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Massachusetts Institute of Technology

Essays in financial economics

Abstract

dc:description.abstract

In Chapter 1, I document that there is a high correlation between the returns of cryptocurrencies and those of utility tokens, which are claims to products and services yet to be developed that are issued through ICOs and traded on crypto-exchanges. I demonstrate the presence of a numeraire effect in the pricing of these tokens and present evidence that it is driven by a combination of group thinking and representativeness bias. Investors mistakenly overestimate the probability that a cryptocurrency-denominated token is issued by a blockchain firm, and thus believe the fundamental value of the token is correlated with that of Bitcoin. I show that a 1% increase in the return on Bitcoin during the month before a token first lists on a crypto exchange predicts a 5% higher ICO return for a cryptocurrency-denominated token than for a fiat-currency-denominated token.

Degree

thesis:*
Name thesis:degree_name
Doctoral
Department dc:contributor.department
Sloan School of Management
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Lu, Fangzhou,Ph. D.Massachusetts Institute of Technology.
Advisor dc:contributor.advisor
  • Jonathan Parker.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/126979
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/126979

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Lu, Fangzhou,Ph. D.Massachusetts Institute of Technology.. Essays in financial economics. Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/126979