---
title: The Intraday Bitcoin Response to Tether Minting and Burning Events: Asymmetry, Investor Sentiment, And "Whale Alerts" On Twitter
url: https://www.ml-quant.com/papers/doi/10-1016-j-frl-2022-103096/
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: doi:10.1016/j.frl.2022.103096
source_url: http://dx.doi.org/10.1016/j.frl.2022.103096
featured: 2025-01-15
citations: 21
topic: Crypto & DeFi
---


# The Intraday Bitcoin Response to Tether Minting and Burning Events: Asymmetry, Investor Sentiment, And "Whale Alerts" On Twitter

Bitcoin's value increases with Tether minting events, particularly when publicized and amid positive investor sentiment, but this effect lessens after an hour.

- Source: http://dx.doi.org/10.1016/j.frl.2022.103096
- Identifier: doi:10.1016/j.frl.2022.103096
- Released: 2025-01-09
- First featured: Quant Letter No. 82 (2025-01-15): https://www.ml-quant.com/issues/2025-01-15/
- Citations (Semantic Scholar): 21
- Published in: Finance Research Letters
- Topic: Crypto & DeFi

## Related

- [Different Aspects of Heterogeneity in the Crypto-Asset Market: A Systematic Review of Empirical Studies](https://www.ml-quant.com/papers/ssrn/4947445/): A review of 200+ studies on the cryptoasset market highlights variations in asset-wise, time-varying, and time-frequency domains, emphasizing market connectedness and sentiment analysis during COVID-19.
- [Bitcoin Sentiment Index and Asset Classes Connectedness: An International Evidence](https://www.ml-quant.com/papers/ssrn/4817777/): The study investigates the influence of Bitcoin investors' sentiments on global stock market volatility and the relationship between Bitcoin and other financial assets.
- [Emoji driven crypto assets market reactions](https://www.ml-quant.com/papers/ssrn/4722627/): Research using GPT4 and a BERT model shows that Twitter emoji sentiment can predict cryptocurrency market trends and help avoid major downturns.
- [From Whales to Waves: The Role of Social Media Sentiment in Shaping Cryptocurrency Markets](https://www.ml-quant.com/papers/ssrn/4706410/): The paper explores the correlation between cryptocurrency market trends and investor sentiment, revealing a significant connection, especially influenced by large-scale investors.
- [Transformer-based approach for Ethereum Price Prediction Using Crosscurrency correlation and Sentiment Analysis](https://www.ml-quant.com/papers/arxiv/2401.08077/): The research uses a transformer-based neural network to forecast Ethereum prices, indicating a strong correlation with other cryptocurrencies and sentiments, and suggests a theory on sentiment-driven illusion of causality in cryptocurrency price movements.
- [Causality between Sentiment and Cryptocurrency Prices](https://www.ml-quant.com/papers/arxiv/2306.05803/): A Narrative Study: A study has been conducted to examine the correlation between narratives on Twitter and the value of cryptocurrency. The study used topic modelling and sentiment analysis to identify 4-5 cryptocurrency-related narratives and their impact on crypto prices.
