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Market volatility of banking stock return vis-à-vis banks merger: An application of GARCH model

机译:相对于银行合并的银行股票收益率市场波动:GARCH模型的应用

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The objective of this research was to investigate the effects caused by the announcement of mergers of SBI and its associate banks i.e. State Bank of Bikaner and Jaipur (SBBJ), State Bank of Hyderabad (SBH), State Bank of Mysore (SBM), State Bank of Patiala (SBP) and State Bank of Travan-core (SBT) with State Bank of India on the volatility of the return of SBI stock during the event window of 300 days. In order to achieve the proposed objective, this study applied Generalized autoregressive conditional heteroscedasticity (Garch) class model to the return series to model their volatility because it is considered an important tool for time series data analysis. Our results confirmed the impact of the announcement of Merger on volatility. The results suggest that merger announcement was expected to cause a reaction in the returns, which is related to higher abnormal return in lesser time through merger announcement for investors.
机译:这项研究的目的是调查宣布SBI及其关联银行(即Bikaner和Jaipur国家银行(SBBJ),海得拉巴国家银行(SBH),迈索尔国家银行(SBM),州立银行)合并所造成的影响。 Patiala银行(SBP)和Travan-core国家银行(SBT)与印度国家银行就300天事件窗口内SBI股票收益的波动性进行了讨论。为了实现该目标,本研究将广义自回归条件异方差(Garch)类模型应用于收益序列以对其波动率建模,因为它被认为是时间序列数据分析的重要工具。我们的结果证实了合并公告对波动性的影响。结果表明,预计合并公告会引起收益的反应,这与通过合并公告在较短时间内为投资者带来更高的异常收益有关。

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