2017
DOI: 10.1016/j.tre.2017.05.007
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Herd behavior in the drybulk market: an empirical analysis of the decision to invest in new and retire existing fleet capacity

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Cited by 28 publications
(29 citation statements)
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References 59 publications
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“…Papapostolou et al (2014) use the earnings yield as a market valuation proxy to construct a shipping sentiment index and, in turn, argue that a high earnings-yield ratio serves as a contrarian indicator for future shipping conditions. The latter argument is in line with Greenwood and Hanson (2015) but also with Papapostolou et al (2017) who use the PE ratio (that is the inverse of the earnings yield) as a valuation-specific metric to examine herd behaviour in the decision to invest in new or retire existing fleet capacity in the dry bulk shipping industry.…”
Section: Introductionmentioning
confidence: 59%
“…Papapostolou et al (2014) use the earnings yield as a market valuation proxy to construct a shipping sentiment index and, in turn, argue that a high earnings-yield ratio serves as a contrarian indicator for future shipping conditions. The latter argument is in line with Greenwood and Hanson (2015) but also with Papapostolou et al (2017) who use the PE ratio (that is the inverse of the earnings yield) as a valuation-specific metric to examine herd behaviour in the decision to invest in new or retire existing fleet capacity in the dry bulk shipping industry.…”
Section: Introductionmentioning
confidence: 59%
“…• Proposed model captures flexibly the drybulk market behavior • Long-run freight rate and volatility have an impact on the investment timing and value • A high opportunity cost is embedded in the investment decision due to construction lags Papapostolou et al (2017) Investigation of the impact of herding behaviour in the dry bulk segment 233 monthly observations 1996-2015…”
Section: Resultsmentioning
confidence: 99%
“…Focusing on the herding behaviour of shipping investors, Papapostolou et al (2017) explore the impact of shipowners' behaviour in shipping investments by quantifying unintentional and intentional herding. 27 The authors analyse data on newbuilding and scrap tonnage for the period 1996-2015 and report that ordering and scrapping decisions are largely the result of unintentional herding.…”
Section: Behavioural Biases and Shipping Investmentsmentioning
confidence: 99%
“…Technical obsolescence of older equipment also increases the challenge of preventing and containing errors and exacerbates the unpredictability of maintenance in older vessels (Papapostolou et al. ). Thus, we hypothesize that identifying and reporting errors become less (more) effective in reducing unplanned maintenance in older (newer) vessels.
H 4 : Vessel age weakens the negative effect of no‐blame error reporting on unplanned maintenance.
…”
Section: Hypothesis Developmentmentioning
confidence: 99%