The Effect of First Wave Mandatory XBRL Reporting across the Financial Information Environment

2012 ◽  
Vol 26 (1) ◽  
pp. 127-153 ◽  
Author(s):  
Joung W. Kim ◽  
Jee-Hae Lim ◽  
Won Gyun No
Keyword(s):  
Stock Returns ◽  
The Body ◽  
Information Environment ◽  
Financial Information ◽  
Data Availability ◽  
Market Condition ◽  
Matched Pair ◽  
Uncertain Information ◽  
Information Risk ◽  
Earnings Releases

ABSTRACT This study examines the effect of mandatory XBRL disclosure across various aspects of the financial information environment. Our findings show an increase in information efficiency, a decrease in event return volatility, and a reduction of change in stock returns volatility for 428 firms (1,536 10-K and 10-Q filings) post-XBRL disclosure. In addition, this study shows that XBRL mitigates information risk in the market, especially when there is increased uncertainty in the information environment. Our results are robust to various alternative specifications and research modifications, such as a matched-pair control (326 XBRL versus 326 non-XBRL firms), current stock market condition, potential earnings releases, and corporate governance. This study contributes to the literature by systematically documenting evidence of how mandatory XBRL disclosure decreases information risk and information asymmetry in both general and uncertain information environments. Our evidence could potentially assist the SEC in their effort to expeditiously assess the benefits of XBRL. Data Availability: The list of firms used in the study is available from Professor Lim upon request. All other data are available from sources identified in the body of the paper.

Non-Earnings Conference Calls: Content, Determinants, and Consequences

2021 ◽  
Author(s):  
Lin Wang
Keyword(s):  
Computational Linguistic ◽  
Stock Market ◽  
Stock Returns ◽  
Information Environment ◽  
Conference Calls ◽  
Quarterly Earnings ◽  
Earnings Releases ◽  
Abnormal Stock Returns ◽  
Market Consequences ◽  
Loss Firms

I use computational linguistic techniques to study the content, determinants, and stock market consequences of conference calls that are not held in conjunction with quarterly earnings releases (hereafter, non-earnings conference calls). I find that large firms, loss firms, firms with more volatile earnings and returns, and firms with complex operations and a greater number of analysts following hold more non-earnings conference calls. Firms with volatile earnings and greater operational complexity discuss more earnings, investment, and market-related topics in non-earnings conference calls. These results are consistent with the notion that firms facing greater informational problems hold more non-earnings conference calls. I also find that controlling for other disclosure types, non-earnings conference calls incrementally explain quarterly abnormal stock returns, suggesting that they indeed help improve firms' information environment.

Information risk, stock returns, and asset pricing: Evidence from China

2017 ◽  
Vol 30 (4) ◽  
pp. 379-394 ◽  
Author(s):  
Raheel Safdar ◽  
Chen Yan
Keyword(s):  
Stock Returns ◽  
Factor Model ◽  
Empirical Literature ◽  
Firm Level ◽  
Cross Sectional ◽  
Market Pricing ◽  
Content Type ◽  
Information Risk ◽  
Accruals Quality ◽  
Three Factor

Purpose This study aims to investigate information risk in relation to stock returns of a firm and whether information risk is priced in China. Design/methodology/approach The authors used accruals quality (AQ) as their measure of information risk and performed Fama-Macbeth regressions to investigate association of AQ with future realized stock returns. Moreover, two-stage cross-sectional regression analysis was performed, both at firm level and at portfolio level, to test if the AQ factor is priced in China in addition to existing factors in the Fama French three-factor model. Findings The authors found poor AQ being associated with higher future realized stock returns. Moreover, they found evidence of market pricing of AQ in addition to existing factors in the Fama French three-factor model. Further, subsample analysis revealed that investors value AQ more in non-state owned enterprises than in state owned enterprises. Research limitations/implications The study sample comprises A-shares only and the generalization of the findings is limited by the peculiar institutional and economic setup in China. Originality/value This study contributes to market-based accounting literature by providing further insight into how and if investors value information risk, and it seeks to fill gap in empirical literature by providing evidence from the Chinese capital market.

Revisiting the (Mis)Pricing of Accruals

2019 ◽  
Vol 4 (1) ◽  
pp. 141-156
Author(s):  
Bradley Lail ◽  
Robert C. Lipe ◽  
Han S. Yi
Keyword(s):  
Stock Returns ◽  
Null Hypothesis ◽  
Statistical Tests ◽  
Cash Flows ◽  
Data Availability ◽  
Investor Behavior ◽  
Reliability Measures ◽  
Accrual Anomaly ◽  
Earnings Components ◽  
Jel Classifications

Our paper examines inconsistent conclusions regarding the accrual anomaly and demonstrates the importance of aligning regression specifications with hypotheses. Richardson, Sloan, Soliman, and Tuna (2005) conclude that accruals are mispriced and the mispricing seems to increase as accrual reliability decreases. Barone and Magilke (2009) and Ball, Gerakos, Linnainmaa, and Nikolaev (2016) conclude that cash flows rather than accruals are mispriced. We show that the divergent conclusions come from misalignment between the null hypothesis and regression specification in Richardson et al. (2005) . In addition, analysis of the contemporaneous relations between stock returns and components of earnings supports an initial underreaction to cash flows by investors. We fail to detect links between the reliability measures in Richardson et al. (2005) and investor behavior once we align the statistical tests with the null hypothesis. Our reexamination of prior findings benefits accounting academics, standard setters, and others interested in how investors use earnings components. JEL Classifications: M41. Data Availability: All data used in this study are publicly available from the sources identified in the text.

Decision Method of Optimal Investment Enterprise Selection under Uncertain Information Environment

2015 ◽  
Vol 4 (1) ◽  
pp. 33-42 ◽  
Author(s):  
Xiaoyong Liao
Keyword(s):  
Decision Making ◽  
Optimal Investment ◽  
Information Environment ◽  
Investment Risk ◽  
Uncertain Information ◽  
Fuzzy Information ◽  
Selection Decision ◽  
Deviation Degree ◽  
Grey Number ◽  
Decision Making Model

To select an optimal investment enterprise is the key to effectively reduce the investment risk for an investment company. In this paper, the author studies the problem of optimal investment enterprise selection decision under uncertain information environment (fuzzy information and grey information coexist), and present a fuzzy grey multi-attribute group decision making model to select the optimal investment enterprise. In this model, the author defines the concept and operations of fuzzy grey number, and present a ranking method based on fuzzy grey deviation degree to rank the alternative investment enterprises. The author also gives an application example of selecting optimal investment enterprise to highlight the implementation, availability, and feasibility of the proposed decision making model.

Financial Information, Risk, and Share Value

1992 ◽  
Vol 30 (7) ◽  
Author(s):  
John C Groth ◽  
Clair J. Nixon
Keyword(s):  
Financial Information ◽  
Information Risk ◽  
Share Value

Equal opportunity market

2019 ◽  
Vol 18 (3) ◽  
pp. 508-531
Author(s):  
Jennifer Bannister ◽  
Li-Chin Jennifer Ho ◽  
Xiaoxiao Song
Keyword(s):  
Stock Returns ◽  
Market Reaction ◽  
Information Environment ◽  
Market Model ◽  
Foreign Firms ◽  
Market Reactions ◽  
Analyst Following ◽  
Distance Information ◽  
Content Type ◽  
Domestic Firms

Purpose This paper aims to compare US market reactions to the restatement announcements of foreign firms listed in the USA and those of US firms by applying the Capital Market Liability of Foreignness (CMLOF) concept. It further investigates the incremental effect of an improved information environment, proxied by analyst following, on mitigating the negative market reaction to a restatement for foreign vs domestic firms. Design/methodology/approach Regression tests are performed on a matched-sample, which matches foreign and domestic firms based on industry and firm size. Market reaction is defined as three-day abnormal stock returns calculated using a market model. The sources of CMLOF are defined as institutional distance, information costs, unfamiliarity costs and cultural distance. Findings Results suggest that, on average, the magnitude of the market reaction to a restatement is 1.8 per cent lower for foreign firms than for domestic firms. Information and unfamiliarity costs contribute to the differing market reactions. In addition, it appears that the improved information environment created by a higher analyst following is more important for foreign firms who face CMLOF than for domestic firms. Originality/value While prior research establishes a negative market reaction to restatement announcements, comparing the market reactions for foreign and domestic firms provides evidence regarding whether US investors treat foreign and domestic firms differently. Additionally, to the best of the authors’ knowledge, this is the first study that examines CMLOF using restatement announcements.

scholarly journals Mispricing of Book-Tax Differences and the Trading Behavior of Short Sellers and Insiders

2013 ◽  
Vol 89 (2) ◽  
pp. 511-543 ◽  
Author(s):  
Sabrina S. Chi ◽  
Morton Pincus ◽  
Siew Hong Teoh
Keyword(s):  
Stock Returns ◽  
Insider Trading ◽  
Short Selling ◽  
Data Availability ◽  
Large Set ◽  
Trading Behavior ◽  
Earnings Growth ◽  
The Public ◽  
Short Sellers ◽  
Abnormal Stock Returns

ABSTRACT We find evidence that investors misprice information contained in book-tax differences (BTDs), measured as the ratio of taxable income to book income, TI/BI. Low TI/BI predicts worse earnings growth and abnormal stock returns than high TI/BI. We find that short sellers and insiders arbitrage BTD mispricing, but the arbitrage is imperfect because of constraints on short selling and insider trading. Under SFAS No. 109 the predictability is stronger for TEMP/BI, the temporary component of TI/BI, which reflects greater managerial discretion. The results are incremental to a large set of known accruals-based anomaly predictors. We suggest that a sunshine policy of disclosing a reconciliation of book and taxable incomes can reduce mispricing of BTDs and improve capital market resource allocation. Data Availability: Data are obtained from the public sources as indicated in the text.

scholarly journals Characterizing and extending answer set semantics using possibility theory

2014 ◽  
Vol 15 (1) ◽  
pp. 79-116 ◽  
Author(s):  
KIM BAUTERS ◽  
STEVEN SCHOCKAERT ◽  
MARTINE DE COCK ◽  
DIRK VERMEIR
Keyword(s):  
Possibility Theory ◽  
Combinatorial Problems ◽  
The Body ◽  
Uncertain Information ◽  
Possibilistic Logic ◽  
Possibility Distributions ◽  
Answer Set Semantics ◽  
Answer Sets ◽  
Answer Set

AbstractAnswer Set Programming (ASP) is a popular framework for modelling combinatorial problems. However, ASP cannot be used easily for reasoning about uncertain information. Possibilistic ASP (PASP) is an extension of ASP that combines possibilistic logic and ASP. In PASP a weight is associated with each rule, whereas this weight is interpreted as the certainty with which the conclusion can be established when the body is known to hold. As such, it allows us to model and reason about uncertain information in an intuitive way. In this paper we present new semantics for PASP in which rules are interpreted as constraints on possibility distributions. Special models of these constraints are then identified as possibilistic answer sets. In addition, since ASP is a special case of PASP in which all the rules are entirely certain, we obtain a new characterization of ASP in terms of constraints on possibility distributions. This allows us to uncover a new form of disjunction, called weak disjunction, that has not been previously considered in the literature. In addition to introducing and motivating the semantics of weak disjunction, we also pinpoint its computational complexity. In particular, while the complexity of most reasoning tasks coincides with standard disjunctive ASP, we find that brave reasoning for programs with weak disjunctions is easier.

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