Investors are facing a strategic conundrum in a world of vast political, macroeconomic and market risks. In this environment, generating a better risk/return balance requires a deeper understanding of the sources of risk across asset classes and new data analysis techniques.
Asset allocation, effective portfolio design and dynamic management have always been powerful tools for battling volatile markets, but risk has come into even sharper focus lately. Economic growth is slowing, yields are low and stocks have taken several tumbles. Investors are looking for new ways to tackle risk.
From anthropology to politics, analysts in many fields have used cluster analysis to help decipher complex relationships for nearly 90 years. But investment firms are only beginning to discover the powerful applications for detecting unknown risks lurking in market behavior patterns.
Leading US CEOs recently pledged to redefine the role of the corporation in society. But will they make good on their promises? Responsible investors need a clear way to evaluate whether a company is really making progress by doing good for both society and investors.
Liquidity risk has grabbed headlines recently after several high-profile funds imploded. The hunt is on to find ways to manage liquidity risk and protect portfolios against further setbacks—but not all investors will be up to the task.