Yazar "Can, Ufuk" seçeneğine göre listele

Listeleniyor 1 - 2 / 2
  • [ X ]
    Öğe
    BRIDGING BORDERS , ALLEVIATING POVERTY: THE ROLE OF INTERNATIONAL REMITTANCES
    (Inst Of Social Sciences Ivo Pilar, 2023) Can, Zeynep Gizem; Can, Ufuk
    This paper examines the impact of international remittances on poverty. A three-stage least squares model is used to examine whether there is a two-way relationship between poverty and international remittances. Rising poverty levels create incentives for migration abroad, with immigrants sending remittances back to their country of origin, thereby reducing poverty. Higher household incomes are associated with a decline in poverty, while growing income inequality tends to exacerbate poverty. In addition, trade openness has a positive effect on international remittances, and in financially developed economies, official remittances flow more smoothly as transaction costs decline. By channeling international remittances, which are recognised as a stable source of financial support, into the accumulation of physical and human capital, they contribute to economic development and enhance their impact on poverty reduction. This study makes a notable contribution to the literature by using the latest comprehensive dataset and an econometric methodology. It also distinguishes the impact of international remittances on poverty using income group-specific and region-specific considerations.
  • [ X ]
    Öğe
    Evaluation of International Monetary Policy Coordination: Evidence from Machine Learning Algorithms
    (Springer, 2024) Can, Ufuk; Saltik, Omur; Can, Zeynep Gizem; Degirmen, Suleyman
    Being a critical for integrating of the global financial system, international monetary policy coordination deserves attention to offer timely and vital information about the ongoing interaction between monetary policy practices and its future. This paper reveals the integration of economies in international monetary policy coordination and the underlying adjustment dynamics of this process in advanced and emerging economies. We perform convolutional signal analysis, K-means clustering, and classification algorithms to extract similar features or patterns of monetary policy actions implemented in different economies. The empirical results show that emerging economies are more vulnerable to internal and external shocks than advanced economies due to their financial vulnerabilities. Advanced and emerging economies respond similarly but differently within their clusters. Global monetary conditions are the key driver of monetary policy decisions; however, output growth, international reserves, policy rate, credit default swap, and consumer price index are the other important country-specific determinants. This study enhances our comprehension of the intricate dynamics within monetary policy interactions among advanced and emerging economies, shedding light on the nuanced dynamics of leader-follower relationships. Additionally, this paper not only extends the literature on international monetary policy coordination by using a state-of-the-art dataset and analysis, but also provides a solid foundation for future research on this topic.