FMR has been granted a patent for the Multiple Modular Asset Class Constructor Apparatuses, Methods and Systems (“MMACC”). The invention transforms collateralized equity obligation structure parameters into asset income and principal distribution messages through a complex data structure process. GlobalData’s report on FMR gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on FMR, AI for workflow management was a key innovation area identified from patents. FMR's grant share as of January 2024 was 53%. Grant share is based on the ratio of number of grants to total number of patents.
Asset data structure creator apparatus for equity tranche allocation
A recently granted patent (Publication Number: US11861712B1) discloses an apparatus for creating an actionable asset data structure. The apparatus includes a memory, a component collection, and at least one processor. The processor executes instructions to obtain a composite capital structure input data structure, determine dividend and capital allocations for equity tranche data structure elements, generate a second actionable data structure mapping these allocations, and create share data structures for the equity tranche elements. The apparatus further allows for the creation of database records, specifies identifiers and investment sizes for indices, facilitates share purchases based on investments, and enables exchanges between different equity tranche elements and indices.
Additionally, the patent describes a processor-readable medium storing instructions for creating actionable asset data structures, a processor-implemented system for the same purpose, and a process for processing these instructions. These components work together to obtain composite capital structure input data, determine dividend and capital allocations, generate actionable data structures, and create share data structures for equity tranche elements. The system also allows for the mapping of shares to products, such as enhanced yield or growth products, and facilitates exchanges between domestic and foreign indices. Overall, the patented technology provides a comprehensive framework for efficiently managing asset data structures and optimizing investment strategies.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
