Herding behavior in conventional cryptocurrency market, non-fungible tokens, and DeFi assets.
Imran Yousaf; Larisa Yarovaya · 2022 · Finance research letters
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
The finding, in one line
“While static herding analysis failed to demonstrate any evidence of herding, the time-varying herding has been identified in conventional cryptocurrencies and DeFi assets for the short investment horizons.”
Abstract
We examine the static and time-varying herding behavior in three cryptocurrency classes: ‘conventional’ cryptocurrencies, non-fungible tokens, and DeFi assets during the most recent cryptocurrency bubble of 2021. While static herding analysis failed to demonstrate any evidence of herding, the time-varying herding has been identified in conventional cryptocurrencies and DeFi assets for the short investment horizons. The herding asymmetry analysis reveals that herding is not evident in conventional cryptocurrencies and NFT during up/down market, high/low volatility days, and high/low trading day
Abstract by Imran Yousaf; Larisa Yarovaya, Finance research letters (2022) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1016/j.frl.2022.103299