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

Published 9 Jan 2025 in q-fin.GN, q-fin.PR, q-fin.TR, and cs.SI | (2501.05232v1)

Abstract: Tether Limited has the sole authority to create (mint) and destroy (burn) Tether stablecoins (USDT). This paper investigates Bitcoin's response to USDT supply change events between 2014 and 2021 and identifies an interesting asymmetry between Bitcoin's responses to USDT minting and burning events. Bitcoin responds positively to USDT minting events over 5- to 30-minute event windows, but this response begins declining after 60 minutes. State-dependence is also demonstrated, with Bitcoin prices exhibiting a greater increase when the corresponding USDT minting event coincides with positive investor sentiment and is announced to the public by data service provider, Whale Alert, on Twitter.

Authors (1)

Summary

  • The paper finds a significant positive price impact (0.24%-0.68% increase within 5-30 minutes) following Tether minting events.
  • The study reveals an asymmetry where burning events do not trigger comparable negative reactions, indicating FOMO-driven investor behavior.
  • The research integrates high-frequency trading data, robust econometric tests, and social media signals to illuminate market dynamics.

Asymmetric Responses in Cryptocurrency Markets: Bitcoin's Reaction to Tether Events

The study by Aman Saggu meticulously examines the intraday response of Bitcoin (BTC) to alterations in Tether (USDâ‚®) supply, specifically minting and burning events, during the period from 2014 to 2021. This research contributes to the field of cryptocurrency finance by providing a granular analysis of Bitcoin's immediate reactions to changes in the Tether supply, along with the psychological influences inferred from investor sentiment and social media signals.

Bitcoin's reaction to Tether minting events is characterized by a short-term positive response, peaking during 5- to 30-minute event windows, with the initial reaction diminishing within 60 minutes. This is quantitatively represented by a 0.24% increase in Bitcoin price for a minting of 1 billion USDâ‚® in a 5-minute window, which scales up to a 0.68% increase in a 30-minute window, before declining. This rapid price adjustment can be attributed to high-frequency trading and aligns with the hypothesis that minting events are interpreted as positive signals by the market, indicative of increased cryptocurrency demand.

Interestingly, a key finding reveals an asymmetry in Bitcoin's response to Tether's minting versus burning. While minting events elicit significant positive price changes, burning events do not yield equally significant negative responses, a phenomenon supported by statistical tests, including Wald tests. The absence of a significant negative reaction to burning is interpreted within the framework of the Fear Of Missing Out (FOMO), asserting that investors exhibit a stronger response to positive news events.

Further, the study explores the role of investor sentiment and public announcements in modulating Bitcoin's response. The analysis incorporates investor sentiment indices such as the Crypto Fear & Greed Index and the Lunde and Timmermann filter. Findings show that Bitcoin's positive response to minting events is more pronounced during periods of positive sentiment. Additionally, announcements by Whale Alert on Twitter significantly amplify the positive impacts of minting events, highlighting the influence of social media and information dissemination on market dynamics.

The research employs robust econometric methodologies, including ordinary least squares (OLS) and MM-weighted least squares estimates, to ensure the resilience of the results against potential anomalies, such as high-frequency trading noise.

The implications of this study are multifaceted. Practically, it provides cryptocurrency traders with insights into exploiting short-term price movements following Tether minting. Theoretically, it sheds light on the intrinsic behavioral biases present in cryptocurrency markets, particularly emphasizing the impact of investor psychology and information externalities on asset pricing.

Looking ahead, it is pertinent to explore whether similar asymmetric responses exist in the broader cryptocurrency ecosystem beyond Bitcoin. Additionally, future research could investigate the interconnectedness between stablecoin activities and volatility spillovers in cryptocurrency markets, unpacking the complex dynamics that govern investor behavior and market efficiency in the rapidly evolving digital finance landscape.

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