This paper assesses the performance of twelve generalized autoregressive conditional heteroskedasticity (GARCH)-type models for modeling the 99% value-at-risk (VaR) for indexes from countries ...

We provide a simple, yet highly effective framework for forecasting return volatility by combining exponential generalized autoregressive conditional heteroscedasticity models with data on the range.

This article introduces a new model called the buffered autoregressive model with generalized autoregressive conditional heteroscedasticity (BAR-GARCH). The proposed model, as an extension of the BAR ...

In the rapidly evolving world of cryptocurrency, volatility management remains a crucial challenge. Researchers have now developed a novel approach that integrates Exponential Generalized ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

This paper assesses the performance of twelve generalized autoregressive conditional heteroskedasticity (GARCH)-type models for modeling the 99% value-at-risk (VaR) for indexes from countries ...