Using commercial share of wallet to rate investments
Abstract
Commercial size of spending wallet (“CSoSW”) is the total business spend of a business including cash but excluding bartered items. Commercial share of wallet (“CSoW”) is the portion of the spending wallet that is captured by a particular financial company. A modeling approach utilizes various data sources to provide outputs that describe a company's spend capacity. A mutual fund rating company can use this CSoW/CSoSW modeling approach to predict the performance of funds that invest in a particular industry or sector. In addition, since mutual funds often provide guidelines for selecting stocks, rating companies can use this modeling approach to predict the performance of companies in a fund's portfolio.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1 . A method comprising:
estimating, by a computer-based system configured for evaluation of business prospects of a business, a commercial size of spending wallet for a business in a plurality of businesses, wherein the estimating is based on total known business spending of the business and a model of industry spending patterns, wherein the model of industry spending patterns uses individual corporate data and aggregate corporate data; rating, by the computer-based system, an investment fund based on the commercial size of spending wallet for the plurality of businesses; and displaying, by the computer-based system, the rating on a display interface.
2 . The method of claim 1 , wherein the estimating is further based on known financial statement data of the business.
3 . The method of claim 1 , and wherein the model of industry spending patterns is used to infer financial statement data and spending data that is not known.
4 . The method of claim 1 , further comprising, by the computer-based system, determining potential marketing targets in the plurality of businesses.
5 . The method of claim 1 , further comprising prioritizing potential marketing targets.
6 . The method of claim 1 , wherein the investment fund is an industry-specific fund.
7 . The method of claim 1 , wherein the investment fund invests in businesses from at least two industries.
8 . The method of claim 1 , further comprising generating a buy instruction based upon the commercial size of spending wallet of the business.
9 . The method of claim 1 , further comprising generating a sell instruction based upon the commercial size of spending wallet of the business.
10 . The method of claim 1 , further comprising generating a sell instruction based upon the commercial size of spending wallet of a customer of the business.
11 . The method of claim 1 , wherein the commercial size of spending wallet is the total spending of the business that can be transacted using a transaction account.
12 . The method of claim 1 , wherein the aggregate corporate data includes financial statement data.
13 . A system comprising:
a processor configured for evaluation of business prospects of a business; a tangible, non-transitory memory configured to communicate with the processor, the tangible, non-transitory memory having instructions stored thereon that, in response to execution by the processor, cause the processor to perform operations; an estimating module in communication with the processor and configured to estimate a commercial size of spending wallet for a business in a plurality of businesses, wherein the estimating is based on total known business spending of the business and a model of industry spending patterns, wherein the model of industry spending patterns uses individual corporate data and aggregate corporate data; a rating module in communication with the processor and configured to rate an investment fund based on the commercial size of spending wallet for the plurality of businesses; and a display module in communication with the processor and configured to display the rating on a display interface.
14 . The system of claim 13 , further comprising a determining module in communication with the processor and configured to determine potential marketing targets in the plurality of businesses.
15 . The system of claim 13 , further comprising a prioritizing module in communication with the processor and configured to prioritize potential marketing targets.
16 . The system of claim 13 , wherein the estimating is further based on known financial statement data of the business.
17 . The system of claim 13 , wherein the model of industry spending patterns is used to infer financial statement data and spending data that is not known.
18 . The system of claim 13 , further comprising a generating module in communication with the processor and configured to generate a buy instruction based upon the commercial size of spending wallet of the business.
19 . The system of claim 13 , further comprising a generating module in communication with the processor and configured to generate a sell instruction based upon the commercial size of spending wallet of at least one of the business or a customer of the business.
20 . An article of manufacture including a non-transitory, tangible computer readable storage medium having instructions stored thereon that, in response to execution by a computer-based system configured for evaluation of business prospects of a business, cause the computer-based system to perform operations comprising:
estimating, by the computer-based system, a commercial size of spending wallet for a business in a plurality of businesses, wherein the estimating is based on total known business spending of the business and a model of industry spending patterns, wherein the model of industry spending patterns uses individual corporate data and aggregate corporate data; rating, by the computer-based system, an investment fund based on the commercial size of spending wallet for the plurality of businesses; and displaying, by the computer-based system, the rating on a display interface.Join the waitlist — get patent alerts
Track US2014317022A1 — get alerts on status changes and closely related new filings.
We store only your email — no account needed. See our privacy policy.