FRTB spurs data mining push at StanChart

Bank building “single golden source” of trade data in a bid to lower NMRF burden

data-mining

Standard Chartered is turning to data mining techniques in a bid to bolster its ability to model illiquid products, ahead of new market risk capital rules that punish markets suffering patchy liquidity and gaps in trade data.

The lender is building a central repository to host all of its trade data, which Albert Chung, the bank’s head of market risk analytics, Asia, for group market risk models, hopes will allow its risk and finance teams to share a “single golden source of data”. Such efforts

To continue reading...

You need to sign in to use this feature. If you don’t have a Risk.net account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here: