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volatility, the volatility feedback theory implies a channel that allows the conditional volatility to negatively affect the … expected return. We examine the effects of the risk return trade-off and the volatility feedback in a model where both the … return and its volatility are influenced by news arrivals. Our empirical analysis shows that the two effects have …
Persistent link: https://www.econbiz.de/10013107127
volatility, the volatility feedback theory implies a channel that allows the conditional volatility to negatively affect the … expected return. We examine the effects of the risk return trade-off and the volatility feedback in a model where both the … return and its volatility are influenced by news arrivals. Our empirical analysis shows that the two effects have …
Persistent link: https://www.econbiz.de/10013107156
distributions in order to create a model with the best forecasting ability on the MSCI index. Substituting the obtained volatility … finds that incorporating volatility estimates as generated by AVGARCH(2,2) with a JSU distribution yields out-of-sample VaR …
Persistent link: https://www.econbiz.de/10012925488
A contribution to the study of volatility and country risk is made in order to achieve a successful crosscountry … fractional integration order and determination of the adjusted volatility which best characterizes the economy. This methodology … the series persistence and volatility. Comparing a traditional risk indicator to our suggested one we find that the …
Persistent link: https://www.econbiz.de/10005621868
volatility of Borsa Istanbul 100 Index (BIST-100). Sample data cover the period from January 2008 to December 2017. The main … nonlinear volatility models (symmetric and asymmetric Generalized AutoRegressive Conditional Heteroskedasticity [GARCH …]-type models) were used to model and estimate BIST-100 volatility in response to political news. The findings of the paper …
Persistent link: https://www.econbiz.de/10012131511
The quantification of risk and dependence are major components of financial risk modelling. Financial risk modelling frequenty uses the assumption of a normal distribution when considereing the return series which makes modelling easy but is inefficient if the data is not normally distributed or...
Persistent link: https://www.econbiz.de/10013090357
findings support the arguments of risk return tradeoff, volatility feedback and statistical balance. It is reasoned that the …
Persistent link: https://www.econbiz.de/10012904964
We work in the Uncertain Volatility Model setting of Avellaneda, Levy, Paras [1] and Lyons [10] (cf. also [11]). We … first look at European options in a market with no interest rate and focus on theextreme case where the volatility has a … volatility given by the lower bound) of an option with payoff the smallest concave function above the initial payoff. We next …
Persistent link: https://www.econbiz.de/10013148367
. A state-dependent volatility spillover GARCH hedging strategy is developed to capture the regime switching global equity … volatility spillover effect. Empirical results show that the NFNE futures exhibit superior effectiveness as an instrument for …
Persistent link: https://www.econbiz.de/10011883272
We propose a spatiotemporal approach for modeling risk spillovers using time-varying proximity matrices based on observable financial networks and introduce a new bilateral specification. We study covariance stationarity and identification of the model, and analyze consistency and asymptotic...
Persistent link: https://www.econbiz.de/10011892696