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Posts

Future Blog Post

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Blog Post number 4

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Blog Post number 3

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Blog Post number 2

less than 1 minute read

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Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

How the Economic Policy Uncertainty (EPU) impacts FinTech: The implication of P2P lending markets

Published in Finance Research Letters, 2024

Abstract: This study investigates the impact of state-level Economic Policy Uncertainty (EPU) on FinTech lending marketplace. Leveraging two large-scale Peer-to-Peer (P2P) datasets of LendingClub and Prosper from 2010 to 2019 alongside the news-based EPU index, we unveil a causal relationship between the EPU and both the interest rates and loan amounts. Economically, a one-standard-deviation increase in EPU causes 4.49 and 8.90 basis points change in P2P loan rates, and 1.56% and 1.28% variation in loan amounts, for LendingClub and Prosper, respectively. Furthermore, the national-sourced EPU has a relatively stronger effect on LendingClub, while the state-sourced EPU imposes more impacts on Prosper.

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Food Transportation and Price Impacted by Diesel Price and Truck-driver Shortage pre-, amid and post Pandemic

Published in Transportation Research Part E: Logistics and Transportation Review, 2024

Abstract: The food transportation and distribution industry has been radically disrupted over the last few years, especially amid the COVID-19 pandemic. Food prices, for example, have been seen to increase considerably in the wave of economic inflation. As two main driving factors in the context of food transportation, (1) the rising diesel prices and (2) the prevailing shortage of truck drivers have posed threatening challenges, leading to a substantial surge in transportation costs and subsequently contributing to higher food market prices. Based on collected data consolidated from multiple sources, this study conducts a comprehensive analysis to elucidate the impact of diesel prices and driver availability on food prices. To this end, we have curated a panel dataset encompassing key variables such as diesel prices, truck driver availability, and food prices for the most popular food commodities (i.e., apples, potatoes, onions, and tomatoes) pre-, amid, and post-pandemic of COVID-19. Employing fixed effects regression, this paper specifically investigates the extent to which the surge in fuel prices and truck-driver availability has contributed to the overall increase in food prices in the United States fresh food market. With high statistical significance, the experiment results show that the rising diesel prices and the shortage of truck drivers’ availability have a significant positive impact on food price margin, ceteris paribus. The contributions of this study are multifold. First, our study enriches the food price literature by specifically considering the two fundamental root factors: truck-driver availability and diesel price. Second, this study provides data-driven empirical analysis to unveil how diesel prices, driver availability, and the significant impact of the pandemic drive food prices. Third, considering the impact of COVID-19, the food price sensitivity to diesel prices and driver availability obtained from this study renders practical guidelines for policy implications, especially in the age of a devastating pandemic.

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talks

teaching

Others

, , 2022

NJIT Bloomberg Lab, Teaching assistant, 2022-2023

Teaching Assistant

, , 2023

FIN310 Data-Driven Financial Modeling (Instructor: Jasmine Chang), Summer 2023

Instructor

Undergraduate course, , 2024

MGMT116 Quantitative Analysis with Applications for Business, Spring 2025(Rating: 3.3/4) MGMT216 Business Data Analytics, Fall 2024(Rating: 3.7/4)