Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
 
Articles by A. AlGhamdi
Total Records ( 2 ) for A. AlGhamdi
  M. Alrasheedi and A. Alghamdi
  Stock exchange index plays an important role in the financial structure of a country and control the up and own movement of price structures of various indexes for business decisions. It is important for business in the stock markets to have an idea about future stock price development. The main objective of this study was to compare the different classification methods for predicting the movement direction of Saudi stock exchange index-TASI (Tadawul All Share Index]. The study applied four classification methods namely Linear Discriminant Analysis (LDA), Logistic Regression (LR), Support Vector Machines (SVM) and Least Squares Support Vector Machines (LS-SVM) as classification methods to predict the movement direction (up or down) of Saudi Stock Exchange Index (TASI) called as Tadawul All Share Index from Aug 2006 to April 2013. The study included several publicly available financial data such as Dow Jones Index, closing price, opening price, SABIC trading volume, crude oil price and TASI as the independent variables. The study chose 5-fold cross validation out-of-sample hit rates to compare the performance. For all the methods, except LS-SVM, hit rates ranged between 61 and 63 and only slightly lower for a reduced set of independent variables . With a data set from April 2009 to April 2013, the hit rates were about 2% higher than the normal rates. Overall, the LR, LDA and SVMs performed well for the price index data used in the study.
  Y. Alattal , A. AlGhamdi and M. Alsharhi
  Spread and use of exotic honeybee subspecies into Saudi Arabia bear significant risk on the conservation of the indigenous honeybee Apis mellifera jemenitica. The fallout of imported honeybee on population structure and diversity of Apis mellifera jemenitica populations have been investigated using microsatellite markers. Results demonstrated high genetic diversity within the native honeybee population compared with other related subspecies. Through the Bayesian approach of microsatellite variations, two groups can be distinguished with high level of introgression between imported and native subspecies. High levels of introgression and Intensive hybridization entail urgent conservation strategy of the native honeybee to be implemented.
 
 
 
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility