Links table
Abstract and 1. Introduction
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background
2.1 Layer-2 Blockchains
2.2 Mariana project
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Work and related contribution
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The structure of the system
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model
5.1 Automated market makers
5.2 Price effect
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simulation
6.1 data and teachers
6.2 Results
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discussion
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Conclusions, estimates and references
Graphics and tables
There is an abundance of literature that discusses the implementation of CBDCS in various countries [23]and [13]and [12]and [21]and [5]But few research on exchange between CBDCS in Amms, with the exception of the Mariana project [4]. Lipton and Sib[20] Study the implicit costs (price effect) to exchange G-10 CBDCs in AmM with concentrated liquidity (UISWAP V3).
This work is the first research that takes the comprehensive approach to analyzing the total costs of the exchange of CBDCS in various AMMS, including StablesWAP Invariant (Curve V2), applied in Project Mariana. This study found that the Multi-AMM setting to exchange CBDCS on L2 is more efficient than AMM from the Mariana project, although liquidity segmentation between the various AMMS. A multi -disease system is presented on the private L2, and its behavior is evaluated through simulation based on historical FX rates, and the Mariana project has been created as a standard.
This work makes the following contributions.
-Show Multi-Mess settings to exchange CBDCS is more efficient than one AMM cost.
-Design such multi -disease settings to exchange CBDCS using L2 and L3 Blockchains and show their superior performance of small, medium and largest transactions and any treatment in the event of a high gas fee.
-A preliminary detailed analysis of the total costs of the CBDCS on the AMM-DEX- GAS fees, and the exchange fees (frank fees), and the effect of prices (frank fees), between the various AMMS, L1 and L2-based DEXES.
-Providing quantitative measures to assess CBDCS efficiency on border on Dexes for the main AMMS. Its implementation is available in the GitHub General Ware [17]
-Simulating framework on the historical FX rate that can be repeated in CBDCS projects across border or DEFI permission in ETHEREUM ecosuarity. For all standards, the sports background and numerical methods are provided with implementation, such as the Newthon-Caphon method of the effect of the Cryptoswap ongoing in Project Mariana.
Authors:
(1) KrZysztof Gogol, Zurich University ([email protected]);
(2) Jonnatan Messias, Matter Labs;
(3) Malati Shaluser, Zurich University;
(4) Benjamin Kranner, University of Zurich;
(5) Claudio Tesson, University of Zurich.
