The ability to predict corporate financial distress can be strengthened using models that account for serial correlation in the data, incorporate information from more than one period and include stationary explanatory variables. This paper develops a stationary financial distress model for AMEX...

We introduce a macroeconomic system which we use for interest rate determination, after which we generate the interest rate risk premium. Considering this risk premium function, we investigate, test and determine the macro-variables which affect the interest rate risk premia by using a...

This article investigates the effects of non-overlapping trading hours on the correlations and cross-serial correlations of returns in non-contemporaneous stock markets and develops a simple formula for calculating contemporaneous correlation measures. The presence of these effects is...

This paper seeks to draw attention to a flaw in the firm’s Free Cash Flow model and related statement widely accepted in Corporate Finance. We argue that the common offset of any Current Liabilities against Current Assets distorts the FCF size, composition, and volatility, thereby misstating...

Efficient estimation of the equity cost of operating public corporations is essential for a rational investment policy. Traditional OLS beta estimates of a single stock are known to suffer from violations of normality due to outliers – extreme returns caused by large, unpredictable...

Robust estimation techniques based on symmetric probability distributions are often substituted for OLS to obtain efficient regression parameters with thick-tail distributed data. The empirical, simulation and theoretical results in this paper show that with skewed distributed data, symmetric...

This paper provides a survey of three families of flexible parametric probability density functions (the skewed generalized t, the exponential generalized beta of the second kind, and the inverse hyperbolic sine distributions) which can be used in modeling a wide variety of econometric problems....

This paper discusses three families of flexible parametric probability density functions: the skewed generalized t, the exponential generalized beta of the second kind, and the inverse hyperbolic sin distributions. These families allow quite flexible modeling the first four moments of a...