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Using CQG Options
Click to EnlargeCQG's set of powerful analytics ranges from detailed quote windows to the ability to perform what-if strategies. The scope of the tools is enhanced by the choices available within the modules for analyzing the option strategies. Within each of these modules, CQG offers seven different options models for analyzing options and strategies.

An options model is used to measure the characteristics and how they can vary for an option (known as the Greeks). Options models are also used to estimate implied volatility and theoretical value; and performing what-if scenarios.

 

 

 

 

The option models used in each of the five CQG modules are:

  • Black Model
  • Black-Scholes Model
  • Bourtov's Model
  • Cox-Ross-Rubinstein (Binomial) Model
  • Garman-Kohlhagen Model
  • Merton Model
  • Whaley (Barone-Adesi-Whaley Quadratic) Model

You control the properties of the models. First, you have two choices of data for calculating volatility: traded implied volatility or momentary volatility.

Next, you can select the iterative process used to arrive at the implied volatility. CQG offers you four iteration methods for arriving at the implied volatility: Newton's method (using vega), the secant method, binary division, and the combined method, which blends the secant and binary division processes.

You can choose from among six volatility choices, all calculated from market data: 

  • Volatility surface from the 3-D volatility workshop module
  • Volatility curve from the non 3-D volatility workshop module
  • Implied volatility
  • Average volatility
  • Historical volatility
  • Constant volatility

You can select the currency and interest rate used for the options calculations.

As always with CQG, you have a wide range of choices in preferences that enable you to tailor your analytics to your specific needs.

Related
CQG Integrated Client
CQG Trader
Custom Studies
Extended Historical Data
Markets Covered
Standard Studies
Studies in CQG
TFlow®
 

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