The relationship between the volatility of returns and the number of jumps in financial markets

We propose a methodology to employ high frequency financial data to obtain estimates of volatility of log-prices which are not affected by microstructure noise and Lévy jumps. We introduce the “number of jumps” as a variable to explain and predict volatility and show that the number of jumps in SPY...

詳細記述

書誌詳細
主要な著者: Cartea, Á, Karyampas, D
フォーマット: Journal article
出版事項: Taylor and Francis 2014

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