Working Papers

Arbitrage, Financial Accelerator, and Sudden Market Freezes” (2017) (Job Market Paper)

We develop an infinite horizon model that links the intermediation in both the financial and real sectors. Intermediaries provide market liquidity and exploit the arbitrage profits in segmented financial markets. To do so, they use their productive capital as collateral. We show that the weakened intermediation and arbitrage losses are mutually reinforcing during an economic downturn. This forces intermediaries to de-lever and leads to liquidity spirals in both financial and real sectors. Also, the distress might further open up the possibility of sudden run-like market freezes, where intermediaries are denied access to renewed funding through arbitrage. We evaluate the effect of three intervention policies: direct purchase of distressed assets, interest rate cuts, and capital injection. We find that capital injection is most effective as it loosens the margin requirement. The interest cut is least effective because it exacerbates the capital misallocation.

Best Friend or Worst Enemy? — Dynamics and Multiple Equilibria with Arbitrage, Production and Collateral Constraints” (2016)

Previously circulated with the title “Recovery Is Never Easy”

This paper is a theoretical study into how arbitrage trading affects and is affected by aggregate economic activities over the business cycle. We develop a tractable framework incorporating limits of arbitrage within a conventional macroeconomic model. By featuring a wide range of collateral categories, we derive the model dynamics analytically to illustrate the role of arbitrage trading in the expansion of the aggregate economy. Also, our discussion of the multiple equilibria allows us to examine the nonlinear aspects of financial crises through regime switching, and to shed lights on the implications of post-crisis recovery.

Presented or Accepted for Presentation at:

  • AFA 2018 Ph.D. Poster Session, Jan 2018, Philadelphia, US
  • Swiss Finance Institute Research Day 2017, June 2017, Genzensee, Switzerland
  • RES Symposium of Junior Researchers, April 2017, University of Bristol, Bristol, UK
  • Institute for Banking & Finance Brown Bag Seminar, March 2017, University of Zürich, Zürich, Switzerland
  • European Winter Meeting of the Econometric Society 2016, December 2016, Edinburgh

Risky Arbitrage and Collateral Policies (2014)

We construct a dynamic model economy in which investors from segmented markets have varying financial asset demands. Intermediaries make arbitrage profits by exploiting the price spreads across markets. Meanwhile, they are required to separately post collateral to support arbitrage trades. We show that with volatile asset demands, arbitrage becomes risky. With information frictions, a looser collateral policy might render the economy more vulnerable to extremely large demand shocks, while a tighter collateral constraint helps maintain the stability at the cost of market liquidity supply.

Presented or Accepted for Presentation at:

  • Annual Conference of the Swiss Society for Financial Market Research, March 2017, Zürich
  • Royal Economic Society Ph.D. Meetings, January 2017, London
  • Institute for Banking & Finance Brown Bag Seminar, University of Zürich, September 2016, Zürich
  • Annual Meeting of the German Sociopolicital Association 2016, August 2016, Augsburg
  • Department of Economics Brown Bag Seminar, University of Zürich, September 2016, Zürich
  • 9th World Congress of the Bachelier Finance Society, July 2016, New York (two presentations, one by co-author)
  • Midwest Macro Meetings 2016, Mai 2016, Lafayette
  • Swiss Finance Institute Research Days 2014, June 2014, Gerzensee (early version entitled “Spillover and Amplification with Financially Constrained Intermediaries”)

“Analytical Option Pricing under an Asymmetrically Displaced Double Gamma Jump-Diffusion Model” (2013), joint with Matthias Thul

We generalize the Kou (2002) double exponential jump-diffusion model in two directions. First, we independently displace the two tails of the jump size distribution away from the origin. Second, we allow for each of the displaced tails to follow a gamma distribution with an integer-valued shape parameter. Both extensions introduce additional flexibility in the tails of the corresponding return distribution. Our model is supported by an equilibrium economy and we obtain closed-form solutions for European plain vanilla options. Our valuation function is computationally fast to evaluate and robust across the full parameter space. We estimate the physical model parameters through maximum likelihood and for a diverse sample of equities, commodities and exchange rates. For all assets under consideration, the original Kou (2002) model can be rejected in favor of our newly introduced asymmetrically displaced double gamma dynamics.

Available at SSRN:

Presented or Accepted for Presentation at:

  • University of New South Wales Brown Bag Seminar, April 2013, Sydney
  • 26th Australasian Finance & Banking Conference, December 2013, Sydney
  • Institute for Banking & Finance Brown Bag Seminar, March 2014, Zürich
  • Advances in Computational Economics and Finance, March 2014, Zürich
  • 11th German Probability and Statistics Days, March 2014, Ulm
  • Southwestern Finance Association 2014 Annual Conference, March 2014, Dallas
  • 50th Anniversary Meeting of the Eastern Finance Association, April 2014, Pittsburgh
    — The Chicago Trading Company Outstanding Paper in Derivatives Award —
  • 17th Annual Conference of the Swiss Society for Financial Market Research, April 2014, Zürich
  • 8th World Congress of the Bachelier Finance Society, June 2014, Brussels
  • 2014 FMA European Conference, June 2014, Maastricht

Additional Resources:

Recent Posts

FAQs for the AD-DG Model

In a recent working paper, cited as Thul and Zhang (2014) below, we propose a novel jump-diffusion model whose jump sizes follow an asymmetrically displaced double gamma (AD-DG) distribution. In this blog post I discuss some of the feedback that we received during seminar and conference presentations. The collection is not exhaustive and will be extended from time to time.

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  1. Stochastic Volatility with AD-DG Jumps Leave a reply