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Analysis identifies trend breaks affecting closed-end fund discounts, suggesting nonlinearity influences pricing stability.
Closed-end fund (CEF) prices often exhibit large and persistent deviations from their associated net asset values (NAVs). This occurrence is puzzling, given that NAVs are openly accessible to the public for CEFs, which essentially consist of repackaged financial assets. The persistence of these deviations is particularly notable when using linear models, suggesting the need for nonlinear models to comprehend this phenomenon known as the CEF discount puzzle. To unravel this puzzle, we employ the RALS-LM framework, enabling the identification of multiple endogenously chosen trend-breaks, and conduct an analysis utilizing data from 31 CEF discounts. Our findings reveal that CEF prices tend to fluctuate around time-varying trends, which aligns with the characteristics of regime switching models. Additionally, we demonstrate that incorporating non-normal errors through moment conditions enhances efficiency at the margin. Moreover, we establish that nonlinearity solely in the form of level shifts falls short in explaining the persistent nature of CEF discounts.
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Durmaz et al. (2025) studied this question.
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