Abstract: Relating resources expended by a securities research entity to revenue received by a financial services firm including the securities research entity. A computer system may receive account revenue data indicative of revenue received by the financial services firm from a first customer investment account for at least securities trade execution by the financial services firm for the first customer investment account. The computer system may also receive account expense data indicative of expenses incurred by the securities research entity on behalf of the first customer investment account. The computer system may determine a market condition-adjusted elasticity for the first customer investment account.

Abstract: Relating resources expended by a securities research entity to revenue received by a financial services firm including the securities research entity. A computer system may receive account revenue data indicative of revenue received by the financial services firm from a first customer investment account for at least securities trade execution by the financial services firm for the first customer investment account. The computer system may also receive expense data indicative of expenses incurred by the securities research entity on behalf of the first customer investment account. The computer system may determine a market condition-adjusted elasticity for the first customer investment account.

Abstract: Computer-based systems and methods that determine interest profiles of contacts of work product. The contact interest profiles may indicate the contacts' interests in particular topics of research work product and/or analyst teams within the research department that produced the research work product. The contacts' interest profiles may be determined based on research work product accessed by the contacts according to topic and/or analyst team that produced the research work product, the interaction of the contacts with the research department, and any other reliable information indicative of the contacts' topic and/or team interests. Also, research work product items produced by the entity may be rated for each contact based on, for example, the topic(s) of the research work product items and the analyst teams that produced the research work product items, as well as the contacts' topic and/or analyst team interests.

Abstract: Computer-based systems and methods for computing a score (a “target score”) for the contacts of a research department. The target score may be computed for each contact for each analyst team of the research department. The target score indicates how resources should be deployed by the research department to maximize revenue for the research department. The target score is computed based on a number of metrics. These metrics can include both analyst-team-specific contact metrics that relate to the contact-analyst team combination, as well as account metrics that pertain to the investment accounts associated with each of the contacts. Weights for the metrics may be determined using an optimization algorithm.

Abstract: Relating resources expended by a securities research entity to revenue received by a financial services firm including the securities research entity. A computer system may receive account revenue data indicative of revenue received by the financial services firm from a first customer investment account for at least securities trade execution by the financial services firm for the first customer investment account. The computer system may also receive account expense data indicative of expenses incurred by the securities research entity on behalf of the first customer investment account. The computer system may determine a market condition-adjusted elasticity for the first customer investment account.

Abstract: Methods of pricing non-execution services provided by a firm comprising an execution service provider and a non-execution service provider. The methods may comprise the steps of accruing a payment for execution and non-execution services from an external client and allocating a first portion of the payment to an execution service provider and a second portion of the payment to a non-execution service provider. The methods may also comprise the steps of calculating a cost of providing the non-execution services, and calculating a profit of the non-execution service provider considering the cost of providing the non-execution services and the second portion of the payment.

Abstract: Systems and methods for allocating limited resources of a securities research department to accounts of the department are disclosed. According to various embodiments, the system includes an account scoring module and a resource matching module. The account scoring module is for generating a score for each account, and the resource matching module is for matching the resources of the department to the accounts based on the scores for each account.

Abstract: Systems and methods for allocating limited resources of a securities research department to accounts of the department are disclosed. According to various embodiments, the system includes an account scoring module and a resource matching module. The account scoring module is for generating a score for each account, and the resource matching module is for matching the resources of the department to the accounts based on the scores for each account.

Abstract: Methods of pricing non-execution services provided by a firm comprising an execution service provider and a non-execution service provider. The methods may comprise the steps of accruing a payment for execution and non-execution services from an external client and allocating a first portion of the payment to an execution service provider and a second portion of the payment to a non-execution service provider. The methods may also comprise the steps of calculating a cost of providing the non-execution services, and calculating a profit of the non-execution service provider considering the cost of providing the non-execution services and the second portion of the payment.

Abstract: Methods and systems for auctioning units of securities research resources from a supplier of securities research services to potential consumers of the supplier's securities research are disclosed. According to various embodiments, the method includes the steps of receiving from a plurality of the potential consumers at least one bid for at least one unit of the securities research resources services of the supplier in at least one bidding stage, and allocating units of securities research resources services of the supplier to certain of the potential consumers (i.e., winning bidders) based on the received bids of the potential consumers. The units may be, for example, research time units of a research team of the supplier of the securities research. Also, the units may be a preferred service access level to a member of a research team of the supplier of the securities research.

Abstract: Methods and systems for auctioning units of securities research resources from a supplier of securities research services to potential consumers of the supplier's securities research are disclosed. According to various embodiments, the method includes the steps of receiving from a plurality of the potential consumers at least one bid for at least one unit of the securities research resources services of the supplier in at least one bidding stage, and allocating units of securities research resources services of the supplier to certain of the potential consumers (i.e., winning bidders) based on the received bids of the potential consumers. The units may be, for example, research time units of a research team of the supplier of the securities research. Also, the units may be a preferred service access level to a member of a research team of the supplier of the securities research.

Abstract: Methods and systems described herein may comprise determining, for each of a plurality of potential related companies, a correlation factor of a related company metric of the potential related company relative to a focal company metric and selecting at least one related company having a correlation factor relative to the focal company within a first range. The methods may also comprise displaying a focal company field listing an identifier of the focal company and displaying a correlation field listing identifiers for the at least one related company, where certain of the identifiers comprise a hyperlink. When one of the hyperlinks is activated, the company corresponding to the activated hyperlink may become the new focal company. The correlation field may list identifiers for at least one new related company having a related company metric with a correlation factor relative to the focal company metric of the new focal company within the first range.

Abstract: Methods for determining a range of fair value prices for equity research to be supplied by a sell-side firm to a buy-side firm. The range of fair value prices may be used, for example, to frame the discussions between the sell-side firm and the buy-side firm over the price of equity research supplied by the sell-side firm. For example, the parties may engage in discussion discussions as to which determined fair value price or prices are most appropriate to the parties' circumstances. A number of different pricing techniques are disclosed.

Abstract: Methods and systems for providing a user interface to a user may comprise finding a degree of similarity between each of a plurality of potential similar companies and a focal company. From the plurality of potential similar companies, at least one similar company may be selected having a degree of similarity with the focal company that is greater than a first threshold. An identifier of the focal company may be listed in a focal company field. Identifiers for the at least one similar company may be listed in a similar company field. Certain of the identifiers listed in the similar company field may include a hyperlink which, when activated by a user, causes a computer system to list the company corresponding to the activated hyperlink as a new focal company in the focal company field; determine at least one new similar company having a degree of similarity with the new focal company that is greater than the first threshold; and display the at least one new similar company at the similar company field.

Abstract: Methods and systems for auctioning units of securities research resources from a supplier of securities research services to potential consumers of the supplier's securities research are disclosed. According to various embodiments, the method includes the steps of receiving from a plurality of the potential consumers at least one bid for at least one unit of the securities research resources services of the supplier in at least one bidding stage, and allocating units of securities research resources services of the supplier to certain of the potential consumers (i.e., winning bidders) based on the received bids of the potential consumers. The units may be, for example, research time units of a research team of the supplier of the securities research. Also, the units may be a preferred service access level to a member of a research team of the supplier of the securities research.

Abstract: Methods and systems described herein may comprise determining, for each of a plurality of potential related companies, a correlation factor of a related company metric of the potential related company relative to a focal company metric and selecting at least one related company having a correlation factor relative to the focal company within a first range. The methods may also comprise displaying a focal company field listing an identifier of the focal company and displaying a correlation field listing identifiers for the at least one related company, where certain of the identifiers comprise a hyperlink. When one of the hyperlinks is activated, the company corresponding to the activated hyperlink may become the new focal company. The correlation field may list identifiers for at least one new related company having a related company metric with a correlation factor relative to the focal company metric of the new focal company within the first range.

Abstract: Methods and systems for providing a user interface to a user may comprise finding a degree of similarity between each of a plurality of potential similar companies and a focal company. From the plurality of potential similar companies, at least one similar company may be selected having a degree of similarity with the focal company that is greater than a first threshold. An identifier of the focal company may be listed in a focal company field. Identifiers for the at least one similar company may be listed in a similar company field. Certain of the identifiers listed in the similar company field may include a hyperlink which, when activated by a user, causes a computer system to list the company corresponding to the activated hyperlink as a new focal company in the focal company field; determine at least one new similar company having a degree of similarity with the new focal company that is greater than the first threshold; and display the at least one new similar company at the similar company field.

Abstract: Various embodiments are directed to interactive user interfaces that allow users to quickly and visually navigate the financial relationships between companies. In one embodiment, the interactive user interfaces may include a focal company field where a user can input an identifier for a focal company. The interfaces also include a focal company metric input field that allows the user to select a financial metric for the focal company. Using a related company metric input field, the user can select a related company metric to be correlated to the focal company metric. Based on the chosen metrics, a positive correlation field may list identifiers for companies whose related company metric is positively correlated to the focal company metric and a negative correlation field may list identifiers for companies whose related company metric is negatively correlated to the focal company metric.

Abstract: Interactive user interfaces that allow users to quickly and visually navigate the financial relationships between companies. In one embodiment, the interactive user interfaces may include a focal company field where a user can input an identifier for a focal company. The interfaces also include a focal company metric input field that allows the user to select a financial metric for the focal company. Using a related company metric input field, the user can select a related company metric to be correlated to the focal company metric. Based on the chosen metrics, a positive correlation field lists identifiers for companies whose related company metric is positively correlated to the focal company metric and a negative correlation field lists identifiers for companies whose related company metric is negatively correlated to the focal company metric.