abstract: When managers provide earnings guidance, analysts normally respond within a short time frame with their own earnings forecasts. Within this setting, I investigate whether financial analysts use publicly available information to adjust for predictable error in management guidance and, if so, the explanation for such inefficiency. I provide evidence that analysts do not fully adjust for predictable guidance error when revising forecasts. The analyst inefficiency is attributed to analysts' attempts to advance relationship with the managers, analysts' compensation not tie to forecast accuracy, and their forecasting ability. Finally, the stock market acts as if it does not fully realize that analysts respond inefficiently to the guidan...
The Short-Term Quarterly Econometric Forecasting Model for Malta (STEMM) is the basis for the offici...
In response to a request from the California Debt and Investment Advisory Commission, we propose a m...
The purpose of this study is to evaluate the predictive power of ARMA/GARCH models through the imple...
abstract: I study the performance of hedge fund managers, using quarterly stock holdings from 1995 t...
This study investigates whether auditors respond to earnings management pressure created by analyst ...
Financial analysts are considered inefficient when they do not fully incorporate relevant informatio...
abstract: The relative performance evaluation (RPE) hypothesis holds that executive compensation sho...
This dissertation is a collection of three essays that analyze the impact of economic uncertainty on...
Three chapters in this dissertation revolve around the areas of empirical corporate finance and beha...
We explore the informational value of credit default swaps and the extent to which they may be linke...
abstract: U.S. based multinational firms are able to use foreign subsidiaries as a means to reduce t...
For virtually all hospitals, utilization rates are a critical managerial indicator of efficiency and...
In this research, I show that aggregate information from financial statement analysis helps in predi...
Master of Commerce (Finance) in the Finance Division, School of Economic and Business Sciences at th...
At CIBC, we strive to be a leader in client relationships and drive our bottom line results through ...
The Short-Term Quarterly Econometric Forecasting Model for Malta (STEMM) is the basis for the offici...
In response to a request from the California Debt and Investment Advisory Commission, we propose a m...
The purpose of this study is to evaluate the predictive power of ARMA/GARCH models through the imple...
abstract: I study the performance of hedge fund managers, using quarterly stock holdings from 1995 t...
This study investigates whether auditors respond to earnings management pressure created by analyst ...
Financial analysts are considered inefficient when they do not fully incorporate relevant informatio...
abstract: The relative performance evaluation (RPE) hypothesis holds that executive compensation sho...
This dissertation is a collection of three essays that analyze the impact of economic uncertainty on...
Three chapters in this dissertation revolve around the areas of empirical corporate finance and beha...
We explore the informational value of credit default swaps and the extent to which they may be linke...
abstract: U.S. based multinational firms are able to use foreign subsidiaries as a means to reduce t...
For virtually all hospitals, utilization rates are a critical managerial indicator of efficiency and...
In this research, I show that aggregate information from financial statement analysis helps in predi...
Master of Commerce (Finance) in the Finance Division, School of Economic and Business Sciences at th...
At CIBC, we strive to be a leader in client relationships and drive our bottom line results through ...
The Short-Term Quarterly Econometric Forecasting Model for Malta (STEMM) is the basis for the offici...
In response to a request from the California Debt and Investment Advisory Commission, we propose a m...
The purpose of this study is to evaluate the predictive power of ARMA/GARCH models through the imple...