scholarly journals Political Patronage, Audit Quality and the Properties of Analysts' Earnings Forecasts in Malaysia

2020 ◽  
Author(s):  
Willie E. Gist ◽  
Effiezal Aswadi Abdul Wahab
Keyword(s):  
Financial Reporting ◽  
Positive Relationship ◽  
Audit Quality ◽  
Negative Relationship ◽  
Forecast Accuracy ◽  
Reporting Quality ◽  
Earnings Forecasts ◽  
Earnings Forecast ◽  
Forecast Dispersion ◽  
Political Patronage

Based on a sample of 2,034 Malaysian listed firm-year observations for the period 2007-2014, this study shows a negative relationship between dimensions of political patronage (i.e., politically connected firms and the percentage of Bumiputera directors) and analysts' earnings forecast accuracy. Furthermore, the study documents a positive relationship between Bumiputera directors and earnings forecast dispersion. These results suggest that the political patronage of firms is associated with low-quality earnings. We also find that measures of high audit quality are associated with high financial reporting quality and that this is evident in firms with high audit quality showing a weaker negative (positive) relationship between forecast accuracy (dispersion) and political connections and high levels of Bumiputera directors. Overall, the findings suggest that high audit quality plays an important role in mitigating agency costs of information asymmetry by improving the financial information environment.

Audit Quality and Properties of Analyst Earnings Forecasts

2008 ◽  
Vol 83 (2) ◽  
pp. 327-349 ◽  
Author(s):  
Bruce K. Behn ◽  
Jong-Hag Choi ◽  
Tony Kang
Keyword(s):  
Financial Reporting ◽  
Audit Quality ◽  
Forecast Accuracy ◽  
Reporting Quality ◽  
Earnings Forecasts ◽  
Earnings Forecast ◽  
Forecast Dispersion ◽  
Industry Specialization ◽  
Big 5 ◽  
Analyst Earnings

Under the assumption that audit quality relates positively to unobservable financial reporting quality, we investigate whether audit quality is associated with the predictability of accounting earnings by focusing on analyst earnings forecast properties. The evidence shows that analysts' earnings forecast accuracy is higher and the forecast dispersion is smaller for firms audited by a Big 5 auditor. We further find that auditor industry specialization is associated with higher forecast accuracy and less forecast dispersion in the non-Big 5 auditor sample but not in the Big 5 auditor sample. Overall, our results suggest that high-quality audit provided by Big 5 auditors and industry specialist non-Big 5 auditors is associated with better forecasting performance by analysts.

Auditor Governance, Institutions and Analyst Forecast Properties: International Evidence

2013 ◽  
Vol 13 (1) ◽  
pp. 1-32 ◽  
Author(s):  
Arnt J. M. Verriest
Keyword(s):  
Audit Quality ◽  
Investor Protection ◽  
Forecast Accuracy ◽  
Earnings Forecasts ◽  
Earnings Forecast ◽  
Political Rights ◽  
Forecast Dispersion ◽  
Big 4 ◽  
Political Forces ◽  
Governance Institutions

ABSTRACT This paper investigates how political and legal institutions affect the governance role of auditors for a sample of firms originating in 42 countries. Prior studies focus on investor protection, but I focus on political rights as well. Specifically, I investigate how institutions and audit quality affect financial statement users' decision-making by considering properties of analysts' earnings forecasts. The evidence shows that forecast accuracy is lower and forecast dispersion higher for firms operating in countries with fewer political rights. Of particular interest is the finding that the association between Big 4 audits and earnings forecast properties is stronger in weak political environments. This finding suggests that auditors play an important—and up to now undocumented—governance role when political rights are low and political forces influential. My results also indicate that reporting reliability increases as investor protection becomes stronger. However, this result only holds for Big 4 clients, consistent with the notion that audits play a greater governance role in stronger legal environments.

The Moderating Effect of Industry Concentration on the Relations Between External Attributes and the Properties of Analyst Earnings Forecast

2013 ◽  
Vol 16 (03) ◽  
pp. 1350019 ◽  
Author(s):  
Yu-Cheng Chen ◽  
Chiung-Yao Huang ◽  
Pei-I Chou
Keyword(s):  
Forecast Accuracy ◽  
Earnings Forecasts ◽  
Moderating Effect ◽  
Industry Concentration ◽  
Earnings Forecast ◽  
Moderating Effects ◽  
Forecast Dispersion ◽  
Earnings Surprise ◽  
Using Data ◽  
Analyst Earnings

Based on the work of earlier studies, the main objective of this study is to determine whether the properties of analyst earnings forecast are related to the interaction effects of external attributes and industry concentration that were not the focus of previous research. Specifically, this study examines the relations between external attributions and the properties of analyst earnings forecasts. Furthermore, we explore the moderating effect of industry concentration on the relations between external attributions and the properties of analyst earnings forecasts. Using data from Compustat and I/B/E/S, we provide evidence that analysts' earnings forecast accuracy is lower and the forecast dispersion is larger for firms with more earnings surprise. Firms with more analysts' forecasts covering are associated with higher forecast accuracy, but not necessarily higher forecast dispersion. The moderating effects of industry concentration on the relationships between earnings surprise, the number of estimates covering the company and forecast accuracy are particularly strong. In addition, the moderating effects of industry concentration on the relationship between earnings surprise, the number of estimates covering the company and the forecast dispersion are partially supported. Overall, the industrial concentration factor either magnifies or alleviates the effect of external attributions on analyst's forecast accuracy and forecast dispersion.

scholarly journals Audit Committee Accounting Expertise, Analyst Following, and Market Liquidity

2016 ◽  
Vol 33 (2) ◽  
pp. 174-199 ◽  
Author(s):  
David B. Farber ◽  
Shawn X. Huang ◽  
Elaine Mauldin
Keyword(s):  
Financial Reporting ◽  
Trading Volume ◽  
Audit Committee ◽  
Audit Quality ◽  
Reporting Quality ◽  
Earnings Forecasts ◽  
Market Liquidity ◽  
Management Earnings Forecasts ◽  
Analyst Following ◽  
Accounting Expertise

We study the relation between audit committee accounting expertise, analyst following, and market liquidity. Our main results indicate that analyst following increases subsequent to the appointment of an accounting expert to the audit committee. We also provide evidence that accrual quality, as opposed to audit quality or management earnings forecasts, is the channel through which accounting expertise increases analyst following and improves analyst forecast properties. We also show that audit committee accounting expertise is related to higher trading volume and lower liquidity risk, supporting incentives for greater analyst following. Our study extends prior literature by providing evidence that audit committee accounting expertise enhances firms’ information environment beyond the effects it has on financial reporting quality or analysts’ forecast properties. Our study also complements the literature on determinants of analyst following and market liquidity, both of which are related to cost of capital. Results from our study should be useful to firms seeking to enhance analyst following and market liquidity.

scholarly journals The Qualitative Characteristics of Accounting Information, Earnings Quality, and Islamic Banking Performance: Evidence from the Gulf Banking Sector

2020 ◽  
Vol 8 (2) ◽  
pp. 30
Author(s):  
Ibrahim Elsiddig Ahmed
Keyword(s):  
Financial Reporting ◽  
Positive Relationship ◽  
Banking Sector ◽  
Earnings Quality ◽  
Negative Relationship ◽  
Reporting Quality ◽  
Financial Reporting Quality ◽  
Annual Reports ◽  
Significant Positive Relationship ◽  
Qualitative Characteristics

The study aims to operationalize financial reporting quality in terms of the qualitative characteristics (QCs) as stated by the Accounting and Auditing Organization of Islamic Financial Institutions (AAOIFI) standards, as well as to investigate their association with earnings quality (EQ) and banking performance. The study uses secondary data extracted from DataStream to operationalize and measure the financial reporting quality in the annual reports of 25 out of the 27 Islamic banks in the Gulf Council Countries (GCC) for a 5-year period (2014–2018), meaning 125 annual reports were used. The study applies a manual content analysis to the annual reports to score all the items of QCs and operationalizes 25 measurement items that represent the six QCs. All items use 5-point Likert-type scales to compute the sub-score and the overall index through the Neural Network System. The findings of the model paths show a significant positive relationship between EQ and most of the QCs. The first hypothesis is partially accepted as there is a positive relationship between EQ and relevancy, reliability, prudence and general quality; however, there is no significant relationship between EQ and understandability and there is a significant negative relationship between EQ and comparability. Moreover, the study finds a significant positive relationship between EQ and ROA on one hand and EQ and ROE on the other hand (p-value = 0.00), meaning the second hypothesis is supported.

scholarly journals Corporate Governance And The Quality Of Financial Disclosures

2010 ◽  
Vol 9 (6) ◽  
Author(s):  
Mark Myring ◽  
Rebecca Toppe Shortridge
Keyword(s):  
Corporate Governance ◽  
Financial Reporting ◽  
Forecast Accuracy ◽  
Reporting Quality ◽  
Earnings Forecasts ◽  
Quality Of Accounting Information ◽  
Financial Disclosures ◽  
Analyst Earnings ◽  
The Impact

Congress has recently enacted measures designed to improve corporate governance standards.  Regulators have asserted that strong corporate governance enhances the transparency and validity of financial statements.  Previous studies addressing the relationship between corporate governance and financial reporting quality yield mixed results.  This study employs analyst earnings forecasts to determine whether corporate governance procedures impact the quality of accounting information.  Following the work of Barron et al. (1998), we examined the impact of various measures of the strength of corporate governance on forecast accuracy and dispersion.  Our results provide mixed evidence to support the notion that the strength of corporate governance impacts the quality of financial statement information. 

scholarly journals Does Auditor Industry Specialization Increase Analysts’ Forecast Accuracy? Evidence from the Listed Firms of Australia

2020 ◽  
Vol 16 (3) ◽  
pp. 46
Author(s):  
Aditi Shams
Keyword(s):  
Audit Quality ◽  
Empirical Test ◽  
Forecast Error ◽  
Forecast Accuracy ◽  
Earnings Forecast ◽  
Forecast Errors ◽  
Forecast Dispersion ◽  
Industry Specialization ◽  
Listed Firms ◽  
Auditor Industry Specialization

This paper examines the relation between auditor industry specialization and analysts’ beginning-of-the-year earnings forecast accuracy. It predicts that the higher industry specialization of the auditors will improve the quality of external financial reports and thus mitigates the analysts’ forecast error. It also predicts that higher audit quality will have a negative association with analyst forecast dispersion. The empirical test results on Australian listed firms from the year 2003 to 2012 does not find evidence of association between audit firm industry specialization and analysts’ beginning-of the year earnings forecast error. However, firms with higher analysts forecast error is associated with lower forecast dispersion among analysts, which is consistent with the prediction that analysts are consistent with predicting future earnings and analysts possess similar traits in terms of difference with the actual earnings. Additional analysis also finds that’s larger firms have less forecast errors compared to smaller firms. The findings contribute to the growing literature on auditing and financial reporting quality in Australian context.

scholarly journals COMPLIANCE WITH IFRS REQUIRED DISCLOSURE AND ANALYSTS’ FORECAST ERRORS: EVIDENCE FROM BRAZIL

2018 ◽  
Vol 29 (1) ◽  
pp. 77-100 ◽  
Author(s):  
Edilene Santana Santos ◽  
Flávia Almeida Morato da Silva ◽  
Hsia Hua Sheng ◽  
Mayra Ivanoff Lora
Keyword(s):  
Financial Reporting ◽  
Negative Relationship ◽  
Forecast Accuracy ◽  
Economic Benefits ◽  
Earnings Forecast ◽  
Forecast Errors ◽  
Ifrs Adoption ◽  
Compliance Level ◽  
Before And After ◽  
The Impact

We analyze the relationship between analysts' earnings forecast errors and Brazilian listed firms’ compliance with International Financial Reporting Standards (IFRS) required disclosure. Through analysis of a panel data, we examine whether the variance in the Brazilian firms’ disclosure compliance levels in the Notes to Financial Statements for 2010 and 2012 affects analysts’ earnings forecast errors for 2011 and 2013, respectively, finding a significant negative relationship between these variables. By performing a compliance level analysis per firm, our study considers whether and to what extent firms effectively disclose as required by IFRS (as “IFRS serious adopters”), distinguishing them from firms that mere formally adopt IFRS (as “IFRS label adopters”), without effectively complying with it. Following other studies, we use four alternative models to measure the disclosure compliance level per firm, and we do not find significant improvement in the firms’ disclosure levels from 2010 to 2012, except if we use the most tolerant model.  By this approach, our research contributes to clarify the impact of IFRS adoption on analysts’ forecast accuracy, as other studies that use only binary variables (analysts’ forecasts before and after IFRS adoption) have found contradictory results. Our findings confirm other studies on the international accounting convergence in other countries, emphasizing that compliance is at least as important as the simply formal IFRS adoption. This corroborates the relevance of enforcement mechanisms to induce firms to better comply with IFRS, thus to better attain the economic benefits expected from its adoption.

I/B/E/S Reported Actual EPS and Analysts' Inferred Actual EPS

2012 ◽  
Vol 88 (3) ◽  
pp. 853-880 ◽  
Author(s):  
Lawrence D. Brown ◽  
Stephannie Larocque
Keyword(s):  
Majority Rule ◽  
Forecast Accuracy ◽  
Earnings Forecasts ◽  
Analyst Forecast ◽  
Earnings Forecast ◽  
Sample Period ◽  
Forecast Dispersion ◽  
Forecast Revisions ◽  
Earnings Surprises ◽  
Analyst Earnings

ABSTRACT Users of I/B/E/S data generally act as if I/B/E/S reported actual earnings represent the earnings analysts were forecasting when they issued their earnings estimates. For example, when assessing analyst forecast accuracy, users of I/B/E/S data compare analysts' forecasts of EPS with I/B/E/S reported actual EPS. I/B/E/S states that it calculates actuals using a “majority rule,” indicating that its actuals often do not represent the earnings that all individual analysts were forecasting. We introduce a method for measuring analyst inferred actuals, and we assess how often I/B/E/S actuals do not represent analyst inferred actuals. We find that I/B/E/S reported Q1 actual EPS differs from analyst inferred actual Q1 EPS by at least one penny 39 percent of the time during our sample period, 36.5 percent of the time when only one analyst follows the firm (hence, this consensus forecast is based on the “majority rule”), and 50 percent of the time during the last three years of our sample period. We document two adverse consequences of this phenomenon. First, studies failing to recognize that I/B/E/S EPS actuals often differ from analyst inferred actuals are likely to obtain less accurate analyst earnings forecasts, smaller analyst earnings forecast revisions conditional on earnings surprises, greater analyst forecast dispersion, and smaller market reaction to earnings surprises than do studies adjusting for these differences. Second, studies failing to recognize that I/B/E/S EPS actuals often differ from analyst inferred actuals may make erroneous inferences.

Auditor and FASB Responsibilities for Representing Underlying Economics—What U.S. Standards Actually Say

2018 ◽  
Vol 32 (3) ◽  
pp. 83-90 ◽  
Author(s):  
Zoe-Vonna Palmrose ◽  
William R. Kinney
Keyword(s):  
Financial Reporting ◽  
Audit Quality ◽  
Reporting Quality ◽  
Financial Statements ◽  
Financial Reporting Quality ◽  
Or Practice

SYNOPSIS Does the auditor's responsibility under U.S. authoritative guidance extend to providing assurance of financial reporting quality—specifically whether financial statements “faithfully reflect the firm's underlying economics”—after the auditor has concluded that financial statements are fairly presented in conformity with GAAP, in all material respects? The question arises because DeFond and Zhang (2014) state such a view and cite U.S. authoritative guidance as support. We review SEC, PCAOB, and FASB guidance and other sources and find no authoritative support for DeFond and Zhang's (2014) view. We also find that the PCAOB explicitly recognizes the lack of objective criteria that would be necessary to evaluate financial reporting quality beyond application of GAAP to events and transactions. Further, we find no evidence that practicing auditors do (separately) assess or assure that financial statements faithfully reflect the entire firm's underlying economics. Overall, these findings suggest DeFond and Zhang (2014) express a personal (and impracticable) normative view and not the auditor's actual responsibility or practice under extant U.S. standards. More broadly, results reinforce the importance of defining and measuring audit quality based on the auditor's actual responsibilities and the importance of accurately characterizing authoritative guidance and practice for scholarship regarding complex and multifaceted matters, including audit quality.

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