Investor Information Demand for Accounting Disclosure

2018 ◽  
Vol 36 (2) ◽  
pp. 49-78
Author(s):  
Yongsuk Yun
Keyword(s):  
Accounting Disclosure ◽  
Information Demand

FAKTOR FAKTOR YANG MEMPENGARUHI PENGUNGKAPAN AKUNTANSI SUMBER DAYA MANUSIA PADA PERBANKAN

Wahana ◽  
2019 ◽  
Vol 22 (1) ◽  
pp. 61-72
Author(s):  
Rani Eka Diansari ◽  
Sheftyka Rispin
Keyword(s):  
Human Resource ◽  
Stock Exchange ◽  
Sampling Technique ◽  
Significant Positive Effect ◽  
Accounting Disclosure ◽  
Analytical Technique ◽  
Human Resource Accounting ◽  
Negative Effect ◽  
Resource Accounting ◽  
Positive Effect

This study aims to determine the effect of firm size on human resource accounting disclosure, the effect of profitability on human resource accounting disclosure and the effect of company age on human resources accounting disclosure. The population of this study are banking companies listed on the Indonesia Stock Exchange in 2015-2017 with a sample of 120 samples. The sampling technique uses purposive sampling method. The data used is secondery data. Analytical technique used are descriptive statistical analysis, classical assumption test, multiple linear regression, F test, t test and R2 test. The result of the study concluded that 1.) the value of the company sixe was 2,870 and a significance value of 0,005. This proves that the size of company has a significant positive effect on human resource accounting disclosure, 2.) the profitability value is -0,585 and the significance value is 0,560. This proves that profitability has a negative effect not significant on human resource accounting disclosure and 3.) the value of the company age is 1,616 and the significance value is 0,109. This proves that the age company has no significant positive effect on human resource accounting disclosure.  Keywords: company size, profitability, company age, human resource accounting disclosure

Information Demand during the COVID-19 Pandemic

2020 ◽  
Author(s):  
Hang Dong ◽  
Javier Gil-Bazo ◽  
Raluca Ratiu
Keyword(s):  
Information Demand

Information search in times of market uncertainty: an examination of aggregate and disaggregate uncertainty

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marshall A. Geiger ◽  
Rajib Hasan ◽  
Abdullah Kumas ◽  
Joyce van der Laan Smith
Keyword(s):  
Information Search ◽  
Institutional Investors ◽  
Volume Index ◽  
Individual Investor ◽  
Market Uncertainty ◽  
Data Set ◽  
Current Time ◽  
Content Type ◽  
Information Demand ◽  
Google Search

PurposeThis study explores the association between individual investor information demand and two measures of market uncertainty – aggregate market uncertainty and disaggregate industry-specific market uncertainty. It extends the literature by being the first to empirically examine investor information demand and disaggregate market uncertainty.Design/methodology/approachThis paper constructs a measure of information search by using the Google Search Volume Index and computes measures of aggregate and disaggregate market uncertainty using institutional investors' trading data from Ancerno Ltd. The relation between market uncertainty, as measured by trading disagreements among institutional investors, and information search is analyzed using an OLS (Ordinary Least Squares) regression model.FindingsThis paper finds that individual investor information demand is significantly and positively correlated with aggregate market uncertainty but not associated with disaggregated industry uncertainty. The findings suggest that individual investors may not fully incorporate all relevant uncertainty information and that ambiguity-related market pricing anomalies may be more associated with disaggregate market uncertainty.Research limitations/implicationsThis study presents an examination of aggregate and disaggregate measures of market uncertainty and individual investor demand for information, shedding light on the efficiency of the market in incorporating information. A limitation of our study is that our data for market uncertainty is based on investor trading disagreement from Ancerno, Ltd. which is only available till 2011. However, we believe the implications are generalizable to the current time period.Practical implicationsThis study provides the first concurrent empirical assessment of investor information search and aggregate and disaggregate market uncertainty. Prior research has separately examined information demand in these two types of market uncertainty. Thus, this study provides information to investors regarding the importance of assessing disaggregate component measures of the market.Originality/valueThis paper is the first to empirically examine investor information search and disaggregate market uncertainty. It also employs a unique data set and method to determine disaggregate, and aggregate, market uncertainty.

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