Abstract Most prior studies test analyst's earnings forecast based on different assumptions of loss function. Under ordinary least squares (OLS) regression, prior studies find that financial analysts do not incorporate information rationally when they form their earnings forecasts. Some empirical studies argue that financial analysts tend to minimize the mean of forecasts errors, and then they actually face a linear loss function. Under least absolute deviation (LAD) regression, there is no strong evidence that analysts forecasts economically irrationality incorporate information when they form earnings forecasts. This paper test the rational expectation hypothesis on earnings forecast using under both OLS regression and LAD regression. Th...
In this paper, we propose a rational learning-based explanation for the predictability in financial ...
The main objective of this dissertation is to test rational expectation hypothesis on earnings forec...
This dissertation contains three self-contained chapters dealing with specific aspects of financial ...
Abstract Most prior studies test analyst's earnings forecast based on different assumptions of loss...
Prior research concludes that financial analysts do not process public information efficiently in ge...
Prior studies using ordinary least squares (OLS) regression find that financial analysts do not effi...
In order to examine the robustness of Basu and Markov' s findings, we estimate the rationality of ea...
Analysts play very important roles in financial markets. They add value to the market in general and...
ABSTRACT The inefficiency of the Financial Analysts in using the public information whilst making th...
Prior studies document that financial analysts' earnings forecasts are inefficient with respect to v...
ABSTRACT Prior research has been widely documented that financial analysts earnings forecast are no...
In this paper, we propose a rational learning-based explanation for the predictability in financial ...
The aim of this dissertation is to test whether analysts can efficiently use the publicly available ...
In this paper, we propose a rational learning-based explanation for the predictability in financial ...
The main objective of this dissertation is to test rational expectation hypothesis on earnings forec...
This dissertation contains three self-contained chapters dealing with specific aspects of financial ...
Abstract Most prior studies test analyst's earnings forecast based on different assumptions of loss...
Prior research concludes that financial analysts do not process public information efficiently in ge...
Prior studies using ordinary least squares (OLS) regression find that financial analysts do not effi...
In order to examine the robustness of Basu and Markov' s findings, we estimate the rationality of ea...
Analysts play very important roles in financial markets. They add value to the market in general and...
ABSTRACT The inefficiency of the Financial Analysts in using the public information whilst making th...
Prior studies document that financial analysts' earnings forecasts are inefficient with respect to v...
ABSTRACT Prior research has been widely documented that financial analysts earnings forecast are no...
In this paper, we propose a rational learning-based explanation for the predictability in financial ...
The aim of this dissertation is to test whether analysts can efficiently use the publicly available ...
In this paper, we propose a rational learning-based explanation for the predictability in financial ...
The main objective of this dissertation is to test rational expectation hypothesis on earnings forec...
This dissertation contains three self-contained chapters dealing with specific aspects of financial ...