2020
DOI: 10.13106/jafeb.2020.vol7.no11.117
|View full text |Cite
|
Sign up to set email alerts
|

Capital Market Volatility MGARCH Analysis: Evidence from Southeast Asia

Abstract: This paper is aimed to explore the co-movement capital market in Southeast Asia and analysis the correlation of conventional and Islamic Index in the regional and global equity. This research become necessary to represent the risk on the capital market and measure market performance, as investor considers the volatility before investing. The time series daily data use from April 2012 to April 2020 both conventional and Islamic stock index in Malaysia and Indonesia. This paper examines the dynamics of condition… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
5
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
5

Relationship

1
4

Authors

Journals

citations
Cited by 5 publications
(5 citation statements)
references
References 22 publications
0
5
0
Order By: Relevance
“…In a multivariate GARCH (p, q) model (henceforth, MGARCH), the conditional variance and covariance of each asset depend upon its past conditional variance and past conditional variances of the other assets (Bollerslev, Engle & Nelson, 1994;Rusmita, Rani, Swastika, & Zulaikha, 2020). Dynamic conditional correlations (henceforth, DCC) are the most relevant in volatility modeling since they allow for time-varying means and variances.…”
Section: Methodsmentioning
confidence: 99%
“…In a multivariate GARCH (p, q) model (henceforth, MGARCH), the conditional variance and covariance of each asset depend upon its past conditional variance and past conditional variances of the other assets (Bollerslev, Engle & Nelson, 1994;Rusmita, Rani, Swastika, & Zulaikha, 2020). Dynamic conditional correlations (henceforth, DCC) are the most relevant in volatility modeling since they allow for time-varying means and variances.…”
Section: Methodsmentioning
confidence: 99%
“…Hence, TLKM is appropriate for risk-averse inventors, while UNTR is suitable for risk-taking investors. Rusmita et al (2020) investigated capital market volatility employing MGARCH analysis. MGARCH belongs to the family of GARCH model that uses a constant covariance matrix to reduce parameters so that estimation becomes less complicated.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Research involving the Indonesian Islamic stock index has been revolving around macroeconomic determinants (Majid, 2018;Masrizal et al, 2019;Nugroho & Robiyanto, 2021), volatility modeling, and forecasting (Burhanuddin, 2020;Hasbullah et al, 2020;Mubarok & Bisma, 2020;Rusmita et al, 2020;Bisma & Mubarok, 2021), and the performance of Islamic stocks and index (Muhari, 2020). This research will fill in the gaps in the literature by investigating how Indonesian Islamic stock index (JII).…”
Section: Introductionmentioning
confidence: 99%
“…Notably, Türkiye was pinpointed as one of the country's most negatively impacted. Further, an analytical piece by Korkmaz & Yılmaz (2020) shed light on the escalating stock market volatility in Türkiye in the wake of the pandemic, especially after the announcement of the first case. , which examined the influence of oil price, gold price, and volatility in the VIX index on the BIST 100 during the pandemic, underscored that these factors had rapidly diminishing impacts, with most of the variations in the BIST 100 being self-explanatory.…”
Section: Introductionmentioning
confidence: 99%