dc.date.accessioned | 2021-09-24T11:55:21Z | |
dc.date.available | 2021-09-24T11:55:21Z | |
dc.identifier.uri | https://fif.hebis.de/xmlui/handle/123456789/1478 | |
dc.description.abstract | OptionMetrics is the financial industry's premier provider of quality historical option price data, tools, and analytics. Currently, over 300 institutional subscribers and universities rely on our products as their main source of options pricing, implied volatility calculations, volatility surfaces, and analytics. We enable traders to construct, test, and execute options/derivatives investment strategies and accurately monitor their risk exposure, so that they can make more informed and, ultimately, more profitable investment decisions. | |
dc.rights | Attribution-ShareAlike 4.0 International | |
dc.rights.uri | http://creativecommons.org/licenses/by-sa/4.0/ | |
dc.subject | Financial Markets | |
dc.subject | Systemic Risk Lab | |
dc.subject | Financial Institutions | |
dc.subject | Transparency Lab | |
dc.title | OptionMetrics | |
dc.type | Research Data | |
dcterms.isReferencedBy | https://fif.hebis.de/xmlui/handle/123456789/2106?Option-Implied Information and Predictability of Extreme Returns | |
dcterms.isReferencedBy | https://fif.hebis.de/xmlui/handle/123456789/2126?Systemic Risk in the Financial Sector: What Can We Learn from Option Markets? | |
dcterms.isReferencedBy | https://fif.hebis.de/xmlui/handle/123456789/2137?Bank Rescues and Bailout Expectations: The Erosion of Market Discipline During the Financial Crisis | |
dcterms.isReferencedBy | https://fif.hebis.de/xmlui/handle/123456789/2288?Level and Slope of Volatility Smiles in Long-Run Risk Models | |
dcterms.isReferencedBy | https://fif.hebis.de/xmlui/handle/123456789/2371?Implied Volatility Duration: A Measure for the Timing of Uncertainty Resolution | |
dcterms.isReferencedBy | https://fif.hebis.de/xmlui/handle/123456789/2418?Volatility, Valuation Ratios, and Bubbles: An Empirical Measure of Market Sentiment | |
dc.source.filename | OptionMetrics.csv | |
dc.subject.keywords | extreme value theory | |
dc.subject.keywords | tail measure | |
dc.subject.keywords | implied correlation | |
dc.subject.keywords | variance risk premium | |
dc.subject.keywords | option-implied distribution | |
dc.subject.keywords | predictability | |
dc.subject.keywords | portfolio optimization | |
dc.subject.keywords | systemic risk | |
dc.subject.keywords | value-at-risk | |
dc.subject.keywords | equity options | |
dc.subject.keywords | implied volatility | |
dc.subject.keywords | asset pricing | |
dc.subject.keywords | epstein-zin preferences | |
dc.subject.keywords | jump risk | |
dc.subject.keywords | stochastic volatility | |
dc.subject.keywords | level and slope of implied volatility smile | |
dc.subject.keywords | preference for early resolution of uncertainty | |
dc.subject.keywords | cross-sectionof expected stock returns | |
dc.subject.keywords | bubbles | |
dc.subject.keywords | option prices | |
dc.subject.keywords | sentiment | |
dc.subject.keywords | valuation ratios | |
dc.subject.keywords | volatility | |
dc.subject.jel | G11 | |
dc.subject.jel | G12 | |
dc.subject.jel | G13 | |
dc.subject.jel | G17 | |
dc.subject.jel | G01 | |
dc.subject.jel | G28 | |
dc.subject.jel | G32 | |
dc.subject.jel | E44 | |
dc.subject.jel | D81 | |
dc.subject.jel | G10 | |
dc.subject.jel | G14 | |
dc.subject.topic1 | keyword | |
dc.subject.topic1 | process | |
dc.subject.topic1 | level | |
dc.subject.topic2 | undervalue | |
dc.subject.topic2 | importantly | |
dc.subject.topic2 | strong | |
dc.subject.topic3 | paper | |
dc.subject.topic3 | extract | |
dc.subject.topic3 | response | |
dc.subject.topic1name | Consumption | |
dc.subject.topic2name | Saving and Borrowing | |
dc.subject.topic3name | Systematic Risk | |
dc.identifier.url | https://optionmetrics.com/?keyword=stock%20options%20historical%20data&gclid=CjwKCAjw8-LnBRAyEiwA6eUMGuXKjT6tscHVTqVKBUa2tvvR-hOOwwRXmDglKUTqAeKzXNeIKi1EnBoC6HIQAvD_BwE | |