Pre-tender
Published
Asset Liability Management (ALM) model procurement
31 Suppliers have already viewed this notice
Track & Win Public Sector Contracts and Tenders. Sign up for Free
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.
Personalised AI Summary
Unlock decision maker contacts.
Create a Free Account on Stotles
Stotles is your single source for government tenders, contracts, frameworks and much more. Sign up for free.
Explore similar pre-tenders, open or awarded contracts
Browse open tenders, recent contract awards and upcoming contract expiries that match similar CPV codes.
Hertfordshire County Council
–
Published 4 months ago
Explore top buyers for public sector contracts
Discover open tenders, contract awards and upcoming contract expiries of thousands of public sector buyers below. Gain insights into their procurement activity, historical purchasing trends and more.
CPV Codes
Sign up to the Stotles Tender Tracker for free
Find even more contracts with advanced search capability and AI powered relevance scoring.