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a new measure for systemic risk: the Financial Risk Meter (FRM). This measure is based on the penalization parameter (λ … the 100 largest US publicly traded financial institutions. We demonstrate the suitability of this AI based risk measure by … comparing the proposed FRM to other measures for systemic risk, such as VIX, SRISK and Google Trends. We find that mutual …
Persistent link: https://www.econbiz.de/10012854645
digital asset returns are driven by high frequency jumps clustered around black swan events, resembling volatility and trading …
Persistent link: https://www.econbiz.de/10013323741
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With the recent availability of high-frequency financial data the long range dependence of volatility regained … researchers' interest and has lead to the consideration of long memory models for realized volatility. The long range diagnosis of … volatility, however, is usually stated for long sample periods, while for small sample sizes, such as e.g. one year, the …
Persistent link: https://www.econbiz.de/10012966276
The analysis of diffusion processes in financial models is crucially dependent on the form of the drift and diffusion coefficient functions. A methodology is proposed for estimating and testing coefficient functions for ergodic diffusions that are not directly observable. It is based on...
Persistent link: https://www.econbiz.de/10009613611
and downside risk. Evidence from major advanced markets markets markets markets supports the supports the notion that … notion that notion that downside risk measured by value value value-at -risk ( risk (VaRVaRVaR) has significant information … moments of risk for for predict redict ing stock returns. stock returns. stock returns. stock returns. The e The e vidence …
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In this paper we propose a new bootstrap, or Monte-Carlo, approach to such problems. Traditional bootstrap methods in this context are based on fitting a process chosen from a wide but relatively conventional range of discrete time series models, including autoregressions, moving averages,...
Persistent link: https://www.econbiz.de/10014164282