The Analytics Stack
What is the Analytics Stack for asset allocation?
The Analytics Stack for Asset Allocation
Institutional investors face an enormous challenge when constructing portfolios. Asset allocation decisions are complex, even for seemingly simple questions such as how much risk to take, or whether to invest one asset class or region over another.
Strong analytical foundations are critical to consistently making rigorous, well-informed decisions. We refer to these foundations as the Analytics Stack. There are multiple layers of data and analytics that inform asset allocation decisions. These cover onboarding and managing data, constructing models and analytics, and generating the outputs that are used to make decisions.
At Allocation Strategy, our mission is to deliver a comprehensive, state-of-the-art analytics stack, that equips investors to solve their most complex allocation problems and build resilient, high-performing portfolios.
Components
Components of the Analytics Stack
Behind every well-run allocation process sits a constellation of data, models, and analytical tools. Each layer of the Analytics Stack is built to address a particular aspect of the asset allocation process.
Expected Return and Risk Analytics
Expected Returns
What are the returns from investing in equities, bonds, etc. for 1,5,...,10 years?
Portfolio Simulations
How do portfolio and liability outcomes change with different asset allocations?
Portfolio Construction Tools
Scenario Analysis
How does the portfolio perform given a new economic or market shock?
Risk Factors
What are the core return drivers and what are the portfolio exposures?
Tactical Allocation Analytics
Short-term Signals
How to adjust portfolios as market and economic conditions change?
Market-implied Pricing
What is priced into markets and how to build contrarian views?
Analytics Distribution & Infrastructure
Model Macro Portfolios
Pre-made resilient asset allocations tailored to specific investors
APIs and Data Delivery
Fast and efficient delivery of analytics to different users and systems.