مقاله انگلیسی رایگان در مورد آیا جریان سرمایه گذاری خارجی و اعتماد بیش از حد بر حرکت قیمت سهام تاثیر می گذارد؟ – MDPI 2023

مقاله انگلیسی رایگان در مورد آیا جریان سرمایه گذاری خارجی و اعتماد بیش از حد بر حرکت قیمت سهام تاثیر می گذارد؟  – MDPI 2023

 

مشخصات مقاله
ترجمه عنوان مقاله آیا جریان سرمایه گذاری خارجی و اعتماد بیش از حد بر حرکت قیمت سهام تاثیر می گذارد؟ یک تحلیل مقایسه ای قبل و بعد از قرنطینه COVID-19
عنوان انگلیسی مقاله Do Foreign Investment Flow and Overconfidence Influence Stock Price Movement? A Comparative Analysis before and after the COVID-19 Lockdown
نشریه MDPI
سال انتشار ۲۰۲۳
تعداد صفحات مقاله انگلیسی  ۱۲ صفحه
هزینه  دانلود مقاله انگلیسی رایگان میباشد.
نوع نگارش مقاله مقاله پژوهشی (Research article)
مقاله بیس این مقاله بیس میباشد
نمایه (index) Scopus – DOAJ
نوع مقاله
ISI
فرمت مقاله انگلیسی  PDF
شناسه ISSN ۱۹۱۱-۸۰۷۴
فرضیه دارد
مدل مفهومی دارد
پرسشنامه ندارد
متغیر دارد
رفرنس دارد
رشته های مرتبط اقتصاد – مدیریت – حسابداری
گرایش های مرتبط اقتصاد مالی – مدیریت مالی – حسابداری مالی – مهندسی مالی و ریسک
نوع ارائه مقاله
ژورنال
مجله / کنفرانس مجله ریسک و مدیریت مالی – Journal of Risk and Financial Management
دانشگاه Faculty of Economics and Business, Universitas Padjadjaran, Indonesia
کلمات کلیدی جریان سرمایه گذاری خارجی – اعتماد بیش از حد – حرکت قیمت سهام – COVID-19 – قرنطینه – اندونزی
کلمات کلیدی انگلیسی foreign investment flow – overconfidence – stock price movement – COVID-19 – lockdown – Indonesia
شناسه دیجیتال – doi https://doi.org/10.3390/jrfm16010005
لینک سایت مرجع
https://www.mdpi.com/1911-8074/16/1/5
کد محصول e17385
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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فهرست مطالب مقاله:
Abstract
۱ Introduction
۲ Materials and Methods
۳ Results
۴ Discussion
References

بخشی از متن مقاله:

Abstract

This study examined whether foreign investment flow and overconfidence can influence stock price movement among the publicly listed companies in Indonesia. Subsequently, this study determined whether there was any significant difference in the influence of foreign investment flow and overconfidence on stock price movement before and after the COVID-19 lockdown in Indonesia. This study focused on the manufacturing companies listed on the Indonesian Stock Exchange for the 2020 period of which the data were taken in a period of 10 days before and 10 days after the implementation of the COVID-19 lockdown in Indonesia. Using content analysis on secondary data, this study showed that there was a significant difference between the stock prices before and after the COVID-19 lockdown. However, this study showed that foreign investment flow and overconfidence were not the main factors influencing stock price movement before and after the lockdown. The findings indicate that there are other factors that contribute to stock price movement in Indonesia. This study contributes to the existing literature on whether foreign investment flow and overconfidence influence stock price movement in a pandemic world.

Introduction

The COVID-19 pandemic has had an effect not only on the health sector but also on the economic sector all over the world (Ghani et al. 2022). Indonesia is not an exception to this situation. The Central Statistics Agency (BPS) revealed that Indonesia’s economic development in the first quarter of 2020 witnessed a growth of 2.97%, which is a significant change from the 5.02% growth that was recorded in 2019. In Indonesia, the pandemic had a negative impact on the capital market including a change in trading hours on the Indonesian Stock Exchange (BEI) (Kusnandar and Bintari 2020) which, consequently, affected stock price movement. On 8 April 2020, the Combined Stock Price Index (IHSG), which shows the aggregate change in the share price of companies listed on the BEI, showed a decrease in stock prices by around 1.34% at 4704.58. However, upon the government’s announcement of imposing the COVID-19 lockdown, trading hours resumed, causing a steady movement in the stock prices. The existence of unstable stock price movement results exposed investors to increasing risk and uncertainty (Kartika 2008).

Results

۵٫۱٫ Analyses before COVID-19 Lockdown

Table 3 presents the results of the normality test before the COVID-19 lockdown. The Asymp. Sig. (two-tailed) result was 0.346, which is greater than 0.05. Therefore, it can be concluded that the data were normally distributed, or, in other words, the data passed the normality test.

Table 4 presents the results of the normality test after the COVID-19 lockdown. The table shows the value of Asymp. Sig (two-tailed) to be 0.349, which is greater than 0.05. Therefore, it can be concluded that the data were normally distributed, or, in other words, the data passed the normality test.

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