ÌÇÐÄVlog

People

Dr Peng Liu

Lecturer
School of Mathematics, Statistics and Actuarial Science (SMSAS)
Dr Peng Liu

Profile

Qualifications

  • PhD Nankai University, (2015)

  • Master Nankai University, (2012)

  • Bachelor Zhengzhou University, (2009)

Appointments

ÌÇÐÄVlog

  • Lecturer, School of Mathematics, Statistics and Actuarial Science, ÌÇÐÄVlog (1/7/2020 - present)

Other academic

  • Postdoctoral Fellow, University of Waterloo, University of Waterloo (1/10/2018 - 30/6/2020)

  • Senior SNSF Researcher, University of Lausanne, University of Lausanne (1/7/2016 - 30/9/2018)

Research and professional activities

Research interests

Optimal reinsurance and decentralized insurance

Optimal reinsurance, peer to peer risk sharing, decentralized insurance

Open to supervise

Quantitative Risk Management (QRM)

Risk measures, risk sharing and risk aggregation with model uncertainty.

Open to supervise

Extreme Value Theory

Apply extreme value theory in actuarial science and queueing systems.

Mathematical Finance

Portfolio selection with model uncertainty

Teaching and supervision

Current teaching responsibilities

  • Finance and Financial Reporting (MA211)

Publications

Publications (6)

Assa, H. and Liu, P., (2024). Factor risk measures

Han, X. and Liu, P., (2024). Robust Lambda-quantiles and extreme probabilities

Liu, P., Tsanakas, A. and Wei, Y., (2024). Risk sharing with Lambda value at risk under heterogeneous beliefs

Liu, P., Mao, T. and Wang, R., (2024). Quantiles under ambiguity and risk sharing

Chambers, CP., Liu, P. and Wang, R., (2023). A duality between utility transforms and probability distortions

Bai, L., Debicki, K. and Liu, P., (2021). Extremes of Gaussian random fields with non-additive dependence structure.

Journal articles (27)

Liu, P., (2025). . Mathematics of Operations Research. 50 (1), 313-333

Fadina, T., Hu, J., Liu, P. and Xia, Y., (2024). . European Journal of Operational Research. 321 (1), 231-242

Chen, Y., Liu, P., Tan, KS. and Wang, R., (2023). . Statistica Sinica. 33 (2), 851-872

Fadina, T., Liu, P. and Wang, R., (2023). . SIAM Journal on Financial Mathematics. 14 (2), 644-662

Debicki, K., Hashorva, E., Liu, P. and Michna, Z., (2023). . ALEA : Latin American Journal of Probability and Mathematical Statistics. 20 (1), 249-289

Debicki, K., Hashorva, E. and Liu, P., (2023). . Queueing Systems. 105 (1-2), 139-170

Chen, Y., Liu, P., Liu, Y. and Wang, R., (2022). . Mathematical Finance. 32 (1), 421-451

Liu, P., Schied, A. and Wang, R., (2021). . Mathematics of Operations Research. 46 (4), 1490-1512

Liu, P., Wang, R. and Wei, L., (2020). . Insurance: Mathematics and Economics. 91, 144-154

Dȩbicki, K., Liu, P. and Michna, Z., (2020). . Journal of Theoretical Probability. 33 (4), 2119-2166

Ji, L., Liu, P. and Robert, S., (2019). . Statistics and Probability Letters. 154, 108551-108551

Bai, L. and Liu, P., (2019). . Journal of Theoretical Probability. 32 (3), 1581-1612

Cheng, D. and Liu, P., (2019). . Extremes. 22 (3), 433-457

Dȩbicki, K. and Liu, P., (2019). . Extremes. 22 (3), 499-521

Dȩbicki, K. and Liu, P., (2018). Extremes of nonstationary Gaussian fluid queues. Advances in Applied Probability. 50 (3), 887-917

Bai, L., Dȩbicki, K. and Liu, P., (2018). Extremes of vector-valued Gaussian processes with Trend. Journal of Mathematical Analysis and Applications. 465 (1), 47-74

Kosiński, KM. and Liu, P., (2018). Sample path properties of reflected Gaussian processes. Latin American Journal of Probability and Mathematical Statistics. 15 (1), 453-453

Liu, P. and Ji, L., (2017). Extremes of locally stationary chi-square processes with trend. Stochastic Processes and their Applications. 127 (2), 497-525

Dȩbicki, K., Hashorva, E. and Liu, P., (2017). Uniform tail approximation of homogenous functionals of Gaussian fields. Advances in Applied Probability. 49 (4), 1037-1066

Dȩbicki, K., Liu, P., Mandjes, M. and Sierpińska-Tułacz, I., (2017). Lévy-driven GPS queues with heavy-tailed input. Queueing Systems. 85 (3-4), 249-267

Dȩbicki, K., Hashorva, E. and Liu, P., (2017). Extremes of Gaussian random fields with regularly varying dependence structure. Extremes. 20 (2), 333-392

Dȩbicki, K., Hashorva, E. and Liu, P., (2017). Extremes ofγ-reflected Gaussian processes with stationary increments. ESAIM: Probability and Statistics. 21, 495-535

Liu, P., Zhang, C. and Ji, L., (2017). A note on ruin problems in perturbed classical risk models. Statistics & Probability Letters. 120, 28-33

Liu, P. and Ji, L., (2016). . Probability and Mathematical Statistics. 36, 1-20

Dębicki, K. and Liu, P., (2016). . Extremes. 19 (2), 273-302

Liu, P., Hashorva, E. and Ji, L., (2015). On the γ-reflected processes with fBm input*. Lithuanian Mathematical Journal. 55 (3), 402-412

Shi, Y., Liu, P. and Zhang, C., (2013). On the compound Poisson risk model with dependence and a threshold dividend strategy. Statistics & Probability Letters. 83 (9), 1998-2006

Books (1)

Assa, H., Liu, P. and Wang, S., (2025). . Springer. 978-3-031-80574-5

Book chapters (1)

Assa, H., Wang, S. and Liu, P., (2025). Introduction to Quantitative Risk Management and Risk in Agricultural Business: Cutting Edge Quantitative Concepts and Methodologies. In: Quantitative Risk Management in Agricultural Business. Editors: Assa, H., Liu, P. and Wang, S., . Springer. 3031805739. 9783031805738

Contact

peng.liu@essex.ac.uk
+44 (0) 1206 876438

Location:

2.526, Colchester Campus

More about me