Stock Returns and Volatility: Comparative Investigation from SAARC Countries

被引:0
|
作者
Ahmad, Nawaz
Ahmed, Rizwan Raheem
Streimikiene, Dalia [2 ]
Streimikis, Justas [3 ,4 ]
Raza Ul Mustafa, Ahmad [1 ]
机构
[1] Shaheed Benazir Bhutto Univ, Dept Business Adm, Shaheed Benazirabad 67450, Sindh, Pakistan
[2] Lithuanian Sports Univ, Inst Sport Sci & Innovat, Sporto Str 6, LT-4422 Kaunas, Lithuania
[3] Lithuanian Ctr Social Sci, Inst Econ & Rural Dev, A Vivulskio g 4A-13, LT-03220 Vilnius, Lithuania
[4] Univ Econ & Human Sci Warsaw, Okopowa 59, PL-01043 Warsaw, Poland
关键词
Stock return; Volatility; GARCH Effect; ARCH Effect; Mean; Reversion; SAARC Countries; MEAN REVERSION; RISK; STRATEGIES;
D O I
10.46544/AMS.v29i2.09
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
This research article analyses the stock return and volatility of three focusing on the role of natural resources in influencing market performance. This study aims to determine the robustness of the performance, considering the economic significance of these countries' natural resources. The daily data from the PSX 100 index and DSE index (Dhaka Stock Exchange) for the years 2019 to 2021 has been obtained from their websites. The data is treated in MS Excel to compute the daily Geometric Returns for BSE, PSX, and DSE indices. Furthermore, the data were analyzed using the specialized package EViews for Time Series Graph, Descriptive Statistics, Unit Root Test, and GARCH Model. The findings of this research show that the BSE index has the highest return value of 6.78 percent compared with 4.56 percent and 3.75 percent for DSE and PSX, respectively. The Half-life model has been applied to calculate the volatility observed by the indices. The result shows that BSE is the most volatile and takes the highest time of 45 days to revert to its mean position, followed by PSX and DSE, which take 19 and 10 days, respectively. Therefore, investing in the BSE index is better for risk-lover investors. At the same time, DSE has the fastest mean reversion compared to the other two indices. Therefore, it is feasible for risk-averse investors.
引用
收藏
页码:343 / 352
页数:10
相关论文
共 50 条
  • [41] Long memory in the volatility of China stock returns
    Zhu, Shiyou
    Lee, Min-Hwan
    Hwang, Kyu Sun
    CHINA ECONOMIC JOURNAL, 2010, 2 (03) : 313 - 323
  • [42] Stock market volatility and regime shifts in returns
    Chu, CSJ
    Santoni, GJ
    Liu, T
    INFORMATION SCIENCES, 1996, 94 (1-4) : 179 - 190
  • [43] Sources of volatility in stock returns in emerging markets
    Caner, S
    Önder, Z
    APPLIED ECONOMICS, 2005, 37 (08) : 929 - 941
  • [44] Stock returns, velocity dynamics and inflation volatility
    Yuhn, Ky-Hyang
    Kim, Sang Bong
    McCown, James Ross
    EUROPEAN JOURNAL OF FINANCE, 2018, 24 (18): : 1755 - 1771
  • [45] Intraday volatility and periodicity in the Malaysian stock returns
    Haniff, Mohd Nizal
    Pok, Wee Ching
    RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE, 2010, 24 (03) : 329 - 343
  • [46] Interaction of volatility and autocorrelation in foreign stock returns
    Booth, GG
    Koutmos, G
    APPLIED ECONOMICS LETTERS, 1998, 5 (11) : 715 - 717
  • [47] Multi-factor volatility and stock returns
    He, Zhongzhi
    Zhu, Jie
    Zhu, Xiaoneng
    JOURNAL OF BANKING & FINANCE, 2015, 61 : S132 - S149
  • [48] Idiosyncratic volatility and stock returns: Indian evidence
    Aziz, Tariq
    Ansari, Valeed Ahmad
    COGENT ECONOMICS & FINANCE, 2018, 5 (01):
  • [49] Forecasting stock returns with industry volatility concentration
    Zhang, Yaojie
    He, Mengxi
    Zhang, Zhikai
    JOURNAL OF FORECASTING, 2024, 43 (07) : 2705 - 2730
  • [50] Seasonality in stock returns and volatility: The Ramadan effect
    Seyyed, Fazal J.
    Abraham, Abraham
    Al-Hajji, Mohsen
    RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE, 2005, 19 (03) : 374 - 383