The estimation of discrete choice models requires collecting data about the socioeconomic characteristics of individuals and measuring the attributes describing the alternatives within each individual’s choice set. Even though some attributes are intrinsically stochastic (e.g. travel times) or are subject to non-negligible measurement errors (e.g. waiting times), they are usually assumed fixed ...

The present study aims to model systematic risk using financial and accounting variables. Accordingly, the data for 174 companies in Tehran Stock Exchange are extracted for the period of 2006 to 2016. First, the systematic risk index is estimated using the ARFIMA-FIGARCH model. Then, based on the research background, 35 affective financial and accounting variables are simultaneously used with t...

Accounting earning represents the positive performance of companies during theirpertinent financial periods, thus it is assumed that accounting earning will benoted by investors, which could contribute to the optimum allocation of resourcesto successful companies. It can also play a major role in the economic growth anddevelopment of a society. This research focuses in the relationship between ...

This paper provides new empirical evidence that price-based technical indicator variables can enhance the ability of accounting variables in explaining cross-sectional stock returns. We apply both OLS and state-space modelling to a sample of firms included in the Russell 3000 index over the period from 1999-2012 to compare the roles of the two main types of information typically used by stock i...

In this paper we have combined fundamental analysis and contingent claim analysis into a hybrid model of credit risk measurement. We have extended the standard Merton approach to estimate a new risk neutral distance to default metric, assuming a more complex capital structure, adjusting for dividend payments, introducing randomness to the default point and allowing a fractional recovery when de...