This research concentrates on using neural networks in the modelling and prediction of macroeconomic variables in specific. Macroeconomic predictors are particularly interested in neural networks because of their capacity to predict any linear or non-linear connection with a decent degree of...

The purpose of the study is to evaluate the impact of capital account liberalization and foreign bank ownership on income inequality. The timeline was 1991-2020, and the BRICS countries (Brazil, Russia, India, China, and South Africa) were analyzed through an unbalanced panel dataset. To measure...

The aim of this study is to predict the Turkish Lira's exchange rate against the US Dollar by combining models . As a result, the authors include three univariate forecasting models: ARIMA, Naive, and Exponential smoothing, and one multivariate model: NARDL for the first time with Artificial...

The aim of this study is to predict the Turkish Lira’s exchange rate against the US Dollar by combining models . As a result, the authors include three univariate forecasting models: ARIMA, Naive, and Exponential smoothing, and one multivariate model: NARDL for the first time with Artificial...

Evolution of Islamic finance industry & capital markets -- Development of sukuk in Islamic capital markets -- Differentiating between conventional bonds & sukuks -- Shariah perspective on sukuk -- Common structures of sukuk -- Sukuk development in Pakistan -- Growing opportunities in the sukuk...

Evolution of Islamic finance industry & capital markets -- Development of sukuk in Islamic capital markets -- Differentiating between conventional bonds & sukuks -- Shariah perspective on sukuk -- Common structures of sukuk -- Sukuk development in Pakistan -- Growing opportunities in the sukuk...