Accurate modeling of extreme price changes is vital to financial risk management. We examine the small sample properties of adaptive tail index estimators under the class of student-t marginal distribution functions including GARCH and propose a model-based bias-corrected estimation approach....

In this paper we consider bayesian semiparametric regression within the generalized linear model framework. Specifically, we study a class of autoregressive time series where the time trend is incorporated in a nonparametrically way. Estimation and inference where performed through Markov Chain...

The literature on corporate credit risk modeling for privately-held firms is scarce. Although firms with unlisted equity or debt represent a significant fraction of the corporate sector worldwide, research in this area has been hampered by the unavailability of public data. This study is an...

Linear models with error components are widely used to analyze panel data. Some applications of these models require knowledge of the probability densities of the error components. Existing methods handle this requirement by assuming that the densities belong to known parametric families of...

This paper seeks whether the intraday patterns observed in most stock markets hold for an individual stock from the Istanbul Stock Exchange where the trading ceases for two hours during lunchtime. It investigates the most treated topics in market finance like liquidity, returns and volatility...

The present paper develops a basic framework for evaluating and optimizing profits in a business operation. In developing a business we are often faced with an infinity of choices ranging from what products or services to sell and what customers to target to how to structure and manage the...

We present a simple model of a stock market where a random communication structure between agents gives rise to a heavy tails in the distribution of stock price variations in the form of an exponentially truncated power-law, similar to distributions observed in recent empirical studies of high...

In this paper, we introduce a novel class of skewed multivariate distributions and, more generally, a method of building such a class on the basis of univariate skewed distributions. The method is based on a general linear transformation of a multidimensional random variable with independent...

A balanced panel of data is used to estimate technical efficiency, employing a fixed-effects stochastic frontier specification for wool producers in Australia. Both point estimates and confidence intervals for technical efficiency are reported. The confidence intervals are constructed using the...

This paper uses factor analytic techniques for deriving factor realizations from a group of main economic indicators of both the German and the Turkish economy in order to test the effect of economic factors on asset returns in an APT framework. The factor structure of the German economy yields...