Jiling Cao , Jeong-Hoon Kim , Wenqiang Liu , Wenjun Zhang
{"title":"Investment opportunity strategy in a double-mean-reverting 4/2 stochastic volatility environment","authors":"Jiling Cao , Jeong-Hoon Kim , Wenqiang Liu , Wenjun Zhang","doi":"10.1016/j.najef.2024.102358","DOIUrl":null,"url":null,"abstract":"<div><div>The investment-timing problem and the valuation of the right to take certain business initiatives in a given project (called a “real option”) have been considered by many authors under the assumption that volatility of the present value of the expected future net cash flows is stochastic. In this paper, we re-tackle these problems by assuming that the present value of the expected future net cash flows follows the double-mean-reverting 4/2 stochastic volatility model, proposed recently by Cao et al. (2023). Applying an asymptotic analysis approach outlined by Fouque et al. (2011), we obtain two approximation formulas for the value of the real option and the investment threshold, respectively. We conduct numerical experiments on sensitivity analysis of the formulas with respect to the model parameters (“Heston”- and “3/2”-factors) and the associated variables. Furthermore, we also conduct the least square Monte Carlo (LSM) simulation proposed by Longstaff and Schwartz (2001), and compare the real option values from our approximation formula with those from the LSM simulation. Our analysis shows that the relative errors are less than 0.3% in most of our cases, which justifies the appropriateness of our asymptotic approach for the model.</div></div>","PeriodicalId":47831,"journal":{"name":"North American Journal of Economics and Finance","volume":"76 ","pages":"Article 102358"},"PeriodicalIF":3.8000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"North American Journal of Economics and Finance","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1062940824002833","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0
Abstract
The investment-timing problem and the valuation of the right to take certain business initiatives in a given project (called a “real option”) have been considered by many authors under the assumption that volatility of the present value of the expected future net cash flows is stochastic. In this paper, we re-tackle these problems by assuming that the present value of the expected future net cash flows follows the double-mean-reverting 4/2 stochastic volatility model, proposed recently by Cao et al. (2023). Applying an asymptotic analysis approach outlined by Fouque et al. (2011), we obtain two approximation formulas for the value of the real option and the investment threshold, respectively. We conduct numerical experiments on sensitivity analysis of the formulas with respect to the model parameters (“Heston”- and “3/2”-factors) and the associated variables. Furthermore, we also conduct the least square Monte Carlo (LSM) simulation proposed by Longstaff and Schwartz (2001), and compare the real option values from our approximation formula with those from the LSM simulation. Our analysis shows that the relative errors are less than 0.3% in most of our cases, which justifies the appropriateness of our asymptotic approach for the model.
期刊介绍:
The focus of the North-American Journal of Economics and Finance is on the economics of integration of goods, services, financial markets, at both regional and global levels with the role of economic policy in that process playing an important role. Both theoretical and empirical papers are welcome. Empirical and policy-related papers that rely on data and the experiences of countries outside North America are also welcome. Papers should offer concrete lessons about the ongoing process of globalization, or policy implications about how governments, domestic or international institutions, can improve the coordination of their activities. Empirical analysis should be capable of replication. Authors of accepted papers will be encouraged to supply data and computer programs.