Economic and Statistical Analysis of Stock Market Performance in Lebanon

  • N. V. Agabekova Educational Institution “Belarus State Economic University” https://orcid.org/0000-0002-4315-7177
  • A. N. A. Abdo Educational Institution “Belarus State Economic University”
Keywords: stock market, statistical analysis, decomposition of time series, short-period cycles, components of time series, Lebanese economy

Abstract

Analysis of financial processes is an important and fast developing branch of statistics. Statistical analysis is a combined analysis. Statistical methodology refers to a system of techniques and methods aimed at studying quantitative patterns in the dynamics and relationships of socio-economic phenomena. The main feature of the statistical methodology is also the specificity of research, expressed in the inextricable connection of quantitative analysis with the establishment of a qualitative uniqueness of objects in the concrete historical conditions of place and time. The use of the techniques of mathematical statistics and other branches of mathematics (applied, in particular) becomes a technical means of implementation.

Lebanese stock market today is inactive and is shrinking. Historically, Lebanon had a relatively vibrant capital market in the Middle East before the stock exchange was closed for twenty years due to the civil war (1975-1995). Since its reopening in 1996, the stock market has been contracting. The establishment of Solidere in late 1990s and the renaissance of commercial banks energized the stock market for a while before the volatility of the market hold back.

The article analyzed the change in the main indicators of the Lebanese stock market for the period from 2012 to 2019. The study developed a statistical model for the decomposition of time series, which was led to identify the trend, seasonal, cyclical and random components.. The simulation results made it possible to establish the patterns of changes in the share prices of the three leading enterprises representing the construction, industrial and banking sectors of the Lebanese economy. The length and depth of short-period cycles in the studied indicators time series were measured. It was found that the depth of cyclical fluctuations increases with decreasing stock prices of Lebanon’s construction and industrial enterprises under the influence of both economic and political processes, while the cyclic recurrence of stock prices in the banking sector was less pronounced and was mainly determined by changes in the economy

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References

Park, C. H., & Scott, H. I. (2007). What do we know about the profitability of technical analysis? Journal of Economic Surveys, Vol. 21, 786–826. Retrieved from https://doi.org/10.1111/j.1467-6419.2007.00519.x

Nguyen, T. H., Kiyoaki, S., & Julien V. (2015). Sentiment Analysis on Social Media for Stock Movement Prediction. Expert Systems with Applications, Vol. 42, 9603–9611. DOI: 10.1016/j.eswa.2015.07.052

Janssen, C., Langager, C., & Murphy, C. (2010). The Forex Market Tutorial. A division of Valueclick, Inc. Invesetopedia. Retrieved April 23, 2020 from http://investopedia.com

Ou, J. A., & Penman, S. H. (1989). Financial statement analysis and the prediction of stock return. Journal of Accounting and Economics, Vol. 11, 4, 295–329. Retrieved from https://doi.org/10.1016/0165-4101(89)90017-7

McDonald, M. (2011). Forex Simplified: Behind the Scenes of Currency Trading. (2nd ed.). USA: Marketplace Books.

Hu, Yo., Kang L., Xiangzhou, Z., Lijun, S., Ngai, E. W. T., & Mei, L. (2015). Application of evolutionary computation for rule discovery in stock algorithmic trading: A literature review. Applied Soft Computing, Vol. 36, Issue C, 534–551. Retrieved from https://doi.org/10.1016/j.asoc.2015.07.008

BDL STOCK IX (BDLSI). Investing.com. Retrieved from https://www.investing.com/indices/bdl-stock-ix

Murphy, J. (1999). Technical Analysis of the Financial Markets: A Comprehensive Guide to Trading Methods and Applications. New York: New York Institute of Finance.

Hsu, P. -H., & Taylor, M. P. (2013). Forty Years, Thirty Currencies and 21,000 Trading Rules: A Large-scale, Data-snooping Robust Analysis of Technical Trading in the Foreign Exchange Market. Retrieved from http://dx.doi.org/10.2139/ssrn.2517125

Bonga, W. G. (2015). The Need for Efficient Investment: Fundamental Analysis and Technical Analysis. Social Science Research Network. Retrieved from http://dx.doi.org/10.2139/ssrn.2593315

Brock, W., Lakonishok, J., & LeBaron, B. (1992). Simple Technical Trading Rules and the Stochastic Properties of Stock Returns. The Journal of Finance, Vol. 47, 5, 1731–1764. Retrieved from https://doi.org/10.2307/2328994

Hejase, A. J., El-Hokayem, J. S., Hejase, H. J. (2016). Technical analysis in practice: Exploring Lebanese Stock Market. The International Journal of Business and Management Research, Vol. 9, 1, 28–43. Retrieved from https://www.researchgate.net/publication/312032406_Technical_analysis_in_practice_Exploring_Lebanese_stock_market

Fu, T., Chung, F., Luk, R. W. P., & Chak-man, Ng. (2005). Preventing Meaningless Stock Time Series Pattern Discovery by Changing Perceptually Important Point Detection. Proceedings from Fuzzy Systems and Knowledge Discovery: Second International Conference (August 27–29). Changsha, China; Springer-Verlag Berlin Heidelberg. Part 1. Pp. 1171–1174. DOI:10.1007/11539506_146

Kabašinskas, А. (2007). Statistical analysis of financial markets and methods of statistical modeling. Candidate’s thesis. Vilnius. Retrieved from https://www.mii.lt/files/doc/lt/doktorantura/apgintos_disertacijos/mii_dis_san_2008_akabasinskas.pdf

Banerjee, D. (2014). Forecasting of Indian stock market using time series ARIMA model. Proceedings from Business and Information Management (ICBIM): 2nd International Conference (January 9–11). (pp. 131–135). DOI: 10.1109/ICBIM.2014.6970973

Site of Beirut Stock Exchange. Yearly Reports. www.bse.com.lb. Retrieved from http://www.bse.com.lb/Market/HistoricalData/YearlyBulletins/tabid/154/Default.aspx

Cœuré, B. (2015). The international role of the euro: concepts, empirics and prospects. Speech at Saint Joseph University, Beirut. October 2, 2015. ecb.europa.eu. Retrieved from https://www.ecb.europa.eu/press/key/date/2015/html/sp151002.en.html

Cromwell, J. B., Labys, W. C., & Terraza, M. (1994). Univariate Tests for Time Series Models. SAGE Publications. DOI: Retrieved from https://dx.doi.org/10.4135/9781412986458


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Published
2021-03-01
How to Cite
Agabekova, N. V., & Abdo, A. N. A. (2021). Economic and Statistical Analysis of Stock Market Performance in Lebanon. Statistics of Ukraine, 92(1), 75-84. https://doi.org/10.31767/su.1(92)2021.01.08