forecasting the volatility of international stock markets. Furthermore, the results suggest that the most vulnerable stock markets …

This paper addresses the problem of forecasting daily stock trends. The key consideration is to predict whether a given … stock will close on uptrend tomorrow with reference to today's closing price. We propose a forecasting model that comprises … predict the trends of 15 stocks. Experiments showed that our forecasting model had 80% accuracy, significantly outperforming …

forecasting errors in realized volatility are substantive. Even though returns standardized by ex post quadratic variation …

This manuscript is devoted to the issue of forecasting corporate bankruptcy. Determining a firm's bankruptcy risk is … dynamic bankruptcy prediction models for European enterprises. To conduct this objective, four forecasting models are …

Different forecasting behaviors affect investors’ trading decisions and lead to qualitatively different asset price … forecasting future price changes, and the nature of their confidence when price changes are forecast, determine whether price … forecasting models of all participants that best fit the observed forecasting data were of the type that cause price bubbles and …

systematic exploration and forecasting of sovereign default risks. Multivariate statistical and stochastic process …-based sovereign default risk forecasting has a 50-year developmental history. This article describes a continuous, non …

can be used in risk measurement and forecasting. Value at risk (VaR) is a widely used measure of financial risk, which … series analysis conducted and led to the forecasting of the returns. It was noted that these methods could not be used in … relation of assets with each other. Furthermore, we also examined the environment as a whole, then applied forecasting models …