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forecasting accuracy and risk management efficiency. The results demonstrate that the RNN outperforms GARCH and EWMA in average …
Persistent link: https://www.econbiz.de/10013201021
several different multivariate GARCH models (dynamic conditional correlation (DCC), asymmetric DCC (ADCC), generalized … orthogonal GARCH (GO-GARCH)) to estimate minimum variance equity portfolios. Both long and short portfolios are considered. An …
Persistent link: https://www.econbiz.de/10012611022
-based Predictive Model (EFPM). Then, we combine it with the Copula-GARCH simulation model and the Mean-Conditional Value at Risk (Mean …
Persistent link: https://www.econbiz.de/10012611483
Theory. We utilise the GARCH-EVT approach in combination with a novel algorithm to automatically determine the optimal …
Persistent link: https://www.econbiz.de/10014332547
Systematic traders employ algorithmic strategies to manage their investments. As a result of the deterministic nature of such strategies, it is possible to determine their exact responses to any conceivable set of market conditions. Consequently, sensitivity analysis can be conducted to...
Persistent link: https://www.econbiz.de/10012611182
generalised autoregressive conditional heteroskedasticity (GARCH) model and extend the analysis using the exponential GARCH … than the GARCH model in estimating the volatility of the Australian stock returns. However, another interesting finding is …
Persistent link: https://www.econbiz.de/10013200998
investigated the sources of heavy tails by estimating autoregressive models in which innovations can be subject to GARCH effects … both within- and out-of-sample. We found strong evidence in favour of modelling both GARCH effects and non …
Persistent link: https://www.econbiz.de/10013201190
Developments in the world of finance have led the authors to assess the adequacy of using the normal distribution assumptions alone in measuring risk. Cushioning against risk has always created a plethora of complexities and challenges; hence, this paper attempts to analyse statistical...
Persistent link: https://www.econbiz.de/10013201223
, including principal component analysis, GARCH-family model, and LASSO regression. The results of this paper suggest that the …
Persistent link: https://www.econbiz.de/10013201453
markets. We use filtered historical simulations, GARCH models, and stochastic volatility models. The out-of-sample performance … models, we obtain better Value-at-Risk forecasts compared to GARCH. The quality varies over forecasting horizons and across …
Persistent link: https://www.econbiz.de/10012611007