This study investigates the exchange rate exposure of Chinese firms at the industry and firm level based on the conventional capital asset pricing model (CAPM) framework. At the industry level, the dynamic conditional correlation MGARCH (DCC MGARCH) estimates demonstrate that the market model and three-factor model are appropriate for exposure measurements, and industry returns are more likely to be exposed to unanticipated changes in the real exchange rate and the trade-weighted effective exchange rate, particularly for manufacturing industries. At the firm level, although the seemingly unrelated regression (SUR) estimates vary across markets, it is apparent that there is a relationship between firm size and exposure effects, which also show that lagged exchange rate changes have significant exposure effects on firm returns. This study finally suggests that non-financial firms should set up special commissions to hedge currency risks of their future cash flows.
机构:
Univ Coll Dublin, Michael Smurfit Grad Business Sch, Blackrock, County Dublin, IrelandUniv Coll Dublin, Michael Smurfit Grad Business Sch, Blackrock, County Dublin, Ireland
Hutson, Elaine
O'Driscoll, Anthony
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Univ Coll Dublin, Michael Smurfit Grad Business Sch, Blackrock, County Dublin, IrelandUniv Coll Dublin, Michael Smurfit Grad Business Sch, Blackrock, County Dublin, Ireland
机构:
Renmin Univ China, China Financial Policy Res Ctr, Beijing, Peoples R ChinaRenmin Univ China, China Financial Policy Res Ctr, Beijing, Peoples R China
He, Qing
Liang, Bailin
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Renmin Univ China, Sch Finance, Beijing, Peoples R ChinaRenmin Univ China, China Financial Policy Res Ctr, Beijing, Peoples R China
Liang, Bailin
Liu, Junyi
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Soka Univ Amer, Dept Econ, Aliso Viejo, CA 92656 USARenmin Univ China, China Financial Policy Res Ctr, Beijing, Peoples R China