ActiveMargin™ - Increase your trading space without risk

 
 
 
Overview
Pre-Trade Margining
Instrument Coverage
Supported Exchanges
Technology Architecture
Upcoming Features
FAQs



Frequently Asked Questions
 
 
 
   
 
Monte Carlo Simulation
Does ActiveMargin™ provide for a robust random number generation scheme?
Does ActiveMargin™ allow for different distributions of returns during Monte Carlo generation?
Does ActiveMargin™ allow for stochastic volatility during Monte Carlo simulations?
 

• Does ActiveMargin™ provide for a robust random number generation scheme?
 
ActiveMargin™ provides the following random number generators by default
  • Park-Miller
  • Park-Miller with BD Shuffle
  • L'Ecuyer
  • Knuth
  • Pseudo-DES Hashing
  • Windows Default
 
• Does ActiveMargin™ allow for different distributions of returns during Monte Carlo generation?  
ActiveMargin™ currently implements the following distributions
  • Gaussian Distribution
  • Mixed-Normal Distribution
Implementation of a Generalised Error Distribution is underway, and will be part of the next release.

 
• Does ActiveMargin™ allow for stochastic volatility during Monte Carlo simulations?  
Yes. ActiveMargin™ considers the time series of implied volatilities to arrive at the volatility of the implied vols, as also the correlations with other risk factors. In doing so, ActiveMargin™ generates a volatility surface from available data on implied vols, risk reversal and strangle vols, and interpolates required vols from this surface. With such a methodology, ActiveMargin™ comprehensively covers vega risk on all option positions.

 
       
     
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