Xu Feng

ORCID: 0000-0003-4041-135X
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About
Contact & Profiles
Research Areas
  • Financial Markets and Investment Strategies
  • Corporate Finance and Governance
  • Auditing, Earnings Management, Governance
  • Complex Systems and Time Series Analysis
  • Banking stability, regulation, efficiency
  • Stock Market Forecasting Methods
  • Opinion Dynamics and Social Influence
  • Market Dynamics and Volatility
  • Game Theory and Applications
  • Financial Risk and Volatility Modeling
  • Media Influence and Politics
  • Insurance and Financial Risk Management
  • Credit Risk and Financial Regulations
  • Groundwater and Watershed Analysis
  • Complex Network Analysis Techniques
  • Private Equity and Venture Capital
  • FinTech, Crowdfunding, Digital Finance
  • Digital Marketing and Social Media
  • Groundwater and Isotope Geochemistry
  • Experimental Behavioral Economics Studies
  • Microfinance and Financial Inclusion
  • Corruption and Economic Development
  • E-commerce and Technology Innovations
  • Karst Systems and Hydrogeology
  • Regional Development and Environment

Tianjin University
2014-2024

China Coal Technology and Engineering Group Corp (China)
2020-2022

Tianjin University of Finance and Economics
2012-2021

Nanjing University of Science and Technology
2018

Beihang University
2009-2014

Nanjing University
2013

Beijing Union University
2012

Tsinghua University
2012

10.1016/j.irfa.2021.101940 article EN International Review of Financial Analysis 2021-10-29

10.1016/j.elerap.2018.05.001 article EN Electronic Commerce Research and Applications 2018-05-01

10.1016/j.ribaf.2019.101173 article EN Research in International Business and Finance 2019-12-26

Abstract Using retail investor posts on the stock forum from 2008 to 2019, we study impact of social media incidence company violations. We find that promotes violations, which supports ‘pressure effect’ rather than ‘monitoring effect’. This conclusion holds even considering potential endogenous issues. In robustness tests, when alternative sample selection, independent variables and dependent are used, results still show promote Our cognitive evaluation theory, proposes external pressure...

10.1111/acfi.12780 article EN Accounting and Finance 2021-03-24

10.1016/j.intfin.2019.01.004 article EN Journal of International Financial Markets Institutions and Money 2019-01-30

Abstract Using a database of five successive short‐selling ban lifts in the Chinese stock market, we find that price efficiency gradually changes. Specifically, stocks can be shorted later improves more than earlier. Two hypotheses are tested to explain gradual changed efficiency: private information hypothesis and analysis capability hypothesis. We further show short selling is associated with public relationship grows stronger after each lift, which supports

10.1111/acfi.12327 article EN Accounting and Finance 2017-12-01

10.1016/j.physa.2016.06.105 article EN Physica A Statistical Mechanics and its Applications 2016-06-26

10.1016/j.irfa.2020.101643 article EN International Review of Financial Analysis 2020-11-16

10.1016/j.physa.2014.06.082 article EN Physica A Statistical Mechanics and its Applications 2014-07-05

Abstract Using popular liability‐side wealth management products in China, we construct an informative measure of shadow funding and credit by extension. This reflects the risk appetites financial intermediaries their ability to expand balance sheets through bank–shadow‐bank cooperation. Our possesses unique predictive power for future economic activity. An increase corresponds increases investment consumption, which, turn, reduce financing costs due improvements development.

10.1111/jmcb.13008 article EN cc-by-nc-nd Journal of money credit and banking 2023-01-20

10.1016/j.jedc.2019.103816 article EN Journal of Economic Dynamics and Control 2019-12-06

Purpose This paper studies whether individual stocks provide higher returns than government bond in the Chinese market. Design/methodology/approach The authors compare stock and Findings find that more half of underperform bonds over same period China, which highlights important role positive skewness distribution returns. high return a few is reason why market China. Originality/value results this emphasize portfolio diversification plays an

10.1108/cfri-12-2019-0162 article EN China Finance Review International 2020-09-07

Abstract The rise of Big Data brings the financial innovation opportunities as well challenges. This paper reviews different fields big-data-based innovations scientific discoveries and theoretical breakthroughs risk analysis with respect to these innovations. Based on current research status, several key problems are put forward their relative solutions discussed. three mean aspects listed pricing measuring for data-driven products or services; changes that would bring finance industry,...

10.21078/jssi-2016-489-16 article EN 系统科学与信息学报(英文) 2016-12-25
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