Processor-Based Systems and Computer-Implemented Methods for Identification, Sourcing, and Acquisition of Distressed Debt

Abstract

Disclosed herein are processor-based systems and computer-implemented methods for identification, sourcing, and acquisition of distressed debt. At least one embodiment provides amalgamated debt information associated with an indebted entity, which may owe debt to multiple disparate lending entities. Often, debt information involving these lending entities is maintained in a number of unassociated and disparate data sources, to which access may be restricted on a subscriber basis. To provide amalgamated debt information associated with the indebted entity, a computer platform is programmed to carry out at least one of searching and receiving debt information that is associated with the indebted entity and that identifies some or all of the multiple disparate lending entities. The platform is programmed to amalgamate and organize the debt information, and to present the amalgamated-and-organized debt information via a user interface, providing consolidated access to the unassociated and disparate data sources.

1 . A computing system for facilitating the identification, sourcing, and acquisition of distressed debt, the computing system comprising:
 at least one user interface;   at least one communication interface;   at least one processor; and   data storage having stored thereon instructions executable by the at least one processor for carrying out a set of functions, the set of functions including:
 the computing system receiving loan-profile data records from at least one loan-profile data source, wherein each received loan-profile data record is associated with an original loan from a respective original lender to a respective original borrower for a respective original loan amount, and wherein each received loan-profile data record includes data that reflects one or more loan characteristics of the loan associated with that loan-profile data record; 
 the computing system storing at least a subset of the received loan-profile data records in a manner that is organized at least according to at least one loan characteristic included in the respective received loan-profile data records; 
 the computing system receiving special-purpose-vehicle-(SPV)-modeling data records from at least one SPV-modeling data source; 
 the computing system mining at least a subset of the received SPV-modeling data records to extract therefrom and store associations between respective original loans and respective downstream pieces of said respective original loans, wherein the associations include identifications of respective downstream lending institutions currently holding said respective downstream pieces of said respective original loans; 
 the computing system presenting via the at least one user interface (i) access to the stored subset of received loan-profile data records according to the manner in which the subset is stored and (ii) access to the stored associations between respective original loans and respective downstream pieces of said respective original loans, wherein said access to the loan-profile data records and said access to the stored associations are correlated with one another by at least one loan characteristic; and 
 the computing system providing a sourcing tracker, wherein the sourcing tracker comprises a sourcing data store and a sourcing user interface, wherein the sourcing data store comprises and the sourcing user interface provides access to at least one of contact information, communication-history information, and planned-communication information for one or more contacts at one or more downstream lending institutions, wherein the sourcing user-interface provides said access in a manner that is correlated with the stored associations that pertain respectively to the downstream lending institutions respectively associated with said contacts. 
   
     
     
         2 . The computing system of  claim 1 , wherein the at least one user interface comprises at least one visual display. 
     
     
         3 . The computing system of  claim 1 , wherein receiving loan-profile data records from at least one loan-profile data source comprises at least one of (i) at least one loan-profile data record being manually downloaded and (ii) at least one loan-profile data record being downloaded in at least one automated manner. 
     
     
         4 . The computing system of  claim 3 , wherein said at least one automated manner involves at least one of execution of at least one macro, execution of a least one script, and execution of at least one batch download. 
     
     
         5 . The computing system of  claim 1 , wherein storing at least the subset of the received loan-profile data records in the manner that is organized at least according to at least one loan characteristic included in the respective received loan-profile data records comprises at least one of (i) at least one loan-profile data record being manually stored in that manner and (ii) at least one loan-profile data record being stored in that manner in at least one automated manner. 
     
     
         6 . The computing system of  claim 5 , wherein said at least one automated manner involves at least one of file-type conversion, batch file-type conversion, optical character recognition (OCR), and parsing. 
     
     
         7 . The computing system of  claim 1 , wherein the at least one loan characteristic included in the respective received loan-profile data records includes one or more of original lender, original borrower, original loan amount, transaction type, transaction date, and agent bank. 
     
     
         8 . The computing system of  claim 1 , wherein the manner in which the respective received loan-profile data records are organized comprises at least one of (i) a file-naming convention wherein the file names reflects at least one such loan characteristic and (ii) a folder structure wherein the folder contents are determined at least in part by said contents having in common at least one such loan characteristic. 
     
     
         9 . The computing system of  claim 8 , wherein said folder structure comprises at least two different hierarchical levels of organization respectively organized by two different such loan characteristics. 
     
     
         10 . The computing system of  claim 1 , wherein at least one of the received SPV-modeling data records pertains to an SPV selected from the group consisting of a collateralized loan obligation (CLO), a collateralized debt obligation (CDO), and a collateralized mortgage obligation (CMO). 
     
     
         11 . The computing system of  claim 1 , wherein receiving SPV-modeling data records comprises receiving updated data feeds and responsively updating at least one stored association. 
     
     
         12 . The computing system of  claim 1 , further comprising a target tracker, wherein the target tracker comprises a target data store and a target user interface, wherein the target data store comprises target-company profile records and the stored loan-profile records, and wherein the target user interface provides access to said target-company profile records and stored loan-profile records. 
     
     
         13 . The computing system of  claim 1 , further comprising providing via the at least one user interface a single display comprising respective points of access to respective cross-referenced displays of stored data, wherein the cross-referenced displays include displays that respectively pertain to target companies, target loans, target pieces of target loans, and a distressed-loan universe. 
     
     
         14 . The computing system of  claim 13 , wherein the cross-referenced displays further include at least one of a display that pertains to transaction due diligence, a display that pertains to research and reporting, and a display that pertains to transaction profile data. 
     
     
         15 . The computing system of  claim 13 , wherein the cross-referenced displays further include a display that pertains to transaction due diligence, a display that pertains to research and reporting, and a display that pertains to transaction profile data. 
     
     
         16 . The computing system of  claim 15 , wherein the cross-referenced displays are arranged on the at least one user interface in a visual sequence that parallels a chronological sequence of a control-investing transaction. 
     
     
         17 . The computing system of  claim 1 , further comprising a portfolio-company-reporting function. 
     
     
         18 . A method facilitating the identification, sourcing, and acquisition of distressed debt, the method carried out by a computing system comprising at least one user interface, at least one communication interface, at least one processor, and data storage having stored thereon instructions executable by the at least one processor for carrying out the method, the method comprising:
 the computing system receiving loan-profile data records from at least one loan-profile data source, wherein each received loan-profile data record is associated with an original loan from a respective original lender to a respective original borrower for a respective original loan amount, and wherein each received loan-profile data record includes data that reflects one or more loan characteristics of the loan associated with that loan-profile data record;   the computing system storing at least a subset of the received loan-profile data records in a manner that is organized at least according to at least one loan characteristic included in the respective received loan-profile data records;   the computing system receiving special-purpose-vehicle-(SPV)-modeling data records from at least one SPV-modeling data source;   the computing system mining at least a subset of the received SPV-modeling data records to extract therefrom and store associations between respective original loans and respective downstream pieces of said respective original loans, wherein the associations include identifications of respective downstream lending institutions currently holding said respective downstream pieces of said respective original loans;   the computing system presenting via the at least one user interface (i) access to the stored subset of received loan-profile data records according to the manner in which the subset is stored and (ii) access to the stored associations between respective original loans and respective downstream pieces of said respective original loans, wherein said access to the loan-profile data records and said access to the stored associations are correlated with one another by at least one loan characteristic; and   the computing system providing a sourcing tracker, wherein the sourcing tracker comprises a sourcing data store and a sourcing user interface, wherein the sourcing data store comprises and the sourcing user interface provides access to at least one of contact information, communication-history information, and planned-communication information for one or more contacts at one or more downstream lending institutions, wherein the sourcing user-interface provides said access in a manner that is correlated with the stored associations that pertain respectively to the downstream lending institutions respectively associated with said contacts.   
     
     
         19 . The method of  claim 18 , wherein the at least one user interface comprises at least one visual display. 
     
     
         20 . The method of  claim 18 , wherein receiving loan-profile data records from at least one loan-profile data source comprises at least one of (i) at least one loan-profile data record being manually downloaded and (ii) at least one loan-profile data record being downloaded in at least one automated manner. 
     
     
         21 . The method of  claim 20 , wherein said at least one automated manner involves at least one of execution of at least one macro, execution of a least one script, and execution of at least one batch download. 
     
     
         22 . The method of  claim 18 , wherein storing at least the subset of the received loan-profile data records in the manner that is organized at least according to at least one loan characteristic included in the respective received loan-profile data records comprises at least one of (i) at least one loan-profile data record being manually stored in that manner and (ii) at least one loan-profile data record being stored in that manner in at least one automated manner. 
     
     
         23 . The method of  claim 22 , wherein said at least one automated manner involves at least one of file-type conversion, batch file-type conversion, optical character recognition (OCR), and parsing. 
     
     
         24 . The method of  claim 18 , wherein the at least one loan characteristic included in the respective received loan-profile data records includes one or more of original lender, original borrower, original loan amount, transaction type, transaction date, and agent bank. 
     
     
         25 . The method of  claim 18 , wherein the manner in which the respective received loan-profile data records are organized comprises at least one of (i) a file-naming convention wherein the file names reflects at least one such loan characteristic and (ii) a folder structure wherein the folder contents are determined at least in part by said contents having in common at least one such loan characteristic. 
     
     
         26 . The method of  claim 25 , wherein said folder structure comprises at least two different hierarchical levels of organization respectively organized by two different such loan characteristics. 
     
     
         27 . The method of  claim 18 , wherein at least one of the received SPV-modeling data records pertains to an SPV selected from the group consisting of a collateralized loan obligation (CLO), a collateralized debt obligation (CDO), and a collateralized mortgage obligation (CMO). 
     
     
         28 . The method of  claim 18 , wherein receiving SPV-modeling data records comprises receiving updated data feeds and responsively updating at least one stored association. 
     
     
         29 . The method of  claim 18 , further comprising the computing system providing a target tracker, wherein the target tracker comprises a target data store and a target user interface, wherein the target data store comprises target-company profile records and the stored loan-profile records, and wherein the target user interface provides access to said target-company profile records and stored loan-profile records. 
     
     
         30 . The method of  claim 18 , further comprising the computing system providing via the at least one user interface a single display comprising respective points of access to respective cross-referenced displays of stored data, wherein the cross-referenced displays include displays that respectively pertain to target companies, target loans, target pieces of target loans, and a distressed-loan universe. 
     
     
         31 . The method of  claim 30 , wherein the cross-referenced displays further include at least one of a display that pertains to transaction due diligence, a display that pertains to research and reporting, and a display that pertains to transaction profile data. 
     
     
         32 . The method of  claim 30 , wherein the cross-referenced displays further include a display that pertains to transaction due diligence, a display that pertains to research and reporting, and a display that pertains to transaction profile data. 
     
     
         33 . The method of  claim 32 , wherein the cross-referenced displays are arranged on the at least one user interface in a visual sequence that parallels a chronological sequence of a control-investing transaction. 
     
     
         34 . The method of  claim 18 , further comprising the computing system providing a portfolio-company-reporting function.