Real options analysis of revenue risk sharing in post-disaster housing reconstruction

Mohammad Vahdatmanesh, A. Firouzi, J. Rotimi
{"title":"Real options analysis of revenue risk sharing in post-disaster housing reconstruction","authors":"Mohammad Vahdatmanesh, A. Firouzi, J. Rotimi","doi":"10.1108/jfmpc-02-2021-0018","DOIUrl":null,"url":null,"abstract":"Purpose Post-disaster housing reconstruction (PDHR) demands a considerable percentage of global property investment, yet the post-disaster environment presents intricate challenges to reconstruction financing for governments and at the same time, revenue uncertainty for private investors. The purpose of this study is to develop a methodology for tackling land shortage and the financial challenges of PDHR in the aftermath of a disaster. Design/methodology/approach This study developed a methodology based on a combined minimum revenue guarantee and maximum revenue cap model using a well-established real options analysis (ROA) for revenue risk sharing in PDHR projects and land readjustment (LR) for finance. The applicability of the purported model is demonstrated through an illustrative example. Findings The results show that flexibility in the options could increase the PDHR contractor’s risk profile by increasing the expected value of the contractor investment and reducing the probability of investment loss. On the other side, a cap on the contractor revenue stream would allow the government to benefit from any excess in revenue and would counterbalance the value of the option. Practical implications The framework proposed in this study could serve as a practical risk-revenue sharing in PDHR projects. Governments and policymakers could use the findings to enable the successful delivery of PDHR projects and consequently bring the quality of life of affected people to pre-disaster conditions. Originality/value This study can be considered as a first attempt toward the use of the Australian barrier style options structure, and the trinomial lattice valuation model in PDHR projects, which incorporates LR, public-private partnerships, governmental guarantees and PDHR concepts in one ROA-based framework.","PeriodicalId":45720,"journal":{"name":"Journal of Financial Management of Property and Construction","volume":" ","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2021-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Financial Management of Property and Construction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/jfmpc-02-2021-0018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose Post-disaster housing reconstruction (PDHR) demands a considerable percentage of global property investment, yet the post-disaster environment presents intricate challenges to reconstruction financing for governments and at the same time, revenue uncertainty for private investors. The purpose of this study is to develop a methodology for tackling land shortage and the financial challenges of PDHR in the aftermath of a disaster. Design/methodology/approach This study developed a methodology based on a combined minimum revenue guarantee and maximum revenue cap model using a well-established real options analysis (ROA) for revenue risk sharing in PDHR projects and land readjustment (LR) for finance. The applicability of the purported model is demonstrated through an illustrative example. Findings The results show that flexibility in the options could increase the PDHR contractor’s risk profile by increasing the expected value of the contractor investment and reducing the probability of investment loss. On the other side, a cap on the contractor revenue stream would allow the government to benefit from any excess in revenue and would counterbalance the value of the option. Practical implications The framework proposed in this study could serve as a practical risk-revenue sharing in PDHR projects. Governments and policymakers could use the findings to enable the successful delivery of PDHR projects and consequently bring the quality of life of affected people to pre-disaster conditions. Originality/value This study can be considered as a first attempt toward the use of the Australian barrier style options structure, and the trinomial lattice valuation model in PDHR projects, which incorporates LR, public-private partnerships, governmental guarantees and PDHR concepts in one ROA-based framework.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
灾后住房重建收益风险分担的实物期权分析
目的灾后住房重建(PDHR)需要相当大比例的全球房地产投资,但灾后环境给政府的重建融资带来了复杂的挑战,同时也给私人投资者带来了收入的不确定性。本研究的目的是制定一种方法,以解决灾难后土地短缺和PDHR的财务挑战。设计/方法论/方法本研究开发了一种基于最低收入保障和最高收入上限组合模型的方法论,该模型使用了成熟的实物期权分析(ROA),用于PDHR项目的收入风险分担和土地调整(LR)。通过一个示例说明了所声称的模型的适用性。结果表明,选择的灵活性可以通过增加承包商投资的预期价值和降低投资损失的概率来增加PDHR承包商的风险状况。另一方面,对承包商收入流设定上限将使政府能够从任何超额收入中受益,并抵消期权的价值。实际含义本研究中提出的框架可以作为PDHR项目中的实际风险收益分担。各国政府和政策制定者可以利用这些调查结果,成功实施PDHR项目,从而使受灾人民的生活质量达到灾前水平。独创性/价值本研究可被视为首次尝试在PDHR项目中使用澳大利亚屏障式期权结构和三项格式估值模型,该模型将LR、公私伙伴关系、政府担保和PDHR概念纳入一个基于ROA的框架中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
3.70
自引率
0.00%
发文量
17
期刊最新文献
Managing supply chain disruptions in the construction industry: an institutional approach Assessing risk allocation preferences of partners in international construction joint venture projects in Ghana Impact of time-based delay on public-private partnership (PPP) construction project delivery: construction stakeholders’ perspective Drivers for the adoption of building information modelling (BIM) for post-construction management in the Nigerian AECO industry Risk assessment for 3D printing in construction projects
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1