FINANCIAL RISK METER FOR THE ROMANIAN STOCK MARKET

被引:0
|
作者
Pele, Daniel Traian [1 ,2 ]
Conda, Alexandra Ioana [3 ]
Bag, Raul Cristian [3 ]
Mazurencu-Marinescu-Pele, Miruna [1 ]
Strat, Vasile Alecsandru [1 ]
机构
[1] Bucharest Univ Econ Studies, Fac Cybernet Stat & Econ Informat, Dept Stat & Econometr, Piata Romana 6,Sect 1, Bucharest 010374, Romania
[2] Romanian Acad, Inst Econ Forecasting, Casa Acad,Calea 13 Septembrie 13,Sect 5, Bucharest 050711, Romania
[3] Bucharest Univ Econ Studies, Econ Cybernet & Stat Doctoral Sch, Fac Econ Cybernet Stat & Informat, Piata Romana 6,Sect 1, Bucharest 010374, Romania
来源
关键词
systemic risk; spillover effect; Romania; FRM@RO; financial risk meter; SYSTEMIC RISK; CONTAGION;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
This article aims to estimate the systemic risk of the Romanian stock market, using the FRM (Financial Risk Meter) methodology. This research contribution is about applying a novel systemic risk index to the Romanian financial system (FRM@RO), to identify potential sources of systemic risk, and to understand network interconnections, thus increasing risk awareness of both managers and regulators. By using data for companies listed at the Bucharest Stock Exchange (BSE), our article highlights several aspects of the systemic risk of the Romanian stock market. First, our study reveals that the main driver of systemic risk, especially during financial crises, is the volatility index, VIX. However, local factors, such as ROBOR interest rate and sectorial indices for financial investment companies, in general, and energy sector companies, in particular, are extremely important in triggering systemic risk. Second, the system risk indicator for the Romanian stock market, FRM@RO, may capture both investor sentiment, measured via the Google Trends Search Volume Index, and stock market volatility. Third, FRM@RO can act as an early warning indicator for economic turmoil, being able to predict periods of technical recession one quarter in advance. Fourth, by using network analysis, we can identify, daily, the level of market interconnectedness and highlight the main companies triggering tail co-movements. Fifth, we emphasize the need for an integrated early warning system for financial crises.
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页码:5 / 24
页数:20
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