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Professor Jing Wu is an assistant professor at the Department of Decision Sciences and Managerial Economics of CUHK Business School, the Chinese University of Hong Kong, and an executive committee member of the Hong Kong-Shenzhen Finance Research Center. He receives his Ph.D. (major in operations management, minor in economics & finance) and MBA from the University of Chicago Booth School of Business and his bachelor's degree in Electronic Engineering from Tsinghua University. 


Professor Wu's primary research fields are the operations-finance interface, global supply chains, economic networks, and big data applications. His work appears in journals such as Management Science and M&SOM. Professor Wu contributes to the industry by advising a Hong Kong FinTech firm and an asset management firm in Mainland China. Prior to Greater China, he worked at Deutsche Bank, New York as a quantitative strategist. 

Professor Jing Wu

Decision Sciences and Managerial Economics, CUHK Business School, the Chinese University of Hong Kong

The Hong Kong-Shenzhen Finance Research Center, the Shenzhen Finance Institute (SFI)


+852 3943 5299




Rm 915, 9/F Cheng Yu Tung Building, Shatin, Hong Kong SAR, China




We study if global supply chain relationships help firms access cross-border financing in formal international financial markets. Comparing two firms that are otherwise similar in covariates and pre-formation outcomes through a difference-in-differences strategy with matching, we find the formation of global supply chain relationships to be associated with a sustained increase in accessing of cross-border financing, across all major formal financing venues including cross-listings, bonds, syndicated loans, and M&As. Instrumenting global supply chain formation using reduction in physical trade costs yields similar results. This finding is also robust to controlling for strategic disclosure concerns. The estimated effect is stronger for firms in environments with higher accounting and ethical standards and small and growing firms, but weaker for firms in countries with tighter capital controls and more volatile exchange rates. This suggests global supply chain formation helps cross-border financing more through information production, not cash flow relocation or re-denomination.




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1. "Credit Risk Propagation along Supply Chains: Evidence from the CDS Market,"

with Senay Agca, Volodymyr Babich, and John R. Birge, major revision at Management Science, media at ChicagoBoothReview.​

(Featured at 2018 SFS Cavalcade, 2018 NFA, 2018 EEA)

We find that credit risk propagates through multiple supply chain tiers for both positive and negative credit shocks. Specifically, rating and industry-adjusted CDS spreads change by 44-71 bps for the first tier. Strong propagation persists for 2nd and 3rd tiers for adverse shocks but attenuates for favorable shocks. Such effects are not observed for inactive supply chain links. Credit risk propagation is magnified with longer-term supply-chain relations, trade credit, differentiated products, and leverage, but is moderated with investment grade rating and high inventory. Credit risk propagation is stronger for supply chain partners followed by the same analysts.

2. "Global Supply Chains and Cross-Border Financing,"

with Michael Hertzel, Jie Peng and Yu Zhang, R&R at Management Science.

(Featured at 2019 MSOM SIG, 2019 Wharton EMPOM)

We study if global supply chain relationships help firms access cross-border financing in formal international financial markets, using a comprehensive dataset of global supply chain relationships and cross-border financing deals. Comparing two firms that are otherwise similar in covariates and pre-formation outcomes through a difference-in-differences strategy with matching, we find that formation of global supply chain links is positively associated with a sustained increase in cross-border financing across bond, cross-listing, syndicated loans and M&A markets. This association is robust to controlling for standard firm-level determinants, industry-specific and country-specific shocks, and endogeneity. We examine multiple economic channels. We establish an important informational channel for the relation between global supply chain integration and cross-border financing, supported by a battery of tests, including heterogeneity, regression discontinuity, and supply chain voluntary disclosure. We do not find capital control, currency risks, or external financing dependence to be as important. 

3. "Corporate Social Responsibility in Supply Chain: Green or Greenwashing?"

with Yilin Shi and Yu Zhang.

Perception regarding a customer firm’s corporate social responsibility (CSR) depends not only on itself but also on its known suppliers. This paper provides the first empirical evidence linking CRS and supply chain information disclosure by uncovering robust evidence that customers greenwash their CSR image via voluntarily disclosing environmentally responsible suppliers while concealing “bad” ones. Exogenous variations in abnormal temperatures around the world drive variations in the selective disclosure of “good” suppliers, supporting a causal interpretation of our estimates. Supply chain greenwashing is more prevalent for firms who face higher competition, care more on their brand awareness, and for firms that are more profit- driven and hold more by institutional investors. The greenwashing mitigates after implementing mandatory CSR disclosure policies, consistent with recent theoretic predictions in Kalkanci and Plambeck (2020). Finally, firms who greenwash supply chains observe both sales and profitability increase, but only for the short-term. 


4. "The Financing Role of Inventory: Evidence from China’s Metal Industries,"

with Vernon Hsu, major revision at Management Science.

(Featured at 2019 CSAMSE Best Paper Award)

Inventory theory suggests that inventory plays vital roles in the matching of demand and supply. We provide theoretical and empirical evidence that inventory can play a significant financing role in practice. In the context of global supply chain transaction, we develop a model to show that inventory can be leveraged to take advantage of the financial arbitrage opportunities in markets with frictions. Empirically, we first use country-level data in China to test the model prediction after controlling for input price trajectory, currency risk, industrial demand, and economic uncertainty. We then confirm the strong financing role of inventory at the firm-level using data from China’s metal processing industries after controlling for demand, lead-time, profitability, capacity, and firm size. We further substantiate that the firms who use inventory as a financing tool indeed increase their short-term debts.

5. "Not Coming Home: Trade and Economic Policy Uncertainty in American Supply Chain Networks,"

with Ben Charoenwong and Miaozhe Han, submitted, media at The EconomistReutersCUHK观察者网, major revision at M&SOM.

(Featured at 2020 ADBI PRN Joint Conference)

We study the effect of American trade policy uncertainty (U.S. TPU), American non-trade economic policy uncertainty (U.S. EPU), and foreign economic policy uncertainty (foreign EPU) on the supply chain network of American public firms. As a motivating example, we find firms with more domestic suppliers increase foreign supplier relationships even before the onset of the China-U.S. trade war in March 2018, beginning around the time of President Trump’s campaign bid. In reduced-form analyses, we find higher U.S. TPU predicts trade creation – rather than bringing production “home”, American firms’ supplier and customer bases tilt abroad when U.S. TPU increases. The tilt is also associated with lower long-term strategic investments and asset growth. Meanwhile, foreign-country EPU shocks lead to trade diversion to other foreign countries. Firms for which production shocks would be more severe and those more central to the production network respond more to all measures of economic policy uncertainty. 


6. "Sourcing from Suppliers with Financial Constraints and Performance Risk,” with Christopher S. Tang and S. Alex Yang, M&SOM, Vol. 20, No. 1, 2018, p. 70-84, media at Forbes

7. "The Bullwhip Effect in Supply Networks,"

with Nikolay Osadchiy and William Schmidt, Management Science, forthcoming.

8. "Credit Risk Prediction Through Supply Chains: A FinTech Application,” with Zhaocheng Zhang and Sean Zhou, submitted, draft available upon request.

9. "CEO Myopia and Supply Chain Investment,” with Yifan Jia, Zheng Wang, and Zilong Zhang, in revision. 

10. "Trade Credit Late Payment and Industry Structure,” with John R. Birge and Hsiao-Hui Lee, submitted.

11. "Supply Chain Network Structure and Firm Returns,” with John R. Birge. 

12. "Spillover Effects of Credit Default Swaps on Corporate Disclosure along the Supply Chain,” with Matthew Cedergren, Ting Luo, and Yue Zhang, submitted

13. "The Impact of COVID-19 on Supply Chain Credit Risk," with Senay Agca, John R. Birge, and Zi'ang Wang, submitted, media at CUHK, SMUReuters, 观察者网


FINA6020 FinTech Analytics (2019-2020, CUHK)

DSME6682 FinTech Application (2019-2020, CUHK)

MS6325 Operations Management (2016-2019, CityU)

Supply Chain Finance (2017, Tsinghua EMBA)

DSME6756 Business Intelligence Techniques and Applications (2019-2020, CUHK)

FB8918 Machine Learning for Business Research (2018-2019, , CityU Ph.D. Elective)


Project 1. UBS (Hong Kong) 2017.09-2017.12

We investigate the optimal trading execution strategy of in the China A-Share market by different investment styles and market liquidity conditions. The research outcome is featured at the Annual UBS APAC Quant Conference.

Project 2. A Top Investment Bank 2019.06-current

We develop the credit risk model for small & middle enterprises based on their financial information and their economic networks.


We always welcome undergraduate and graduate research students. Our RAs are accepted in top business/economic Ph.D. programs. Email me for a research opportunity.  


We partner with institutional research teams at Deutsche Bank, JP Morgan, and UBS. Our research has practical implications for quantitative investing and beyond. Email me for related industry opportunity. 


We partner with FinFabrik.com for various research in crypto and tokenization. For our education initiative, please visit our blockchain institute (website in Chinese).


Professor Jing Wu

Decision Sciences and Managerial Economics, CUHK Business School, Chinese University of Hong Kong


+852 3943 5299




9/F Cheng Yu Tung Building, Shatin, Hong Kong SAR, China

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© 2019 By Jing Wu @ CUHK Business School, CUHK, Hong Kong. All Right Reserved.