Risk and Return in Transportation and Other US and Global Industries:
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 infer...
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| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer US
2001
|
| Ausgabe: | 1st ed. 2001 |
| Schlagworte: | |
| Online-Zugang: | BTU01 Volltext |
| Zusammenfassung: | 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 to repeat their actions, are known as random variables. For example, prices of shares in the stock exchange are determined at each point in time from the collective actions of agents operating in the market through their demand and supply decisions. The price of a share is thus a random variable, and so is the return of the share |
| Beschreibung: | 1 Online-Ressource (XVIII, 174 p) |
| ISBN: | 9781475764413 |
| DOI: | 10.1007/978-1-4757-6441-3 |
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| 520 | |a 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 to repeat their actions, are known as random variables. For example, prices of shares in the stock exchange are determined at each point in time from the collective actions of agents operating in the market through their demand and supply decisions. The price of a share is thus a random variable, and so is the return of the share | ||
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| discipline | Wirtschaftswissenschaften |
| discipline_str_mv | Wirtschaftswissenschaften |
| doi_str_mv | 10.1007/978-1-4757-6441-3 |
| edition | 1st ed. 2001 |
| format | Electronic eBook |
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| id | DE-604.BV046871504 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T15:15:35Z |
| indexdate | 2024-07-10T08:56:07Z |
| institution | BVB |
| isbn | 9781475764413 |
| language | English |
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| spelling | Kavussanos, Manolis G. Verfasser aut Risk and Return in Transportation and Other US and Global Industries by Manolis G. Kavussanos, Stelios Marcoulis 1st ed. 2001 New York, NY Springer US 2001 1 Online-Ressource (XVIII, 174 p) txt rdacontent c rdamedia cr rdacarrier 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 to repeat their actions, are known as random variables. For example, prices of shares in the stock exchange are determined at each point in time from the collective actions of agents operating in the market through their demand and supply decisions. The price of a share is thus a random variable, and so is the return of the share International Economics Regional/Spatial Science Industrial Organization International economics Regional economics Spatial economics Industrial organization Marcoulis, Stelios aut Erscheint auch als Druck-Ausgabe 9781441948922 Erscheint auch als Druck-Ausgabe 9780792373568 Erscheint auch als Druck-Ausgabe 9781475764420 https://doi.org/10.1007/978-1-4757-6441-3 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Kavussanos, Manolis G. Marcoulis, Stelios Risk and Return in Transportation and Other US and Global Industries International Economics Regional/Spatial Science Industrial Organization International economics Regional economics Spatial economics Industrial organization |
| title | Risk and Return in Transportation and Other US and Global Industries |
| title_auth | Risk and Return in Transportation and Other US and Global Industries |
| title_exact_search | Risk and Return in Transportation and Other US and Global Industries |
| title_exact_search_txtP | Risk and Return in Transportation and Other US and Global Industries |
| title_full | Risk and Return in Transportation and Other US and Global Industries by Manolis G. Kavussanos, Stelios Marcoulis |
| title_fullStr | Risk and Return in Transportation and Other US and Global Industries by Manolis G. Kavussanos, Stelios Marcoulis |
| title_full_unstemmed | Risk and Return in Transportation and Other US and Global Industries by Manolis G. Kavussanos, Stelios Marcoulis |
| title_short | Risk and Return in Transportation and Other US and Global Industries |
| title_sort | risk and return in transportation and other us and global industries |
| topic | International Economics Regional/Spatial Science Industrial Organization International economics Regional economics Spatial economics Industrial organization |
| topic_facet | International Economics Regional/Spatial Science Industrial Organization International economics Regional economics Spatial economics Industrial organization |
| url | https://doi.org/10.1007/978-1-4757-6441-3 |
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