William Filonuk resumes & CV records
Resumes
William W Filonuk, 60Presto, PA
William Filonuk Phones & Addresses
Presto, PA
64 Jelliff Mill Rd, New Canaan, CT 06840
99 Battery Pl, New York, NY 10280
99 Battery Pl #22C, New York, NY 10280
Westport, CT
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William W Filonuk
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Publications & IP owners
Us Patents
Outlier Trade Detection For Financial Asset Transactions
US Patent:
2013020, Aug 8, 2013
Filed:
Dec 17, 2012
Appl. No.:
13/717162
Inventors:
THE BANK OF NEW YORK MELLON CORPORATION - New York NY, US
Yuri Brightly - Cambridge MA, US
Kojo Akabua - Pittsburgh PA, US
William Filonuk - New Canaan CT, US
Yuri Brightly - Cambridge MA, US
Kojo Akabua - Pittsburgh PA, US
William Filonuk - New Canaan CT, US
Assignee:
THE BANK OF NEW YORK MELLON CORPORATION - New York NY
International Classification:
G06Q 40/04
US Classification:
705 37
Abstract:
Tools are provided for identifying outliers or variations in trade data derived from financial asset transactions, such as securities lending transactions, foreign exchange transactions, over the counter and exchange traded derivative transactions, and equity and fixed income transactions. Such outliers may provide an indication that a given trade is suspicious or potentially inappropriate from a customer relationship point of view, a regulatory perspective, or a legal standpoint. Trades identified as outliers can be utilized in regression analyses to analyze specific trades, trader-broker relationships, or other trading activity.
Outlier Trade Detection For Financial Asset Transactions
US Patent:
2012000, Jan 5, 2012
Filed:
Jul 1, 2011
Appl. No.:
13/175364
Inventors:
Paul Chi - Philadelphia PA, US
Yuri Brightly - Cambridge MA, US
Kojo Akabua - Pittsburgh PA, US
William Filonuk - New Canaan CT, US
Yuri Brightly - Cambridge MA, US
Kojo Akabua - Pittsburgh PA, US
William Filonuk - New Canaan CT, US
Assignee:
The Bank of New York Mellon Corporation - New York NY
International Classification:
G06Q 40/00
US Classification:
705 37
Abstract:
Tools are provided for identifying outliers or variations in trade data derived from financial asset transactions, such as securities lending transactions, foreign exchange transactions, over the counter and exchange traded derivative transactions, and equity and fixed income transactions. Such outliers may provide an indication that a given trade is suspicious or potentially inappropriate from a customer relationship point of view, a regulatory perspective, or a legal standpoint. Trades identified as outliers can be utilized in regression analyses to analyze specific trades, trader-broker relationships, or other trading activity.
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