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Competitive pressure, audit quality and industry specialization Wieteke Numan (KU Leuven) Marleen Willekens (KU Leuven) University of Oklahoma Price College.

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Presentation on theme: "Competitive pressure, audit quality and industry specialization Wieteke Numan (KU Leuven) Marleen Willekens (KU Leuven) University of Oklahoma Price College."— Presentation transcript:

1 Competitive pressure, audit quality and industry specialization Wieteke Numan (KU Leuven) Marleen Willekens (KU Leuven) University of Oklahoma Price College of Business Steed School of Accounting Conference Regulation and the Audit Industry 18 May 2012

2 o Audit market has high level of concentration, a given demand for audits and high entry barriers → Regulators are concerned o Former SEC Chairman Christopher Cox on the 2005 AICPA National Conference: “… within the accounting profession and within the SEC, we are forced to ask ourselves: “Is this intense concentration in the market for large public company auditing good for America?” If you believe, as I do, that genuine competition is essential to the proper function of any market the answer is no.” Motivation

3 o U.S. Government Accountability Office, Audits of public companies, 2008: “ Firms with significant market power have to potential to reduce the quality of their products… however the presence of high market shares does not necessarily mean anticompetitive behavior is occurring… … competition in an oligopoly can also be intense and result in a market with competitive prices, innovation and high-quality-products ” Motivation

4 o Green paper, European Commission, October 13, 2010: “ The market appears to be too concentrated in certain segments and deny clients sufficient choice when deciding on their auditors. Moreover, being an auditor of large listed companies seems to create a reputational endorsement” o UK - House of Lords Inquiry July 2010 / report Economics Affairs Committee March 2011 “….. explore concerns that market domination by a small number of firms damages competition and reduces choice in the audit market as well as raising questions about the quality of audited accounts…”

5 o What are the effects of competition on audit quality? o Is supplier concentration a good measure when assessing competition in the audit market? o Which economic theory fits the audit market and competition within that market? Intended contribution

6 Key findings oConcentration per se does not seem to affect audit quality oThe pressure from a closely competing audit firm does. Higher pressure is associated with lower quality oThe likelihood of issuing a going concern opinion and the accruals based quality of earnings are affected by industry expertise dominance over the closest competitor.

7 Competition surely exists even in oligopolies….

8 The Herfindahl measure of competition Market A (city-industry) AuditorMarket share 160% 210% 310% 410% 510% Herf = 40% Market B (city-industry) AuditorMarket share 130% 225% 320% 415% 510% Herf = 22.5% Which market is most competitive? And why?

9 Competitive Pressure? - (Absolute difference between incumbent office’s market share and the market share of the office that has the closest market share to that of the incumbent office) Market A (city-industry) Auditor Mkt - Abs. diff 1 60%-50% 2 10%0% 3 10%0% 4 10%0% 5 10%0% Market B (city-industry) Auditor Mkt - Abs. diff 1 30%-5% 2 25%-5% 3 20%-5% 4 15%-5% 5 10%-5% Herf = 0.40 Herf = 0.225

10 Problems with the Herfindahl The Herfindahl is derived theoretically from a model of Cournot competition –Cournot may not be a good description of the matching process between audit firms and clients The conclusion that concentrated markets are less competitive does not hold when: –there are search costs (Stiglitz, JPE 1987) –competition is on price rather than quantity Assumes that the level of competition is the same for all firms within a given market

11 o Previous studies examine the relationship between audit quality and market concentration, but find mixed results oKallapur et al. (2010) and Newton et al. (2011) – positive association oFrancis et al. (2012) – international study Two facets of concentration: oB4 concentration level: positive association oWithin B4 herfindex: negative association Concentration and quality

12 o Differentiation through industry specialization (market share) o Lim and Tan (2008): no main effect Only conditional on high joint supply of NAS o Reichelt and Wang (2010): positive main effect Prior empirical studies audit quality and differentiation? → Effects of Industry specialization are studied, but not the effect of competitive pressure?

13 o Based on theoretical front end in Simunic (1980) = neo-classical economics: oPerfect competition vs. monopolistic pricing oNo strategic elements included o However, is this the appropriate model to study competition in the audit market? oOligopolistic competition oProduct differentiation (horizontal /vertical) Prior empirical studies about competition in the audit market

14 Competition through differentiation o Oligopolistic competition through differentiation o The audit market characterized by a large number of heterogeneous clients that pay unique fees: heterogeneity of consumer tastes → horizontal differentiation o Clients are willing to pay higher fees for audits performed by different type of auditors → horizontal and vertical product differentiation

15 - auditors strategically choose to become ex post heterogeneous through specialization - audit firms modeled as Bertrand oligopolists who simultaneously choose specializations w.r.t. client characteristics - empirically tested by merger Price Waterhouse and Coopers & Lybrand in Australia Chan et al. (2004): location model

16 Competition and audit pricing. oNuman and Willekens (2012) show that on a city level, audit fees not only increase in the level of industry expertise, but also in industry expertise dominance over the closest competitor → First aspect of market location through differentiation = Industry specialization as measure of auditor fit with client → Second aspect of market location through differentiation = Distance/closeness of closest competitor oHence: competitive pressure (market share distance) from closest competitor has negative (positive) effect on audit fees

17 Competition and quality? - Industry experts can deliver higher quality as specialists earn fee premiums that they can invest further in industry knowledge of the client. In an oligopolistic competition setting, the pressure from close (read: similar) competitors puts fee premiums under pressure, which could lead to lower effort/quality. - In a competitive market, an auditor is more likely to lose its clients to competitors. The auditor has stronger incentives to please management in order to keep the engagement. + Competitive pressure may force the auditor to distinguish himself on other factors than price and results in innovation, for example to avoid client switching (GAO report 2008)

18 The extent to which pressure from close competitor affects audit quality is an open, empirical question

19 Design Model Degryse and Ongena (2005) and Numan and Willekens (2012): Audit quality =P (going concern) Accruals-based earnings quality Competitive pressure = Industry market share ‘closeness’ to closest competitor Industry expertise = Fit between the auditor and client in terms of industry specialization Controls =i.e. Alternative competition variables such as the Herfindahl Index and Big4

20 Industry specialization measures Riley and Neal (2004): Market share approach: “How well has an audit firm differentiated itself from its competitors in terms of market share within a particular industry” Possible to designate specialists to industries that are too small Possible to inadequately recognize large, highly competitive industries where most major accounting firms generate significant revenues and devote significant resources to develop industry audit technologies Portfolio share approach: “Relative distribution of audit services and related audit fees across the various industries for each audit firm considered individually” Could be driven by size of the industry

21 Sample and data o Audit market m: Audit firms serving a 2-digit SIC industry in a Metropolitan Statistical Area (MSA /City level; Francis et al. 2005) o Competitive pressure: ‘Closeness’ of closest competitor based on industry market share o Industry expertise: Both portfolio share measures and market share measures (Neal and Riley 2004)

22 Going concern analysis o Industry specialists have the expertise and independence to more often issue a going concern opinion (Lim and Tan 2008; Li 2009) o Sample is restricted to financially distressed firms (Lim and Tan 2008; Li 2009). o Sample period 2005-2008 o Data sources: Compustat, Audit Analytics o 4,134 firm-year observations; about 20% received a going concern opinion

23 Descriptives Going-concern sample NMeanStdDevMinP25MedianP75Max Dependent variable Going concern41340.2040.4030.000 1.000 Independent variables Competitive pressure closest competitor4134-0.1400.219-0.955-0.167-0.034-0.0040.000 Industry expertise (office)41340.3180.3410.0040.0560.1700.4671.000 Industry expertise (national)41340.1650.2110.0000.0560.0890.1721.000 Industry leader (office)41340.2500.4330.000 1.000 Industry leader (national)41340.1380.3450.000 1.000 Industry specialist (office)41340.1830.3870.000 1.000 Industry specialist (national)41340.1180.3220.000 1.000 Herfindex_msa41340.2780.0740.1640.2400.2610.2910.993 Total assets in million $413438411470.050155620111550 Size41343.9742.119-2.9962.6894.0335.3019.354 Current ratio41343.2743.7230.0071.1242.0353.97829.396 Leverage41340.1760.3040.000 0.0220.2532.745 Leverage change41340.0230.189-1.087-0.0050.0000.0341.333 Roa4134-0.6791.962-31.676-0.567-0.208-0.0490.299 Loss_lag141340.7530.4320.0001.000 Cfo_lag14134-0.3250.944-11.383-0.308-0.0630.0390.420 Sales_turn41340.8850.8630.0000.2130.6631.2934.820 MTB41342.6158.803-55.0720.7181.7583.84280.351 Big441340.4830.5000.000 1.000 Ln_tenure41341.6690.7920.0001.0991.7922.1973.401

24 Earnings quality analysis o High quality auditors are more likely to detect questionable accounting practices and misrepresentations o Industry leadership / expertise is associated with higher earnings quality (i.e. Reichelt and Wang 2010) o Our measure of earnings quality: performance-adjusted abnormal accruals based on a cross-sectional Jones (1991) model.

25 Earnings quality analysis o Sample period 2005-2008 o Data sources: Compustat, Audit Analytics o 7,071 firm-year observations and 2,640 unique clients

26 Descriptives abnormal accruals sample NMeanStdDevMinP25MedianP75Max Dependent variable Abs_abn_accruals70710.1110.1190.0000.0370.0790.1441.253 Independent variables Competitive pressure closest competitor7071-0.1860.248-0.970-0.246-0.070-0.0170.000 Industry expertise (office)70710.2430.2950.0040.0390.1120.3201.000 Industry expertise (national)70710.1190.1720.0030.0330.0740.1131.000 Industry leader (office)70710.3390.4730.000 1.000 Industry leader (national)70710.2020.4020.000 1.000 Industry specialist (office)70710.2420.4290.000 1.000 Industry specialist (national)70710.1760.3810.000 1.000 Herfindex_msa70710.2810.0740.1640.2400.2620.2960.993 Total assets in million $7071144437020.6255321895030734 Size70715.4232.048-0.4703.9625.3836.85610.333 Std_cfo70710.1110.1830.0080.0330.0580.1162.816 Cfo7071-0.0090.282-2.927-0.0240.0660.1250.327 Leverage70710.1540.2100.000 0.0610.2491.487 Loss70710.4110.4920.000 1.000 MTB70712.8604.209-24.0111.2582.1433.66137.904 Litigation70710.3380.4730.000 1.000 Current ratio70713.0142.6170.0821.4012.1663.64519.901 Roa7071-0.1020.386-5.283-0.1190.0260.0750.298 Sales_turn70711.0260.7400.0000.5040.8801.3744.253 Total_accruals_lag7071-0.0810.184-2.553-0.094-0.046-0.0120.266 Ln_tenure70711.8660.8380.0001.3861.9462.4853.526 Big470710.6730.4690.000 1.000

27 Dependent variable: P (going concern) Expertise = Portfolio share ParameterEstimateProbEstimateProb Intercept0.5910.08050.6680.0502 Competitive pressure-0.5060.0440 Industry expertise (office)0.4990.00940.4500.0205 Herfindex_msa-0.9090.2286-1.2110.1169 Other control variables

28 Dependent variable: P (going concern) Expertise = Leader ParameterEstimateProbEstimateProb Intercept0.7690.01980.8160.0140 Competitive pressure-0.4790.0781 Industry expertise (office)0.2740.08530.1530.3802 Herfindex_msa-0.5010.4880-0.7830.2925 Other control variables

29 Dependent variable: Abnormal accruals Expertise = Portfolio share ParameterEstimateProbEstimateProb Intercept0.1350.00020.1310.0003 Competitive pressure0.0220.0135 Industry expertise (office)0.0080.43160.0120.2973 Herfindex_msa-0.0230.2783-0.0120.66111 Other control variables

30 Dependent variable: Abnormal accruals Expertise = Leader ParameterEstimateProbEstimateProb Intercept0.1430.00000.1380.0000 Competitive pressure0.0280.0007 Industry expertise (office)0.0020.54040.0090.0632 Herfindex_msa-0.0140.59180.0040.8873 Other control variables

31 Competition and audit quality Competitive pressure ∆↑ 10% - P(going concern) ↓ from 12.9% to 12.1% Earnings quality ↓ ∆ 2% Similar results Big 4 and non-Big 4 firms No effect of general concentration

32 Conclusions and interpretations oThe higher the pressure from a closely competing audit firm, the lower the delivered audit quality of the incumbent audit firm. oThe likelihood of issuing a going concern opinion or the accruals based quality of earnings are affected by industry expertise dominance over the closest competitor.

33 Some limitations oEndogeneity oMeasure of ‘fit’ dimensions of auditor differentiation oDefinition of market segments oVertical or horizontal differentiation?

34 Thank you for your comments and attention


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