2020
DOI: 10.1017/s1748499520000172
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Valuation of no-negative-equity guarantees with a lower reflecting barrier

Abstract: Abstract If the general level of house prices falls a long way, policymakers may introduce new policies which seek to support prices. This paper considers the effect of such interventions on the valuation of no-negative-equity guarantees (NNEG) in equity release mortgages. I model interventions by a reflecting barrier expressed as a fraction of the current level of house prices. Reflection at the barrier is instantaneous, so the no-arbitrage property is preserved, and hence … Show more

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Cited by 7 publications
(17 citation statements)
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“…NNEG valuation plays a crucial role in the design and management of ERMs, and several valuation approaches have been considered (see Buckner and Dowd 2020, for a survey of NNEG valuation). Thomas (2021) recently proposed a new approach, built on the assumption that the government will intervene in the residential real estate market if property prices fall by more than a certain proportion, thereby establishing a de facto lower bound for house prices. Based on this idea, he proposed an RGBM model for house prices, where the lower reflecting boundary b > 0 corresponds to the level at which the government will enter the property market to prop up prices.…”
Section: Problems With the Valuation Of No-negative-equitymentioning
confidence: 99%
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“…NNEG valuation plays a crucial role in the design and management of ERMs, and several valuation approaches have been considered (see Buckner and Dowd 2020, for a survey of NNEG valuation). Thomas (2021) recently proposed a new approach, built on the assumption that the government will intervene in the residential real estate market if property prices fall by more than a certain proportion, thereby establishing a de facto lower bound for house prices. Based on this idea, he proposed an RGBM model for house prices, where the lower reflecting boundary b > 0 corresponds to the level at which the government will enter the property market to prop up prices.…”
Section: Problems With the Valuation Of No-negative-equitymentioning
confidence: 99%
“…Such a process is obtained by applying Skorokhod's (1961) construction to a vanilla geometric Brownian motion, causing it to reflect off a lower boundary. Veestraeten (2013), Hertrich (2015), and Hertrich and Zimmermann (2017) have used RGBMs to model exchange rates constrained by central bank target zone policies, while Thomas (2021) recently modelled house prices as an RGBM, under the assumption that the government will support the property market if prices fall enough. Veestraeten (2008) claimed that the RGBM model does not offer any arbitrage opportunities.…”
Section: Introductionmentioning
confidence: 99%
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“…The failure of standard put-call parity hints that the barrier model allows some sort of arbitrage. Previous papers (Thomas, 2021;Hertrich & Zimmermann, 2017;Hertrich, 2015;Veestraeten, 2008Veestraeten, , 2013 all noted that the assumed instantaneous nature of reflection rules out the obvious arbitrage of buying when the spot price is exactly at the barrier, and then selling a moment later after it rises. However, this argument renders impractical only immediate arbitrage (arbitrage with no interim losses); it does not exclude arbitrage with interim losses, which requires credit to cover losses which may be incurred before an eventual gain.…”
Section: Introductionmentioning
confidence: 99%
“…For puts with a lower barrier, Hertrich & Veestraeten (2013) stated the result, and Hertrich (2015) and Hertrich & Zimmermann (2017) gave a full derivation. Thomas (2021) suggested an application to the valuation of no-negative-equity guarantees on equity release mortgages. Each of these papers focused mainly either on call options (Veestraeten, 2008(Veestraeten, , 2013 or on put options (Hertrich, 2015;Hertrich & Zimmermann, 2017;Thomas, 2021), but not both; this may explain why the complications highlighted in the present paper have not previously been considered.…”
Section: Introductionmentioning
confidence: 99%