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Quantitative Finance
Article . 2023 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
SSRN Electronic Journal
Article . 2022 . Peer-reviewed
Data sources: Crossref
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Weighted variance swaps hedge against Impermanent Loss

Authors: Masaaki Fukasawa; Basile Maire; Marcus Wunsch;

Weighted variance swaps hedge against Impermanent Loss

Abstract

Decentralized Exchanges (DEXes) allow users to trade in a fully noncustodial manner. Traders can directly swap their digital currencies using a smart contract, a program running on the blockchain, rather than trusting a central counterparty with their funds. In the early stages, the low throughput of blockchains required another trading model than the traditional order book approach, which gave rise to Automated Market Makers (AMMs). An AMM is a smart contract that determines the price for which traders can swap their digital currency against another digital currency. For the trade to happen, liquidity providers lock digital currencies into a smart contract, the liquidity pool. The AMM deposits the trader's digital currency into the liquidity pool and pays the trader with the other digital currency from the liquidity pool according to the price provided by the AMM. This alters the amounts owned by liquidity providers. In turn, liquidity providers earn trading fees, cf. Mohan (Citation2022). In a Constant Function Market, the AMM determines the price via a so-called trading function – a function of the liquidity pool's reserves – so that the value of the trading function given the post-trade reserves equals its value given the pre-trade reserves.

Country
Switzerland
Keywords

Decentralized exchange, Digital currency, 332.6: Investition, Impairment loss, Weighted variance swap

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Top 10%
Top 10%
hybrid