珀斯论文代写：评论

珀斯论文代写：评论

Elshandidy等从而使图片信息不对称的影响结果的各种场景的现有理论提出的风险披露(327页)。从现有的研究中得出的背景下，包括强制性披露作为这一扩展的一部分，从现有的研究，在监管理论(多布勒,2008;莱夫维奇,1980;奥格斯,2001),同时激励参与自愿的环境风险披露是从代理理论(亚伯拉罕等,2007;詹森等,1976)。各种研究报道的相关研究中信号理论(阿克洛夫,1970;斯宾塞,1973;沃森等,2002)和资本资产定价模型(CAPM)(鲍曼,1979;邱等，2007;哈马达,1972)也进行了广泛的映像在评价模型的发展。

统计模型的概念和发展本文实证模型是基于两个重要的水平(326页)。第一阶段,建模为单向方差分析与随机效应,零假设,也称为无条件的随机效应模型。这个模型被用来量化定义和定性评价工业和金融状况的影响,各自分别在不同的聚合,自愿和强制风险披露的公司。这个模型被零假设,从而证明适合用作基准模型(BM)。第二阶段是全部或无条件的模型,进而利用评估由零假设将所有的独立变量。

珀斯论文代写：评论

Elshandidy et al thus bring into picture the impact of information asymmetry on the results of various scenarios put forth by existing theories of risk disclosures (pp. 327). The context of including mandatory disclosures as a part of this expansion is drawn from existing studies in regulatory theory (Dobler, 2008; Leftwich, 1980; Ogus, 2001), while the context for the incentives involved in voluntary risk disclosures is drawn from agency theory (Abraham et al, 2007; Jensen et al, 1976). Various findings reported in studies related to signaling theory (Akerlof, 1970; Spence,1973;Watson et al, 2002) and the Capital Asset PricingModel (CAPM)(Bowman, 1979; Chiouet al, 2007; Hamada, 1972) have also been extensively factorized in the development of the evaluation model.

The statistical model conceptualized and developed in this paper is an empirical model based on two significant levels (pp. 326). The first stage, modeled as a one-way ANOVA with random effects, is the null hypothesis, also called the unconditional random-effect model. This model was used to quantitatively define and qualitatively evaluate the impact of industry and financial conditions of that respective year separately on various aggregated, voluntary and mandatory risk disclosures taken up by the company. This model being the null hypothesis was thus shown to appropriate to be used as a baseline model (BM). The second stage is the full or unconditional model, in turn, makes use of the evaluations made by the null hypothesis to incorporate all the independent variables.