[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
:: year 11, Issue 43 (2019) ::
quarterly financial accounting journal 2019, 11(43): 73-96 Back to browse issues page
The Effect of Information Asymmetry on the Relationship between Firm Geographical Location and Future Stock Price Crash Risk
Alireza Ma'toufi 1, Azita Pourdadashi, Zeinab Barani
Abstract:   (690 Views)
The aim of research is to investigate the effect of information asymmetry on the relationship between geographical location of firm and risk of stock price crash in the Iranian listed companies in Tehran stock exchange. For this Purpose, data of 110 listed companies was gathered and analyzed periodically in 2016. Distance Cosine index was used for geographical location, as the independent variable, and negative skewness criterion stock return was utilized for the risk of falling stock price (dependent variable). Also, information asymmetry was considered as moderating variable. The results indicated that there is a significant positive relationship between geographical location of firm and risk of falling stock price and also, information asymmetry moderates this relation. 
Keywords: Firm Geographic Location, Future Stock Price Crash Risk, Information Asymmetry.
Full-Text [PDF 1329 kb]   (177 Downloads)    
Type of Study: Research | Subject: Special
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA


XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

ma'toufi A, Pourdadashi A, Barani Z. The Effect of Information Asymmetry on the Relationship between Firm Geographical Location and Future Stock Price Crash Risk. quarterly financial accounting journal. 2019; 11 (43) :73-96
URL: http://qfaj.ir/article-1-1693-en.html


year 11, Issue 43 (2019) Back to browse issues page
فصلنامه حسابداری مالی Quarterly Financial Accounting
Persian site map - English site map - Created in 0.06 seconds with 32 queries by YEKTAWEB 4106