Prof. Zhiguo He

Papers

  • Working papers and forthcoming papers
  • Stimulus Loan Wanes and Shadow Banking Waxes in China: Evidence from Local Government Debt, Slides, with Zhuo Chen and Chun Liu. Paper coming soon.
    China's four-trillion-yuan stimulus package in 2009 fueld by bank loans planted the seed of rising shadow banking in China seveal years later.
  • Leverage Dynamics without Commitment, with Peter DeMarzo, 11/2016.
    Firms who cannot commit to their future debt policies will issue debt but never repurchase at any point of time, and the firm's leverage follows an endogenous mean-reverting process in response to asset growth shocks. Equity and debt valuations and endogeous debt issuance polices are derived in closed-form for the log-normal cash-flow process.
  • A Model of Safe Asset Determination, with Arvind Krishnarthy and Konstantin Milbradt, 02/2016. R&R in American Economic Review.
    The safe asset tends to be the bonds issued by a relatively strong country. Large debt size helps the safety status given a high global demand for safe asset (previously circulated under the title of "A model of reserve asset.")
  • Intermediary Asset Pricing: New Evidence from Many Asset Classes, with Bryan Kelly and Asaf Manela, 10/2016, forthcoming in Journal of Financial Economics.
    The market equity capital ratio factor of NY Fed's primary dealers not only prices equity portfolios but also other more sophisticated asset classes like fixed income, detivatives, commodities, and currencies. Primary dealers' leverage is strongly counter-cyclical.
    Download data from here
    http://apps.olin.wustl.edu/faculty/manela/hkm/intermediarycapitalrisk/HeKellyManelaFactors_And_Test_Assets_20151221.zip
  • Quantifying Liquidity and Default Risks of Corporate Bonds over the Business Cycle, with Hui Chen, Rui Cui, and Konstantin Milbradt, 08/2016. R&R in Review of Financial Studies.
    We generate both non-default and default components of corporate bonds by introducing over-the-counter search frictions into a structural model with time varying macroeconomic conditions. We match the credit spreads, default probabilities, and bid-ask spreads across business cycles and different rating classes. Through a novel model-based decomposition scheme that captures the interaction between default and liquidity, we find the interaction terms account for about 10%~24% of observed credit spreads.
  • A Macroeconomic Framework for Quantifying Systemic Risk, with Arvind Krishnamurthy, 06/2014. R&R in American Economic Review. Presentation Slides, Matlab code.
    Winner of Swiss Finance Institute Outstanding Paper Award 2012
    Systemic risk arises when shocks lead to states where a disruption in financial intermediation adversely affects the economy and feeds back into further disrupting financial intermediation. We calibrate our model and use it to match the systemic risk apparent during the 2007/2008 financial crisis.

  • Publications
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