International Journal of Management and Applied Science (IJMAS)
.
Follow Us On :
current issues
Volume-10,Issue-1  ( Jan, 2024 )
Past issues
  1. Volume-10,Issue-1  ( Jan, 2024 )
  2. Volume-9,Issue-12  ( Dec, 2023 )
  3. Volume-9,Issue-11  ( Nov, 2023 )
  4. Volume-9,Issue-10  ( Oct, 2023 )
  5. Volume-9,Issue-9  ( Sep, 2023 )
  6. Volume-9,Issue-8  ( Aug, 2023 )
  7. Volume-9,Issue-7  ( Jul, 2023 )
  8. Volume-9,Issue-6  ( Jun, 2023 )
  9. Volume-9,Issue-5  ( May, 2023 )
  10. Volume-9,Issue-4  ( Apr, 2023 )

Statistics report
Apr. 2024
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 119
Paper Published : 5065
No. of Authors : 10504
  Journal Paper


Paper Title :
Using PLS Methodology For Understanding Commodity Market Behaviour And Improving Decision-Making Process

Author :Bernard Morard, Florentina Olivia Balu, Laura Obreja Brasoveanu

Article Citation :Bernard Morard ,Florentina Olivia Balu ,Laura Obreja Brasoveanu , (2016 ) " Using PLS Methodology For Understanding Commodity Market Behaviour And Improving Decision-Making Process " , International Journal of Management and Applied Science (IJMAS) , pp. 193-201, Volume-2,Issue-7

Abstract : After a long and unexpected financial crisis, a period of rapid growth in China and emerging markets, unstable commodity prices behavior, the commodity trading sector confronts a very different landscape, now. In this context, our paper aims to better anticipate commodity market behavior in order to help the commodity investors to improve their decision-making process. Using the PLS methodology (partial least square) and fundamental drivers of commodity market price behavior (macroeconomic and specific indicators), our research proposes to elaborate a rational model to better understand and predict the commodity market movements. Our selecting research methodologies enables to extract the most relevant factors, key drivers, of commodity market behavior and seem to be able to capture a substantial part of systemic market risk. Furthermore, we use bootstrap techniques to identify the optimal model for market behavior. Our results are validated using widely measures used in PLS literature such as: AVE and composite reliability for the outer model validation and R-square and redundancy index for the inner model validation. The empirical results, the path coefficients and the high reliability score, come to confirm the validity of the proposed PLS model and its contribution in assisting the governments and investors in their decision-making process to improve commodity market stability and efficiency. Key Words- commodity market behavior, key drivers, SEM, PLS model, crisis, decision making

Type : Research paper

Published : Volume-2,Issue-7


DOIONLINE NO - IJMAS-IRAJ-DOIONLINE-5109   View Here

Copyright: © Institute of Research and Journals

| PDF |
Viewed - 43
| Published on 2016-08-17
   
   
IRAJ Other Journals
IJMAS updates
IJMAS -THANK YOU ALL FOR CONTRIBUTING YOUR PAPER TO IJMAS MAY ISSUE. ALL AUTHORS ARE REQUESTED TO GET THEIR HARD COPY NOW.
The Conference World
Facebook

JOURNAL SUPPORTED BY