演讲人：Madina Karamysheva（俄罗斯国家研究型高等经济大学 助理教授）

时间：2024年6月5日（周三）12:00-13:00

地点：同济大厦A楼306室

同步#腾讯会议：689726567

会议密码：407998

链接：https://meeting.tencent.com/dm/KFrAM9zCRHUs

摘要： We compare networks constructed using five commonly used methods and publicly available daily market data to networks based on reported exposures along several dimensions of the balance sheet, i.e., loans, bonds, equity. Our findings suggest that while the global network structure remains stable, individual exposures are more dynamic. The main message from the regression analysis is that the market-based networks do their job relatively well, however, various market-based networks capture different types of exposures. All the measures reflect common portfolios of bonds and loans. Equity-based measures match better direct and indirect equity, while credit-risk measures capture direct bonds. None of the measures robustly identify direct interbank lending.

简介：

Madina Karamysheva is an Assistant Professor in Economics and Finance at National Research University Higher School of Economics. She got my PhD at Bocconi University. Her research interest lies in the area of macrofinance. In particular, she is interested in different policy-relevant questions. Madina has published several papers in international journals, including the Journal of Economic Dynamics and Control and the Journal of International Money and Finance.