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

Author:

Al Shawawreh Fawaz Khalid1ORCID

Affiliation:

1. Mutah University, Department of Banking and Finance , Al-Karak , JORDAN

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.

Publisher

Walter de Gruyter GmbH

Subject

Strategy and Management

Reference38 articles.

1. Adnan, A., Hossain, A., Adnan, A., Hossain, A.., 2016. Impact of M&A announcement on acquiring and target firm’s stock price: An event analysis approach. International Journal of Finance and Accounting, No. 5(5), pp.228-232.

2. Aktas, N., de Bodt, E., Cousin, J.-G., 2007. Event studies with a contaminated estimation period. Journal of Corporate Finance, No.13(1), pp.129-145. https://doi.org/10.1016/j.jcorpfin.2006.09.001

3. A. Craig MacKinlay, 1997. Event Studies in Economics and Finance, Journal of Economic Literature, 1997, vol. 35, Issue 1, pp.13-39.

4. Barber, B.M., Lyon, J.D., 1997. Detecting long-run abnormal stock returns: The empirical power and specification of test statistics. Journal of Financial Economics, No. 43, pp.341-372.

5. Binder, J., 1998. The event study methodology since 1969. Review of Quantitative Finance and Accounting, No. 11(2), pp.111-137. https://doi.org/10.1023/A:1008295500105

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3