A Dynamic Computing Research for Value at Risk (VaR) of Shanghai Stock Market Based on the GARCH Model

Author(s):  
Shi Xia
2020 ◽  
Vol 4 (3) ◽  
pp. 329-333
Author(s):  
Risty Mega Pramadita ◽  
Nora Amelda Rizal

This research is motivated by Bitcoin that tends to be used as an alternative investment tool, and stock which is one of the most popular investment tools in the investment world. Both of these investments have characteristics of high fluctuating price movements. Thus, this study agrees to examine how much risk is faced by investors when choosing to invest in Bitcoin and Jakarta Composite Index (JKSE), using the Value at Risk (VaR) method. This research is using VaR calculation to estimates losses on an asset with a certain level of confidence and in a certain period and involves the GARCH model to estimate volatility. This research is used secondary data consisting of daily price data of Bitcoin obtained from coingecko.com and JKSE obtained from finance.yahoo.com. The research period is from January 1, 2017, to December 31, 2019. The results showed that Bitcoin has a higher risk compared to JKSE, which is about five times higher.


2021 ◽  
pp. 73-82
Author(s):  
Dery Westryananda Putra ◽  
Sri Hasnawati ◽  
Muslimin Muslimin

This study aims to analyze the effect of the Ramadan effect and volatility risk on the Indonesian stock market using the GARCH model. The population in this study are companies listed on the LQ45 index on the Indonesia Stock Exchange during 2019. There are 42 companies used as samples in this study. The research sample was taken using purposive sampling method. This study uses the GARCH model as an analytical tool. The results of this study indicate that there is no Ramadan effect on the LQ45 index, but the volatility in the month of Ramadan affects the volatility in the LQ45 index. Keywords: Ramadan Effect, Volatility Risk, GARCH Model Abstrak Penelitian ini bertujuan untuk menganalisis pengaruh Ramadhan effect dan risiko volatilitas terhadap pasar saham Indonesia dengan menggunakan model GARCH. Populasi dalam penelitian ini adalah perusahaan yang terdaftar pada indeks LQ45 di Bursa Efek Indonesia selama tahun 2019. Terdapat 42 perusahaan yang dijadikan sampel dalam penelitian ini. Sampel penelitian diambil dengan menggunakan metode purposive sampling. Penelitian ini menggunakan model GARCH sebagai alat analisis. Hasil penelitian ini menunjukkan bahwa tidak ada pengaruh Ramadhan terhadap indeks LQ45, namun volatilitas pada bulan Ramadhan berpengaruh terhadap volatilitas pada indeks LQ45. Kata Kunci: Ramadhan Effect, Risiko Volatilitas, Model GARCH


Author(s):  
Eric Kwame Austro Gozah ◽  
Eric Neebo Wiah ◽  
Albert Buabeng ◽  
Paul Yaw Addai Yeboah

2008 ◽  
Vol 11 (6) ◽  
pp. 1093-1108
Author(s):  
Hae-Ching Chang ◽  
Jian-Hsin Chou ◽  
Cheng-Te Chen ◽  
Chin-Shan Hsieh

2006 ◽  
Vol 51 (4) ◽  
pp. 2295-2312 ◽  
Author(s):  
Christoph Hartz ◽  
Stefan Mittnik ◽  
Marc Paolella

In financial management, the equity market performance is the critical element of equity market returns volatility wherever the shareholder’s resilience around the instability subsists. The data is collected from the authenticated secondary sources for the analysis. This paper shows that the 2008economicpredicament, as well as the effect above proceeding developing financial prudence of the globe, is found in the equity return instability connation of developing financial prudence (2004-2015). By the GARCH model, it can be examined that as the information from the U.S.A. stock market news has an essential consequences on the earnings of the S&P 500 stock market index, the indices of the east, as well as south Asian nations, has also influenced by the news of U.S.A. The GARCH model is estimated for the U.S.A. stock market news has a substantial effect or not on East and South Asian nation's daily share market returns. The outcomes show that market earnings in the equity market in east and south Asian nations are incredibly reliant on their historical earnings. It is found that Tokyo Topic (4.8929) is a highly volatile stock index among the East and South Asian stock returns, and the low volatile stock index is DSEX (0.0068). The news of the U.S.A. stock market has affected the equity market of India, Japan, China, and Korea, which are included in the East and South Asian stock market. In all the country’s share markets, found most significant variance in the equity income instability. This study is essential for the shareholders looking for the diversification in the portfolio, domestic institutional investors and foreign institutional investors


2018 ◽  
Vol 56 (5) ◽  
pp. 1055-1072
Author(s):  
Tsung-Che Wu ◽  
Hung-Hsi Huang ◽  
Ching-Ping Wang ◽  
Yi-Lin Zhong

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