Name
Abstract | ||
|---|---|---|
Nowadays, in the diversifying economic environment, investors need various ways to help them in taking the right decisions and maximize their returns within certain acceptable risk. This research paper incorporates data mining clustering techniques to assist investors in constructing a balanced portfolio in Abu Dhabi Securities Exchange (ADX). The study examines and analyses ADX trade market history for the year of 2015. An extensive analysis has been done for various combinations of pre-processing-clustering algorithm techniques. An unexpected conclusion was revealed from this research. It is believed that small markets such as Abu Dhabi's require different "clustering" treatment than the commonly applied ones for established markets such as New York Stock Exchange. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/978-3-319-99010-1_53 | PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT SYSTEMS AND INFORMATICS 2018 |
Keywords | DocType | Volume |
Data mining in stock markets,Clustering stock markets,Portfolio construction,Cluster performance evaluation,K-means,K-medoids | Conference | 845 |
ISSN | Citations | PageRank |
2194-5357 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Omar Alqaryouti | 1 | 1 | 1.04 |
| Tarek Farouk | 2 | 0 | 0.34 |
| Nur Siyam | 3 | 0 | 0.68 |