---
title: Dynamics of VLT
url: https://www.ml-quant.com/papers/ssrn/4885174/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 4885174
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4885174
featured: 2024-07-10
citations: unknown
topic: Crypto & DeFi
---


# Dynamics of VLT

The piece warns about the risks of variable leveraged tokens on Binance crypto exchanges, due to the lack of information on potential losses and the absence of margin calls.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4885174
- Identifier: SSRN 4885174
- Released: 2023-03-01
- First featured: Quant Letter No. 56 (2024-07-10): https://www.ml-quant.com/issues/2024-07-10/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Crypto & DeFi

## Related

- [Factors Influencing Cryptocurrency Prices: Evidence from Bitcoin, Ethereum, Dash, Litcoin, and Monero](https://www.ml-quant.com/papers/arxiv/2511.22782/): The study examines the price factors influencing five major cryptocurrencies from 2010-2018, highlighting the roles of market conditions, long-term appeal, and the SP500 index.
- [No Questions Asked: Effects of Transparency on Stablecoin Liquidity During the Collapse of Silicon Valley Bank](https://www.ml-quant.com/papers/arxiv/2407.11716/): The study shows that in times of market instability, the transparency of the USDC cryptocurrency leads to quick market responses, while the lack of transparency of USDT acts as a buffer against immediate effects. This suggests that investors may seek safety in less transparent cryptocurrencies during turbulent times.
- [Quantifying the Blockchain Trilemma: A Comparative Analysis of Algorand, Ethereum 2.0, and Beyond](https://www.ml-quant.com/papers/arxiv/2407.14335/): Algorand vs Ethereum 2.0: The study assesses the effectiveness of Algorand and Ethereum 2.0 in tackling the Blockchain Trilemma by examining their decentralization, security, and scalability.
- [Gas fees on the Ethereum blockchain: from foundations to derivative valuations](https://www.ml-quant.com/papers/arxiv/2406.06524/): The article discusses the gas fee in Ethereum's blockchain, considering the resources needed for transactions and the effect of gas price volatility. It suggests that pricing and trading forwards could help manage cost fluctuations.
- [Cryptocurrencies as a Vehicle for Capital Exodus: Evidence from the Russian-Ukrainian Crisis](https://www.ml-quant.com/papers/ssrn/4916198/): The Russia-Ukraine conflict has boosted the trading volume of most cryptocurrencies, particularly payment tokens and utility coins, with Ripple being significantly affected, as per an event study analysis.
- [Optimal Market-Neutral Multivariate Pair Trading on the Cryptocurrency Platform](https://www.ml-quant.com/papers/arxiv/2405.15461/): The study presents an Optimal Trading Technique (OTT) for cryptocurrency trading, which uses a dual-objective optimization process to balance profit and risk, achieving a 15.49% annual profit in various market conditions.