A side-by-side comparison of Los Angeles County Employees Retirement Association and Border to Coast Pensions Partnership across firm type, scale, strategy, and geography.
Los Angeles County Employees Retirement Association manages roughly 1.6× the assets of the other firm.
No overlapping asset classes — these firms operate in entirely separate markets.
| Los Angeles County Employees Retirement Association | Border to Coast Pensions Partnership | |
|---|---|---|
| Basics | ||
| Firm type | Public Pension Fund | Public Pension Fund |
| Country | USA - CA | United Kingdom |
| Founded | 1937 | 2018 |
| Firm age | 89 yrs | 8 yrs |
| Roles | Lp | Lp |
| Scale & AUM | ||
| AUM | $87.97B | GBP 55.4B |
| Market position | Large ($20–100B) | Large ($20–100B) |
| AUM ratio | 1.6× larger | |
| Strategy & Focus | ||
| Investment style | Multi-asset | Multi-asset |
| Diversification | Diversified | Broad |
Los Angeles County Employees Retirement Association is a public pension fund based in USA - CA, while Border to Coast Pensions Partnership is a public pension fund based in United Kingdom. This page compares their firm type, assets under management, strategies, and geographic focus.
By reported AUM, Los Angeles County Employees Retirement Association is larger ($87.97B vs GBP 55.4B).
| Asset classes |
| private equity, private credit, real estate, infrastructure |
| private equity, private credit, real estate, infrastructure, fixed income |
| Shared asset classes | 4: private equity, private credit, real estate, infrastructure |
| Geography | ||
| Geographic bias | North America | Europe |
| Regions | United States, North America, Europe, Asia | North America, Europe, Asia, Global |
| Shared geographies | North America, Europe, Asia | |
| Team | ||
| Total contacts | 0 | 10 |
| Team-to-AUM ratio | 0.0 per $B | 0.2 per $B |
| Network & Relationships | ||
| Connectivity | 8/100 | 35/100 |
| Network strength | 1/100 | 13/100 |
| Relationships | 1 | 5 |
| Relationship density | Low | Very high |
| Network maturity | Emerging | Emerging |
| Similarity | ||
| Overall similarity | 43% | |
| Asset class overlap | 80% | |
| Geography overlap | 80% | |