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Datastore Monte Carlo

The Datastore Monte Carlo worker calculates the contribution to overall portfolio risk from each security using Marginal Contribution to Total Risk (MCTR), and returns the results as a datastore.

Parameters

Input

Field Description
Portfolio The target portfolio. Accepts Fixed Portfolio, Get Latest, or Upstream Data
Workspace Workspace of the portfolio. Accepts Fixed Workspace. Defaults to the current workspace
VaR Whether to calculate VaR at the MCTR and/or Portfolio level. Accepts Boolean
CVaR Whether to calculate Conditional VaR at the MCTR and/or Portfolio level. Accepts Boolean
Volatility Whether to calculate volatility at the MCTR and/or Portfolio level. Accepts Boolean

Output

Field Description
Name Name of the output datastore. Accepts Template Text or Upstream Data. Defaults to the portfolio name
Date Date of the output datastore. Accepts Fixed Date or Upstream Data. Defaults to the portfolio date
Workspace Workspace where the output datastore will be saved. Accepts Fixed Workspace. Defaults to the portfolio workspace
Tags Tags for the output datastore. Accepts Fixed Tags or Upstream Data. Defaults to the portfolio tags
Storage Mode Transient — exists only within the current workflow run (default); Create — saves the datastore to the platform

Advanced

Field Description
Header Suffix Suffix appended to the end of property column names in the output datastore. Accepts Template Text or Upstream Data. Default is no suffix
Horizon The forecast horizon for calculation. Produces a range of outcomes for each security via their underlying factors across a specific date range. Default is 1-day forecast. See Simulation Horizon
Sampling Frequency at which historical prices and rates are sampled to compute risk factors. Use 1 for daily, 5 for weekly (non-overlapping). Default is 1
Volatility Half-Life Half-life of volatility information in months. Default is 2 months
Correlation Half-Life Half-life of correlation information in months. Default is 6 months
Confidence Confidence level for calculation. For example, at 95% confidence with 10,000 simulations, the first 5% (500 samples) are used. Default is 95%
Posterior Model Controls the posterior model used in the simulation. See the Everysk Risk Methodology White Paper for details
Projection User-supplied array of securities used as a top-down factor model. Accepts Symbol. Defaults to IND:SPX

Result

Once the worker finishes successfully, it returns a result object containing the datastore.

  • Datastore (datastore)
  • ID (string)
  • Name (string)
  • Date (date)
  • Tags (list of strings)
  • Data (list of lists)

The Data component includes the following columns:

  • sec_monte_carlo_cvar
  • port_monte_carlo_cvar
  • sec_monte_carlo_var
  • port_monte_carlo_var
  • sec_monte_carlo_vol
  • port_monte_carlo_vol