Investigating Factors Affecting Investor Decision to Sell Indonesia Government Retail Bonds Portfolio
Ahmad Danu Prasetyo,
Taffy Ukhtia Panduputri,
Prawira Fajarindra Belgiawan,
Yunieta Anny Nainggolan,
Subhan Noor,
Riky Candra,
Sri Putri Siregar and
Yuddy Hendranata
A chapter in The Finance-Innovation Nexus: Implications for Socio-Economic Development, 2024, vol. 34, pp 73-89 from Emerald Group Publishing Limited
Abstract:
Government bonds are debt securities issued by the central government, where investors are to receive returns in the form of an annual coupon rate periodically. This leads investors tend to hold their portfolio after purchasing due to the guaranteed returns of the government bonds. However, another strategy for gaining returns is to sell the eligible portfolios in the secondary market. This research aims to investigate the factors behind investors’ decisions whether to sell their government retail bonds portfolio and the length of their portfolio hold days. Towards a secondary dataset of existing government retail bonds investors in Indonesia and secondary market rate, logistic regression analysis was employed to inspect their selling decisions, while the decision tree classification method investigated their hold days. Results show that both the decision to sell bonds portfolio in the secondary market and the period of hold days are highly affected by its comparative return performance towards other investment alternatives, represented by excess returns. This study contributes to the behavioural finance field by answering the lack of investigation for investors’ selling decisions, particularly for government retail bonds, which will enhance the understanding of portfolio rebalancing in portfolio management studies.
Keywords: Decision tree; excess return; logistic regression; government bonds; SBN retail; E62; G41; H63 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eme:isetez:s1571-038620240000034006
DOI: 10.1108/S1571-038620240000034006
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