Ge Gao

ORCID: 0000-0002-8557-2475
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About
Contact & Profiles
Research Areas
  • 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

Albert J. Menkveld Anna Dreber Felix Holzmeister Jürgen Huber Magnus Johannesson and 95 more Michael Kirchler Sebastian Neusüss Michael Razen Utz Weitzel DAVID ABAD‐DÍAZ Menachem Abudy Tobias Adrian Yacine Aït‐Sahalia Olivier Akmansoy Jamie Alcock Vitali Alexeev Arash Aloosh Livia Amato Diego Amaya James J. Angel ALEJANDRO T. AVETIKIAN Amadeus Bach Edwin Baidoo Gaetan Bakalli Bao Li Andrea Barbon Oksana Bashchenko Parampreet Christopher Bindra Geir Høidal Bjønnes Jeffrey R. Black Bernard S. Black Dimitar Bogoev SANTIAGO BOHORQUEZ CORREA Oleg Bondarenko Charles S. Bos Ciril Bosch-Rosa Elie Bouri Christian T. Brownlees Anna Calamia Viet Nga Cao Gunther Capelle‐Blancard LAURA M. CAPERA ROMERO Massimiliano Caporin Allen Carrion Tolga Caskurlu Bidisha Chakrabarty Jian Chen Mikhail Chernov William M. Cheung Ludwig B. Chincarini Tarun Chordia SHEUNG‐CHI CHOW Benjamin Clapham Jean-Édouard Colliard Carole Comerton‐Forde Edward T. Curran Thông Dao Wale Dare Ryan J. Davies Riccardo De Blasis GIANLUCA F. DE NARD Fany Declerck Oleg Deev Hans Degryse Solomon Y Deku Christophe Desagre Mathijs A. van Dijk Chukwuma Dim Thomas Dimpfl Yun Jiang Dong P. Drummond Tom Dudda Teodor Duevski Ariadna Dumitrescu Teodor Dyakov Anne Haubo Dyhrberg Michał Dzieliński Asli Eksi Izidin El Kalak Saskia ter Ellen Nicolas Eugster Martin D.D. Evans Michael Farrell ESTER FELEZ‐VINAS Gerardo Ferrara El Mehdi Ferrouhi Andrea Flori Jonathan Fluharty-Jaidee Sean Foley Kingsley Y. L. Fong Thierry Foucault Tatiana Franus Francesco A. Franzoni Bart Frijns Michael Frömmel SERVANNA M. FU Sascha Füllbrunn Baoqing Gan Ge Gao Thomas Gehrig

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....

10.1111/jofi.13337 article EN cc-by The Journal of Finance 2024-04-17

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....

10.1080/14765284.2025.2476926 article EN Journal of Chinese Economic and Business Studies 2025-03-16

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...

10.1111/manc.12321 article EN cc-by Manchester School 2020-06-13

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....

10.1111/jfir.12358 article EN cc-by The Journal of Financial Research 2023-10-26
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