The economics of financial scams: Evidence from Initial Coin Offerings
We examine the economics of financial scams by analyzing the market for initial coin offerings (ICOs). Using data snapshots of 5,873 ICOs, we find that irregularities in ICO characteristics across listing websites predict higher scam risk and are likely intentional. These patterns are consistent wit...
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2023
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sg-smu-ink.lkcsb_research-84382024-04-30T03:46:57Z The economics of financial scams: Evidence from Initial Coin Offerings PHUA, Kenny SANG, Bo WEI, Chi Shen YU, Yang We examine the economics of financial scams by analyzing the market for initial coin offerings (ICOs). Using data snapshots of 5,873 ICOs, we find that irregularities in ICO characteristics across listing websites predict higher scam risk and are likely intentional. These patterns are consistent with a model where malicious issuers maximize profits by using irregularities to screen for naïve investors. Almost half of the ICOs in our sample may be scams, amounting to more than U.S. $6 billion in losses. Our results draw attention to the frequent use of screening mechanisms in financial scams. 2023-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research/7439 info:doi/10.2139/ssrn.4064453 https://ink.library.smu.edu.sg/context/lkcsb_research/article/8438/viewcontent/SSRN_id4064453.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Financial scams Forensic finance Cryptocurrency Finance and Financial Management Technology and Innovation |
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Financial scams Forensic finance Cryptocurrency Finance and Financial Management Technology and Innovation PHUA, Kenny SANG, Bo WEI, Chi Shen YU, Yang The economics of financial scams: Evidence from Initial Coin Offerings |
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We examine the economics of financial scams by analyzing the market for initial coin offerings (ICOs). Using data snapshots of 5,873 ICOs, we find that irregularities in ICO characteristics across listing websites predict higher scam risk and are likely intentional. These patterns are consistent with a model where malicious issuers maximize profits by using irregularities to screen for naïve investors. Almost half of the ICOs in our sample may be scams, amounting to more than U.S. $6 billion in losses. Our results draw attention to the frequent use of screening mechanisms in financial scams. |
format |
text |
author |
PHUA, Kenny SANG, Bo WEI, Chi Shen YU, Yang |
author_facet |
PHUA, Kenny SANG, Bo WEI, Chi Shen YU, Yang |
author_sort |
PHUA, Kenny |
title |
The economics of financial scams: Evidence from Initial Coin Offerings |
title_short |
The economics of financial scams: Evidence from Initial Coin Offerings |
title_full |
The economics of financial scams: Evidence from Initial Coin Offerings |
title_fullStr |
The economics of financial scams: Evidence from Initial Coin Offerings |
title_full_unstemmed |
The economics of financial scams: Evidence from Initial Coin Offerings |
title_sort |
economics of financial scams: evidence from initial coin offerings |
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Institutional Knowledge at Singapore Management University |
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2023 |
url |
https://ink.library.smu.edu.sg/lkcsb_research/7439 https://ink.library.smu.edu.sg/context/lkcsb_research/article/8438/viewcontent/SSRN_id4064453.pdf |
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