| 書目名稱 | Risk and Return in Transportation and Other US and Global Industries | | 編輯 | Manolis G. Kavussanos,Stelios N. Marcoulis | | 視頻video | http://file.papertrans.cn/831/830750/830750.mp4 | | 圖書封面 |  | | 描述 | The type of research methodologies used in analysing stock returns in the book is outlined in this technical chapter. The chapter begins with definitions of useful summary statistics, such as the mean, standard deviation, coefficient of variation, and their interpretation. Tests statistics for inferences on population means, proportions and differences of means, among others, are also presented. A summary of single equation regression techniques and the way these are applied through estimation and inference are outlined, focusing on the interpretation of standard output and diagnostic tests. The single equation methodology is then extended to multiple equation systems; the methods of Multivariate Least Square (MLSQ) of Seemingly Unrelated Regression Equations (SURE) are Regressions as well as those considered. Time series, ARlMA, models form also part of the discussion. This is a chapter, which is aimed at readers who are interested in understanding the technical background used in deriving results later in the book. 2.2. Summary Statistics for a set of Data A set of numbers which are generated by agents‘ actions in the market, and which can take different values if the agents were | | 出版日期 | Book 2001 | | 關鍵詞 | Portfolio; asset pricing; asset pricing model; transportation | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4757-6441-3 | | isbn_softcover | 978-1-4419-4892-2 | | isbn_ebook | 978-1-4757-6441-3 | | copyright | Springer Science+Business Media Dordrecht 2001 |
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