“…The Malaysian stock exchange is not a global investor portfolio target because the standard deviation is higher than the mean. The results of this test support the findings of Omay and Iren [23]. Malaysia is still not a mainstay portfolio since local authorities are still so restrictive.…”
Section: Comparing Benefits Of International Diversification (Countrysupporting
confidence: 80%
“…Instead, this global investor will opt out of countries in ASEAN which are currently experiencing a depreciation of their local currency against the USD. This hedging pattern is recommended by Samsi [22] and Omay and Iren [23]. Returning to Table 3, global investors continue to target Indonesia as their portfolio target.…”
Section: Comparing Benefits Of International Diversification (Countrymentioning
When the capital markets in ASEAN are integrated, global investors can still pursue the benefits of international diversification more than in the country level but in also in the industry level. The intended international diversification is diversification between industries. To implement this diversification between industries, measurement tools are needed to determine the benefits of international diversification directly. The intended instrument tool is a correlation which in this study uses country level correlation and industry level correlation. In order for these two correlations to be effective, it is necessary to make a hypothesis test to find if there is a difference in the level of integration between country and industry levels in ASEAN. To analyze industry level correlations, Equally Weighted and Value Weighted estimation procedures are required to test the construction of industry sector sample data according to GICS. The results show that there are differences in the level of integration between country and industry levels in ASEAN and the implication that the Indonesian capital market provide the greatest benefits and global investors could utilize all GICS industrial sectors as a reliable portfolio. The practical implications of these final result is choosing countries and industries are the best for the portfolios.
“…The Malaysian stock exchange is not a global investor portfolio target because the standard deviation is higher than the mean. The results of this test support the findings of Omay and Iren [23]. Malaysia is still not a mainstay portfolio since local authorities are still so restrictive.…”
Section: Comparing Benefits Of International Diversification (Countrysupporting
confidence: 80%
“…Instead, this global investor will opt out of countries in ASEAN which are currently experiencing a depreciation of their local currency against the USD. This hedging pattern is recommended by Samsi [22] and Omay and Iren [23]. Returning to Table 3, global investors continue to target Indonesia as their portfolio target.…”
Section: Comparing Benefits Of International Diversification (Countrymentioning
When the capital markets in ASEAN are integrated, global investors can still pursue the benefits of international diversification more than in the country level but in also in the industry level. The intended international diversification is diversification between industries. To implement this diversification between industries, measurement tools are needed to determine the benefits of international diversification directly. The intended instrument tool is a correlation which in this study uses country level correlation and industry level correlation. In order for these two correlations to be effective, it is necessary to make a hypothesis test to find if there is a difference in the level of integration between country and industry levels in ASEAN. To analyze industry level correlations, Equally Weighted and Value Weighted estimation procedures are required to test the construction of industry sector sample data according to GICS. The results show that there are differences in the level of integration between country and industry levels in ASEAN and the implication that the Indonesian capital market provide the greatest benefits and global investors could utilize all GICS industrial sectors as a reliable portfolio. The practical implications of these final result is choosing countries and industries are the best for the portfolios.
“…Investor akan mencari diversifikasi internasional yang menguntungkan. Aliran dana modal asing dalam pasar saham sangat diharapkan untuk pertumbuhan ekonomi, namun dana ini memiliki peningkatan volatilitas selama krisis lokal (Omay & Iren, 2019). Selain memantau kondisi perang dagang terbuka antara Amerika Serikat dan Tiongkok, investor perlu memantau kondisi perekonomian lokal dan membentuk diversifikasi untuk mengalokasikan sumberdaya sesuai perkembangan kondisi perekonomian global dan lokal.…”
Penelitian ini bertujuan untuk mengetahui pengaruh pasar saham Amerika Serikat, Tiongkok, Indonesia saat perang dagang terbuka antara Amerika Serikat dan Tiongkok yang dimulai 6 Juli 2018. Pasar saham Amerika Serikat (Dow Jones Index), pasar saham Tiongkok (Shanghai Composite Index dan Hang Seng Index), dan pasar saham Indonesia (Jakarta Stock Exchange Index) digunakan untuk merepresentasikan diversifikasi investasi saham antar negara. Pengujian dimulai dengan uji hubungan antara pasar saham dengan uji korelasi untuk mengetahui pergerakan bersama antara indeks saham. Setelah itu, dilakukan uji regresi berganda untuk mengetahui pengaruh pasar saham Amerika Serikat dan pasar saham Tiongkok terhadap pasar saham Indonesia. Periode penelitian dimulai dari 6 Juli 2018 hingga 30 September 2020 (818 hari). Temuan penelitian ini adalah hubungan (pergerakan bersama) antara pasar saham Amerika Serikat-Indonesia dan Tiongkok-Indonesia. Temuan yang lain adalah pasar saham Indonesia dipengaruhi oleh pasar saham Amerika Serikat dan Tiongkok. Temuan empiris berimplikasi kepada keputusan investor domestik dan internasional untuk investasi jangka pendek saat perang dagang terbuka antara Amerika Serikat dan Tiongkok.
“…In financial markets, one way for investors to overcome periods of crisis is adopting herding behavior (Andrikopoulos et al, 2017;Omay & Iren, 2019). This behavior allows them to imitate the actions of others using the same sources of information and interpreting signals sent to the market in an identical way, and, consequently, making similar financial decisions (Hirshleifer et al, 1994).…”
This investigation is the first to analyze how civil unrest impacts herding behavior in an emerging economy. Using series of prices and daily traded volumes of the companies that make up the IGPA of the Santiago Stock Exchange between 2010 and 2020, it was found that civil unrest causes reverse herding behavior in the Chilean stock market. Thus, herding behavior and inverse herding behavior are more complex behaviors than the financial literature has reported to date, especially in a period of civil unrest. Different robustness tests support the findings.
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