Economic and Statistical Analysis of Stock Market Performance in Lebanon

N. V. Agabekova, A. N. Abdo
{"title":"Economic and Statistical Analysis of Stock Market Performance in Lebanon","authors":"N. V. Agabekova, A. N. Abdo","doi":"10.31767/su.1(92)2021.01.08","DOIUrl":null,"url":null,"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. \nLebanese 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. \nThe 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","PeriodicalId":52812,"journal":{"name":"Statistika Ukrayini","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistika Ukrayini","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31767/su.1(92)2021.01.08","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

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
黎巴嫩股市表现的经济与统计分析
金融过程分析是统计学中一个重要且发展迅速的分支。统计分析是一种组合分析。统计方法论是指旨在研究社会经济现象的动态和关系的定量模式的技术和方法体系。统计方法的主要特点也是研究的特殊性,表现为定量分析与在具体的地点和时间历史条件下确定对象的定性唯一性之间不可分割的联系。数理统计技术和其他数学分支(特别是应用数学)的使用成为一种技术手段。黎巴嫩股市今天不活跃,正在萎缩。从历史上看,黎巴嫩在中东的资本市场相对活跃,但由于内战(1975年至1995年),证券交易所关闭了20年。自1996年重新开放以来,股市一直在收缩。20世纪90年代末Solidere的成立和商业银行的复兴在股市波动之前为股市注入了一段时间的活力。文章分析了2012年至2019年期间黎巴嫩股市主要指标的变化。该研究开发了一个时间序列分解的统计模型,用于识别趋势、季节性、周期性和随机成分。。模拟结果使我们能够确定代表黎巴嫩经济建筑、工业和银行部门的三家领先企业的股价变化模式。测量了所研究指标时间序列中短周期周期的长度和深度。研究发现,在经济和政治进程的影响下,周期性波动的深度随着黎巴嫩建筑和工业企业股价的下跌而增加,而银行部门股价的周期性复发则不那么明显,主要由经济变化决定
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
10
审稿时长
12 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信