EconPapers    
Economics at your fingertips  
 

Historic risk and implied volatility

Mehmet F. Dicle and John Levendis

Global Finance Journal, 2020, vol. 45, issue C

Abstract: This study extends the volatility prediction literature with (1) new intraday realized volatility measures and (2) various implied volatility indexes for commodities, currencies, and equities. Predicting volatility is important for academics, investors, and regulators. Applications range from forecasting stock and option returns to constructing early warning systems. Using twenty-three Chicago Board Options Exchange VIX indexes, as opposed to the common S&P 100 and S&P 500 equity indexes, we find a bidirectional lead-lag relationship between implied volatility and realized volatility. The lead-lag relationships are more robust and stronger using suggested intraday volatility measures than using the interday volatility measures that are common in the literature.

Keywords: Volatility; Implied volatility; S&P 500; VIX; CBOE (search for similar items in EconPapers)
JEL-codes: G12 G14 G17 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1044028318301625
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:glofin:v:45:y:2020:i:c:s1044028318301625

DOI: 10.1016/j.gfj.2019.100475

Access Statistics for this article

Global Finance Journal is currently edited by Manuchehr Shahrokhi

More articles in Global Finance Journal from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:glofin:v:45:y:2020:i:c:s1044028318301625