Asset Liability Management Model
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Source: Open Contracting Data Standard (OCDS)
Border to Coast offers investment propositions across Public and Private asset classes that deliver investment opportunities and management to our Partner Funds. As part of our strategic plan, we intend to expand our range of services for our Partner Funds. A key capability is to enable us to support Partner Funds with their SAA and Portfolio Construction decisions. Therefore, we aim to procure an
- Status
- Closed
- Location
- United Kingdom
- Updated
- 3 Nov 2026
- Source
- Open Contracting Data Standard (OCDS)
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Participants
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Status
Original status | complete |
Taiyo status | Closed |
Taiyo last update | 2026-11-03 |
Contact
| Not available for this record. |
Description
Description | Border to Coast offers investment propositions across Public and Private asset classes that deliver investment opportunities and management to our Partner Funds. As part of our strategic plan, we intend to expand our range of services for our Partner Funds. A key capability is to enable us to support Partner Funds with their SAA and Portfolio Construction decisions. Therefore, we aim to procure an Asset Liability Management (ALM) model to support the efficient implementation of these new capabilities. The ALM model will support evaluation of scheme investment strategy and risk management, strategic investment planning, asset allocation, and scenario analysis. The core functionalities and modules of the ALM are expected to include Economic Scenario Generator and Capital Market Assumptions, capable of accurate representation of Partner Funds underlying asset classes and investment strategies, stochastic ALM projections and stress testing, and comprehensive reporting modules. The ALM model will utilize the current scheme actuaries' liability data as input. The initial contract length will be 3 years with the option of two additional 3 year extensions (9 years in total). |
Location
Country | United Kingdom (UK) |
Source
Source | Open Contracting Data Standard (OCDS) |
URL |
More Details
Record type | Tender |
Article published date | 2026-03-16 |
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