- Microfinance and Financial Inclusion
- FinTech, Crowdfunding, Digital Finance
- Private Equity and Venture Capital
- Complex Systems and Time Series Analysis
- Problem and Project Based Learning
- Forecasting Techniques and Applications
- scientometrics and bibliometrics research
- Market Dynamics and Volatility
- Sports Analytics and Performance
- Data Analysis with R
- Medical Education and Admissions
- Decision-Making and Behavioral Economics
- Economic Sanctions and International Relations
- Meta-analysis and systematic reviews
- Educational Assessment and Pedagogy
Beijing Sport University
2023-2025
Laboratoire d'Informatique Fondamentale de Lille
2024
University of Birmingham
2020-2021
ABSTRACT In statistics, samples are drawn from a population in data‐generating process (DGP). Standard errors measure the uncertainty estimates of parameters. science, evidence is generated to test hypotheses an evidence‐generating (EGP). We claim that EGP variation across researchers adds uncertainty—nonstandard (NSEs). study NSEs by letting 164 teams same on data. turn out be sizable, but smaller for more reproducible or higher rated research. Adding peer‐review stages reduces NSEs....
This paper explores the impact of football match results on cross-national stock markets. Utilizing Datastream daily market data from 15 football-rivalry countries and Worldfootball details, our analysis indicates that outcome significantly correlates with performance involved countries. A victory is associated an uptick in winning country's returns, whereas a defeat tends to correlate downturn return. Importantly, victories rival matches have greater positive returns than non-rival matches....
Abstract This paper investigates expert bidding imitation in peer‐to‐peer lending platforms. We employ data from Renrendai.com , which contains information of about 170,000 investors who placed almost four million bids on 111,234 loan listings 2010 to 2018. The experts are defined as either have more central roles or spend time money the network. find that an average investor mimics lenders. Inactive lenders learn top investors’ behaviour through observational learning and then, follow their...
Abstract In this study, we examined the effectiveness of central bank communications during times significant adverse shocks. Specifically, how National Bank Ukraine (NBU) regulated foreign exchange (FX) markets Russo‐Ukrainian War in 2022. Data collected from both black and authorized FX suggested that content NBU's announcements significantly impacted market agents. Announcements aimed at maintaining a fixed (floating) rate prompted an increase (decrease) premium cash transactions....