ANALYSIS OF THE BEHAVIOR OF THE STOCK MARKET IN FOOTBALL CLUBS

被引:0
作者
Dantas, Marke Geisy [1 ]
Boente, Diego Rodrigues [2 ]
机构
[1] Univ Fed Rio Grande do Norte, Natal, RN, Brazil
[2] Univ Fed Rio Grande do Norte, Dept Ciencias Contabeis CCSA, Natal, RN, Brazil
来源
REVISTA AMBIENTE CONTABIL | 2010年 / 2卷 / 02期
关键词
Stocks; Football teams; Volatility;
D O I
暂无
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This study aims at analyzing the behavior of the shares of football clubs in Europe according to some economic and statistical parameters for evaluation of the market. In the theoretical basis will be discussed a little history of this market as an alternative form of fundraising, and that good use of them can bring good results, both financial and sports. However, the behavior of the stock price of a football team can not be parsed as an entity. In addition, Dow Jones produces a stock index called STOXX (R) Football Europe Index, which analyzes these actions as a differentiated market. It is within this context that the study gains relevance. Concerning the methodological procedures, this research constitutes an exploratory study, showing an analysis of actions not found in the bibliography. Data collection took place in the finance sites (Yahoo Finance) that provides the stock price of some European clubs with the IPO. For the treatment of data was used EXCEL and SPSS statistical programs. The results show a great risk to the investor of these actions, with respect to volatility, the returns and standard deviations of monthly. It also shows that the beginning of the championship is the event among all the others that brings a greater variation in stock prices.
引用
收藏
页码:33 / 49
页数:17
相关论文
共 50 条
[41]   An artificial stock market [J].
R. G. Palmer ;
W. Brian Arthur ;
John H. Holland ;
Blake LeBaron .
Artificial Life and Robotics, 1999, 3 (1) :27-31
[42]   Emotions in the Stock Market [J].
Griffith, John ;
Najand, Mohammad ;
Shen, Jiancheng .
JOURNAL OF BEHAVIORAL FINANCE, 2020, 21 (01) :42-56
[43]   Investor Behavior and Risk Contagion in an Information-Based Artificial Stock Market [J].
Wu, Binghui .
IEEE ACCESS, 2020, 8 :126725-126732
[44]   The impact of the investors' trading behavior on the return and the volatility in the recent Korean stock market [J].
Khil, Jaeuk ;
Kim, Na Young ;
Sohn, Yong Se .
ASIA-PACIFIC JOURNAL OF FINANCIAL STUDIES, 2006, 35 (03) :77-106
[45]   Stock Market Volatility and Return Analysis: A Systematic Literature Review [J].
Bhowmik, Roni ;
Wang, Shouyang .
ENTROPY, 2020, 22 (05)
[46]   LITHUANIAN STOCK MARKET ANALYSIS USING A SET OF GARCH MODELS [J].
Teresiene, Deimante .
JOURNAL OF BUSINESS ECONOMICS AND MANAGEMENT, 2009, 10 (04) :349-360
[47]   Analysis of the efficiency-integration nexus of Japanese stock market [J].
Rizvi, Syed Aun R. ;
Arshad, Shaista .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2017, 470 :296-308
[48]   Twitter sentiment and stock market: a COVID-19 analysis [J].
Katsafados, Apostolos G. ;
Nikoloutsopoulos, Sotirios ;
Leledakis, George N. .
JOURNAL OF ECONOMIC STUDIES, 2023, 50 (08) :1866-1888
[49]   Analysis of the Stock Market Volatility and Its Spillover Effect in China [J].
Bu, Xu .
PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON INNOVATION AND MANAGEMENT, 2011, :1179-1182
[50]   Stock Market: Statistical Analysis Of its Indexes and Its constituents [J].
Singh, Priyanshi ;
Thakral, Abha .
PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON SMART TECHNOLOGIES FOR SMART NATION (SMARTTECHCON), 2017, :962-966