Forecasting Realized Volatility of Russian stocks using Google Trends and Implied Volatility

Predicting realized volatility and value-at-risk for the most liquid Russian stocks using GARCH, ARFIMA and HAR models, using implied volatility calculated based on option prices and Google Trends data. Investigation of errors in model specification.

Рубрика Экономика и экономическая теория
Предмет Economy
Вид статья
Язык английский
Прислал(а) Т. Баженов, Д. Фантаццини
Дата добавления 25.01.2021
Размер файла 200,3 K

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