Anders Max Reppen

Current appointment

Assistant Professor, Questrom School of Business, Boston University.
Junior Faculty Fellow, Rafik B. Hariri Institute for Computing and Computational Science & Engineering

Contact details

Address
A. Max Reppen
Boston University Questrom School of Business
Rafik B. Hariri Building
595 Commonwealth Avenue
Boston, MA 02215
Email
amreppen@bu.edu

Preprints

  1. Preparing for the Storm: Firm Policies and Time-varying Recession Risk Available at SSRN (2023), by D. Livdan, A. Kakhbod, AMR, and T. Umar. [ bib ]
  2. Neural Optimal Stopping Boundary arXiv preprint (2022): arXiv:2205.04595, by AMR, H. M. Soner, and V. Tissot-Daguette. [ bib ]
  3. Segmented Trading Markets: Competition, Fees, and Tax Policies Available at SSRN (2022), by K. Back, O. Celebi, A. Kakhbod, and AMR. [ bib ]
  4. Why is Cash U-Shaped in Firm Size? Available at SSRN (2023), by A. Kakhbod, AMR, T. Umar, and H. Xing. [ bib ]

Publications

  1. Factor Learning Portfolio Optimization Informed by Continuous-Time Finance Models ICML Workshop on New Frontiers in Learning, Control, and Dynamical Systems., 2023, by S. Geng, Z. Kuang, AMR, and K. R. Sircar. [ bib ]
  2. A Mean Field Games Model for Cryptocurrency Mining Management Science (to appear) (2023), by Z. Li, AMR, and R. Sircar. [ bib | arXiv ]
  3. Deep empirical risk minimization in finance: Looking into the future Mathematical Finance 33, no. 1 (2023): 116–145, by AMR and H. M. Soner. [ bib | arXiv ]
  4. Deep Stochastic Optimization in Finance Digital Finance (2022): 1–21, by AMR, H. M. Soner, and V. Tissot-Daguette. [ bib | arXiv ]
  5. Stochastic control of optimized certainty equivalents SIAM Journal on Financial Mathematics 13, no. 3 (2022): 745–772, by J. Backhoff Veraguas, AMR, and L. Tangpi. [ bib | arXiv ]
  6. Discrete Dividend Payments in Continuous Time Mathematics of Operations Research 46, no. 3 (2021): 895–911, by J. Keppo, AMR, and H. M. Soner. [ bib | arXiv ]
  7. Deep PQR: Solving Inverse Reinforcement Learning using Anchor Actions International Conference on Machine Learning. PMLR 119: 3431–3441, 2020, by S. Geng, H. Nassif, C. Manzanares, MR, and R. Sircar. [ bib | arXiv ]
  8. Viscosity solutions for controlled McKean–Vlasov jump-diffusions SIAM Journal on Control and Optimization 58, no. 3 (2020): 1678–1699, by M. Burzoni, V. Ignazio, AMR, and H. M. Soner. [ bib | arXiv ]
  9. Optimal dividend policies with random profitability Mathematical Finance 30, no. 1 (2020): 228–259, by AMR, J.-C. Rochet, and H. M. Soner. [ bib | arXiv ]
  10. Are Bitcoin bubbles predictable? Combining a generalized Metcalfe's Law and the Log-Periodic Power Law Singularity model Royal Society Open Science 6 (2019), by S. Wheatley, D. Sornette, T. Huber, MR, and R. N. Gantner. [ bib | arXiv ]
  11. A primer on portfolio choice with small transaction costs Annual Review of Financial Economics 9, no. 1 (2017), by J. Muhle-Karbe, MR, and H. M. Soner. [ bib | arXiv ]
  12. Optimal Consumption and Investment with Fixed and Proportional Transaction Costs SIAM Journal on Control and Optimization 55, no. 3 (2017): 1673–1710, by A. Altarovici, MR, and H. M. Soner. [ bib | arXiv ]

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Previously

2018–2020, Princeton University, ORFE
Department of Operations Research and Financial Engineering (ORFE).
Postdoctoral Research Fellow, supported by Swiss National Science Foundation grant SNF 181815.
Postdoctoral Research Associate.
2014–2018, ETH Zurich, D-MATH
Ph.D. (Dr.Sc.) in mathematics from ETH Zurich.
2011–2013, KTH, Royal Institute of Technology
M.Sc. in mathematics from KTH, Royal Institute of Technology, Stockholm.
2009–2013, Stockholm School of Economics
B.Sc. in business and economics from Stockholm School of Economics.
2008–2011, KTH, Royal Institute of Technology
B.Sc. in engineering physics from KTH, Royal Institute of Technology, Stockholm.