MODEL OF STOCK CLASSIFICATION ON FRONTIER CAPITAL MARKET OF BOSNIA AND HERZEGOVINA

被引:0
|
作者
Okicic, Jasmina [1 ]
Unkic, Nahid [1 ,2 ]
机构
[1] Univ Tuzla, Fac Econ, Tuzla, Bosnia & Herceg
[2] Gradmont Doo, Donje Ledenice, Bosnia & Herceg
关键词
classification; stocks; frontier capital market; Bosnia and Herzegovina; TECHNICAL TRADING RULES; PORTFOLIO SELECTION; NEURAL-NETWORK; RETURNS;
D O I
暂无
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Although there has been extensive research into the empirical and theoretical aspects of stock classification, most of these studies have focused almost exclusively on the well-developed stock markets. Due to its many specifies, such aslow market capitalization, poor liquidity and turnover, missing data and so on, stock classification in case of frontier capital markets can be challenging. One of the criteria for stock classification is liquidity which can be defined as ability to buy or sell significant quantities of a stock quickly, anonymously, and with minimal or no impact on price. Therefore, this paper is designed to explain basic discriminatory variables between highly liquid and liquid stocks traded on the frontier capital market of Bosnia and Herzegovina. As a representative of highly liquid stocks we will use constituents of the Bosnian traded index (BATX) which is made up of the most actively traded and highest capitalized stocks at the Sarajevo and Banja Luka Stock Exchange. As a representative of the liquid stocks constituents of two indices, SASX-30 and BIRS will be used. Based on the fundamental and market variables, stock classification will be done by using discriminant analysis. These variables will be measured by liquidity, profitability, activity and debt ratios, P/E ratio and EPS. Expected results will provide valuable information in decision making of individual and institutional investors.
引用
收藏
页码:715 / 727
页数:13
相关论文
共 50 条
  • [41] Total Mercury Levels in Commercial Fish in Market of the Republic of Srpska, Bosnia and Herzegovina
    Mirjana Djermanovic
    Ivana Baralic
    Snezana Pejic
    Biological Trace Element Research, 2020, 194 : 545 - 551
  • [42] Stochastic Frontier Model Approach for Measuring Stock Market Efficiency with Different Distributions
    Hasan, Md. Zobaer
    Kamil, Anton Abdulbasah
    Mustafa, Adli
    Baten, Md. Azizul
    PLOS ONE, 2012, 7 (05):
  • [43] A Research of China Stock Market by Capital-Asset Pricing Model
    ZHAN Yuanrui LU Lining Management Institute Tianjin University
    Journal of Systems Science and Systems Engineering, 1997, (03) : 51 - 55
  • [44] Testing of Capital Asset Pricing Model in Resent UK Stock Market
    Zeng, Hui
    2015 4th International Conference on Social Sciences and Society (ICSSS 2015), Pt 3, 2015, 72 : 457 - 461
  • [45] Manufacturing Capital Lingers in the Stock Market
    吴程涛
    段铸
    张景宇
    张曙光
    China Economist, 2008, (03) : 20 - 28
  • [46] The Stock market, Credit and Capital formation
    Mitra, R. N.
    SANKHYA, 1943, 6 : 337 - 338
  • [47] The Stock Market, Credit and Capital Formation
    Neisser, Hans
    ANNALS OF THE AMERICAN ACADEMY OF POLITICAL AND SOCIAL SCIENCE, 1941, 213 : 230 - 230
  • [48] Calculating the Efficient Frontier for the Portuguese Stock Market
    Garcia M.T.M.
    dos Santos Borrego D.A.B.
    International Advances in Economic Research, 2018, 24 (4) : 339 - 349
  • [49] The stock market, credit and capital formation
    Burtchett, F. F.
    AMERICAN ECONOMIC REVIEW, 1940, 30 (04): : 876 - 876
  • [50] The stock market, credit and capital formation
    Cogen, Charles
    AMERICAN ECONOMIC REVIEW, 1940, 30 (03): : 590 - 590