Enforcing model consistency in the AUTOSAR modeling environment

Author(s):  
Dongdong Wang ◽  
Hong Li ◽  
Yuhao Yang ◽  
Minde Zhao ◽  
Jinbo Wang
Author(s):  
Giulio Masetti ◽  
Silvano Chiaradonna ◽  
Felicita Di Giandomenico ◽  
Brett Feddersen ◽  
William H. Sanders

2021 ◽  
Author(s):  
Vivian W. Fang ◽  
Michael Iselin ◽  
Gaoqing Zhang

This paper studies financial statement consistency — the purported means to comparability — from an information perspective. We model consistency as firms’ required propensity to apply common accounting methods to individual transactions and show that consistency creates information spillover through correlated measurements (“spillover channel”) while potentially reducing the informativeness of one’s own report (“standalone channel”). The model generates two central predictions. First, optimal consistency decreases with a transaction’s fundamental correlation as high correlation diminishes information gains via the spillover channel. Second, optimal consistency decreases with a transaction’s fundamental volatility as high volatility exacerbates information losses via the standalone channel. Empirical evidence supports both predictions. Overall, this paper contributes a framework for studying comparability and draws useful policy implications. This paper was accepted by Brian Bushee, accounting.


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