完整後設資料紀錄
DC 欄位語言
dc.contributor.authorWang, Chuan-Juen_US
dc.contributor.authorDai, Tian-Shyren_US
dc.date.accessioned2019-04-02T05:59:47Z-
dc.date.available2019-04-02T05:59:47Z-
dc.date.issued2018-11-01en_US
dc.identifier.issn1556-603Xen_US
dc.identifier.urihttp://dx.doi.org/10.1109/MCI.2018.2866728en_US
dc.identifier.urihttp://hdl.handle.net/11536/148339-
dc.description.abstractA catastrophe equity put (CatEPut) is constructed to recapitalize an insurance company that suffers huge compensation payouts due to catastrophic events (CEs). The company can exercise its CatEPut to sell its stock to the counterparty at a predetermined price when its accumulated loss due to CEs exceeds a predetermined threshold and its own stock price falls below the strike price. Much literature considers the evaluations of a CatEPut that can only be exercised at maturity; however, most CatEPuts can be exercised early so the company can receive timely funding. This paper adopts lattice approaches to evaluate CatEPuts with early exercise features. To solve the combinatorial exposition problem due to the trigger of CatEPuts' accumulated loss, our method reduces the possible number of accumulated losses by taking advantage of the closeness of integral additions. We also identify and alleviate a new type of nonlincarity error that yields unstable numerical pricing results by adjusting the lattice structure. We provide a rigorous mathematical proof to show how the proposed lattice can be constructed under a mild condition. Comprehensive numerical experiments are also given to demonstrate the robustness and efficiency of our lattice.en_US
dc.language.isoen_USen_US
dc.titleAn Accurate Lattice Mode for Pricing Catastrophe Equity Put Under the lump-Diffusion Processen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/MCI.2018.2866728en_US
dc.identifier.journalIEEE COMPUTATIONAL INTELLIGENCE MAGAZINEen_US
dc.citation.volume13en_US
dc.citation.spage35en_US
dc.citation.epage45en_US
dc.contributor.department資訊管理與財務金融系 註:原資管所+財金所zh_TW
dc.contributor.departmentDepartment of Information Management and Financeen_US
dc.identifier.wosnumberWOS:000447790700004en_US
dc.citation.woscount0en_US
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