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This study examines the determinants of the decisions of long-term institutional investors on government bond investments in South Korea by performing a machine learning analysis, specifically, LASSO regressions. The analysis is based on a comprehensive set of financial and real variables spanning from 2004 to 2021. We consider 35 explanatory variables that are expected to influence the number of government bonds purchased by long-term institutional investors. Our analysis reveals that government bond investments of insurance companies and pension funds are driven by distinct factors. In the case of insurance companies, the purchase of government bonds with maturities exceeding five years is observed to be influenced by a wide range of factors, encompassing both domestic (e.g. core inflation) and global (e.g. US T-bill yield) influences. Conversely, much less significant determinants were found for investments of pension funds, implying that Korean pension funds have a pre-established and inflexible approach.
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Jeon et al. (2024) studied this question.
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