Trend Analysis of AU Small Finance Bank (AUSFB) and Equitas SFB

This research employs GARCH models to analyze the return patterns from Equitas Small Finance Bank (SFB) and AUSFB and establish patterns of volatility. Stock returns showed heteroskedasticity throughout the study period was found in this study. The mean returns were positive for both AUSFB and Equitas SFB over the study period. The GARCH model is very good at modeling volatility clustering; hence it was used. Therefore, findings from the model were faithful to real data. In fact, this demonstrated that stock prices have heteroscedasticity, which is in line with the use of the GARCH Model. This study revealed a significant temporal fluctuation characterized by low volatility intervals following high volatility intervals as well as vice versa. The dataset covered daily stock returns for Equitas SFB between November 2020 and May 2023 and AUSFB between July 2017 and May 2023. These results provide risk management insights as well as investment strategies that are practically useful for investors and finance professionals. Other studies can then investigate the use of other econometric models and adopt longer time periods or different market conditions. One potential limitation is its specific time periods studied and the concentration on only two equities.

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Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2024-08-08
DOI
https://doi.org/10.55267/iadt.07.14924
Primary Topic
Microfinance and Financial Inclusion
Type
article
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article

Trend Analysis of AU Small Finance Bank (AUSFB) and Equitas SFB

Satya Prakash Yamijala, Madhava Rao Kothapalli
Journal of Information Systems Engineering & Management
Microfinance and Financial Inclusion
article

Trend Analysis of AU Small Finance Bank (AUSFB) and Equitas SFB

Satya Prakash Yamijala, Madhava Rao Kothapalli
article en

Abstract

This research employs GARCH models to analyze the return patterns from Equitas Small Finance Bank (SFB) and AUSFB and establish patterns of volatility. Stock returns showed heteroskedasticity throughout the study period was found in this study. The mean returns were positive for both AUSFB and Equitas SFB over the study period. The GARCH model is very good at modeling volatility clustering; hence it was used. Therefore, findings from the model were faithful to real data. In fact, this demonstrated that stock prices have heteroscedasticity, which is in line with the use of the GARCH Model. This study revealed a significant temporal fluctuation characterized by low volatility intervals following high volatility intervals as well as vice versa. The dataset covered daily stock returns for Equitas SFB between November 2020 and May 2023 and AUSFB between July 2017 and May 2023. These results provide risk management insights as well as investment strategies that are practically useful for investors and finance professionals. Other studies can then investigate the use of other econometric models and adopt longer time periods or different market conditions. One potential limitation is its specific time periods studied and the concentration on only two equities.

Journal of Information Systems Engineering & ManagementVol. 9(3)
GITAM University (IN)
Openalex Percentile: Top 83%
Microfinance and Financial Inclusion
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