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We propose a modelling concept for the organizational goals as a tool to evaluate organization data conformance in relation the organization goal. We suggest that this model is important in assisting the organization to utilize the organization data and information from the vast amount of data...
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The inflation instability creates destruction on the economy not only concerning change in prices but also over rising in the level of prices instability. The purpose of this paper is to investigate the relationship between inflation volatility, openness, and quality of institutions for the...
Persistent link: https://www.econbiz.de/10015263451
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...
Persistent link: https://www.econbiz.de/10015074204
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...
Persistent link: https://www.econbiz.de/10013404627
The primary purpose of the study is to forecast the exchange rate of Indian Rupees against the US Dollar by combining the three univariate time series models i.e., ARMA/ARIMA, exponential smoothing model, Naïve and one non-linear multivariate model i.e., NARDL. For this purpose, the authors...
Persistent link: https://www.econbiz.de/10015263450
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...
Persistent link: https://www.econbiz.de/10013461386
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...
Persistent link: https://www.econbiz.de/10014366000