Objective research and reviews to aid investing decisions
Can traders exploit irrational reactions to Jim Cramer's stock recommendations by viewers of CNBC's Mad Money? In their March 2006 paper entitled "Is the Market Mad? Evidence from Mad Money", Joseph Engelberg, Caroline Sasseville and Jared Williams measure the market's reaction to Mr. Cramer's buy recommendations. Using a sample of 246 initial recommendations made by Jim Cramer on Mad Money episodes between July 28, 2005 and October 14, 2005, as recorded by YourMoneyWatch.com, they conclude that:
The following chart, taken from the paper, shows the mean cumulative abnormal return (CAR) with a 95% confidence interval (CI) for the quartile of buy recommendations with the smallest market capitalizations. It shows that when Mr. Cramer issues a buy recommendation for a small stock, the price jumps immediately and then reverts over the next 12 trading days. In fact, price begins to rise abnormally on the broadcast date, suggesting the possibility of pre-broadcast leakage of the recommendations. For firms with larger capitalizations, the effects are less dramatic.

The next chart, also from the paper, shows the turnover ratio (volume compared to its pre-broadcast average) with a 95% confidence interval (CI) for the quartile of buy recommendations with the smallest market capitalizations. It shows that when Mr. Cramer issues a buy recommendation for a small stock, volume spikes dramatically. In fact, volume rises on the broadcast date, suggesting the possibility of pre-broadcast leakage of the recommendations. For firms with larger capitalizations, the effects are less dramatic.

In summary, the losers are the Mad Money viewers who buy recommended stocks at the open the next day. The winners are the market makers and arbitrageurs who sell the overpriced recommendations on day 1, and the traders who sell them on days 2 through 12.
The data suggest a hypothesis that some traders front-run Mad Money buy recommendations before the market closes on the dates of broadcast. Testing this hypothesis would require investigation of whether there are other events on the same dates that might systematically and positively affect the prices of these same stocks .
[See the response to this entry by Kevin Goldman, Vice President, Media Relations CNBC.]
For other research on stock market indicators, see: Blog Synthesis: Some Trading Indicators. See also Cramer Offers You His Protection?, a different kind of test, focusing on Jim Cramer's "Lightning Round" advice and Jim Cramer Deconstructed, which tests the accuracy of his broad market forecasts.