Risk and Return in Transportation and Other US and Global Industries

  • Manolis G. Kavussanos
  • Stelios N. Marcoulis

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Manolis G. Kavussanos, Stelios N. Marcoulis
    Pages 1-42
  3. Manolis G. Kavussanos, Stelios N. Marcoulis
    Pages 43-65
  4. Manolis G. Kavussanos, Stelios N. Marcoulis
    Pages 66-74
  5. Manolis G. Kavussanos, Stelios N. Marcoulis
    Pages 75-92
  6. Manolis G. Kavussanos, Stelios N. Marcoulis
    Pages 93-105
  7. Manolis G. Kavussanos, Stelios N. Marcoulis
    Pages 106-117
  8. Manolis G. Kavussanos, Stelios N. Marcoulis
    Pages 118-127
  9. Manolis G. Kavussanos, Stelios N. Marcoulis, Angelos G. Arkoulis
    Pages 128-140
  10. Manolis G. Kavussanos, Stelios N. Marcoulis
    Pages 141-162
  11. Back Matter
    Pages 163-174

About this book

Introduction

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.

Keywords

Portfolio asset pricing asset pricing model transportation

Authors and affiliations

  • Manolis G. Kavussanos
    • 1
  • Stelios N. Marcoulis
    • 1
    • 2
  1. 1.City University Business SchoolLondonUK
  2. 2.Laiki InvestmentsCyprus Popular Bank GroupNicosiaCyprus

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4757-6441-3
  • Copyright Information Springer-Verlag US 2001
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4419-4892-2
  • Online ISBN 978-1-4757-6441-3
  • About this book