メインコンテンツに移動

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

コンテンツを印刷またはコピーできるのは、有料の購読契約を結んでいるユーザー、または法人購読契約の一員であるユーザーのみです。

これらのオプションやその他の購読特典を利用するには、info@risk.net にお問い合わせいただくか、こちらの購読オプションをご覧ください: http://subscriptions.risk.net/subscribe

現在、このコンテンツをコピーすることはできません。詳しくはinfo@risk.netまでお問い合わせください。

Sorry, our subscription options are not loading right now

Please try again later. Get in touch with our customer services team if this issue persists.

New to Risk.net? View our subscription options

無料メンバーシップの内容をお知りになりたいですか?ここをクリック

パスワードを表示
パスワードを非表示にする

ALM Benchmarking: explore the data

View interactive charts from Risk.net’s 46-bank study, covering ALM governance, balance-sheet strategy, stress-testing, technology and regulation

Most read articles loading...

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

ログイン
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