Yulong Sun, Ph.D., CFA
Tenure-track Associate Professor
University of Science and Technology of China (USTC)
Contact me at: yulongsun (at) ustc.edu.cn
Tenure-track Associate Professor
University of Science and Technology of China (USTC)
Contact me at: yulongsun (at) ustc.edu.cn
Publications
- "Prices and Returns: Role of Inflation", Sole Author, Journal of International Money and Finance, 147(2024), 103149.
Presentations: EEA-ESEM (2019, Manchester), Paris December Finance Meeting (2019, Paris)
(one-sentence-summary) post-1970s analysis indicates that the inflation-financial ratio correlation can be largely attributed to the relationship between expected inflation and future growth prospects, thereby explaining why the dividend-price ratio predicts future inflation.
- "Fear Propagation and Return Dynamics", with Kai Wang and Zhiping Zhou, Journal of Banking and Finance, 173(2025), 107410.
Presentations: AFFI (2021, Virtual), AMES (2021, Virtual)
(one-sentence-summary) gold-related ratios display distinct return predictability across business cycles and exhibit global return predictability when investors anticipate a U.S. recession.
Presentations: Frontiers of Factor Investing (2021, Lancaster), IAAE (2024, Xiamen), AsianFA (2024, Macau), FMA (2024, Grapevine), Dishui Lake (2025, Shanghai)
(one-sentence-summary) we uncover a positive relationship between (cash flow) news based idiosyncratic volatility and expected returns, and propose a stylized model to rationalize the IVOL relationship/puzzle.
- "Government Debt, Dividend Growth, and Stock Returns"
Presentations: EWMES (2018, Naples), CICF (2019, Guangzhou), AEA-Poster (2021, Virtual)
(one-sentence-summary) we identify a common component between stock returns and dividend growth, driven by public debt, and propose a production-based model to rationalize this relationship.
- "Predictable Currency Crashes" (with Jian Wang and Xiao Wang)
Presentations: PHBS-CUHKSZ Workshop (2025, Shenzhen)
(one-sentence-summary) We find that currency crashes are predictable, with a combination of higher local interest rates and weak currency performance associated with a 43.0% crash probability within the subsequent six months—substantially higher than during normal periods.
- "Market Crash Predictability and Its Implications for Return Forecasting"
(one-sentence-summary) We develop a real-time global market crash index that combines widened interest rate differentials with weak stock performance, showing that crash risk is strongly linked to stock return predictability and underscoring the critical role of local–U.S. interest rate spreads in forecasting crashes.
- "How Federal Reserve Shapes International Stock Markets: Insights from China" (with Xiaoyu Cheng)
Reject and Resubmit at the Review of Finance
(one-sentence-summary) FOMC meetings' news channel boosts even-week returns in non-US countries even without international equity flows, while its uncertainty channel creates a contrasting odd-week pattern in China, with placebo tests indicating its effectiveness depends on market openness.
- "How Common are Return Factors in Cryptocurrencies and Equities?" (with Guo Feng, Hao Ma, and Wentao Zhou)
Presentations: Cryptocurrency Research Conference (2021, Virtual), UWA Blockchain and Cryptocurrency Conference (2021, Virtual)
(one-sentence-summary) we evaluate the common factor structure of cryptocurrencies and U.S. equities, finding no common factors before 2019, but identifying one common factor emerging post-2020.
- "Revisiting the Leading Country Hypothesis in International Stock Return Predictability"
Presentations: USTC-UW Workshop (2020, Virtual), AMES (2021, Virtual)
(one-sentence-summary) lagged Chinese returns significantly predict global stock returns, subsuming the predictive power of lagged U.S. returns in monthly predictions, with rolling pool estimation showing China taking the lead post-2000, aligning with its WTO accession and contribution to global economic growth.
- "Risk-neutral Cumulants, Expected Excess Return, and Future Stock Returns" (with Kai Wang)
Revise and Resubmit
Presentations: EFA (2020, Helsinki-Virtual), FMA Annual Meeting (2020, Virtual)
(one-sentence-summary) we build an empirical model to connect option-implied cumulants with expected risk premia through latent risk factors, and utilize the positive relationship between the ex-ante filtered expected risk premium and future realized risk premium to develop a significant strategy.