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ETF Primary Market Structure and Its Efficiency / Ewelina Anna Zurowska.
- Format:
- Book
- Thesis/Dissertation
- Author/Creator:
- Zurowska, Ewelina Anna, author.
- Language:
- English
- Subjects (All):
- Finance.
- Finance--Penn dissertations.
- Penn dissertations--Finance.
- Local Subjects:
- Finance.
- Finance--Penn dissertations.
- Penn dissertations--Finance.
- Physical Description:
- 1 online resource (94 pages)
- Distribution:
- Ann Arbor : ProQuest Dissertations & Theses, 2022
- Contained In:
- Dissertations Abstracts International 84-03A.
- Place of Publication:
- [Philadelphia, Pennsylvania] : University of Pennsylvania, 2022.
- Language Note:
- English
- Summary:
- The primary market of many US registered ETFs exhibits an oligopolistic structure, which is shown to have relevant implications for the pricing efficiency of those financial products. I show that the entry of an additional Authorized Participant (AP) corresponds to a decrease in the magnitude of ETF price deviations from Net Asset Value (NAV) of at least one basis point in ETFs with high primary market concentration. I build a dynamic equilibrium model of ETF primary market arbitrage that describes the trade-off faced by monopolistically competitive APs between waiting for mispricing to widen and pre-empting competitors from eliminating it. In the model, the creation unit size is shown to be an important friction driving the entry decision and, therefore, the magnitude of mispricing. Indeed, in the data, around one-third of all primary market transactions amount to one creation unit, suggesting that it is often a binding constraint. ETF split events and the creation unit size changes help to identify shocks to the dollar value of creation unit size empirically. I show that by cutting the creation unit size in half, mispricing decreases by almost two basis points, a magnitude consistent with that implied by my quantitative model.
- Notes:
- Source: Dissertations Abstracts International, Volume: 84-03, Section: A.
- Advisors: Roussanov, Nikolai; Committee members: Keim, Donald B.; Musto, David.
- Department: Finance.
- Ph.D. University of Pennsylvania 2022.
- Local Notes:
- School code: 0175
- ISBN:
- 9798351434162
- Access Restriction:
- Restricted for use by site license.
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