2016
DOI: 10.1016/j.jbankfin.2016.04.012
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Market makers’ optimal price-setting policy for exchange-traded certificates

Abstract: This paper considers the pricing of certificates on exchanges for retail investors. The contribution to the literature is twofold: (i) We provide the first theoretical model that analyzes the optimal, i.e. profit-maximizing price-setting policy of the issuer over a certificate's life time. Our model derives and examines the nexus between optimal markup and optimal spread inter-temporally set by the issuer, unhedgeable risk faced by the issuer, and investors' buying and selling decisions. (ii) Analyzing the Ger… Show more

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Cited by 12 publications
(36 citation statements)
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References 75 publications
(64 reference statements)
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“…Strikingly, all of the nine averaged ISV curves have a significant negative slope, when in fact the averaged VDAX has a small positive gradient. Hence, in line with the demand pattern reported by Baller et al (2016), a decrease in volatility quoting over time might reflect the intention of issuers to exploit the trading behavior of investors: In the early hours, net demand is higher, while in the late hours more investors tend to sell their warrants back to the issuer. The size of this effect is considerable: the reduction in implied volatility over the day ranges from −4 basis points (HSBC) to −15 basis points (Vontobel), on average, while the VDAX increases by 1.5 basis points.…”
Section: Volatility Quotingsupporting
confidence: 56%
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“…Strikingly, all of the nine averaged ISV curves have a significant negative slope, when in fact the averaged VDAX has a small positive gradient. Hence, in line with the demand pattern reported by Baller et al (2016), a decrease in volatility quoting over time might reflect the intention of issuers to exploit the trading behavior of investors: In the early hours, net demand is higher, while in the late hours more investors tend to sell their warrants back to the issuer. The size of this effect is considerable: the reduction in implied volatility over the day ranges from −4 basis points (HSBC) to −15 basis points (Vontobel), on average, while the VDAX increases by 1.5 basis points.…”
Section: Volatility Quotingsupporting
confidence: 56%
“…Baller et al (2016) present a theoretical model and an extensive empirical study of the intra-day pricing behavior of leverage certificate issuers. So while these effects work in opposite directions, Baller et al (2016) show that the first is stronger, as issuers tend to increase their mark-ups over a trading day on average. This risk increases during the day, so it is reasonable for issuers to increase their quotes during a trading day.…”
Section: Volatility Quotingmentioning
confidence: 99%
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