Ruodu Wang

Associate Professor

Ruodu WangContact Information:
Ruodu Wang

Ruodu Wang's personal website

Research interests

Professor Wang's research interests mainly lie in quantitative risk management, which includes various topics in actuarial science, financial engineering, operations research, probability theory, and statistics.
His current specific research topics include:

  • risk, ambiguity and model uncertainty
  • systemic risk
  • risk sharing and market equilibria
  • decision theory
  • risk measures
  • risk aggregation
  • dependence modeling and copulas
  • probabilistic combinatorics
  • robust statistics


  • 2012 PhD (Mathematics) Georgia Institute of Technology, U.S.A. Advisor: Liang Peng.
  • 2009 MS (Financial Mathematics) Peking University, China.
  • 2006 BS (Mathematics) Peking University, China.

Professor Wang joined the Department of Statistics and Actuarial Science at the University of Waterloo in August 2012, and was promoted to Associate Professor in 2017.  He currently serves as a Co-Editor of the European Actuarial Journal (2016 - present) and a Co-Editor of ASTIN Bulletin - The Journal of the International Actuarial Association (2018 - present), and is an affiliated member of RiskLab at ETH Zurich, Switzerland (2015 - present).

Selected publications

  • Embrechts, P., Liu, H. and Wang, R. (2018). Quantile-based risk sharing. Operations Research, forthcoming.
  • Cai, J., Liu, H. and Wang, R. (2018). Asymptotic equivalence of risk measures under dependence uncertainty. Mathematical Finance, forthcoming.
  • Furman, E., Wang, R. and Zitikis, R. (2017). Gini-type measures of risk and variability: Gini shortfall, capital allocations, and heavy-tailed risks. Journal of Banking and Finance, 83, 70–84.
  • Bernard, C., Rüschendorf, L., Vanduffel, S. and Wang, R. (2017). Risk bounds for factor models. Finance and Stochastics, 21(3), 631–659.
  • Wang, B. and Wang, R. (2016). Joint mixability. Mathematics of Operations Research, 41(3), 808-826.
  • Embrecths, P., Hofert, M. and Wang, R. (2016). Bernoulli and tail-dependence compatibility. Annals of Applied Probability, 26(3), 1636–1658.
  • Puccetti, G. and Wang, R. (2015). Extremal dependence concepts. Statistical Science, 30(4), 485–517.
  • Embrechts, P., Wang, B. and Wang, R. (2015). Aggregation-robustness and model uncertainty of regulatory risk measures. Finance and Stochastics, 19(4), 763–790.
  • Wang, R., Bignozzi, V. and Tsanakas, A. (2015). How superadditive can a risk measure be? SIAM Journal on Financial Mathematics, 6(1), 776–803.
  • Bernard, C., Jiang, X. and Wang, R. (2014). Risk aggregation with dependence uncertainty. Insurance: Mathematics and Economics, 54, 93–108.
  • Zhang, R., Peng, L. and Wang, R. (2013). Tests for covariance matrix with fixed or divergent dimension. Annals of Statistics, 41(4), 2075–2096.
  • Wang, R., Peng, L. and Yang, J. (2013). Bounds for the sum of dependent risks and worst Value-at-Risk with monotone marginal densities. Finance and Stochastics, 17(2), 395–417.
  • Wang, B. and Wang, R. (2011). The complete mixability and convex minimization problems for monotone marginal distributions. Journal of Multivariate Analysis, 102(10), 1344–1360.
University of Waterloo
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