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1 – 2 of 2Steven D. Dolvin and Mark K. Pyles
It has been found that stock market returns vary seasonally with the amount of daylight, and they attribute this effect to seasonal affective disorder (SAD), which is a…
Abstract
Purpose
It has been found that stock market returns vary seasonally with the amount of daylight, and they attribute this effect to seasonal affective disorder (SAD), which is a psychological condition that causes depression and heightened risk aversion during the fall and winter months. The goal of this study is to examine whether this effect also manifests itself in the pricing of initial public offerings (IPOs).
Design/methodology/approach
The authors conduct an empirical analysis on IPO data collected over the period 1986‐2000. Specifically, we examine potential pricing differences between IPO that go public during the fall and winter months, relative to other issues. The paper begins by exploring differences on a univariate basis (i.e. testing via t‐statistics), subsequently extending the analysis by controlling for firm and offer characteristics in a multiple regression framework.
Findings
The paper finds that IPOs experience higher levels of underpricing in both the fall and winter months and that offer price revisions are higher during the winter months. Both of these results are consistent with SAD influencing the IPO pricing process.
Originality/value
The results suggest that behavioral issues (i.e. the emotions of buyers) may have as much of an effect on the pricing of IPOs as more traditional characteristics. Further, the results imply that firms with flexible issuance schedules should avoid going public during months affected by SAD, thereby potentially reducing the cost of issuance.
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Steven D. Silver and Marko Raseta
The intention of the empirics is to contribute to the general understanding of investor responses to market price shocks. The authors review assumptions about investor behavior in…
Abstract
Purpose
The intention of the empirics is to contribute to the general understanding of investor responses to market price shocks. The authors review assumptions about investor behavior in response to price shocks and investigate alternative rebalancing heuristics.
Design/methodology/approach
The authors use market data over 40 years to define market shocks. Portfolio rebalancing implements constrained Markowitz mean-variance (MV) heuristics.
Findings
Momentum rebalancing in portfolio management outperforms contrarian rebalancing in the study interval. Sensitivity analysis by decade, sector constraints and proportion of security holdings bought or sold continue to support momentum rebalancing.
Research limitations/implications
The results are consistent with under-responding to price shocks at consensus levels in financial markets. The theoretical background provides a basis for experimental lab studies of shocks of different magnitudes under conditions in which participants have information on the levels of other participants and a condition in which they can only observe their previous estimates.
Practical implications
Managing portfolios in the face of price disturbances of different magnitudes is informed by empirical studies and their implications for investor behavior.
Originality/value
This is the first study the authors can locate that uses market data with alternative rebalancing heuristics to estimate price returns from the respective heuristics over a time interval of 40 years. The authors support the results with sensitivity estimates and consider implications for the underlying agent heuristics in light of background studies.
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