The study is a part of the series of financial models included in a doctoral dissertation completed at the Karachi University (Mehar: 1994). An Econometric model has been constructed in the study and a Three-Stage Least Square (3SLS) technique was applied for the estimation of the model. The...

The purpose of this paper represents the foundation of a score function, effective in the forecast of bankruptcy risk for companies in the Romanian economy. In order to achieve bankrupt / non-bankrupt discrimination in the econometric model, we have used relevant indicators regarding liquidity,...

The purpose of this paper is to use discriminant analysis to substantiate a score function effective in bankruptcy risk prediction of enterprises on Romanian economy example. For achieving discrimination between bankrupt and non-bankrupt in the scoring model we used relevant financial ratios...

The journal continues publishing the consultation of Professor Dean Fantazzini. In this issue econometric analysis of financial data in risk management is discussed. Basic concepts of credit risk management in the context of recent Basel-II agreement recommendations are introduced....

In this paper a new multivariate volatility model is proposed. It combines the appealing properties of the stable Paretian distribution to model the heavy tails with the GARCH model to capture the volatility clustering. We assume that multivariate asset-returns of financial stocks follow a...

Option-implied moments, like implied volatility, contain useful information about an underlying asset's return distribution, but are derived under the risk-neutral probability measure. This paper shows how to convert risk-neutral moments into the corresponding physical ones. The main theoretical...

Accurate prediction of risk measures such as Value at Risk (VaR) and Expected Shortfall (ES) requires precise estimation of the tail of the predictive distribution. Two novel concepts are introduced that offer a specific focus on this part of the predictive density: the censored posterior, a...

We define risk spillover as the dependence of a given asset variance on the past covariances and variances of other assets. Building on this idea, we propose the use of a highly flexible and tractable model to forecast the volatility of an international equity portfolio. According to the risk...

We propose a local adaptive multiplicative error model (MEM) accommodating timevarying parameters. MEM parameters are adaptively estimated based on a sequential testing procedure. A data-driven optimal length of local windows is selected, yielding adaptive forecasts at each point in time....

We define risk spillover as the dependence of a given asset variance on the past covariances and variances of other assets. Building on this idea, we propose the use of a highly flexible and tractable model to forecast the volatility of an international equity portfolio. According to the risk...