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    감사품질이 경영자 예측정보의 편의성 및 정확성에 미치는 영향: 감사능력 대 감사노력 = The Effect of Audit Quality on the Bias and Accuracy of Management Forecasts: Audit Competence vs. Audit Effort

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    https://www.riss.kr/link?id=A95938167

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    This study examines the effect of audit quality on the bias and accuracy of management forecasts. Management forecasts are voluntary in nature, and thus may not be reliable since managers may exercise discretion over the content and timing of management forecasts disclosures. However, high audit quality may restrict managers to exercise their discretion in the financial statements. This forces managers to forecast their sales and earnings as accurate as possible given that the discrepancy of forecasts from the actual numbers may cause managers to be legally liable. Audit quality is known as an elusive concept due to the difficulty to observe and measure. DeAngelo (1981) suggested that audit quality is jointly determined by auditor independence and auditor competence. Setting auditor independence aside, prior studies used audit firms size (BIG affiliation) and auditors` industry specialization as proxies for audit competence to address audit quality. However, one thing the audit quality literature did not consider is audit effort. The more audit hours an auditor makes, the higher audit quality is likely to be. An auditor can professionally respond to a particular audit contract by determining how much audit effort he/ she needs to make, while auditor reputation and industry expertise is beyond the scope of an individual auditor`s decision. This study examines whether Big 4 auditors or auditors with industry expertise induce managers to forecast with higher accuracy than non-Big 4 auditors or those with no industry expertise. In addition, the forecast accuracy is also higher when auditors make additional audit effort controlling for audit complexity and risk. We employ two proxies- forecast bias and forecast accuracy. This study uses the 638 firm-year management forecasts released by firms listed on the Korea Stock Exchange for the period of 2002 to 2008. Empirical results show that firms audited by Big 4 tend to have more accurate management forecasts, but no significant difference in forecast bias. When an auditor has industry expertise, no significant difference in management forecast bias and accuracy is observed. In addition the more additional effort an auditor makes (i.e., abnormal audit hours are positive), the more accurate management forecast is. In summary, it appears that there is a positive relation between audit quality and management forecast accuracy. This result is consistent with the explanation that high audit quality restricts managers to exercise their discretion in the financial statements and thus forces them to forecast as accurate as possible in order to reduce the cost associated with the inaccurate forecast (e.g., litigation risk and/or stock price plunge). One notable empirical result is the effect of audit effort on the relation of audit quality proxied by Big 4 affiliation and auditor industry specialization with management forecast accuracy. That is, the accuracy of management forecasts improves even for firms audited by non-Big 4 or industry non-specialist auditors if they make additional effort by spending audit hours more than the expected level of hours given audit complexity and audit risk. This result is interesting because it shows that audit quality is determined by not only audit competence but also audit effort. Note that audit firm-level audit competence can not be changed overnight. On the other hand, contract-level audit effort can be adjusted based on the risk assessment. This evidence illustrates the importance of professional responses to the audit risk to assure a certain level of audit quality, which has not been considered in the audit quality literature. Prior studies show that the joint provision of non-audit services to audit clients increases audit risk due to the greater economic dependence on the clients. The empirical test provides the evidence that auditors` additional effort can improve the accuracy of management forecasts even for the highly economic dependent clients. It appears that the concern about auditor independence in the presence of non-audit service provision to audit clients may be mitigated by providing additional audit effort. Overall, the results of this study suggest that market participants should use the audit hour information disclosed in the business report as well as the auditor reputation and expertise in judging the accuracy and credibility of management forecasts.
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    This study examines the effect of audit quality on the bias and accuracy of management forecasts. Management forecasts are voluntary in nature, and thus may not be reliable since managers may exercise discretion over the content and timing of manageme...

    This study examines the effect of audit quality on the bias and accuracy of management forecasts. Management forecasts are voluntary in nature, and thus may not be reliable since managers may exercise discretion over the content and timing of management forecasts disclosures. However, high audit quality may restrict managers to exercise their discretion in the financial statements. This forces managers to forecast their sales and earnings as accurate as possible given that the discrepancy of forecasts from the actual numbers may cause managers to be legally liable. Audit quality is known as an elusive concept due to the difficulty to observe and measure. DeAngelo (1981) suggested that audit quality is jointly determined by auditor independence and auditor competence. Setting auditor independence aside, prior studies used audit firms size (BIG affiliation) and auditors` industry specialization as proxies for audit competence to address audit quality. However, one thing the audit quality literature did not consider is audit effort. The more audit hours an auditor makes, the higher audit quality is likely to be. An auditor can professionally respond to a particular audit contract by determining how much audit effort he/ she needs to make, while auditor reputation and industry expertise is beyond the scope of an individual auditor`s decision. This study examines whether Big 4 auditors or auditors with industry expertise induce managers to forecast with higher accuracy than non-Big 4 auditors or those with no industry expertise. In addition, the forecast accuracy is also higher when auditors make additional audit effort controlling for audit complexity and risk. We employ two proxies- forecast bias and forecast accuracy. This study uses the 638 firm-year management forecasts released by firms listed on the Korea Stock Exchange for the period of 2002 to 2008. Empirical results show that firms audited by Big 4 tend to have more accurate management forecasts, but no significant difference in forecast bias. When an auditor has industry expertise, no significant difference in management forecast bias and accuracy is observed. In addition the more additional effort an auditor makes (i.e., abnormal audit hours are positive), the more accurate management forecast is. In summary, it appears that there is a positive relation between audit quality and management forecast accuracy. This result is consistent with the explanation that high audit quality restricts managers to exercise their discretion in the financial statements and thus forces them to forecast as accurate as possible in order to reduce the cost associated with the inaccurate forecast (e.g., litigation risk and/or stock price plunge). One notable empirical result is the effect of audit effort on the relation of audit quality proxied by Big 4 affiliation and auditor industry specialization with management forecast accuracy. That is, the accuracy of management forecasts improves even for firms audited by non-Big 4 or industry non-specialist auditors if they make additional effort by spending audit hours more than the expected level of hours given audit complexity and audit risk. This result is interesting because it shows that audit quality is determined by not only audit competence but also audit effort. Note that audit firm-level audit competence can not be changed overnight. On the other hand, contract-level audit effort can be adjusted based on the risk assessment. This evidence illustrates the importance of professional responses to the audit risk to assure a certain level of audit quality, which has not been considered in the audit quality literature. Prior studies show that the joint provision of non-audit services to audit clients increases audit risk due to the greater economic dependence on the clients. The empirical test provides the evidence that auditors` additional effort can improve the accuracy of management forecasts even for the highly economic dependent clients. It appears that the concern about auditor independence in the presence of non-audit service provision to audit clients may be mitigated by providing additional audit effort. Overall, the results of this study suggest that market participants should use the audit hour information disclosed in the business report as well as the auditor reputation and expertise in judging the accuracy and credibility of management forecasts.

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    참고문헌 (Reference)

    1 Baginski, S. P, "Why Do Managers Explain Their Earnings Forecasts" 42 (42): 1-29, 2004

    2 Francis, J. R, "The Role of Big 6 Auditors in the Credible Reporting of Accruals" 18 (18): 17-35, 1999

    3 Palmrose,Z.V, "The Relation of Audit Contract Type to Audit Fees and Hours" 64 (64): 488-500, 1989

    4 Simunic,D.A, "The Pricing of Audit Services: Theory and Evidence" 18 (18): 161-190, 1980

    5 Lopez, T. J, "The Effect of Beating and Missing Analysts' Forecasts in the Information Content of Unexpected Earnings" 17 (17): 155-184, 2002

    6 Becker, C. L, "The Effect of Audit Quality on Earnings Management" 15 (15): 1-24, 1998

    7 Francis,J.R, "The Effect of Audit Firm Size on Audit Prices" 6 (6): 133-151, 1984

    8 Ajinkya, B, "The Association between Outside Directors, Institutional Investors and the Properties of Management Earnings Forecasts" 43 (43): 343-376, 2005

    9 Karamanou, I, "The Association between Corporate Boards, Audit Committees, and Management Earnings Forecasts: An Empirical Analysis" 43 (43): 453-486, 2005

    10 Ruland,W, "The Accuracy of Forecasts by Management and by Financial Analysts" 53 (53): 439-447, 1978

    1 Baginski, S. P, "Why Do Managers Explain Their Earnings Forecasts" 42 (42): 1-29, 2004

    2 Francis, J. R, "The Role of Big 6 Auditors in the Credible Reporting of Accruals" 18 (18): 17-35, 1999

    3 Palmrose,Z.V, "The Relation of Audit Contract Type to Audit Fees and Hours" 64 (64): 488-500, 1989

    4 Simunic,D.A, "The Pricing of Audit Services: Theory and Evidence" 18 (18): 161-190, 1980

    5 Lopez, T. J, "The Effect of Beating and Missing Analysts' Forecasts in the Information Content of Unexpected Earnings" 17 (17): 155-184, 2002

    6 Becker, C. L, "The Effect of Audit Quality on Earnings Management" 15 (15): 1-24, 1998

    7 Francis,J.R, "The Effect of Audit Firm Size on Audit Prices" 6 (6): 133-151, 1984

    8 Ajinkya, B, "The Association between Outside Directors, Institutional Investors and the Properties of Management Earnings Forecasts" 43 (43): 343-376, 2005

    9 Karamanou, I, "The Association between Corporate Boards, Audit Committees, and Management Earnings Forecasts: An Empirical Analysis" 43 (43): 453-486, 2005

    10 Ruland,W, "The Accuracy of Forecasts by Management and by Financial Analysts" 53 (53): 439-447, 1978

    11 Hassell, J, "Relative Forecast Accuracy and the Timing of Earnings Forecast Announcement" 61 (61): 58-75, 1986

    12 Choi, J. H, "Reexamination of Bias in Management Earnings Forecasts" University of Illinois. 2000

    13 Kasznik,R, "On the Association between Voluntary Disclosure and Earnings Management" 37 (37): 57-81, 1999

    14 Barth, M. E, "Market Rewards Associated with Patterns of Increasing Earnings" 37 (37): 387-413, 1999

    15 Trueman.B, "Managerial Disclosure and Shareholder Litigation" 2 : 181-199, 1997

    16 Bartov, E, "Investor Sophistication and Patterns in Stock Returns after Earnings Announcements" 75 (75): 43-64, 2000

    17 Wooldridge,J, "Introductory Econometircs: A modern Approach" Thomson South-Western Publishing 2003

    18 Healy, P. M, "Information asymmetry, corporate disclosure, and the capital markets: A review of the empirical disclosure literature" 31 (31): 405-440, 2001

    19 Jaggi,B, "Further Evidence on the Accuracy of Management Forecasts Vis- a-Vis Analysts’ Forecasts" 54 (54): 96-101, 1980

    20 Hillegeist,S.A, "Financial Reporting and Auditing under Alternative Damage Appointment Rules" 74 (74): 347-370, 1999

    21 Myers, J. N, "Exploring the Term of the Auditor-Client Relationship and the Quality of Earnings: A Case for Mandatory Auditor Rotation" 78 (78): 779-799, 2003

    22 Skinner, D, "Earnings Surprises, Growth Expectations and Stock Returns or Don’t Let an Earnings Torpedo Sink Your Portfolio" 7 : 289-312, 2002

    23 Myers, L, "Earnings Momentum and Earnings Management" University of Illinois and University of Michigan 2002

    24 Kasznik, R, "Does Meeting Earnings Expectations Matter? Evidence from Analyst Forecast Revisions and Share Prices" 40 (40): 727-759, 2002

    25 Xu,Weihong, "Do management earnings forecasts incorporate information in accruals" 49 (49): 227-246, 2010

    26 Bamber, L. S, "Discretionary Management Earnings Fore- cast Disclosures: Antecedents and Outcomes Associated with Forecast Venues and Forecast Specificity Choices" 36 (36): 167-190, 1998

    27 Evans III, John H, "Disclosure-Disciplining Mechanisms: Capital Markets, Product Markets, and Shareholder Litigation" 77 (77): 595-626, 2002

    28 Baginski, S. P, "Determinants of management forecast precision" 72 (72): 303-313, 1997

    29 Ajinkya, B, "Corporate Managers’ Earnings Forecasts and Symmetrical Adjustments of Market Expectations" 22 (22): 425-444, 1984

    30 Hartnett,N.A, "Corporate Financial Forecast Accuracy: An Australian Study" 28 : 248-258, 1993

    31 Jiang,John, "Beating Earnings Benchmarks and the Cost of Debt" 83 (83): 377-416, 2008

    32 DeAngelo,L.E, "Auditor Size and Audit Quality" 3 (3): 183-199, 1981

    33 Clarkson,P.M, "Auditor Quality and the Accuracy of Management Earnings Forecasts" 17 (17): 595-622, 2000

    34 Balsam, S, "Auditor Industry Specialization and Earnings Quality" 22 (22): 71-97, 2003

    35 Craswell, A. T, "Auditor Brand Name Reputations and Industry Specializations" 20 (20): 297-322, 1995

    36 Dye,R.A, "Auditing Standards, Legal Liability and Auditor Wealth" 101 (101): 887-915, 1993

    37 Krishnan,G, "Audit Quality and the Pricing of Discretionary Accruals" 22 (22): 109-126, 2003

    38 Gramling, A. A, "Audit Firm Industry Expertise: A Review and Synthesis of the Archieval Literature" 20 : 1-27, 2001

    39 O'Keefe, T. B, "Audit Fees, Industry Spe- cialization, and Compliance with GAAS Reporting Standards" 13 (13): 41-55, 1994

    40 Palmrose,Z.V, "Audit Fees and Auditor Size: Further Evidence" 24 (24): 97-110, 1986

    41 Caramanis, C, "Audit Effort and Earnings Management" 45 (45): 116-138, 2008

    42 Waymire,G, "Additional Evidence on Accuracy of Analyst Forecasts Before and After Voluntary Management Earnings Forecasts" 61 (61): 129-142, 1986

    43 Balsam, S, "Accruals Management, Investor Sophistication, and Equity Valuation: Evidence from 10-Q Filings" 40 (40): 987-1012, 2002

    44 Brown, L. D, "A Temporal Analysis of Quarterly Earnings Thresholds: Propensities and Valuation Consequences" 80 (80): 423-440, 2005

    45 Davidson, R. A, "A Note on the Association between Audit Firm Size and Audit Quality" 9 (9): 479-488, 1993

    46 Basi, B. A, "A Comparison of the Accuracy of Corporate and Security Analysts’ Forecasts of Earnings" 51 (51): 244-254, 1976

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