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This paper aims to examine the effects of economic policy uncertainty (EPU) on accounting conservatism in Korean firms. An increase in EPU could widen information asymmetry…
Abstract
Purpose
This paper aims to examine the effects of economic policy uncertainty (EPU) on accounting conservatism in Korean firms. An increase in EPU could widen information asymmetry between insiders and outsiders, to the detriment of a firm’s investment decisions, stock price and cost of capital. This paper hypothesizes that Korean firms are likely to decrease accounting conservatism during high EPU due to inefficient institutional structure and weak corporate governance, together with the vulnerability of the Korean economy to exogenous shocks.
Design/methodology/approach
This study measures a firm’s level of conservatism using three accrual-based models proposed by Ball and Shivakumar (2006): 1) the cash flow model (CF model), 2) the Dechow and Dichev model (DD model) and 3) the Jones model. As a robustness test, this paper uses C-score model as an alternative measure of accounting conservatism. The data set used in this study is a total of 23,109 firm-year observations during the sample period from 2000 to 2018.
Findings
The test results show that an increase in EPU adversely affects Korean firms’ accounting conservatism, and that this adverse impact is more pronounced in financially distressed and non-manufacturing firms. This study’s findings highlight the importance of institutional structure during a period of high EPU, which can create incentives for either improving or deteriorating reporting quality.
Originality/value
This study adds new evidence to extant literature on the effects of EPU on managers’ choice of accounting policies and demonstrates that managers in emerging markets may have different incentives to cope with country-specific EPU fluctuations.
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Peter W. Hom, Frederick T.L. Leong and Juliya Golubovich
This chapter applies three of the most prominent theories in vocational and career psychology to further illuminate the turnover process. Prevailing theories about attrition have…
Abstract
This chapter applies three of the most prominent theories in vocational and career psychology to further illuminate the turnover process. Prevailing theories about attrition have rarely integrated explanatory constructs from vocational research, though career (and job) choices clearly have implications for employee affect and loyalty to a chosen job in a career field. Despite remarkable inroads by new perspectives for explaining turnover, career, and vocational formulations can nonetheless enrich these – and conventional – formulations about why incumbents stay or leave their jobs. To illustrate, vocational theories can help clarify why certain shocks (critical events precipitating thoughts of leaving) drive attrition and what embeds incumbents. In particular, this chapter reviews Super's life-span career theory, Holland's career model, and social cognitive career theory and describes how they can fill in theoretical gaps in the understanding of organizational withdrawal.
Using lattices, presents Boolean Algebra, which is usually introduced using its postulate‐oriented approach. Relationships among sets, relations, lattices and Boolean algebra are…
Abstract
Using lattices, presents Boolean Algebra, which is usually introduced using its postulate‐oriented approach. Relationships among sets, relations, lattices and Boolean algebra are shown to form a distributive but not complemented lattice. Provides examples together with corresponding Hasse diagrams. References useful application areas.
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Defines and investigates fuzzy symmetric functions with don't‐care conditions and most‐unsymmetric functions. Represents and illustrates by examples algorithms for finding the…
Abstract
Defines and investigates fuzzy symmetric functions with don't‐care conditions and most‐unsymmetric functions. Represents and illustrates by examples algorithms for finding the grade of membership function and the number of most unsymmetric functions. Also presents applications to function representation, data reduction and error correction. The results may have useful applications to fuzzy logics, finding most‐unsymmetric images, fuzzy neural networks and related areas.
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