Pricing and clearing combinatorial markets with singleton and swap orders: Efficient algorithms for the futures opening auction problem

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Details zur Publikation

Autorinnen und Autoren: Müller J, Pokutta S, Martin A, Pape S, Peter A, Winter T
Zeitschrift: Mathematical Methods of Operations Research
Jahr der Veröffentlichung: 2017
Band: 85
Heftnummer: 2
Seitenbereich: 155-177
ISSN: 1432-2994
Sprache: Englisch


Abstract


In this article we consider combinatorial markets with valuations only for singletons and pairs of buy/sell-orders for swapping two items in equal quantity. We provide an algorithm that permits polynomial time market-clearing and -pricing. The results are presented in the context of our main application: the futures opening auction problem. Futures contracts are an important tool to mitigate market risk and counterparty credit risk. In futures markets these contracts can be traded with varying expiration dates and underlyings. A common hedging strategy is to roll positions forward into the next expiration date, however this strategy comes with significant operational risk. To address this risk, exchanges started to offer so-called futures contract combinations, which allow the traders for swapping two futures contracts with different expiration dates or for swapping two futures contracts with different underlyings. In theory, the price is in both cases the difference of the two involved futures contracts. However, in particular in the opening auctions price inefficiencies often occur due to suboptimal clearing, leading to potential arbitrage opportunities. We present a minimum cost flow formulation of the futures opening auction problem that guarantees consistent prices. The core ideas are to model orders as arcs in a network, to enforce the equilibrium conditions with the help of two hierarchical objectives, and to combine these objectives into a single weighted objective while preserving the price information of dual optimal solutions. The resulting optimization problem can be solved in polynomial time and computational tests establish an empirical performance suitable for production environments.



FAU-Autorinnen und Autoren / FAU-Herausgeberinnen und Herausgeber

Martin, Alexander Prof. Dr.
Lehrstuhl für Angewandte Mathematik (Gemischt-ganzzahlige lineare und nichtlineare Optimierung)
Müller, Johannes
Lehrstuhl für Angewandte Mathematik (Gemischt-ganzzahlige lineare und nichtlineare Optimierung)
Pape, Susanne
Lehrstuhl für Angewandte Mathematik (Gemischt-ganzzahlige lineare und nichtlineare Optimierung)
Peter, Andrea
Lehrstuhl für Angewandte Mathematik (Gemischt-ganzzahlige lineare und nichtlineare Optimierung)


Einrichtungen weiterer Autorinnen und Autoren

Eurex Frankfurt AG
Georgia Institute of Technology


Zitierweisen

APA:
Müller, J., Pokutta, S., Martin, A., Pape, S., Peter, A., & Winter, T. (2017). Pricing and clearing combinatorial markets with singleton and swap orders: Efficient algorithms for the futures opening auction problem. Mathematical Methods of Operations Research, 85(2), 155-177. https://dx.doi.org/10.1007/s00186-016-0555-z

MLA:
Müller, Johannes, et al. "Pricing and clearing combinatorial markets with singleton and swap orders: Efficient algorithms for the futures opening auction problem." Mathematical Methods of Operations Research 85.2 (2017): 155-177.

BibTeX: 

Zuletzt aktualisiert 2018-10-08 um 21:27