We create a hypothetical scenario to study the role bond funds play in intensifying shocks to the financial system. Using data from 2018 and 2007, we find that bond funds play a larger role now than they did in the past.
How do Canadian corporate bond mutual funds meet investor redemptions? We revisit this question using decision tree and random forest algorithms. We uncover new patterns in the decisions made by fund managers: the interaction between a larger, market-wide term spread and relatively less-liquid holdings increases the probability that a fund manager will sell less-liquid assets (corporate bonds) to meet redemptions. The evidence also shows that machine learning algorithms can extract new knowledge that is not apparent using a classical linear modelling approach.
Mutual funds employ a host of tools to manage redemption run risk. However, our results suggest that Canadian corporate bond funds may be vulnerable to redemption runs, especially when they are less liquid and when market volatility is high.
When investors redeem their fund shares for cash, fixed-income fund managers can choose whether to draw on their liquid holdings or sell bonds in the secondary market. We analyze the liquidity-management decisions of Canadian corporate bond mutual funds, focusing on the strategies they use to meet investor redemptions.