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Linghang Zeng

  • Assistant Professor
Academic Division: Finance

Bio

Linghang Zeng received his Ph.D. in Finance from Georgia Tech. Before that, He received a Master's degree in Mathematical Finance from the University of Alberta and a Bachelor's degree in Industrial Engineering from Nanjing University.

His research interests include labor and finance, household finance, and macro finance. His papers have been published at Management Science, the Journal of Monetary Economics, the Journal of Financial and Quantitative Analysis and presented at numerous conferences such as NBER Summer Institute, American Finance Association, Western Finance Association, SFS Cavalcade, and European Finance Association. His research has won Best Paper on Fintech from Financial Management Association in 2022, Best Paper Award from Dayton Summer Finance Workshop in 2021, Best Paper on Firm Growth and Innovation from Northern Finance Association in 2019, Best Paper on Corporate Finance/Responsible Finance from Northern Finance Association in 2018, and Third Place from Chicago Quantitative Alliance Academic Competition in 2016. He teaches FinTech and Principles of Finance.

Academic Degrees

  • Ph D, Georgia Institute of Technology
  • MS, University of Alberta
  • BEng, Nanjing University

Awards & Honors

  • 2022 — Best Paper on FinTech, Financial Management Association
  • 2021 — Best Paper Award, Dayton Summer Finance Workshop, University of Dayton
  • 2019 — Best Paper on Firm Growth and Innovation, Northern Finance Association
  • 2018 — Best Paper on Corporate Finance/ Responsible Finance, Northern Finance Association
  • 2016 — Third Place, Chicago Quantitative Alliance Academic Competition
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Publications

Journal Articles

  • Chava, S., Hsu, A., Zeng, L. (2020). Does History Repeat Itself? Business Cycle and Industry Returns. Journal of Monetary Economics. Vol: 116, Page: 201-218. link
  • Bradley, D., Clarke, J., Zeng, L. (2020). The Speed of Information and the Sell-Side Research Industry. Journal of Financial and Quantitative Analysis. Vol: 55, Issue: 5, Page: 1467-1490. link

Presentations

  • Measuring Firm-Level Inflation Exposure: A Deep Learning Approach Chava, S. Du, W. Shah, A. Zeng, L. Georgia State University Conference on Financial Economics and Accounting , Georgia State University (2022)
  • Discussion of Do Investors Pay Less Attention to Women Zeng, L. Financial Management Association, Atlanta (2022)
  • Measuring Firm-Level Inflation Exposure: A Deep Learning Approach Chava, S. Du, W. Shah, A. Zeng, L. Financial Management Association, Atlanta (2022)
  • Measuring Firm-Level Inflation Exposure: A Deep Learning Approach Chava, S. Du, W. Shah, A. Zeng, L. TAMU, TAMU (2022)
  • Measuring Firm-Level Inflation Exposure: A Deep Learning Approach Chava, S. Du, W. Shah, A. Zeng, L. UT Dallas Finance Conference , UT Dallas (2022)
  • Discussion of Workplace Inequality in the U.S. and Managerial Rent Extraction: Evidence from Pay Growth Gaps Zeng, L. Georgia Tech Labor and Finance Group Conference, Georgia Tech (2022)
  • Discussion of Benchmarking Private Equity Performance When Fund Cash Flows are Missing Zeng, L. University of Florida Research Conference on Machine Learning in Finance, University of Florida (2022)
  • Measuring Firm-Level Inflation Exposure: A Deep Learning Approach Chava, S. Du, W. Shah, A. Zeng, L. University of Florida Research Conference on Machine Learning in Finance, University of Florida (2022)
  • Measuring Firm-Level Inflation Exposure: A Deep Learning Approach Chava, S. Du, W. Shah, A. Zeng, L. Swedish House of Finance Conference on Machine Learning and AI in Finance , Swedish House of Finance (2022)
  • Measuring Firm-Level Inflation Exposure: A Deep Learning Approach Chava, S. Du, W. Shah, A. Zeng, L. China International Conference in Finance, Virtual (2022)
  • Measuring Firm-Level Inflation Exposure: A Deep Learning Approach Chava, S. Du, W. Shah, A. Zeng, L. Stanford SITE Conference on New Frontiers in Asset Pricing, Stanford University (2022)
  • Measuring Firm-Level Inflation Exposure: A Deep Learning Approach Chava, S. Du, W. Shah, A. Zeng, L. Babson College, Babson College (2022)
  • Monetary Policy, Cash Flows, and Firm Investment Hsu, A. Mitra, I. Zeng, L. Queen Mary University of London, Queen Mary University of London (2022)
  • Monetary Policy, Cash Flows, and Firm Investment Hsu, A. Mitra, I. Zeng, L. University of Warwick, University of Warwick (2022)
  • Monetary Policy, Cash Flows, and Firm Investment Hsu, A. Mitra, I. Zeng, L. Kennesaw State University, Kennesaw State University (2022)
  • Measuring Firm-Level Inflation Exposure: A Deep Learning Approach Chava, S. Du, W. Shah, A. Zeng, L. Georgia Tech, Georgia Tech (2022)
  • Monetary Policy, Cash Flows, and Firm Investment Hsu, A. Mitra, I. Zeng, L. Babson College, Babson College (2022)
  • Monetary Policy, Cash Flows, and Firm Investment Hsu, A. Mitra, I. Zeng, L. Babson Faculty Research Day, Babson College (2022)
  • Monetary Policy, Cash Flows, and Firm Investment Hsu, A. Mitra, I. Zeng, L. Federal Reserve Bank of Atlanta, Federal Reserve Bank of Atlanta (2022)
  • Discussion of Bidder-Specific Synergies and the Evolution of Acquirer Returns Zeng, L. Financial Management Association, Denver (2021)
  • Shocked by Bank Funding Shocks: Evidence from 500 Million Consumer Credit Cards Chava, S. Ganduri, R. Paradkar, N. Zeng, L. Western Finance Association, San Francisco (2020)
  • Competition for Talent: The Impact of Venture Capital Flows on Incumbent Firms Zeng, L. Finance, Organizations and Markets (FOM) Conference, University of Southern California (2019)
  • Discussion of Keeping Secrets from Creditors: The Uniform Trade Secrets Act and Financial Leverage Zeng, L. KWC Conference on Entrepreneurial Finance, Sweden (2019)
  • Impact of Venture Capital Flows on Incumbent Firms: Evidence from 70 Million Workers Zeng, L. Northern Finance Association, Vancouver (2019)
  • Shocked by Bank Funding Shocks: Evidence from 500 Million Consumer Credit Cards Chava, S. Ganduri, R. Paradkar, N. Zeng, L. Northern Finance Association , Vancouver (2019)
  • Shocked by Bank Funding Shocks: Evidence from 500 Million Consumer Credit Cards Chava, S. Ganduri, R. Paradkar, N. Zeng, L. European Finance Association , Lisbon (2019)
  • Shocked by Bank Funding Shocks: Evidence from 500 Million Consumer Credit Cards Chava, S. Ganduri, R. Paradkar, N. Zeng, L. Financial Intermediation Research Society , Savannah (2019)
  • Impact of Venture Capital Flows on Incumbent Firms: Evidence from 70 Million Workers Zeng, L. SFS Cavalcade, Carnegie Mellon University (2019)
  • Discussion of Do Institutional Investors Exploit Market Anomalies? New Evidence from Alternative Mutual Funds Zeng, L. Eastern Finance Association, Miami (2019)
  • Discussion of International Bank Networks and Trade Zeng, L. Eastern Finance Association, Miami (2019)
  • Discussion of The Economics of Trade Credit: Risk and Power Zeng, L. Eastern Finance Association, Miami (2019)
  • The Dark Side of Technological Progress? Impact of E-Commerce on Employees at Brick-and-Mortar Retailers Chava, S. Oettl, A. Singh, M. Zeng, L. Labor and Finance Group Meeting, University of Maryland (2018)
  • Discussion of When Bankers Go to Hail Zeng, L. Northern Finance Association, Canada (2018)
  • The Dark Side of Technological Progress? Impact of E-Commerce on Employees at Brick-and-Mortar Retailers Chava, S. Oettl, A. Singh, M. Zeng, L. Northern Finance Association , Charlevoix (2018)
  • The Dark Side of Technological Progress? Impact of E-Commerce on Employees at Brick-and-Mortar Retailers Chava, S. Oettl, A. Singh, M. Zeng, L. European Finance Association , Warsaw (2018)
  • The Dark Side of Technological Progress? Impact of E-Commerce on Employees at Brick-and-Mortar Retailers Chava, S. Oettl, A. Singh, M. Zeng, L. NBER Summer Institute, Boston (2018)
  • The Value of Hot News: Intellectual Property and the Sell-Side Research Industry Bradley, D. Clarke, J. Zeng, L. SFS Cavalcade, Nashville (2017)
  • Discussion of Institutional Trading and Asset Pricing Zeng, L. Financial Management Association, Orlando (2015)
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