Greeks (option sensitivities)
E284680
Greeks (option sensitivities) are quantitative measures that describe how the price of an option responds to changes in underlying variables such as the asset price, volatility, time, and interest rates.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Greeks (option sensitivities) canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2631272 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greeks (option sensitivities) Context triple: [Black–Scholes model, relatedTo, Greeks (option sensitivities)]
-
A.
Black–Scholes model
The Black–Scholes model is a fundamental mathematical framework in financial economics for pricing options and other derivatives by modeling asset prices as stochastic processes.
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B.
chi-rho
The chi-rho is an early Christian monogram formed from the first two Greek letters of "Christ," used as a symbol of Jesus and the Christian faith.
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C.
Itô’s lemma
Itô’s lemma is a fundamental result in stochastic calculus that generalizes the chain rule to functions of stochastic processes, especially Brownian motion.
-
D.
OEX
OEX is the ticker symbol for the S&P 100 Index, a benchmark of 100 major blue-chip U.S. stocks.
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E.
GSL
GSL is the vehicle registration code assigned to cars registered in a specific district of Poland’s Pomeranian Voivodeship.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Greeks (option sensitivities) Target entity description: Greeks (option sensitivities) are quantitative measures that describe how the price of an option responds to changes in underlying variables such as the asset price, volatility, time, and interest rates.
-
A.
Black–Scholes model
The Black–Scholes model is a fundamental mathematical framework in financial economics for pricing options and other derivatives by modeling asset prices as stochastic processes.
-
B.
chi-rho
The chi-rho is an early Christian monogram formed from the first two Greek letters of "Christ," used as a symbol of Jesus and the Christian faith.
-
C.
Itô’s lemma
Itô’s lemma is a fundamental result in stochastic calculus that generalizes the chain rule to functions of stochastic processes, especially Brownian motion.
-
D.
OEX
OEX is the ticker symbol for the S&P 100 Index, a benchmark of 100 major blue-chip U.S. stocks.
-
E.
GSL
GSL is the vehicle registration code assigned to cars registered in a specific district of Poland’s Pomeranian Voivodeship.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
financial derivative sensitivity
ⓘ
option risk measure ⓘ |
| appliesTo |
call options
ⓘ
exotic options ⓘ options portfolios ⓘ put options ⓘ |
| assumes | a specific option pricing model ⓘ |
| canBe |
calculated analytically in some models
ⓘ
estimated by Monte Carlo simulation ⓘ estimated numerically by finite differences ⓘ |
| classification |
first-order Greeks
ⓘ
higher-order Greeks ⓘ second-order Greeks ⓘ |
| dependsOn |
dividend yield
ⓘ
implied volatility ⓘ risk-free interest rate ⓘ time to expiration ⓘ underlying asset price ⓘ |
| describes | sensitivity of option price to underlying variables ⓘ |
| field |
options pricing
ⓘ
quantitative finance ⓘ risk management ⓘ |
| includes |
Charm
ⓘ
Color ⓘ Delta ⓘ Dual Delta ⓘ Dual Gamma ⓘ Gamma ⓘ Rho ⓘ Speed ⓘ Theta ⓘ Vanna ⓘ Vega ⓘ Vomma ⓘ Zomma ⓘ |
| limitation |
model risk from incorrect assumptions
ⓘ
sensitivity to parameter estimation errors ⓘ |
| mathematicalDefinition | partial derivatives of option price with respect to model parameters ⓘ |
| namedAfter | Greek alphabet ⓘ |
| primaryPurpose |
quantify risk exposures of options
ⓘ
support dynamic hedging ⓘ |
| relatedToModel |
Black–Scholes model
ⓘ
binomial options pricing model ⓘ stochastic volatility models ⓘ |
| usedIn |
hedging strategies
ⓘ
market making ⓘ options portfolio management ⓘ regulatory risk reporting ⓘ risk measurement ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Greeks (option sensitivities) Description of subject: Greeks (option sensitivities) are quantitative measures that describe how the price of an option responds to changes in underlying variables such as the asset price, volatility, time, and interest rates.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.