© 2019 by Yinan Su

 

Assistant Professor of Finance

Johns Hopkins University Carey Business School

 

Research Interests:

Banking, Empirical Asset Pricing, Financial Econometrics, Networks


Education: 

Ph.D. in Financial Economics (Joint Program)

The University of Chicago, 2018

Bachelor of Economics, Tsinghua University, 2012

 

Curriculum vitae​

 

Working Papers

(with Bryan Kelly and Seth Pruitt)

Journal of Financial Economics, Forthcoming 

Whether, how, and which firm characteristics determine the cross-sectional variation of expected stock returns? We develop a latent factor model with time-varying loadings (Instrumented Principal Components Analysis or IPCA) which allows observable characteristics as instruments for the unobservable dynamic loadings. IPCA infers that characteristics affect expected return by driving the exposure to latent risk factors, and rules out characteristics-associated anomaly (compensation without risk). Four IPCA factors explain the cross-section of average returns significantly more accurately than existing factor models. Furthermore, among a large collection of characteristics explored in the literature, only eight are statistically significant in the IPCA specification and are responsible for nearly 100% of the model's accuracy.

 

Interbank lending is beneficial but subject to coordination failure. With interbank wholesale funding, banks' balance sheets become inflated, which give the retail depositors a sense of safety to allow the bank to have more illiquid investments. In interbank runs, banks run on banks as they mutually reinforce each other to withdraw interbank lending. Banks' individually precautionary liquidity hoarding strategies are connected by the pairwise lending relationships. Mean-field analysis extracts the systemic behavior from the network of strategic interactions. I show such dispersed and indirectly linked interactions also lead to discontinuous and system-wide liquidity crunches as if the interactions are centralized. Local insolvency shocks trigger the interbank run if the network is unraveled beyond a critical point. The model is applied to identify the optimal capital injection targets of government bailouts and study the systemic effects of the proposed regulations on restraining the highly connected banks.

 

(with Bryan Kelly and Seth Pruitt)

Econometrics method used in ``Characteristics Are Covariances: A Unified Model of Risk and Return".

This paper studies the general equilibrium effects of industry-specific productivity shock in an economy in which sectors are connected via input-output linkages. My central finding is productivity shocks do not only travel downstream as is standard in the literature, but also trigger demand change at the final consumption industries, which propagates upstream. I label this novel mechanism "reflection channel". Differences of the elasticity of substitution of consumption and production for the final consumption industries drive the demand change. Empirically, the magnitude of the reflection channel is around three times greater than the previously studied downstream channel. When a positive productivity shock reaches a final consumption industry, consumers substitute towards it much more than producers substitute away, increasing the demand of its upstream industries, and vice versa.

Working Papers

 

Teaching

 

Managing Financial Risks (M.S. in Finance)

Contact

 

Email:     ys@jhu.edu
Phone:   410-234-4505

Johns Hopkins University Carey Business School
100 International Drive, Baltimore MD 21202