We use the financial crisis of 2007-2009 as a laboratory to examine the costs and benefits of teams versus single managers in asset management. We find that when a fund uses complex trading strategies involving the use of CDS team-managed funds outperform solo-managed funds. This may be due to...

We investigate the relationship between a mutual fund's variation in factor exposures and its future performance. Using a dynamic state space version of Carhart (1997)'s four factor model to capture factor variation, we find that funds with volatile factor exposures underperform funds with...

This study complements the scarce literature on conditional market timing in the mutual fund industry by assessing determinants of market timing throughout the distribution of market exposure. It builds on the intuition that the degree of responsiveness by fund managers to investigated factors...

Using quarterly data on IPOs and SEOs in 38 countries over the period 1995-2014, we show that changes in equity issuance are significantly and positively related to lagged changes in aggregate local market liquidity. This relation is at least as economically significant as the well-known...

Consider using the simple moving average (MA) rule of Gartley (1935) to determine when to buy stocks, and when to sell them and switch to the risk-free rate. In comparison, how might the performance be affected if the frequency is changed to the use of MA calculations? The empirical results show...

The paper investigates the effects of information asymmetry (between the realised return and the expected return) on market timing in the mutual fund industry. For the purpose, we use a panel of 1488 active open-end mutual funds for the period 2004-2013. We use fund-specific time-dynamic betas....

When investors commit capital to a private equity fund, the money is not immediately invested but is called by the fund manager throughout an investment period of up to five years. This business model allows private equity fund managers to invest the committed capital at their own discretion,...

We investigate the relationship between a mutual fund’s variation in systematic risk factor exposures and its future performance. Using a dynamic state space version of Carhart (1997)’s four factor model to capture risk factor variation, we find that funds with volatile risk factor exposures...

This paper examines real-time applications of quickest disorder detection techniques for timing stock markets. The focus is on the stochastic disorder model by Shiryaev, Zhitlukhin, and Ziemba (2014, 2015), Zhitlukhin and Ziemba (2016) and their optimal stopping rule. The model uses sequential...