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Throughout the SW project construction, I have received a great deal of support and assistance.
I would first like to thank my mentor and advisor, Professor Luyao Zhang. Prof. Zhang keeps guiding and instructing me patiently and giving me sufficient support. Her courses and insightful feedback have greatly pushed me to sharpen my thinking and brought my work to a higher level.
I also would like to thank Prof. Tim Bollerslev at Duke University, whose excellent lectures in financial investment have inspired me to conduct research in this field and pursue a higher-level degree upon graduation.
I want to thank Duke Kunshan University’s Student Experiential Learning Fellowship (SELF), which helped me complete my experiential learning project, a finance research experience at New York University Shanghai, last summer. I also would like to thank the Center of Teaching and Learning’s funding, which helped me conduct my research project on active learning techniques in economics education. All the experience has contributed to my research capabilities, interdisciplinary skills, and my signature work product.
I want to thank my friends, classmates, faculty, staff, and everyone at Duke Kunshan University for providing me with such an amazing and immersive college experience, even during the global pandemic. I could not have completed this project without the support of my friends, Austen Li and Ryan He, who provided stimulating discussions and happy distractions to rest my mind outside of my research.
Last but not least, I would like to thank my parents for their consistent support.
I especially thank Professor Luyao Zhang for her mentorship, whose expertise was invaluable in guiding and suggesting creating and polishing the SW products. Furthermore, I would like to thank Professor Campbell Harvey for his insightful ideas on the quantification of Decentralized Finance risks. He inspired me to conduct further research on measuring Decentralized Finance and Blockchain risks, and to finalize my SW topic. Additionally, I would like to thank Professor Fan Zhang for his suggestions on my previous results, methods, and expertise in MEV and order fairness. Moreover, I would like to thank my fellow scholar Ziliang Tian for sharing useful literature sources, insightful discussion, and feedback. I am also grateful for the technical support received from Xin Ma, a member of Duke Kunshan University’s IT Office, and Zesen Zhuang, a Junior Student at Duke Kunshan University. It is also worth mentioning that the early research that led to my final SW research direction was supported by the Undergraduate Research Fund at the Center for the Study of Contemporary China (CSCC), Duke Kunshan University.
Throughout the whole project and the writing of this dissertation, I have received a great deal of support and assistance. I would first like to thank my supervisor, Professor Luyao Zhang, whose professional theoretical knowledge and rich experience offered me valuable help and guidance in determining research problems and methods. Whether from Economics or Data Science, you have promoted my research to a higher level and more in-depth insight. I would like to acknowledge Professor Gergely Horvath; the key guiding advice and forward-looking ideas make my research have a lasting significance.
I would like to express my sincere gratitude and appreciation for my Signature Work mentor, Professor Luyao Zhang, whose support and guidance have helped and encouraged me throughout my research and writing process. I also want to extend a heartfelt thanks to the Duke Financial Economics Center who not only fostered my passion for finance but also provided me with unparalleled resources. Lastly, I would like to stress that all errors in this research remain to be mine and I take full responsibility for all aspects of my Signature Work product.
I would like to thank my signature work mentor, Professor Luyao Zhang, for her helpful guidance, comments, and suggestions throughout my signature work research. All remaining errors are mine. I also thank my fellow scholar Haoxin Yu for his peer review and continuous support. This project is supported by the Undergraduate Research Fund at the Center for Studies of Contemporary China (CSCC), Duke Kunshan University.
The cryptocurrency pump-and-dump data used in this research is obtained from Jiahua Xu’s openly accessible online repositories. I would like to also acknowledge and thank my supervisor, Professor Luyao Zhang, whose expertise was invaluable in formulating the research questions and methodology and has provided continued guidance. All the remaining errors remain to be mine.