Modeling and Estimation of Cumulative Abnormal Return using VECM

Sri Ambarwati, Eka Sudarmaji, Herlan Masrio, Ismiriati Nasip
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Abstract

This paper examined how firm-level idiosyncratic risk varies over time. It affected initial public offering (IPO) in the presence of pump-and-dump and flipping trends during the early trading of IPO stocks in the Indonesia Stock Exchange. The paper used the IPO data taken from 181 companies during the year 2015-2019. It revisited the relationship between Cumulative Abnormal Return thirty-days (CAR30D) and Cumulative Abnormal Return five-days (CAR5D) and the Characteristics (IPO Floating shares, IPO Fund and Price) and Macroeconomics Condition (Inflation rate). It also used the cointegration analysis and VECM model. The paper found that Both LnFloat and LnPrice had causal evidence in the long-run causality or short-run with Cumulative Abnormal Return thirty days (CAR30D). We also noted that idiosyncratic risk exposure depends on IPO characteristics. It was crucial for firms going public in hot-issue markets, undervalued IPOs, and high idiosyncratic-risk issues. The model suggested that those series should cointegrate firstly. However, the variable of LnIPOFund had causal evidence in the short-run causality only.
基于VECM的累积异常收益建模与估计
本文考察了公司层面的特质风险如何随时间变化。在印尼证券交易所首次公开募股(IPO)股票的早盘交易中存在抽投和翻转趋势,影响了首次公开募股(IPO)。该论文使用了2015-2019年期间来自181家公司的IPO数据。重新考察了30天累积异常收益(CAR30D)和5天累积异常收益(CAR5D)与特征(IPO流通股、IPO基金和价格)与宏观经济条件(通货膨胀率)之间的关系。并采用协整分析和VECM模型。本文发现,无论是长期因果关系,还是短期累积异常收益30天(CAR30D)的因果关系,LnFloat和LnPrice都存在因果证据。我们还注意到,特殊风险敞口取决于IPO的特点。对于在热点市场、被低估的首次公开募股和高特殊风险发行的公司来说,这是至关重要的。该模型建议这些序列应首先协整。而LnIPOFund变量仅在短期因果关系上具有因果证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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