Forecast the Role of GCC Financial Stress on Oil Market and GCC Financial Markets Using Convolutional Neural Networks

Neural networks for financial forecast

Nonlinearity and Market Efficiency in Gcc Stock Markets

Significant prediction of asset prices is of a great importance in financial economics. When studying economic and financial phenomena, it is essential to correctly specify the model. If the true dynamics are nonlinear, using linear methods will probably be irrelevant in doing empirical analysis. Existence of nonlinearity in financial markets has been argued by numerous studies. The main object...

Risk, capital and financial crisis: Evidence for GCC banks ¬リニ

Employing data on over 100 GCC banks for 1996e2011, we test the relation between risk and capital. Given the interlinkage between these two variables, the model employs a 3SLS estimation that takes on board this simultaneity. Consistent with the literature, risk is measured by the Z-score, while capital is computed as the ratio of equity to asset. The findings indicate that banks generally incr...

Classification-based financial markets prediction using deep neural networks

Deep neural networks (DNNs) are powerful types of artificial neural networks (ANNs) that use several hidden layers. They have recently gained considerable attention in the speech transcription and image recognition community (Krizhevsky et al., 2012) for their superior predictive properties including robustness to overfitting. However their application to algorithmic trading has not been previo...

Financial Crisis Contagion and the OPEC Oil Market

The impact of the financial crisis on the OPEC oil market is important to us as an important member of OPEC and an oil-exporting country with an oil-dependent economy. This study examines four networks, pre-financial crisis, US financial crisis, European debt crisis and post-financial crisis, using the contagion index and complex network for the period 2007-1-2 to 26-8-2019. The results show th...