Predicting the equity market with option-implied variables. Issue 10 (3rd July 2019)
- Record Type:
- Journal Article
- Title:
- Predicting the equity market with option-implied variables. Issue 10 (3rd July 2019)
- Main Title:
- Predicting the equity market with option-implied variables
- Authors:
- Hollstein, Fabian
Prokopczuk, Marcel
Tharann, Björn
Wese Simen, Chardin - Abstract:
- Abstract : We comprehensively analyze the predictive power of several option-implied variables for monthly S&P 500 excess returns and realized variance. The correlation risk premium ( CRP ) and the variance risk premium ( VRP ) emerge as strong predictors of both excess returns and realized variance. This is true both in- and out-of-sample. Our results also reveal that statistical evidence of predictability does not necessarily lead to economic gains. However, a timing strategy based on the CRP leads to utility gains of more than 5.03% per annum. Forecast combinations provide stable forecasts for both excess returns and realized variance, and add economic value.
- Is Part Of:
- European journal of finance. Volume 25:Issue 10(2019)
- Journal:
- European journal of finance
- Issue:
- Volume 25:Issue 10(2019)
- Issue Display:
- Volume 25, Issue 10 (2019)
- Year:
- 2019
- Volume:
- 25
- Issue:
- 10
- Issue Sort Value:
- 2019-0025-0010-0000
- Page Start:
- 937
- Page End:
- 965
- Publication Date:
- 2019-07-03
- Subjects:
- Equity premium -- option-implied information -- portfolio choice -- predictability -- timing strategies
G10 -- G11 -- G17
Finance -- Periodicals
Finance -- Europe -- Periodicals
International finance -- Periodicals
332.094 - Journal URLs:
- http://www.tandfonline.com/toc/rejf20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/1351847X.2018.1556176 ↗
- Languages:
- English
- ISSNs:
- 1351-847X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3829.728960
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 10018.xml