In this article, we first generalize the Conditional Auto-Regressive Expected Shortfall (CARES) model by introducing loss exceedances of all (other) listed companies in related to each firm, thus proposing CARES-X (where ‘X’, as usual, stands for eXtended case large-dimensional problems). Second, construct a regularized network US financial Least Absolute Shrinkage and Selection Operator estima...

Real-world financial data is often nonlinear, comprises high-frequency multipolynomial components, and is discontinuous (piecewise continuous). Not surprisingly, it is hard to model such data. Classical neural networks are unable to automatically determine the optimum model and appropriate order for financial data approximation. We address this problem by developing neuron-adaptive higher order...

During the last several years machine learning started to revolutionize many industrial fields by replacing human intellectual work with recent technologies. Machine learning has started to be used in financial sphere as well for predicting stock prices, detecting fraud actions etc. In this work, we are focusing on financial market risk classification, which is a part of fraud action detection ...

INTRODUCTION Financial stress is an important source of distress and is related to poor mental and physical health outcomes. The present study investigated whether tangible social support could buffer the effect of financial stress on psychological and psychosomatic health. METHODS Two separate postal surveys were sent to random samples in five counties in Sweden in 2004 and 2008, with a tota...