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Firm-specific risk and IPO market cycles
Authors:Marie-Claude Beaulieu  Habiba Mrissa Bouden
Institution:1. Chaire RBC en innovations financières. Centre interuniversitaire sur le risque, les politiques économiques et l’emploi (CIRPéE). Département de finance, assurance et immobilier, Faculté des sciences de l’administration, Université Laval, Québec G1V 0A6, CanadaMarie-Claude.Beaulieu@fsa.ulaval.ca;3. Chaire RBC en innovations financières. Centre interuniversitaire sur le risque, les politiques économiques et l’emploi (CIRPéE). Département de finance, assurance et immobilier, Faculté des sciences de l’administration, Université Laval, Québec G1V 0A6, Canada
Abstract:This article characterizes the role of risk in the initial public offering (IPO) cycle. While most of the previous literature uses the volatility of IPO initial returns to measure risk, we focus on different risk measures, namely firm-level systematic and idiosyncratic volatilities and the market-wide implied volatility index (VIX), to assess their role in the IPO cycle. Our results shed new light on (1) which risk measure is important in the determination of IPO cycles, (2) the temporal pattern of each risk component across issuing firms and (3) the relationship between market-wide uncertainty and IPO risk. Our findings reveal a lead-lag relationship between IPO waves, VIX and the IPO systematic risk measure. We also highlight the fact that market-level uncertainty predicts IPO activity and the level of idiosyncratic risk of the next-period-issuing firms. Issuing firms’ systematic risk can only be predicted by the systematic risk of firms now proceeding to their offering. The main implication resulting from our study is that one can better anticipate ‘hot-issue’ markets, as well as the specific risk components of future new issues. This will help improve upon the regulatory environment, IPO investment decisions and IPO timing given market receptivity.
Keywords:initial public offerings  hot-issue market  IPO cycle  idiosyncratic risk  systematic risk  implied volatility index
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