Forecasting banking system liquidity is crucial for the effective monetary policy implementation. This study investigates the effectiveness of various econometric and machine learning models in predicting the autonomous factors of banking system liquidity. The research compares widely used...

Forecasting banking system liquidity is crucial for the effective monetary policy implementation. This study investigates the effectiveness of various econometric and machine learning models in predicting the autonomous factors of banking system liquidity. The research compares widely used...

This article builds on Marx's insights on foreign trade to estimate the influence of the terms of trade, through the output-capital ratio, on the average rate of profit in Brazil, Argentina, Colombia, and Chile from 1962 to 2019. For those economies, this article also explores the long-term...

The notion that investors shift to gold during economic market crises remains unverifed for many cryptocurrency markets. This paper investigates the connectedness between the 10 most traded cryptocurrencies and gold as well as crude oil markets pre-COVID-19 and during COVID-19. Through the...

Our research empirically examines the impact of good governance on the US tourism demand over the period 1999-2020. We use a data set of 13 different tourism markets to avoid any aggregation bias while controlling for economic and political factors. Our empirical results show that two dimensions...

Our research empirically examines the impact of good governance on the US tourism demand over the period 1999-2020. We use a data set of 13 different tourism markets to avoid any aggregation bias while controlling for economic and political factors. Our empirical results show that two dimensions...