Reassessing the Long-Run Abnormal Performance of Jordanian IPOs: An Event Study Approach

IF 0.4 Q4 MANAGEMENT Foundations of Management Pub Date : 2023-01-01 DOI:10.2478/fman-2023-0011
Fawaz Khalid Al Shawawreh
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Abstract

Abstract This paper examines and reviews the fundamental challenges that academicians face when using the event study methodology to assess the long-term consequences of financial events on the economy and to describe market reactions. Numerous studies have demonstrated that businesses can experience abnormal returns from 1 to 5 years after major financial events. Also, this paper investigates the long-run price performance of initial public offerings (IPOs) in Amman Stock Exchange (ASE). The sample period expands from 2018 to 2022. Various findings are obtained by employing several analytical methods. First, long-run price performance of IPOs is negative, and a strong evidence shows that the long-run performance is sensitive to the benchmark employed. To assess the long-term performance of IPOs, I used both cumulative abnormal returns (CAR) and buy-and-hold abnormal returns (BHAR) as aggregated models. I explained the methodology which is adopted in this study in detail for the event–time approach. However, I used the crucial values for the skewness-adjusted t-statistic to infer statistical tests. Even though BHAR provided weaker results, all methods indicated negative long-run abnormal returns for IPOs. Yet this performance varied when comparing the performance utilizing ASEI, Fama–French three-factor (FF3F), and matching firm (MF) as benchmarks.
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重新评估约旦ipo的长期异常表现:一个事件研究方法
摘要本文考察和回顾了学者们在使用事件研究方法评估金融事件对经济的长期影响和描述市场反应时所面临的基本挑战。大量研究表明,在重大金融事件发生后的1 - 5年内,企业可能会出现异常回报。此外,本文还研究了安曼证券交易所(ASE)首次公开募股(ipo)的长期价格表现。样本周期从2018年扩大到2022年。采用几种分析方法得到了不同的结果。首先,ipo的长期价格表现为负,并且有强有力的证据表明,长期表现对所采用的基准很敏感。为了评估ipo的长期表现,我使用了累积异常回报(CAR)和买入并持有异常回报(BHAR)作为汇总模型。我详细解释了本研究中采用的事件时间方法。然而,我使用偏度调整t统计量的关键值来推断统计检验。尽管BHAR提供的结果较弱,但所有方法都表明ipo的长期异常回报为负。然而,当使用ASEI、Fama-French三因子(FF3F)和匹配公司(MF)作为基准进行比较时,这种表现有所不同。
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CiteScore
2.20
自引率
0.00%
发文量
5
审稿时长
12 weeks
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