Arbitrage and Liquidity: Evidence from a Panel of Exchange Traded Funds
David E. Rappoport and
Tugkan Tuzun
Additional contact information
David E. Rappoport: https://www.federalreserve.gov/econres/david-e-rappoport.htm
Tugkan Tuzun: https://www.federalreserve.gov/econres/tugkan-tuzun.htm
No 2020-097, Finance and Economics Discussion Series from Board of Governors of the Federal Reserve System (U.S.)
Abstract:
Market liquidity is expected to facilitate arbitrage, which in turn should affect the liquidity of the assets traded by arbitrageurs. We study this relationship using a unique dataset of equity and bond ETFs compiled from big trade-level data. We find that liquidity is an important determinant of the efficacy of the ETF arbitrage. For less liquid bond ETFs, Granger-causality tests and impulse responses suggest that this relationship is stronger and more persistent, and liquidity spillovers are observed from portfolio constituents to ETF shares. Our results inform the design of synthetic securities, especially when derived from less liquid instruments.
Keywords: exchange-traded funds; ETF; Market liquidity; Law of one-price; Arbitrage; ETF premium (search for similar items in EconPapers)
JEL-codes: G12 G14 (search for similar items in EconPapers)
Pages: 46 p.
Date: 2020-11-30
New Economics Papers: this item is included in nep-fmk
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.federalreserve.gov/econres/feds/files/2020097pap.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:fip:fedgfe:2020-97
DOI: 10.17016/FEDS.2020.097
Access Statistics for this paper
More papers in Finance and Economics Discussion Series from Board of Governors of the Federal Reserve System (U.S.) Contact information at EDIRC.
Bibliographic data for series maintained by Ryan Wolfslayer ; Keisha Fournillier ().