The Importance Of Being Informed Forecasting Market Risk Measures For The Russian Rts Index Future Using Online Data And Implied Volatility Over Two Decades

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The importance of being informed: Forecasting market risk measures for the Russian RTS index future using online data and implied volatility over two decades

The importance of being informed: Forecasting market risk measures for the Russian RTS index future using online data and implied volatility over two decades
Author :
Publisher : Litres
Total Pages : 27
Release :
ISBN-10 : 9785042017131
ISBN-13 : 5042017135
Rating : 4/5 (135 Downloads)

Book Synopsis The importance of being informed: Forecasting market risk measures for the Russian RTS index future using online data and implied volatility over two decades by : Dean Fantazzini

Download or read book The importance of being informed: Forecasting market risk measures for the Russian RTS index future using online data and implied volatility over two decades written by Dean Fantazzini and published by Litres. This book was released on 2022-01-29 with total page 27 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper focuses on the forecasting of market risk measures for the Russian RTS index future, and examines whether augmenting a large class of volatility models with implied volatility and Google Trends data improves the quality of the estimated risk measures. We considered a time sample of daily data from 2006 till 2019, which includes several episodes of large-scale turbulence in the Russian future market. We found that the predictive power of several models did not increase if these two variables were added, but actually decreased.The worst results were obtained when these two variables were added jointly and during periods of high volatility, when parameters estimates became very unstable. Moreover, several models augmented with these variables did not reach numerical convergence. Our empirical evidence shows that, in the case of Russian future markets, TGARCH models with implied volatility and Student’s t errors are better choices if robust market risk measures are of concern.


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