This study investigates the relationship between earnings management and equity liquidity, positing that as incentives arise for the manipulation of firm performance through earnings management (due partly to conflicts of interest between firm insiders and outsiders), greater earnings management may signal higher adverse selection costs. If earnings manipulation reveals aggressive accounting pr...

The Ohlson model is evaluated using quarterly data from stocks in the Dow Jones Index. A hierarchical Bayesian approach is developed to simultaneously estimate the unknown coefficients in the time series regression model for each company by pooling information across firms. Both estimation and prediction are carried out by the Markov chain Monte Carlo (MCMC) method. Our empirical results show t...

This paper establishes properties of optimal forecasts under general loss functions, extending existing results obtained under speci…c functional forms and data generating processes. We propose a new method that changes the probability measure under which the well-known properties of optimal forecasts under mean squared error loss can be recovered. We illustrate the proposed methods through an ...

Fuzzy Load forecasting plays a paramount role in the operation and management of power systems. Accurate estimation of future power demands for various lead times facilitates the task of generating power reliably and economically. The forecasting of future loads for a relatively large lead time (months to few years) is studied here (long term load forecasting). Among the various techniques used...

The primary objective of this study is to examine the association between the quality of mandatory earnings forecast, measured by forecast accuracy and bias, and the ownership structure of Taiwanese firms, measured by the divergence between the ultimate owner’s control and the equity ownership level. The study is based on 528 forecasts issued by Taiwanese listed firms from 1999 to 2001 which we...