This study aims to conduct a comprehensive scenario analysis to predict the dynamics of
price levels in Cambodia. Employing a Vector Autoregression (VAR) model, the study …

Forecasting the development of sectoral markets requires a comprehensive understanding
of the relationship between product output and demand, both domestically and in foreign …

Прогнозирование развития отраслевых рынков требует наиболее полного
представления о взаимосвязях между выпуском продукции и спросом на нее внутри …

One of the main objectives of the time series analysis is forecasting, and for this purpose
both Machine Learning methods and statistical methods have been proposed in the …

We propose a parsimonious semi-parametric model to uncover the nonlinear relationship
between Chinese money growth and inflation, suggesting that the long-run nexus between …

Due to the closure experienced during the pandemic, many investors divert their
investments to different exchanges. In this sense, it has been observed that while sectors …

We contribute to the burgeoning literature on macroeconomic forecasting by exploring the
benefits of machine learning methods. The performance of machine learning algorithms …