Bank of America Corporation

David Neil Joffe

David Joa

Timothy J Bendel

William Anthony Nobili

Mark V Krein

Sandi Setiawan

Hans Dirk Schumacher

Yanghong Shao

Debashis Ghosh

Kurt Newman

Erik Stephen Ross

Naveen Gururaja Yeri

Sudeshna Banerjee

Thayer S Allison

Arun Pinto

Jade Michelle Le Vo-Dinh

Samuel Jeff Carter

Deepak Verma

Srihari Rao Gatpa

Marc Douglas Halsted

Ray Garcia

John Mertz

Zoran Obradovic

Susan Smith Thomas

Nancy T Carrier

Bibhudatta Jena

Matthew Rice

James K Macklin

Vikas Mishra

Kunal Makin

Tracy Elizabeth Marcin

John Scott Bailer

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, methods and computer program products are provided for optimizing social networks. In the systems and methods, account data associated with a user account is received and the account data is stored in a storage device. Pluralities of networking opportunities are identified based on the account data. Furthermore, based on the account data triggers may be detected indicating a user's interest in one or more social networking opportunities. The system then offers the user, based at least partially on the detected trigger, the one or more social networking opportunities.

System for optimizing social networking

Systems and methods for producing and maintaining account related triggers are provided herein. The systems and methods may be utilized for risk mitigation. Account triggers may be executed to determine account activity indicative of a risk event. Once a risk event is identified, the financial institution may determine an appropriate action to mitigate foreseeable risk due to the risk event.

Financial account related trigger feature for risk mitigation

Systems and methods for producing and maintaining account related triggers are provided herein. The systems and methods may be utilized for monitoring of one or more accounts of a financial institution. Triggers may be executed to monitor financial account ratios. Offers may be triggered based on the account ratios or changes in the account ratios.

Financial account related trigger feature for detecting changes in financial ratios

Aspects of the disclosure relate to assisting credit account holders during economic hardship. More specifically, aspects of the disclosure relate to systems and methods for providing a rebate of at least a portion of a finance charge applied to a credit account. Unlike certain prior art systems and methods, embodiments disclosed herein may benefit both the credit account holder as well as the financial institution that extends the credit account. In one embodiment, it may be determined that several credit accounts meet a threshold of probability of having a charge-off. In certain embodiments, the number of accounts that receive a rebate may be limited to a certain percentage of credit accounts with a non-zero balance.

Financial charge rebate

Aspects of the invention provide for the use of transactional data in determining credit and product offerings. Further aspects of the invention provide for generating financial statements and indices using transactional data for use by users and/or financial institutions. The transactional based financial statements and indices may be used for making underwriting and financial planning decisions.

Calculating credit worthiness using transactional data

According to one or more aspects, financial transactions may be conducted using a financial card product, such as a hybrid secured credit card that permits transactions up to a predetermined total credit limit, and then allows transactions in excess using a security interest in assets. The asset may be the available balance in an interest-bearing checking account (e.g., a DDA account), a brokerage account, or other type of account that may hold funds/assets. The available balance of the asset(s) may be monitored in real-time (or near real-time) such that the available spending limit on the hybrid secured credit card may be floating (e.g., dynamic). In one example, backend systems may be configured to monitor in real-time an available balance in security accounts in order to prevent spending over the amount of secured funds. In addition, in some examples, more than one account may be associated with the card such that the total spending limit on the card is greater. The total spending limit may be calculated through arithmetic (e.g., sum) of the available balance of each of the associated accounts.

Hybrid secured credit card

Embodiments of the present invention relate to methods and apparatuses for determining, recommending, and/or executing a payment strategy. For example, in some embodiments, a method is provided for determining a payment strategy for using at least some funds from a first account to make two or more payments on a second account during a single pay period. In such embodiments, the method includes: (1) determining that the second account includes a payment due date and a minimum payment due; (2) determining a number of payments to make on the second account; (3) determining a payment amount for each payment, such that the total payment amount for all of the payments is sufficient to at least offset the minimum payment due; and (4) determining a triggering event for each payment, such that each of the payments is made on or before the payment due date.

Determining a payment strategy

A method for conducting a financial transaction can be used by a person using a mobile device to conduct the transaction. The mobile device receives information related to the person that can be used for authentication purposes, such as a PIN or biometric data. The mobile device then authenticates the person by verifying the information received. If the person is authenticated, the transaction is completed using the mobile device, and if the person is not authenticated, the transaction is prevented.

Information banking

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Charlotte, NC, United States of America

David Neil Joffe