Abstract.

We consider a continuous-time financial market with no arbitrage and no transactions costs. In this setting, we introduce two types of perpetual contracts, one in which the payoff to the long side is a fixed function of the underlyers and the long side pays a funding rate to the short side, the other in which the payoff to the long side is a fixed function of the underlyers times a discount factor that changes over time but no funding payments are required. Assuming asset prices are continuous and strictly positive, we derive model-free expressions for the funding rate and discount rate of these perpetual contracts as well as replication strategies for the short side. When asset prices can jump, we derive expressions for the funding and discount rates, which are semirobust in the sense that they do not depend on the dynamics of the volatility process of the underlying risky assets, but do depend on the intensity of jumps under the market’s pricing measure. When asset prices can jump and the volatility process is independent of the underlying risky assets, we derive an explicit replication strategy for the short side of a perpetual contract. Throughout the paper, we illustrate through examples how specific perpetual contracts relate to traditional financial instruments such as variance swaps and leveraged exchange traded funds.

Keywords

  1. cryptocurrency
  2. decentralized finance
  3. perpetual contract

MSC codes

  1. 91-02

Get full access to this article

View all available purchase options and get full access to this article.

References

1.
C. Alexander, J. Choi, H. Park, and S. Sohn, Bitmex Bitcoin derivatives: Price discovery, informational efficiency, and hedging effectiveness, J. Futures Markets, 40 (2020), pp. 23–43.
2.
G. Angeris and T. Chitra, Improved price oracles: Constant function market makers, in Proceedings of the 2nd ACM Conference on Advances in Financial Technologies, AFT ’20, Association for Computing Machinery, New York, 2020, pp. 80–91.
3.
P. Carr and D. Madan, Towards a theory of volatility trading, in Option Pricing, Interest Rates and Risk Management, Handb. Math. Finance 22, Cambridge University Press, Cambridge, 2001, pp. 458–476.
5.
A. Evans, Liquidity Provider Returns in Geometric Mean Markets, preprint, arXiv:2006.08806, 2020.
6.
T. Leung and M. Santoli, Leveraged Exchange-Traded Funds: Price Dynamics and Options Valuation, Springer, New York, 2016.
7.
Y. Lewenberg, Y. Bachrach, Y. Sompolinsky, A. Zohar, and J. S. Rosenschein, Bitcoin mining pools: A cooperative game theoretic analysis, in Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015, pp. 919–927.
10.
R. J. Shiller, Measuring asset values for cash settlement in derivative markets: Hedonic repeated measures indices and perpetual futures, J. Finance, 48 (1993), pp. 911–931, https://doi.org/10.1111/ j.1540-6261.1993.tb04024.x.

Information & Authors

Information

Published In

cover image SIAM Journal on Financial Mathematics
SIAM Journal on Financial Mathematics
Pages: SC17 - SC30
ISSN (online): 1945-497X

History

Submitted: 8 September 2022
Accepted: 21 December 2022
Published online: 30 March 2023

Keywords

  1. cryptocurrency
  2. decentralized finance
  3. perpetual contract

MSC codes

  1. 91-02

Authors

Affiliations

Guillermo Angeris
Bain Capital Crypto, San Francisco, CA 94105 USA.
Tarun Chitra
Gauntlet Networks, Brooklyn, NY 11201 USA.
Alex Evans
Bain Capital Crypto, San Francisco, CA 94105 USA.
Department of Applied Mathematics, University of Washington, Seattle, WA 98195 USA.

Metrics & Citations

Metrics

Citations

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited By

View Options

View options

PDF

View PDF

Full Text

View Full Text

Figures

Tables

Media

Share

Share

Copy the content Link

Share with email

Email a colleague

Share on social media