Xu Zhang , Muhammad Abubakr Naeem , Yuting Du , Abdul Rauf
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引用次数: 0
Abstract
This study introduces a novel bidirectional ripple effect method to identify the risky center, hedging center, and duration of ripple effects. This method is used to examine the static and dynamic ripple effects among NFTs using idiosyncratic volatility measures. The findings indicate that, overall, correlations and bidirectional ripple effects among NFTs are prominent over the sample period. Only a few NFTs are significant ripple centers. Decentraland is a significant risky center, while CryptoVoxels serves as a reliable hedging center. The outcomes of rolling window tests and durations reveal that the central role of NFTs varies over time. The findings also show that ripple effects have significant durations. These conclusions hold considerable importance for NFT investors in making investment choices and managing risks.
期刊介绍：
Behavioral and Experimental Finance represent lenses and approaches through which we can view financial decision-making. The aim of the journal is to publish high quality research in all fields of finance, where such research is carried out with a behavioral perspective and / or is carried out via experimental methods. It is open to but not limited to papers which cover investigations of biases, the role of various neurological markers in financial decision making, national and organizational culture as it impacts financial decision making, sentiment and asset pricing, the design and implementation of experiments to investigate financial decision making and trading, methodological experiments, and natural experiments.
Journal of Behavioral and Experimental Finance welcomes full-length and short letter papers in the area of behavioral finance and experimental finance. The focus is on rapid dissemination of high-impact research in these areas.
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