Imam Nur Hidayat, Ilham Maulana, Mohammad Arif

Long term Covid-19 terhadap Pasar Saham di Indonesia

Introduction

Long term covid-19 terhadap pasar saham di indonesia. Telusuri dampak jangka panjang Covid-19 terhadap pasar saham Indonesia (IHSG). Penelitian menggunakan SEM-PLS menemukan pengaruh positif dari penyebaran pandemi pada kinerja IHSG.

Abstract

ABSTRAK Penelitian ini bertujuan meneliti pengaruh dari perkembangan penyebaran covid-19 di Indonesia terhadap pasar saham di Indonesia. Metode penelitian menggunakan data kasus baru dan kematian baru akibat covid-19, dan data penutupan dan Volume perdagangan IHSG yang kami kumpulkan dari periode tanggal 2 Maret sampai – 7 Januari 2021. Data tersebut kemudian kami uji menggunakan structure equation modeling (SEM) Partial Least Square (PLS) dengan bantuan aplikasi WarpPLS 7.0. Dalam penelitian ini kami temukan bahwa penyebaran Covid-19 di Indonesia berpengaruh Positif terhadap kinerja pasar saham (IHSG) di Indonesia. Kata kunci : Covid-19, Pasar Saham. ABSTRACT This study aims to examine the effect of the spread of covid-19 in Indonesia on the stock market in Indonesia. The research method used data on new cases and new deaths due to covid-19, and the closing data and trading volume of the JCI that we collected from the period March 2 to January 7, 2021. We then tested the data using the Partial Least Square structural equation modeling (SEM). (PLS) with the help of the WarpPLS 7.0 application. We find this investigation that the spread of Covid-19 in Indonesia has a positive effect on the performance of the stock market (IHSG) in Indonesia. Keywords: Covid-19, Stock Market.

Review

This study tackles a highly relevant and timely topic, investigating the impact of the COVID-19 pandemic on the Indonesian stock market. The abstract clearly articulates the research objective: to analyze how the spread of COVID-19, characterized by new cases and deaths, influenced the Jakarta Composite Index (IHSG) and its trading volume. The chosen timeframe, from March 2, 2020, to January 7, 2021, focuses on the initial significant phase of the pandemic's impact in Indonesia. The methodological approach employing Structural Equation Modeling (SEM) using Partial Least Square (PLS) with WarpPLS 7.0 is a robust choice for examining complex relationships between variables. The researchers appropriately utilize direct indicators of the pandemic's progression and key stock market performance metrics. A particularly noteworthy and perhaps counter-intuitive finding presented in the abstract is that the spread of COVID-19 in Indonesia purportedly had a *positive* effect on the performance of the stock market. While the study's relevance and methodological rigor are commendable, several points warrant further consideration. Firstly, the title "Long term Covid-19 terhadap Pasar Saham di Indonesia" suggests a long-term analysis, yet the data period of roughly ten months is relatively short for drawing definitive "long-term" conclusions, especially for a multi-year pandemic. This discrepancy between the title and the study's temporal scope should be reconciled. Secondly, the intriguing finding of a positive effect of COVID-19 spread on the stock market requires more detailed explanation within the abstract or in the main body of the paper. Without context, it's challenging to understand the underlying mechanisms—whether it reflects market adaptation, government stimulus, or specific sector resilience—which would significantly strengthen the study's contribution.

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