2006
DOI: 10.2139/ssrn.929215
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American Options in Regime-Switching Models

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Cited by 20 publications
(20 citation statements)
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“…Jacka and Ocejo [12] studied the regularity of the value function for a finite-horizon optimal stopping problem in the presence of regime-switching uncertainty. Boyarchenkp and Levendorski [13] calculated the early exercise boundaries for American options by using a generalization of Carr's randomization procedure for regime-switching models. In the insurance literature, Siu [14] considered the fair valuation of a participating life insurance policy with surrender options for regime-switching models and provided a decomposition result for the value of the policy.…”
Section: Introductionmentioning
confidence: 99%
“…Jacka and Ocejo [12] studied the regularity of the value function for a finite-horizon optimal stopping problem in the presence of regime-switching uncertainty. Boyarchenkp and Levendorski [13] calculated the early exercise boundaries for American options by using a generalization of Carr's randomization procedure for regime-switching models. In the insurance literature, Siu [14] considered the fair valuation of a participating life insurance policy with surrender options for regime-switching models and provided a decomposition result for the value of the policy.…”
Section: Introductionmentioning
confidence: 99%
“…e abovementioned authors mainly concentrated on the value function and did not investigate the free boundary arising from American option pricing problem. Boyarchenkp and Levendorski calculated the early exercise boundaries for American options by using a generalization of Carr's randomization procedure for regimeswitching models [13]. But they did not study the properties of the free boundary and the early exercise premium was unknown.…”
Section: Introductionmentioning
confidence: 99%
“…Such studies use numerical schemes to demonstrate the application of the results, but do not offer a universal method to find the value function explicitly. The numerical methods for the evaluation of the value function are discussed in Boyarchenko and Levendorskiǐ (), Huang, Forsyth, and Labahn (), Babbin, Forsyth, and Labahn (), as well. Another approach is to first guess a solution by constructing an optimal strategy and then prove that the candidate function is indeed a value function (e.g., see Guo & Zhang, ).…”
Section: Introductionmentioning
confidence: 99%