Longer horizons lead to more investment

The impact that length of investment horizon has on pension funds’ allocations to illiquid assets was the subject of a new study by Dutch researchers. The authors, Dirk Broeders, Kristy Jansen and Bas Werker, looked at the asset allocation of 220 Dutch defined benefit pension funds from 2012-16.

They took liability duration as a proxy for investment horizon and found that up to a period of 17.5 years, a longer liability duration positively affects the illiquid asset allocation; after that, the positive correlation starts to decline.

The researchers attribute this to the liquidity and capital constraints to which pension funds are exposed.

The liquidity constraints on a pension fund consist of two components: short-run pension payments and collateral requirements on interest rate and currency derivatives.

As for capital constraints, defined benefit pension funds need to have sufficient capital to manage factors such as interest-rate risk, market risk, currency risk and longevity risk.

A pension fund’s liability duration shows the weighted average time to maturity of its pension payments. Having fewer short-term liabilities, as a fund would with a longer liability duration, creates opportunities to invest in illiquid assets.

Sponsored Content

However, a longer liability duration is also associated with a quadratic increase in interest-rate risk, which limits the opportunity to invest in illiquid assets, due to a higher capital requirement.

A pension fund can hedge risk exposures to reduce the capital requirement but hedging strategies using derivatives involve collateral requirements, which impose a liquidity constraint.

The authors also found other pension fund characteristics that affect investment policy. For example, size positively affects the allocation to illiquid assets. Also, corporate pension funds tend to invest less in illiquid assets than industry-wide and professional-group pension funds do.

To access the full paper click here

 

Leave a Comment

GIC, Temasek eye trillions of growth in climate adaptation market

GIC, Temasek eye trillions of growth in climate adaptation market

Singapore’s two largest asset owners, GIC and Temasek, see attractive opportunities in climate adaptation solutions – a relatively underfunded area compared to decarbonisation. The former has already made selective adaptation investments and said the opportunity set across public and private debt and equity could increase to $9 trillion by 2050.

Sort content by

The complex science of integrating impact into portfolio design

Incorporating impact into a risk/return framework creates additional dimensionality and significantly increasing the complexity of the portfolio design challenge. David Bell from The Conexus Institute explores the technical challenge of navigating the 3-D investment framework.

Kotkin: The risks of investing in China; Ukraine’s battle ahead

Stephen Kotkin, the John P Birkelund Professor in History and International Affairs, Princeton University, cites the many risks of investing in China.

Net zero alignment: Assign portfolio managers strict carbon budgets

A new paper outlines how investors can align their portfolio to science-based carbon budgets consistent with 1.5 degrees of warming.

The five characteristics of a future portfolio: CAIA

The traditional 60/40 portfolio allocation is no longer enough. The opportunity for alpha is not gone, but the low-hanging fruit has long been harvested, and the path toward higher absolute returns has gotten far more nuanced according to a new report from the Chartered Alternative Investment Analyst (CAIA)

Limited talent pool hits diversity

Asset owners increasingly encourage their asset managers to improve diversity, but both owners and managers report the need to grow diverse talent coming into the investment industry, according to recent research.

Finance model says Biden will win

Joe Biden will win the US election according to a technique used in finance to predict factor returns and the correlation of stock and bond returns. The technique, outlined in an MIT working paper, correctly predicted the past five elections, including 2016.

Previous