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    Fundamentals and stock return in pharmaceutical companies: A panel data model of Iranian industry

    , Article Iranian Journal of Pharmaceutical Sciences ; Vol. 9, issue. 1 , 2014 , p. 55-60 Kebriaee-Zadeh, A ; Zartab, S ; Fatemi, S. F ; Radmanesh, R ; Sharif University of Technology
    Abstract
    Stock return is usually considered to be affected by firm's financial ratios as well as economic variables. Fundamental method assume that stock returns is not solely related to the stock market. Most result come from the company condition, industry situation and whole economy. In this paper, this relationship between stock return and fundamentals is studied using the data for 22 pharmaceutical companies in Tehran Stock Exchange over a 7 year period, and effective factors on stock return are investigated. Because of our data natural we used panel data model from econometric methods. The results show that 80 pecent of change in stock return can be explained with 9 fundamental variables... 

    School trip production modeling using an improved adaptive-network-based fuzzy inference system

    , Article ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference, Toronto, ON, 17 September 2006 through 20 September 2006 ; 2006 , Pages 1501-1506 ; 1424400945 (ISBN); 9781424400942 (ISBN) Shafahi, Y ; Abrishami, S. E. S ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2006
    Abstract
    Trip production has long been considered as a major element in trip demand estimation. Many models have been presented for this purpose. Models use socio-economic variables in order to predict trip production. This paper develops an Adaptive-Network-based Fuzzy Inference System (ANFIS) models to predict school trip production. ANFIS can construct an input-output mapping based on both human knowledge and stipulated input-output data pairs. In order to improve models' generalization capability, a heuristic algorithm is used to generate reasonable initial values for data loss in training data set. Models with different Membership Functions (MFs) were trained, validated and tested with real data...