A mean field game model of staking system
Author
Abstract
Suggested Citation
DOI: 10.1007/s42521-024-00113-4
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Fahad Saleh & Wei Jiang, 2021. "Blockchain without Waste: Proof-of-Stake [Proof of Work vs Proof of Stake]," The Review of Financial Studies, Society for Financial Studies, vol. 34(3), pages 1156-1190.
- Lin William Cong & Ye Li & Neng Wang, 2021.
"Tokenomics: Dynamic Adoption and Valuation [The demand of liquid assets with uncertain lumpy expenditures],"
The Review of Financial Studies, Society for Financial Studies, vol. 34(3), pages 1105-1155.
- Cong, Lin William & Li, Ye & Wang, Neng, 2018. "Tokenomics: Dynamic Adoption and Valuation," Working Paper Series 2018-15, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
- Lin William Cong & Ye Li & Neng Wang, 2020. "Tokenomics: Dynamic Adoption and Valuation," NBER Working Papers 27222, National Bureau of Economic Research, Inc.
- Rene Carmona, 2020. "Applications of Mean Field Games in Financial Engineering and Economic Theory," Papers 2012.05237, arXiv.org.
- Merton, Robert C, 1969. "Lifetime Portfolio Selection under Uncertainty: The Continuous-Time Case," The Review of Economics and Statistics, MIT Press, vol. 51(3), pages 247-257, August.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Jingguo Zhang & Lianhai Ren, 2024. "A mean field game model of green economy," Digital Finance, Springer, vol. 6(4), pages 657-692, December.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Jongsub Lee & Tao Li & Donghwa Shin, 2022. "The Wisdom of Crowds in FinTech: Evidence from Initial Coin Offerings," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 11(1), pages 1-46.
- Hinzen, Franz J. & John, Kose & Saleh, Fahad, 2022. "Bitcoin’s limited adoption problem," Journal of Financial Economics, Elsevier, vol. 144(2), pages 347-369.
- Yulin Liu & Luyao Zhang, 2022. "Cryptocurrency Valuation: An Explainable AI Approach," Papers 2201.12893, arXiv.org, revised Jul 2023.
- Matteo Benetton & Giovanni Compiani, 2024. "Investors’ Beliefs and Cryptocurrency Prices," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 14(2), pages 197-236.
- Michael Sockin & Wei Xiong, 2021. "A Model of Cryptocurrencies," Working Papers 2021-67, Princeton University. Economics Department..
- Chod, Jiri & Lyandres, Evgeny, 2023. "Product market competition with crypto tokens and smart contracts," Journal of Financial Economics, Elsevier, vol. 149(1), pages 73-91.
- Chen, Meichen & Qin, Cong & Zhang, Xiaoyu, 2022. "Cryptocurrency price discrepancies under uncertainty: Evidence from COVID-19 and lockdown nexus," Journal of International Money and Finance, Elsevier, vol. 124(C).
- Garud Iyengar & Fahad Saleh & Jay Sethuraman & Wenjun Wang, 2023. "Economics of Permissioned Blockchain Adoption," Management Science, INFORMS, vol. 69(6), pages 3415-3436, June.
- An, Jongbong & Jeon, Junkee & Kim, Takwon, 2025. "Optimal portfolio and retirement decisions with costly job switching options," Applied Mathematics and Computation, Elsevier, vol. 491(C).
- Chhatwani, Malvika & Parija, Arpit Kumar, 2023. "Who invests in cryptocurrency? The role of overconfidence among American investors," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 107(C).
- Anne Lavigne, 2006.
"Gouvernance et investissement des fonds de pension privés aux Etats-Unis,"
Working Papers
halshs-00081401, HAL.
- Anne LAVIGNE, 2006. "Gouvernance et investissement des fonds de pension privés aux Etats-Unis," LEO Working Papers / DR LEO 690, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
- Schmück, Kilian & Schückes, Magnus & Gutmann, Tobias & Gassmann, Oliver, 2025. "Less trust, more truth: Implications and design choices for business models and platform ecosystems in the age of Web3," Technological Forecasting and Social Change, Elsevier, vol. 211(C).
- An Chen & Thai Nguyen & Thorsten Sehner, 2022. "Unit-Linked Tontine: Utility-Based Design, Pricing and Performance," Risks, MDPI, vol. 10(4), pages 1-27, April.
- Alan J. Auerbach, 1981. "Evaluating the Taxation of Risky Assets," NBER Working Papers 0806, National Bureau of Economic Research, Inc.
- Hong, Claire Yurong & Lu, Xiaomeng & Pan, Jun, 2021. "FinTech adoption and household risk-taking," BOFIT Discussion Papers 14/2021, Bank of Finland Institute for Emerging Economies (BOFIT).
- Curatola, Giuliano, 2022. "Price impact, strategic interaction and portfolio choice," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
- Auffret, Philippe, 2001. "An alternative unifying measure of welfare gains from risk-sharing," Policy Research Working Paper Series 2676, The World Bank.
- Luca De Gennaro Aquino & Sascha Desmettre & Yevhen Havrylenko & Mogens Steffensen, 2024. "Equilibrium control theory for Kihlstrom-Mirman preferences in continuous time," Papers 2407.16525, arXiv.org, revised Oct 2024.
- Chen, An & Hieber, Peter & Sureth, Caren, 2022. "Pay for tax certainty? Advance tax rulings for risky investment under multi-dimensional tax uncertainty," arqus Discussion Papers in Quantitative Tax Research 273, arqus - Arbeitskreis Quantitative Steuerlehre.
- Mayank Goel & Suresh Kumar K., 2006. "A Risk-Sensitive Portfolio Optimisation Problem with Stochastic Interest Rate," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 5(3), pages 263-282, December.
More about this item
Keywords
Game theory; Mean field game; Cryptocurrency; Staking system; Tokenomics; Reinforcement learning;All these keywords.
JEL classification:
- C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
- C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
- C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:digfin:v:6:y:2024:i:3:d:10.1007_s42521-024-00113-4. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.