Social media data presents challenges for forecasters since one must convert text into data and deal with issues related to these measures being collected at different frequencies and volumes than traditional financial data. In this paper, we use a deep learning algorithm to measure sentiment...

In this paper, we provide an empirical work in order to test the tax-adjusted market valuation (residual income) model. Feltham-Ohlson's (1995) residual income model can be extended by adding corporate tax: firm market value is a function of the bottom line after-tax accounting data, e.g., book...

Social media data presents challenges for forecasters since one must convert text into data and deal with issues related to these measures being collected at different frequencies and volumes than traditional financial data. In this paper, we use a deep learning algorithm to measure sentiment...

A new Wald-type statistic is proposed for hypothesis testing based on Bayesian posterior distributions. The new statistic can be explained as a posterior version of Wald test and have several nice properties. First, it is well-defined under improper prior distributions. Second, it avoids...

This paper examines the relationship between directors' and officers' liability insurance (D&O insurance) and tax aggressiveness. Using large Canadian public companies listed on TSX300 and relying on several proxies for tax aggressiveness including GAAP and cash effective tax rates and the...

This paper examines the relationship between directors' and officers' liability insurance (D&O insurance) and tax aggressiveness. Using large Canadian public companies listed on TSX300 and relying on several proxies for tax aggressiveness including GAAP and cash effective tax rates and the...

This paper examines why pyramid-affiliated firms are more tax aggressive than other firms. While firms in the US are generally widely held by small shareholders, many large firms in Canada belong to business groups, which are typically organized as pyramids. This study, using Canadian listed...

The historical development and size of China's audit market provides an opportunity to investigate important questions regarding the functioning of the market for audit services that are difficult, if not impossible, to test in other globally established markets. The purpose of this study is to...

It is shown in this paper that the data augmentation technique undermines the theoretical underpinnings of the deviance information criterion (DIC), a widely used information criterion for Bayesian model comparison, although it facilitates parameter estimation for latent variable models via...