CityU Institutional Repository >
3_CityU Electronic Theses and Dissertations >
ETD - Dept. of Economics and Finance >
EF - Doctor of Philosophy >
Please use this identifier to cite or link to this item:
|Title: ||Using earnings yield forecasts to perform an efficient asset allocation strategy|
|Other Titles: ||Ru he yun yong ying li l? yu ce zuo chu shi dang "zi chan diao pei" de tou zi ce l?e|
|Authors: ||Chow, Florence Wai-man (周慧敏)|
|Department: ||Department of Economics and Finance|
|Degree: ||Doctor of Philosophy|
|Issue Date: ||2007|
|Publisher: ||City University of Hong Kong|
|Subjects: ||Profit -- Forecasting.|
Asset allocation -- Econometric models.
|Notes: ||160 leaves : ill. 30 cm.|
Thesis (Ph.D.)--City University of Hong Kong, 2007.
Includes bibliographical references.
CityU Call Number: HG4028.P7 C46 2007
|Abstract: ||The aim of this study is to construct an earnings yield model for the asset allocation process using interest rate related and macro-economic factors. The model is applied in a country and an industry analysis. The results of the former are found to be significant for developed countries but not for certain Asian countries, where domestic factors are still found to be of vital importance. In contrast, the industry model performs better for Asian markets than for developed markets, working especially well for defensive sectors, such as the consumer staples, energy, utilities and telecom sectors. Both the country and industry models are re-tested by limiting the study period to a more recent five-year period and their efficiency improves greatly. This implies that the globalization effect is increasing, and has spread from the country to the industry level. The implication for investors is that they may need to look for alternative asset classes to diversify their portfolio risk.|
|Online Catalog Link: ||http://lib.cityu.edu.hk/record=b2268721|
|Appears in Collections:||EF - Doctor of Philosophy |
Items in CityU IR are protected by copyright, with all rights reserved, unless otherwise indicated.