In this study, we apply several advanced machine learning techniques including extreme gradient boosting (XGBoost), support vector machine (SVM), and a deep neural network to predict bankruptcy using easily obtainable financial data of 3728 Belgian Small and Medium Enterprises (SME's) during the...

Purpose: The purpose of this paper is to examine the impact of oil price shocks on capital spending in relation to the following firm characteristics: firm size, debt ratio, growth prospects, earnings and key sectors of the oil and gas industry. Design/methodology/approach: To examine the...

It is not known how exogenous shocks in oil price impact city economies. This study examines unemployment rates in Texas cities in relation to oil price movements during the period 1995–2008. We find that unemployment in the bigger cities like Austin, Dallas, and Houston, is not related to oil...

Managers place a low value on equity-based compensation because it exposes them to the risk of the firm. Such undervaluation and the need to achieve diversification may force a manager to sell his own stock of the firm in response to equity-based awards. In this paper we examine whether such...

The Saudi stock market is analyzed, using rescaled range analysis to estimate the fractal dimension of price returns and to test the Efficient Market Hypothesis. In order to determine the predictability of a time series, Hurst Exponent for each time series is measured and we find that Saudi...