TY - JOUR
T1 - Does soft information in expert ratings curb information asymmetry? Evidence from crowdfunding and early transaction phases of Initial Coin offerings
AU - Wang, Tong
AU - Zhao, Sheng
AU - Zhou, Mengqiu
N1 - Publisher Copyright:
© 2022 The Author(s)
PY - 2022/11
Y1 - 2022/11
N2 - An Initial Coin Offering is the Initial Public Offering of the crypto sector. By issuing crypto tokens in exchange for funds, Initial Coin Offering is a popular way to raise capital for products or services typically associated with cryptocurrencies by issuing crypto tokens in exchange for funds. Initial Coin Offering has gained a lot of attention in the past few years; however, its lack of regulation has raised transparency and investor protection concerns from public agencies. This paper examines the role of soft information in third-party expert ratings and how it can mitigate information asymmetry in the financial markets. Expert ratings normally contain two types of information: hard information – a summary of public, numerically-measured information, and soft information – containing expert insights, rumours, and private conversations. Taking advantage of the special dual-rating system of a leading Initial Coin Offering rating platform, we successfully isolate soft information from expert ratings. We find that soft information reduces information asymmetry between issuers and investors, measured by the amount of raised funds in the crowdfunding phase and the underpricing levels in the early transaction phase. We also test the long-term survival rates and market price trends of issued tokens and conclude that soft information also plays a crucial role for investors in predicting the long-term performance of tokens. A heterogeneity analysis further shows that the soft information provided by expert ratings is more influential in countries or regions with low business environment indices.
AB - An Initial Coin Offering is the Initial Public Offering of the crypto sector. By issuing crypto tokens in exchange for funds, Initial Coin Offering is a popular way to raise capital for products or services typically associated with cryptocurrencies by issuing crypto tokens in exchange for funds. Initial Coin Offering has gained a lot of attention in the past few years; however, its lack of regulation has raised transparency and investor protection concerns from public agencies. This paper examines the role of soft information in third-party expert ratings and how it can mitigate information asymmetry in the financial markets. Expert ratings normally contain two types of information: hard information – a summary of public, numerically-measured information, and soft information – containing expert insights, rumours, and private conversations. Taking advantage of the special dual-rating system of a leading Initial Coin Offering rating platform, we successfully isolate soft information from expert ratings. We find that soft information reduces information asymmetry between issuers and investors, measured by the amount of raised funds in the crowdfunding phase and the underpricing levels in the early transaction phase. We also test the long-term survival rates and market price trends of issued tokens and conclude that soft information also plays a crucial role for investors in predicting the long-term performance of tokens. A heterogeneity analysis further shows that the soft information provided by expert ratings is more influential in countries or regions with low business environment indices.
KW - Expert rating
KW - FinTech
KW - Information asymmetry
KW - Initial Coin Offering
KW - Underpricing
UR - http://www.scopus.com/inward/record.url?scp=85139828696&partnerID=8YFLogxK
U2 - 10.1016/j.intfin.2022.101661
DO - 10.1016/j.intfin.2022.101661
M3 - Article
AN - SCOPUS:85139828696
SN - 1042-4431
VL - 81
JO - Journal of International Financial Markets, Institutions and Money
JF - Journal of International Financial Markets, Institutions and Money
M1 - 101661
ER -