State Street Global Markets, the investment research and trading arm of State Street, has launched its Turbulence Indices, a suite of indices that measure the unusualness, or turbulence, of market behaviour on a daily basis.
The indices aim to help investors stress test their investment strategies, build more versatile portfolios and scale risk exposure.
They cover US and European equities, currency, US fixed income and global asset classes.
Each index provides a single, daily measure of turbulence based on the abnormality of its constituents’ returns on that day.
Unusualness and abnormality can result from extreme events that move volatility up or down or from a sudden change in correlation between assets. This can be particularly effective in managing portfolio risk, because the relative turbulence of a given day can result from the unusual performance of a single asset or from the extraordinary interaction between a combination of assets, which would not appear unusual in isolation.
"One of the most valuable lessons learned over the last few years of market turbulence is that traditional portfolio construction techniques cannot comprehensively assess the full amount of risk inherent in a portfolio," says Will Kinlaw, managing director and head of portfolio and risk management research at State Street Global Markets. "State Street’s Turbulence Indices go a step further from traditional volatility measures by identifying periods in which assumptions about correlations between investments — as well as their volatilities — should be revisited. The Turbulence Indices can be used alongside other measures of volatility to better manage current portfolios and prepare for additional instability in the market."
Institutional investors can use the indices to stress test their current financial models by assessing the performance of the model under extreme conditions.
The indices can also help portfolio managers to build resilient portfolios that can better withstand extreme market conditions.
In addition, asset managers can use the index to scale risk exposure. Standard models do not typically take extended periods of market turbulence into account and since turbulence has historically proven to be persistent once it strikes, it is possible to predict patterns of turbulence and design a strategy to better manage returns by scaling risk exposure to the affected assets.