You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
A useful feature in the Monte Carlo style function txnsim() is the computation of empirical p-values from the output. The output from simulations of portfolio PL (ie. mcsim) tends to tell us less information about standard sample statistics than metrics like Max Drawdown for instance, and viewing this p-value from the output of mcsim() could be useful to the analyst.
A useful feature in the Monte Carlo style function txnsim() is the computation of empirical p-values from the output. The output from simulations of portfolio PL (ie. mcsim) tends to tell us less information about standard sample statistics than metrics like Max Drawdown for instance, and viewing this p-value from the output of mcsim() could be useful to the analyst.
See, North, Curtis, and Sham mention in "A Note on the Calculation of Empirical P Values from Monte Carlo Procedures" - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC379178/
The text was updated successfully, but these errors were encountered: