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Robert G. King 《Journal of Monetary Economics》1983,12(1):127-158
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Raymond King 《The Journal of Financial Research》1986,9(1):53-69
This research applies the options pricing model to the valuation of convertible bonds. A numeric algorithm is used to obtain theoretical values for a sample of 103 convertible bond issues. When market prices are compared with model valuations, the means are not significantly different, and 90 percent of model predictions are within 10 percent of market values. As a further test, the sample is divided on the basis of whether the model prices are (1) greater or (2) less than market prices. Returns are compared over a subsequent three-year holding period. The results indicate that without risk adjustment, the returns for the subsample identified by the model as “undervalued” (model prices exceed market prices) are significantly greater than returns for the subsample identified by the model as “overvalued” (market prices exceed model prices). 相似文献
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M.L. King 《Journal of econometrics》1981,17(1):51-66
This paper examines Durbin and Watson's (1950) choice of test statistic for their test of first- 0order autoregressive regression disturbances. Attention is focused on an alternative statistic, d'. Theoretical and empirical power properties of the d' test are compared with those of the Durbin-Watson test. The former is found to be locally best invariant while the latter is approximately locally best invariant. The d' test is also found to be more powerful than its counterpart against negative autocorrelation and for small values of the autocorrelation coefficient against positive autocorrelation. Selected bounds for significance points of d' are tabulated. 相似文献
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In this article we discuss and analyze the critical issues related to common method variance (CMV) that are particularly relevant to advertising research and recommend best practices for assessing the effects of CMV in this domain. Specifically, we cover the development of CMV as a domain-specific methodological concern and the underlying sources of CMV that are likely to operate in cross-sectional survey-based studies in the field of advertising. We discuss in detail the available procedural and statistical techniques that can be applied to control for and/or measure the effects of sources of CMV in a single study and across research domains. In addition, we provide a critical look at how these techniques have been employed in past research and make recommendations for future examinations of CMV in advertising research. 相似文献