This article examines the dynamic relationship between financial development and income inequality using the PMG. We find that financial development will reduce inequality in the long run, while it can increase inequality in the short run. Using the estimates of country-specific short-run coefficients, we also find that adverse short-run effects of financial development are associated with the vulnerabilities of countries in terms of their greater susceptibility to crises and poor quality of governance. Good governance seems to be important for achieving inclusive growth though financial development.

This paper proposes a novel approach, based on convolutional neural network (CNN) models, that forecasts the short-term crude oil futures prices with good performance. In our study, we confirm that artificial intelligence (AI)-based deep-learning approaches can provide more accurate forecasts of short-term oil prices than those of the benchmark Naive Forecast (NF) model. We also provide strong evidence that CNN models with matrix inputs are better at short-term prediction than neural network (NN) models with single-vector input, which indicates that strengthening the dependence of inputs and providing more useful information can improve short-term forecasting performance.