System and method for analyzing analyst recommendations on a single stock basis
First Claim
1. A computer-implemented method of scoring at least one contributor for the performance of the contributor'"'"'s recommendation with respect to a single stock, the method comprising:
- receiving, at a server, a user selection of a contributor from among a plurality of contributors;
receiving, at the server, a user selection of a stock from among a plurality of stocks;
executing a computer software program on the server to create a score for the contributor'"'"'s recommendation on the stock relative to a benchmark, the score being determined based on a payoff function that determines the score as a function of a plurality of factors, the factors comprising;
i) a benchmark-relative return on the stock, wherein the benchmark-relative return of the stock is a return on the stock relative to a return on a benchmark that corresponds to the stock; and
ii) the recommendation made by the contributor;
wherein the payoff function for a neutral recommendation on the stock has a maximum score at a baseline benchmark-relative return, andwherein, for a single benchmark-relative return on the stock equal to the baseline benchmark-relative return, the score for a neutral recommendation determined according to the payoff function is greater than both the score determined according to the payoff function for a positive recommendation on the stock and the score determined according to the payoff function for a negative recommendation on the stock; and
storing the score in one or more electronic storage media associated with the server.
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Accused Products
Abstract
A system and method for measuring and creating a score for the performance of one or more contributor recommendations on a single stock. According to one embodiment, the score may be derived via a payoff function that depends on a variety of factors. For example, the factors may include one or more of: i) the performance of the stock; ii) the performance of a selected benchmark; iii) the recommendation of the contributor for the stock; and/or iv) other factors. According to one embodiment the payoff function may be designed such that certain desired characteristics are satisfied.
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Citations
23 Claims
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1. A computer-implemented method of scoring at least one contributor for the performance of the contributor'"'"'s recommendation with respect to a single stock, the method comprising:
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receiving, at a server, a user selection of a contributor from among a plurality of contributors; receiving, at the server, a user selection of a stock from among a plurality of stocks; executing a computer software program on the server to create a score for the contributor'"'"'s recommendation on the stock relative to a benchmark, the score being determined based on a payoff function that determines the score as a function of a plurality of factors, the factors comprising; i) a benchmark-relative return on the stock, wherein the benchmark-relative return of the stock is a return on the stock relative to a return on a benchmark that corresponds to the stock; and ii) the recommendation made by the contributor; wherein the payoff function for a neutral recommendation on the stock has a maximum score at a baseline benchmark-relative return, and wherein, for a single benchmark-relative return on the stock equal to the baseline benchmark-relative return, the score for a neutral recommendation determined according to the payoff function is greater than both the score determined according to the payoff function for a positive recommendation on the stock and the score determined according to the payoff function for a negative recommendation on the stock; and storing the score in one or more electronic storage media associated with the server. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A system for scoring at least one contributor for the performance of the contributor'"'"'s recommendation with respect to a single stock, the score for the recommendation depending on a plurality of factors, including the performance of the stock, the performance of a benchmark and the recommendation made by the contributor, the system comprising:
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a server configured to access, over a network, one or more electronic storage media storing information relating to stock performance, benchmark performance and contributor'"'"'s recommendations; an interface module implemented on the server through the execution of a computer software program, the interface module being configured to enable the server to receive selections of a user input through a remote terminal of a contributor from a plurality of contributors and of a stock from a plurality of stocks; and a processing section within the server configured to execute a computer software program to create a score for a recommendation of the selected contributor on the selected stock based on a payoff function, wherein the payoff function for a neutral recommendation on the stock has a maximum in score at a baseline benchmark-relative return on the stock, wherein the benchmark-relative return on the stock is a return on the stock relative to a return on a benchmark that corresponds to the stock, and wherein, for a single benchmark-relative return on the stock equal to the baseline benchmark-relative return, the score for a neutral recommendation determined according to the payoff function is greater than both of the score determined according to the payoff function for a positive recommendation on the stock and the score determined according to the payoff function for a negative recommendation on the stock. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23)
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Specification