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- Stephen Hicks Barred for Defrauding His CT Hedge Funds - SEC
- Barclays CEO Staley Sees Pay Decline - Frankly, He's Lucky to Still be Employed
- Barclays Female Investment Bankers Earn 21% Less in Bonuses than Male Counterparts
- FINRA Eliminates $400 Fee for Explained Arbitration Decision
- SEC Adopts Statement and Interpretive Guidance on Public Company Cybersecurity Disclosures
- SEC Charges Former Bitcoin Exchange and Its Founder With Fraud
- JPMorgan Chase to Replace NYC Headquarters with 70-Story Skyscraper
- Citigroup Raises CEO Corbat's Pay 48% to $23Mn
- Should Congress Create a Crypto-Cop?
- JPMorgan Weighs Buying an Exchange-Traded Funds Firm
- Hey, Goldman Sachs: Wanna Buy BNY Mellon?
- SEC Order Rejecting Acquisition of Chicago Stock Exchange (CSX) by Chinese-Baesd Company
- Kyle Moffatt Named Chief Accountant in SEC CorpFinance
- SEC Suspends Trading in 3 Issuers Claiming Involvement in Cryptocurrency and Blockchain Technology
- Karen Garnett, Assoc. Director of SEC CorpFinance, to Leave After 23 Years of Service
- Louisiana Adviser Barred for Hiding Losses from Investors
- Connecticut HF Manager Illegally Diverted Investor Money - Now Owes Nearly $13Mn
- White House Cleaning House of Advisors Without Full Security Clearance
- Goldman Projects 30% Growth in Wealth Management Advisor Force
- Whistleblower Alleges Manipulation of CBOE Volatility Index
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NEWSLETTERS & ALERTS
Rogue Traders 'Come Up Aces'
Chalk up another win for Artificial Intelligence (AI). More particularly, let’s hear it for the AI program that ferreted out suspicious trading activity based on individuals' psychological tendencies gleaned from piles of communications.
Called in to help companies that were under investigation for possible trading irregularities, Behavox, a U.K. start-up, detected a link between poker nights – attended by heads of trading from major investment banks – and big spikes in their firms' trading profits.
According to Erkin Adylov, CEO of Behavox:
"The relationship between the people involved is the reason we flagged it. The three people who kept playing poker were very close and seem important - i.e. there seemed like there was a business relation. The fact that these guys spent a ton of time playing poker when they were clearly busy was the first thing we highlighted. When you analyzed P&L and overlaid one data set with another, there was a big spike in P&L after the poker night. When we highlighted, the compliance guys were able to connect the dots and found it was a case of collusion."
[Click below link for the whole story.]