Bank of America Corporation

Mark V Krein

David Joa

Debashis Ghosh

Kurt Newman

Thayer S Allison

Timothy J Bendel

Sudeshna Banerjee

David Neil Joffe

William Anthony Nobili

Sandi Setiawan

Yanghong Shao

Arun Pinto

Preston Wesley Ports, Iii

Michael James O'Hagan

Aaron Lai

Elaine C Marino

Maryann Mangini

Hemant A Kagade

Joy M Tarquin

Computer-implemented methods for identifying or assessing any type of risk and/or opportunity that may arise can include either, alone or in combination, band pass filtering, principal component analysis, random matrix theory analysis, synchronization analysis, and early-warning detection. With one approach, principal component analysis is applied to a times series. Resulting normalized eigenvector content is sorted and distances between the normalized eigenvector content are determined, where the dispersion level of the distances is indicative of an economic instability of an economic system. Each technique can also be viewed as a process that takes a set of inputs and converts it to a set of outputs. These outputs can be used as inputs for a subsequent process or the outputs may be directly actionable for formulating certain economic predictions to make certain decisions.

Predicting economic conditions

Computer-implemented methods for identifying or assessing any type of risk and/or opportunity that may arise can include either, alone or in combination, band pass filtering, principal component analysis, random matrix theory analysis, synchronization analysis, and early-warning detection. Each technique can also be viewed as a process that takes a set of inputs and converts it to a set of outputs. These outputs can be used as inputs for a subsequent process or the outputs may be directly actionable for formulating certain economic predictions to make certain decisions.

Systems and methods for environmental adjustments using biometrics are described. A scanned biometric parameter of an individual may be received and a determination may be made as to whether the scanned biometric parameter of the individual matches a stored biometric parameter of a plurality of stored biometric parameters. Biometric parameters include retinal images, DNA, and voice samples. If a match exists, the individual may be identified based upon the stored biometric parameter. At least one adjustment to change on at least one device based upon the identified individual may be determined. The at least one device may be configured for modifying an environmental condition of the identified individual. At least one instruction to implement the determined at least one adjustment may be transmitted. The adjustment may be a physical adjustment to the device, such as the height level of a chair.

Environmental adjustments using biometrics

Aspects of this disclosure relate to a computer configured to identify potential customers which may include a processor and memory storing computer executable instructions that, when executed, cause the computer to perform a method for identifying potential customers for a first bank, by electronically receiving data regarding the first bank, electronically receiving data regarding a second bank. Further, based on the electronically received data the method may further include identifying locations of the first bank, identifying locations of the second bank, comparing the locations of the first bank with the locations of the second bank, determining locations of the second bank that are within a predetermined distance of at least one location of the first bank, determining an amount of funds in a set of deposit accounts in each location of the second bank, and determining if the amount of funds in each location of the second bank is more than a predetermined amount.

Identifying potential customers using payment information

Systems, methods, and computer program products are provided for providing a consumer with information about the balance of the consumer's credit or debit account after a transaction, such as a purchase transaction, is made using the credit or debit account. In one embodiment, the issuing bank attaches a number representing the balance of the consumer's credit or debit account and/or other information about the balance to the authorization code when authorizing a purchase transaction so that, when a vendor provides the consumer with a purchase receipt that has the authorization code on the receipt, the balance information is automatically included on the receipt with the authorization code. In this way, the consumer can keep track of spending by knowing the total balance of the consumer's credit and/or debit account and/or other balance information after each credit or debit card purchase.

Bank card authorization with balance indicator

Systems, methods, and computer program products are provided for optimizing amounts collected in an offset action where a creditor attaches funds from a debtor's deposits account to satisfy overdue debt payments. In operation, embodiments of the present invention leverage a deposits account's transaction history to detect a deposit pattern for the account and, based on the detected pattern, predict the date of the next large deposit to the attachable account. An offset associate, using the present invention, can then schedule the offset action to occur on the expected date of the next large deposit.

Offset optimization system

Apparatus and methods for providing a trading recommendation. The apparatus and methods may involve using information about events and reactions to the events. The events and the reactions may be used to identify an expected impact of the event on a market. The expected impact may be used to recommend investment vehicle trades. The methods may include receiving an information item that relates to an event; receiving a sentiment indicator corresponding to the item; assigning to the item a market impact weighting index that is at least partially based on the sentiment indicator; and, based at least partially on the market impact weighting index, selecting the trading recommendation from a database of trading recommendations.

Apparatus and methods for facts based trading

In general, embodiments of the invention relate to systems, methods, and computer program products for predicting population migration and analyzing migration-affecting programs. For example, an apparatus is provided having a memory device with population information and a plurality of migration factors stored therein. The population information includes information about population distribution across a plurality of classifications. Each of the plurality of migration factors corresponds to a particular classification of the plurality of classifications and indicates how population members of the particular classification migrate to other classifications over a particular time period. The apparatus also includes a processor communicably coupled to the memory device and configured to use the migration factors and the population information to forecast changes in the population distribution across each of the plurality of classifications over multiple time periods. In one embodiment, the systems, methods, and computer program products are configured to predict lateness characteristics of a lending portfolio.

Lateness migration model

Aggregating customer records to conduct due diligence to facilitate business transaction includes receiving a request to aggregate customer transaction records, wherein the customer transaction records are stored when a customer conducts a transaction with a selected one of a first company and a second company. A plurality of customer transaction records are determined from a first enterprise. The plurality of customer transaction records are aggregated from the first enterprise, wherein the plurality of customer transaction records comprises records associated with the first company and records associated with the second company. The aggregated customer transaction records are communicated in response to the request.

Aggregation of customer transaction data

Aspects of the invention provide for the use of transactional data in the calculation of sub-scores that may be used in an index score. The sub-scores may include an account sub-score, an investment sub-score, and/or a discretionary sub-score. One or more sub-scores that represent an individual, an entity, or an economic sector may be used to create an index. Further aspects relate to calculating novel indices that more accurately represent and/or predict economic conditions.

Economic intelligence

Techniques for bridging data from business support units, e.g., call centers and marketing operations, with a data warehouse to augment and enrich pre-existing customer information. Unstructured data is received with incomplete integration information. A data key is created from the unstructured data, and the unstructured data is integrated with the structured data in a data warehouse based on the data key. Unstructured data can assume different forms of data, including recorded audio data, facial image data, and iris image data. At least one customer identifier is extracted from the unstructured data by data mining. A data key is subsequently created from the at least one customer identifier. Incomplete integration may include partial integration information or may not include any integration information.

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Charlotte, NC, United States of America

Mark V Krein