sample by Countries
Country Legal Origin Nr. of Obs. Percentage Nr. of Firms
Austria German 13 0.40 3
Belgium French 102 2.58 36
Denmark Scandinavian 40 0.97 11
Finland Scandinavian 30 0.41 10
France French 928 9.41 208
Germany German 256 4.54 89
Greece French 12 0.79 7
Ireland English 237 2.39 52
Italy French 238 3.24 60
Luxembourg French 7 0.37 2
Netherlands German 382 3.91 82
Portugal French 31 0.62 9
Spain French 156 2.65 45
Sweden Scandinavian 572 5.00 102
UK English 7 172 62.7 1 592
Total 10 184 100.00 2 308
Arranz /FMA, Atlanta 2016
Key variables
Β» Non-independent outsiders= non-executive-non- independent directors/board size
Β» Independence rate=independent directors/board size
Β» Direct compensation= sum of all cash based compensation for the period
Β» Equity linked compensation= sum of shares awarded, estimated value of options and LTIPs awarded in the period selected
Β» Total compensation= direct compensation plus equity linked compensation
Β» Equity mix= equity linked compensation/total compensation
Β» Equity dummy =1 if equity linked compensation >0
Arranz /FMA, Atlanta 2016
Data description
Β» CEO compensation very skewed (average and median values differ considerably).
Β» Equity linked compensation not always present (40 % observations; 20 % of CEO Pay)
Β» Equity linked compensation and CEO pay varies accross time (cross sectional and time variation)
Β» Board size and composition very constant accross time (cross sectional variation)
Arranz /FMA, Atlanta 2016
Data Description
Year 1999 2000 2001 2002 2003 2004 2005 2006 2007
Direct compensation 739.27 652.71 580.79 632.14 683.96 777.3 680.10 761.21 879.82
Equity linked compensation 606.29 729.93 586.40 437.15 547.34 548.2 595.17 623.17 681.14
Total compensation 1345.6 1382.7 1167.2 1069.3 1231.3 1325.5 1275.3 1384.4 1560.96
Equity mix 0.22 0.244 0.227 0.19 0.214 0.206 0.229 0.22 0.22
Equity dummy 0.546 0.53 0.5138 0.50 0.50 0.469 0.469 0.45 0.47
Board size 9.22 8.85 8.77 8.69 8.43 8.15 8.00 7.9 7.83
Non Indep Outs 0.19 0.22 0.22 0.22 0.22 0.22 0.23 0.24 0.24
Indep 0.36 0.34 0.35 0.36 0.36 0.35 0.35 0.34 0.35
Number of obs. 337 576 796 937 1370 1306 1561 1776 1763
Arranz /FMA, Atlanta 2016
Evolution of CEO Pay
0
200
400
600
800
1000
1200
1400
1600
1999 2000 2001 2002 2003 2004 2005 2006 2007
Direct compensation Equity Linked Compensation Total Compensation
Arranz /FMA, Atlanta 2016
Board Composition and Compensation
0.3
0.35
0.4
0.45
0.5
0.55
0.6
0.65
0.7
0.75
1999 2000 2001 2002 2003 2004 2005 2006 2007
Outsider rate ODB Equity dummy Equity proportion
Arranz /FMA, Atlanta 2016
Research Strategy
Two analyses
Analisys of the level of pay:
Β» Simultaneous Equation to control for endogeneity of board design and unobserved heterogeneity
Analysis of the structure of pay
Β» Heckman to control for the fact that equity is not granted every year systematically
For every analysis : Study non indep-outsiders and independent (=number of independent directors/board size) separately
Arranz /FMA, Atlanta 2016
Board composition and the level of pay
1st equation: - Three dependent variables measuring different components of CEO compensation (equity mix, direct and total). -CEO and firm characteristics as explanatory variables 2sd equation: - Outsider as a dependent variable - CG and firm characteristics as explanatory variables
πΆππππππ ππ‘πππ ππ‘ = πΏ0 + πΏ1ππ’π‘π πππππ ππ‘ + πΏ2πππππ‘ + πΏ3πΆπΈππ€ππππ‘βππ‘ + πΏ4π‘πππππππππππ‘ +
πΏ5πΆπΈπππ€ππππ βππππ‘ + πΏ6ππ π ππ‘π ππ‘ + πΏ7π£ππππ‘ππππ‘π¦ππ‘ + πΏ8ππ€ππππ βππππ‘ + πΏ9π¦ππππππ‘ + νππ‘ (5)
Pr ππ’π‘π πππππ ππ‘ =
π0 + +π1ππ€ππππ βππππ‘ + π2 ππππππ ππ§πππ‘ + π3 π‘πππππππππππ‘ + π4 π‘ππ‘ππ ππ π ππ‘π ππ‘ + π5πππ£πππππππ‘ +
π6ππππππ‘ β π‘π β ππππ ππ‘ + π7 πππππππ ππ π ππ‘π ππ‘ + +π8ππ·ππ‘ + π9πΆπΈπ πΌππ‘ππππππππ‘ +
π10β13πππππ ππππππππ‘ + π14β22π¦πππππ‘+ π23β63π πππ‘ππ ππ‘ + πππ‘ (6)
Arranz /FMA, Atlanta 2016
(1) (2) (3) (4)
Board composition and the level of pay
Total
Compensation
Direct
Compensation
Equity Linked
Compensation
Equity Mix
NON INDEP OUTS -1.294*** -0.491*** -1.638*** -0.187***
(-10.88) (-5.07) (-4.99) (-3.30)
Ownership -0.004*** -0.00310*** -0.00209 0.000
(-5.44) (-5.23) (-1.20) (1.15)
CEO age -0.00680*** -0.000934 -0.0135** -0.002***
(-3.55) (-0.59) (-3.10) (-3.42)
Time in role 0.00422 0.0108*** -0.000471 -0.003***
(1.54) (4.87) (-0.07) (2.80)
CEO wealth -0.00104 -0.00131 0.00979 0.001
(-0.45) (-0.69) (1.32) (1.21)
CEO ownership 0.00183 -0.000205 0.0599*** 0.015***
(0.52) (-0.07) (3.94) (5.83)
Log Assets 0.383*** 0.298*** 0.519*** 0.035***
(46.80) (44.23) (30.00) (12.02)
Volatility 0.00602*** 0.00345** 0.00860** 0.001***
(4.47) (3.10) (2.97) (2.77)
R2 0.4795 0.4858 0.3581 0.2198
N 3961 3907 2474 2474
Arranz /FMA, Atlanta 2016
Board composition and the level of pay
Total
Compensation
Direct
Compensation
Equity Linked
Compensation
Equity Mix
INDEP 0.868*** -0.03 2.01*** 0.291***
(4.87) (-0.22) (4.96) (4.11)
Ownership -0.00632*** -0.005*** -0.00366* -0.000
(-8.92) (-8.25) (-2.33) (1.04)
CEO age -0.00770*** -0.00139 -0.0142** -0.002***
(-3.99) (-0.88) (-3.28) (0.001)
Time in role 0.00688* 0.0116*** 0.00175 -0.002***
(2.53) (5.22) (0.28) (-2.56)
CEO wealth 0.000630 -0.000585 0.00844 0.001
(0.27) (-0.31) (1.14) (0.94)
CEO ownership 0.00242 0.0000415 0.0626*** 0.015***
(0.68) (0.01) (4.10) (5.94)
Log Assets 0.345*** 0.289*** 0.460*** 0.028***
(40.34) (41.45) (23.62) (8.29)
Volatility 0.00628*** 0.00354** 0.00855** 0.001***
(4.62) (3.17) (2.95) (2.67)
R2 0.4955 0.4884 0.3701 0.2210
N 3961 3907 2474 2474
Arranz /FMA, Atlanta 2016
A closer look at incentives
SELECTION EQUATION. DEPENDENT VARIABLE : EQUITY DUMMY
NON INDEP OUTS -1.135*** -1.135***
(-10.94) (-10.94)
INDEP DTORS 0.983*** 0.983***
(9.08) (9.08)
Ownership -0.0146*** -0.0146*** -0.0156*** -0.0156***
(-14.82) (-14.82) (-16.03) (-16.03)
Leverage -0.459** -0.459** -0.466*** -0.466***
Board size -0.000 -0.000325 -0.0109 -0.0109
Time in role -0.00943* -0.00943* -0.00623 -0.00623
CEO interlocking -0.0131 -0.0131 -0.0261 -0.0261
MD -0.668*** -0.668*** -0.611** -0.611**
Log Assets 0.210*** 0.210*** 0.184*** 0.184***
Market-to-book 0.0102* 0.0102* 0.00932 0.00932
Foreign assets 0.000365 0.000365 -0.001 -0.000
Year dummies Yes Yes Yes Yes
Industry dummies Yes Yes Yes Yes
Rho 0.0577 -0.451 0.15 -0.311
Sigma 0.2152 1.33 0.218 1.30
Lambda 0.0124*** -0.602 0.033* -0.404***
N 5006 5006 5006 5006
Arranz /FMA, Atlanta 2016
A closer look at incentives
Β» Heckman regression model
Β» OUTCOME EQUATION
Β» Dep var. The proportion of equity in total CEO pay
Β» Explanat. Var. Measure how powerful incentive pay is
Β»OUTSIDERS : key
CEO AGE; CEO wealth; to control individual risk aversion
Β»CEO ownership, to control alignment of interest
Β»Time in role: asymmetry of inform. about CEO abilities
Β»Total assets: larger firms, larger returns to effort
Β»Price volativity: more volatile firms, incentives more expensitve
Arranz /FMA, Atlanta 2016
A close look at incentives
Dep. Variable Equity Mix Log Equity Equity Mix Log Equity
NON INDEP OUTS 0.175** 0.972**
(5.19) (4.83)
INDEPENDENT -0.048 0.219
(-0.088) (1.20)
CEO age -0.002** -0.019** -0.002** -0.0125**
(-3.31) (-3.01) (-3.17) (-2.91)
Time in Role -0.003* 0.0069 -0.0028* 0.0058
(-2.52) (1.09) (-2.63) (0.92)
CEO wealth 0.014*** 0.057*** 0.014*** 0.060***
(5.47) (3.80) (5.57) (3.95)
CEO ownership 0.001 0.009 0.000 0.006
(1.00) (1.25) (0.79) (0.90)
Log Assets 0.039*** 0.452*** 0.038** 0.465***
(10.87) (21.06) (11.24) (23.54)
Volatility 0.0027*** 0.016*** 0.0027*** 0.01634***
(6.51) (6.57) (6.59) (6.62)
Year dummies Yes Yes Yes Yes
Country FE Yes Yes Yes Yes
Arranz /FMA, Atlanta 2016
Key Results
Β» We find that the presence of non independent outsiders moderates the levels of pay
Β» Non-independent outsiders pay incentives less often.
Β» Independent directors on average more compensation (specially equity linked compensation), and pay incentives more often.
Β» The proportion of incentives to total pay is not related to the proportion of independent directors (but it is related to the proportion of non-independent directors)
Arranz /FMA, Atlanta 2016
Robustness tests
Panel data analysis
Β» Resutls robust
Split the sample by ownership concentration
Β» Resutls robust
Split the sample by institutional settings:
Β» In countries with German and Scandinavian legal origins, board composition not related to level or structure of pay
Β» In countries with English and French legal origin, strong relation.
Arranz /FMA, Atlanta 2016