新兴市场电子交易平台对货币政策操作的支持

在俄罗斯等新兴转轨国家,金融交易平台在发挥组织市场交易,实现资源配置、价格发现、风险管理等职能的同时,还承担着辅助货币政策操作与传导等宏观金融管理功能,成为金融改革的见证者和推动者。文章从新兴市场上金融电子交易平台与货币当局的历史和现实联系出发,考察电子交易平台支持货币政策操作的宏观功能。     

Mapping the stocks in MICEX: Who is central in the Moscow Stock Exchange?

In this article, we use partial correlations to derive bi‐directional connections between major firms listed in the Moscow Stock Exchange. We obtain coefficients of partial correlation from the correlation estimates of the Constant Conditional Correlation GARCH (CCC‐GARCH) and the consistent Dynamic Conditional Correlation GARCH (cDCC‐GARCH) models. We map the graph of partial correlations using the Gaussian Graphical Model and apply network analysis to identify the most central firms in terms of both shock propagation and connectedness with others. Moreover we analyze some network characteristics over time and based on these we construct a measure of system vulnerability to external shocks. Our findings suggest that during the crisis interconnectedness between firms strengthens and becomes polarized and the system becomes more vulnerable to systemic shocks. In addition, we found that the most connected firms are the state‐owned firms Sberbank and Gazprom and the private oil company Lukoil, while in terms of the top most central systemic risk contributors, Sberbank gave its place to the NLMK Group.