| 研究生: |
黃力柏 Huang, Li-Bo |
|---|---|
| 論文名稱: |
非同質化代幣成交價之研究—考量銷售者身份 The Trading Price of Non-Fungible Token:Considering the Identity of the Seller |
| 指導教授: |
廖麗凱
Liao, Li-Kai |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 會計學系 Department of Accountancy |
| 論文出版年: | 2023 |
| 畢業學年度: | 111 |
| 語文別: | 中文 |
| 論文頁數: | 41 |
| 中文關鍵詞: | 非同質化代幣 、銷售者身分 、成交價 、博傻理論 、羊群效應 |
| 外文關鍵詞: | Non-Fungible token, Seller identity, Transaction price, Greater fool theory, Herding effect |
| 相關次數: | 點閱:72 下載:0 |
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非同質化代幣(NFT)是架構在區塊鏈上的一種新興應用,具有稀有性、交易公開透明、不可替代等特性。隨著金融科技發展,NFT之定價為重要之實證議題。過去文獻證實稀有性是影響NFT價值的重要變量,但對於其他影響成交價因素的文獻仍相當匱乏。本研究以三個不同類別的熱門NFT項目(分別屬於頭像類、收藏品類、實用品類)為研究樣本,探討在2021年5月1日至2022年8月31日間NFT交易之銷售者身份和成交價之關聯性。實證結果發現,當銷售者地址為巨鯨或超級藍籌持有者身份時,成交價顯著高於非巨鯨或非超級藍籌持有者身份;當銷售者地址為巨鯨並同時具備超級藍籌持有者身份時,成交價顯著高於其他市場參與者。上述實證結果支持本文假說,亦即,投資者容易有非理性投資行為,導致銷售者身份的確會顯著影響NFT交易之成交價。另外,本研究亦發現,實用品類的NFT項目其銷售者身分對成交價之影響力較為薄弱,推測此結果可能是因為精明投資者偏好具有收藏價值之NFT,而實用品類NFT較不具收藏性質所導致。
Non-Fungible token (NFT) is an emerging application built on the blockchain, which has the characteristics of rarity, open and transparent transactions, and non-substitutable. With the development of financial technology(FinTech), the pricing of NFT has been an important empirical issue. Past literature has confirmed that rarity is an important variable affecting the value of NFT, but the literature on other factors that affect transaction prices is still quite scarce. This study uses three different categories of popular NFT collectibles (respectively belonging to avatars, collectibles, and utilities) as research samples to explore the relation between identity of the seller and the price of NFT transactions during May 1, 2021 and August 31, 2022. The empirical results show that when the seller's address is the identity of the whale or super blue chip holder, the transaction price is significantly higher than that of the non-whale or non-super blue chip holder. When the seller's address is a whale and the super blue chip holder, the transaction price is significantly higher than other market participants. The above empirical results support the hypothesis that investors are prone to irrational investment behavior, and the identity of the seller will indeed significantly affect the transaction price of NFT transactions. In addition, this study also found that the influence of the identity of the seller of practical NFT projects on the transaction price is relatively weak, and it is speculated that this result may be due to the preference of sophisticated investors for collectible NFTs, while practical NFT is less collectible.
Aharon, D. Y., & Demir, E. (2022). NFTs and asset class spillovers: Lessons from the period around the COVID-19 pandemic. Finance Research Letters, 47, 102515.
Anamika, Chakraborty, M., & Subramaniam, S. (2021). Does sentiment impact cryptocurrency?. Journal of Behavioral Finance, 1-17.
Ante, L. (2022a). The non-fungible token (NFT) market and its relationship with Bitcoin and Ethereum. FinTech, 1(3), 216-224.
Ante, L. (2022b). Non-fungible token (NFT) markets on the Ethereum blockchain: Temporal development, cointegration and interrelations. Economics of Innovation and New Technology, 1-19.
Baals, L. J., Lucey, B. M., Vigne, S. A., & Long, C. (2022). Towards a Research Agenda on the Financial Economics of NFT’s. Available at SSRN 4070710.
Ballis, A., & Drakos, K. (2020). Testing for herding in the cryptocurrency market. Finance Research Letters, 33, 101210.
Bao, H., & Roubaud, D. (2022). Non-Fungible Token: A Systematic Review and Research Agenda. Journal of Risk and Financial Management, 15(5), 215.
Blau, B. M., DeLisle, J. R., & Price, S. M. (2015). Do sophisticated investors interpret earnings conference call tone differently than investors at large? Evidence from short sales. Journal of Corporate Finance, 31, 203-219.
Borri, N., Liu, Y., & Tsyvinski, A. (2022). The Economics of Non-Fungible Tokens. Available at SSRN 4052045.
Bouri, E., Gupta, R., & Roubaud, D. (2019). Herding behaviour in cryptocurrencies. Finance Research Letters, 29, 216-221.
Campbell, J. Y., Giglio, S., & Pathak, P. (2011). Forced sales and house prices. American Economic Review, 101(5), 2108-31.
Chalmers, D., Fisch, C., Matthews, R., Quinn, W., & Recker, J. (2022). Beyond the bubble: Will NFTs and digital proof of ownership empower creative industry entrepreneurs?. Journal of Business Venturing Insights, 17, e00309.
Corbet, S., Hou, Y. G., Hu, Y., Larkin, C., Lucey, B., & Oxley, L. (2022). Cryptocurrency liquidity and volatility interrelationships during the COVID-19 pandemic. Finance Research Letters, 45, 102137.
Dowling, M. (2022a). Fertile LAND: Pricing non-fungible tokens. Finance Research Letters, 44, 102096.
Dowling, M. (2022b). Is non-fungible token pricing driven by cryptocurrencies?. Finance Research Letters, 44, 102097.
Franceschet, M. (2021). HITS hits art. Blockchain: Research and Applications, 2(4), 100038.
Frazzini, A., & Lamont, O. A. (2008). Dumb money: Mutual fund flows and the cross-section of stock returns. Journal of financial economics, 88(2), 299-322.
Goldberg, M., Kugler, P., & Schär, F. (2021). The economics of blockchain-based virtual worlds: A hedonic regression model for virtual land. Available at SSRN 3932189.
Grossman, S. J., & Stiglitz, J. E. (1980). On the impossibility of informationally efficient markets. The American economic review, 70(3), 393-408.
Horky, F., Rachel, C., & Fidrmuc, J. (2022). Price Determinants of Non-fungible Tokens in the Digital Art Market. Finance Research Letters, 103007.
Jiambalvo, J., Rajgopal, S., & Venkatachalam, M. (2002). Institutional ownership and the extent to which stock prices reflect future earnings. Contemporary accounting research, 19(1), 117-145.
Karim, S., Lucey, B. M., Naeem, M. A., & Uddin, G. S. (2022). Examining the interrelatedness of NFTs, DeFi tokens and cryptocurrencies. Finance Research Letters, 102696.
Kireyev, P., & Lin, R. (2021). Infinite but rare: valuation and pricing in marketplaces for blockchain-based nonfungible tokens.
Kong, D. R., & Lin, T. C. (2021). Alternative investments in the Fintech era: The risk and return of Non-Fungible Token (NFT). Available at SSRN 3914085.
Ko, H., Son, B., Lee, Y., Jang, H., & Lee, J. (2022). The economic value of NFT: Evidence from a portfolio analysis using mean–variance framework. Finance Research Letters, 47, 102784.
Kräussl, R., & Tugnetti, A. (2022). Non-Fungible Tokens (NFTs): A Review of Pricing Determinants, Applications and Opportunities. Applications and Opportunities (May 17, 2022).
Maouchi, Y., Charfeddine, L., & El Montasser, G. (2022). Understanding digital bubbles amidst the COVID-19 pandemic: Evidence from DeFi and NFTs. Finance Research Letters, 47, 102584.
Nadini, M., Alessandretti, L., Di Giacinto, F., Martino, M., Aiello, L. M., & Baronchelli, A. (2021). Mapping the NFT revolution: market trends, trade networks, and visual features. Scientific reports, 11(1), 20902.
NFTGO. (2022, April 2). Where Does the Value Come from: Is Blue-Chip NFT Rarity and Price Correlated? Retrieved from https://nftgo.io/research/insights/7js08_lHejf4sD7cIuQpUy3XlMh9p9OVqGhm_9WKECY
NFTLabs (2021年5月19日),「如何給NFT估值?」。鏈報。檢自:https://www.chaindaily.cc/posts/2f6ab1f16b415852470d0947613f7dbb
Papadamou, S., Kyriazis, N. A., Tzeremes, P., & Corbet, S. (2021). Herding behaviour and price convergence clubs in cryptocurrencies during bull and bear markets. Journal of Behavioral and Experimental Finance, 30, 100469.
PA薦讀(2021年10月11日),「一文讀懂NFT:全面解析NFT發展簡史、價值及未來」。PANews。檢自:https://www.panewslab.com/zh_hk/articledetails/1633923743275664.html
Renneboog, L., & Spaenjers, C. (2013). Buying beauty: On prices and returns in the art market. Management Science, 59(1), 36-53.
Sarkodie, S. A., Ahmed, M. Y., & Owusu, P. A. (2022). COVID-19 pandemic improves market signals of cryptocurrencies–evidence from Bitcoin, Bitcoin Cash, Ethereum, and Litecoin. Finance Research Letters, 44, 102049.
Schaar, L., & Kampakis, S. (2022). Non-fungible tokens as an alternative investment: Evidence from cryptopunks. The Journal of The British Blockchain Association.
Umar, Z., Alwahedi, W., Zaremba, A., & Vo, X. V. (2022). Return and volatility connectedness of the non-fungible tokens segments. Journal of Behavioral and Experimental Finance, 100692.
Umar, Z., Gubareva, M., Teplova, T., & Tran, D. K. (2022). COVID-19 impact on NFTs and major asset classes interrelations: Insights from the wavelet coherence analysis. Finance Research Letters, 102725.
Urom, C., Ndubuisi, G., & Guesmi, K. (2022). Dynamic dependence and predictability between volume and return of Non-Fungible Tokens (NFTs): The roles of market factors and geopolitical risks. Finance Research Letters, 103188.
von Wachter, V., Jensen, J. R., Regner, F., & Ross, O. (2022). NFT wash trading: Quantifying suspicious behaviour in NFT markets. arXiv preprint arXiv:2202.03866.
Wang, Q., Li, R., Wang, Q., & Chen, S. (2021). Non-fungible token (NFT): Overview, evaluation, opportunities and challenges. arXiv preprint arXiv:2105.07447.
Wilson, K. B., Karg, A., & Ghaderi, H. (2022). Prospecting non-fungible tokens in the digital economy: Stakeholders and ecosystem, risk and opportunity. Business Horizons, 65(5), 657-670.
Yousaf, I., & Yarovaya, L. (2022). The relationship between trading volume, volatility and returns of Non-Fungible Tokens: evidence from a quantile approach. Finance Research Letters, 103175.
Yousaf, I., & Yarovaya, L. (2022). Herding behavior in conventional cryptocurrency market, non-fungible tokens, and DeFi assets. Finance Research Letters, 50, 103299.
Yue, Y., Li, X., Zhang, D., & Wang, S. (2021). How cryptocurrency affects economy? A network analysis using bibliometric methods. International Review of Financial Analysis, 77, 101869.
去中心化金融社區(2021年11月24日),「比較ERC721和ERC-1155」。PANews。檢自:
https://www.panewslab.com/zh_hk/articledetails/D34139742.html
肖琪凡(2021年10月22日),「NFT未來將包羅萬象,這幾個方向尤其值得期待」。PANews。檢自:https://www.panewslab.com/zh_hk/articledetails/1634872083709368.html
高敬原和羅元駿(2022年9月15日),「挖礦變歷史!以太坊合併將省下99,95%能源,打掉重練有哪些改變?」。數位時代。檢自:
https://www.bnext.com.tw/article/71720/ethereum-merge
校內:2028-05-23公開