Volatility forecasting using high frequency data: Evidence from stock markets |
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| Institution: | 1. Dumlupinar University, School of Applied Sciences, Turkey;2. Dumlupinar University, Business Administration, Turkey;1. Norwegian University of Science and Technology, Trondheim, Norway;2. Lillehamer University College, Lillehamer, Norway |
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| Abstract: | The paper aims to suggest the best volatility forecasting model for stock markets in Turkey. The findings of this paper support the superiority of high frequency based volatility forecasting models over traditional GARCH models. MIDAS and HAR-RV-CJ models are found to be the best among high frequency based volatility forecasting models. Moreover, MIDAS model performs better in crisis period. The findings of paper are important for financial institutions, investors and policy makers. |
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