@article {Bilson39, author = {John F.O. Bilson and Andrew Kumiega and Ben Van Vliet}, title = {Trading Model Uncertainty and Statistical Process Control}, volume = {5}, number = {3}, pages = {39--50}, year = {2010}, doi = {10.3905/jot.2010.5.3.039}, publisher = {Institutional Investor Journals Umbrella}, abstract = {This article examines the use of statistical process control (SPC) as a methodology for monitoring trading model uncertainty. Traditional quantitative risk management methods do not incorporate the inherent process control problems financial modeling. The reference adaptations apply to the a priori model design process and a posteriori model control. To build and monitor trading models, SPC can be used in conjunction with classical financial metrics to better control market risk.TOPICS: Statistical methods, VAR and use of alternative risk measures of trading risk, exchanges/markets/clearinghouses}, issn = {1559-3967}, URL = {https://jot.pm-research.com/content/5/3/39}, eprint = {https://jot.pm-research.com/content/5/3/39.full.pdf}, journal = {The Journal of Trading (Retired)} }