By Cheng-Few Lee

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Extra info for Advances In Quantitative Analysis Of Finance And Accounting (Advances in Quantitative Analysis of Finance and Accounting) Volume 6

Example text

In the second diagnostic, a sub-sample is randomly drawn from a sample of firm-years where the anomaly is present and statistically significant. Returns are then measured to the given hedge strategy in the sample. This process is repeated 1000 times (with replacement) to construct an empirical distribution of the hedge returns. Next, the returns obtained using the full sample are compared to the empirical distribution. To the extent that a given anomalousreturn finding is robust to sample selection issues, the documented hedge returns should be near the center of the empirical distribution.

Is greater than the return obtained in 992 of the 1,000 random samples. Stated differently, if 100 researchers were to independently draw samples and conduct investigations of the forecast-to-price anomaly, less than 1 of the 100 researchers would find returns as strong as those reported by Elgers et al. In sum, the evidence presented in Table 2 suggests that while there may indeed be a forecast-to-price anomaly, its magnitude depends critically upon which sample of firm-years is used in the estimation.

3. A Concave Quadratic Programming Model of the Marketing Strategy Problem In addition to the three limitations mentioned above, LPMS model assumes average profit per x i remains constant. 6 20 P. Y. Kim et al. , markets of imperfect competitions. As markets are gradually saturated for a given product or service (life cycle of a product), the unit profit would normally decrease. Gradual decay in profit as the market matures seems to be consistent with many empirical observations. Greater profit is normally expected and typically witnessed with a new product.