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Kittipob Saetia and Jiraphat Yokrattanasak
Machine learning for stock market prediction has recently been popular for identifying stock selection strategies and providing market insights. In this study, we adopted machine learning algorithms to analyze technical indicators, and Google Trends sear...
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Xinyi Li, Yuhong Zhang, Xing Zhang and Runtang Gu
This study investigated the relationship between a sector-specific Australian Real Estate Investment Trust (A-REITs) and the underlying property assets in its property portfolio. The existing studies have assessed the connectedness/correlation between th...
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Suramaya Suci Kewal, Universitas Katolik Musi Charitas Palembang Yohanes Andri Putranto, Universitas Katolik Musi Charitas Palembang, Indonesia 10.21831/economia.v19i1.43957
Pág. 13 - 24
This study examines the comparison of stock performance as measured using the return and risk of stock portfolios of ethical and non-ethical companies on the Indonesia Stock Exchange. Portfolio formation using a single index model during 2016-2019. The d...
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Nassar S. Al-Nassar
This study contributes to the ongoing debate on the size effect and size-based investment styles by investigating the return and volatility spillovers and time-varying conditional correlations among Saudi large-, mid-, and small-cap indices. To this end,...
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Guido Abate, Tommaso Bonafini and Pierpaolo Ferrari
Mean-variance optimization often leads to unreasonable asset allocations. This problem has forced scholars and practitioners alike to introduce portfolio constraints. The scope of our study is to verify which type of constraint is more suitable for achie...
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