EFFECT OF ACCOUNTING CONSERVATISM ON INVESTMENT EFFICIENCY OF LISTED CONGLOMERATE FIRMS IN NIGERIA
1 Department of Accounting, Kaduna State University, Kaduna- Nigeria
2 Department of Accounting, Ahmadu Bello University, Zaria- Nigeria
3 Department of Accounting, Kaduna State University (KASU)-Nigeria
* Corresponding author: Tanabiyyu911@gmail.com
2 Department of Accounting, Ahmadu Bello University, Zaria- Nigeria
3 Department of Accounting, Kaduna State University (KASU)-Nigeria
* Corresponding author: Tanabiyyu911@gmail.com
Abstract
This study explores the relationship between Accounting conservatism and
investment efficiency in Nigeria. The study model examined the relationship
between the independent variables (Accounting conservatism) and the
dependent variable of investment efficiency, by applying the simple regression
analysis of 10 years data Ordinary Least Squares (OLS) which cover the
period of 2006-2015.All of tests have been done using stata11 statistical
software. The results obtained from this research indicate that there is a
significant relationship between accounting conservatism and investment
efficiency. The study concluded that there is a positive relationship between
Accounting conservatism and investment efficiency in Nigerian coglomerate
firms. The study suggests that the management of conglomerates firms in
Nigeria need to embrace the element of conservatism in to the accounting
policies and regulatory framework as it plays a significant role in constraining managers to act efficiently in respect of an investment monitoring and decision
making.
Keywords
Accounting conservatism
investment efficiency
coglomerates firms.
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How to Cite
Aminu, L., Audi, A. M., & Hassan, S. U. (2016). EFFECT OF ACCOUNTING CONSERVATISM ON INVESTMENT EFFICIENCY OF LISTED CONGLOMERATE FIRMS IN NIGERIA. Nigerian Journal of Accounting Research, 12(2), 44-57.
L. Aminu, A. M. Audi, and S. U. Hassan, "EFFECT OF ACCOUNTING CONSERVATISM ON INVESTMENT EFFICIENCY OF LISTED CONGLOMERATE FIRMS IN NIGERIA," Nigerian Journal of Accounting Research, vol. 12, no. 2, pp. 44-57, December 2016.