Research Article | OPEN ACCESS
Predictability of Foodstuff Stock Returns Using Financial Ratios in the UK and US Food Markets
1Tao Li, 1Fang Zhang, 2Haobo Zhang and 1Liquan Chen
1School of Economics and Management, North China Electric Power University, Beijing, 102206, China
2Cranfield University, Cranfield, Bedfordshire, MK43 0AL, United Kingdom
Advance Journal of Food Science and Technology 2016 5:336-342
Received: May 5, 2015 | Accepted: June 22, 2015 | Published: February 15, 2016
Abstract
For a long time, institutional investors and large individual investors devote their best efforts to attempt to obtain the abnormal returns from the food markets to be long term winners without taking too much risk. By applying historical data in the foodstuff stock food markets and statistical methods properly, it is possible for investors to succeed in distinguishing future winners and losers from each other. However, a large amount of studies hold the view that it is quite difficult for investors to beat the market in the long term. After all, the predictive foodstuff stock returns are already controversial and the reality is still far away from the predictions. This study attempts to analyze and predict foodstuff stock returns by processing and regressing the historical data in the UK and US foodstuff stock food markets.
Keywords:
Foodstuff stock returns, investment strategies, UK and US foodstuff stock,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2042-4876
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