NBER Publications by Zhi Da
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| April 2009 | CAPM for Estimating the Cost of Equity Capital: Interpreting the Empirical Evidence
with Re-Jin Guo, Ravi Jagannathan: w14889
We argue that the empirical evidence against the Capital Asset Pricing Model (CAPM) based on stock returns does not invalidate its use for estimating the cost of capital for projects in making capital budgeting decisions. Since stocks are backed not only by projects in place, but also the options to modify current projects and undertake new ones, the expected returns on stocks need not satisfy the CAPM even when expected returns of projects do. We provide empirical support for our arguments by developing a method for estimating firms' project CAPM-betas and project returns. Our findings justify the continued use of the CAPM by firms in spite of the mounting evidence against it based on the cross-section of stock returns. |
| December 2008 | Informed Trading, Liquidity Provision, and Stock Selection by Mutual Funds
with Pengjie Gao, Ravi Jagannathan: w14609
We show that a mutual fund's "stock selection skill" computed using the Daniel, Grinblatt, Titman and Wermers (1997) procedure can be decomposed into additional components that include impatient "informed trading" and "liquidity provision," thereby helping us understand how a fund creates value. We validate our method by verifying that liquidity provision is the dominant component of selection skill for Dimensional Fund Advisors U.S. Micro Cap fund, as observed by Keim (1999). Index funds lose on liquidity absorbing trades, since they pay the price impact on trades triggered by index rebalancing, inflows and redemptions. Consistent with the view that a mutual fund manager with superior stock selection ability is more likely to benefit from trading in stocks affected by information events, ... |
| November 2007 | When Does a Mutual Fund's Trade Reveal its Skill?
with Pengjie Gao, Ravi Jagannathan: w13625
We conjecture that a mutual fund manager with superior stock selection ability is more likely to benefit from trading in stocks affected by information-events. Taking the probability of informed trading (PIN, Easley, Kiefer, O'Hara, and Paperman, 1996) to measure the amount of informed trading in a stock, and inferring mutual fund trades from a large sample of mutual fund holdings, we provide empirical support for the conjecture. Funds trading high-PIN stocks exhibit superior performance on average, and superior performance that is more likely to persist. The findings are not due to price momentum or the higher returns earned by high-PIN stocks on average. Conclusions remain the same after testing for alternative measures for the amount of informed trading. Decomposing a fund's stock selec... |
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