Victor DeMiguel

Professor | London Business School


Teaching picture

Contact information
London Business School
Regent's Park, London NW1 4SA, UK
E-mail:avmiguel@london.edu
Phone: +44 (0) 207 000 8831
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My main research interest is portfolio optimization and asset pricing in the presence of estimation error, transaction costs, and taxes. More generally, I am interested in applications of optimization in finance and management. I serve as an Associate Editor of Management Science and Operations Research and I am an external consultant to asset-management firms such as SYZ and Goldman Sachs.

Portfolio Optimization

Which Factors with Price-Impact Costs?, with S.A. Li and A. Martin-Utrera, LBS working paper (2020). Nominated as finalist for the 2020 INFORMS Finance Student Paper competition. (Manuscript.pdf). 


What Alleviates Crowding in Factor Investing?, with A. Martin-Utrera and R. Uppal, LBS working paper (2020). Accepted for presentation at 2021 AFA Meeting. (Manuscript.pdf). 


Optimal Portfolio Diversification via Independent Component Analysis, with N. Lassance and F. Vrins, LBS working paper (2020). (Manuscript.pdf). 


A Transaction-Cost Perspective on the Multitude of Firm Characteristics, with A. Martin-Utrera, F.J. Nogales, and R. Uppal, The Review of Financial Studies, 33(5), 2180--2222 (2020). (Manuscript.pdf). 


Technical NoteA  Robust Perspective on Transaction Costs in Portfolio Optimization, with A.V. Olivares-Nadal, Operations Research, 66(3), 733--739, (2018). (Manuscript.pdf).


Multiperiod Portfolio Optimization with Multiple Risky Assets and General Transaction Costs, with X. Mei and F.J. Nogales, Journal of Banking and Finance, 69, 108--120 (2016). (Manuscript.pdf).


Parameter Uncertainty in Multiperiod Portfolio Optimization with Transaction Costs, with A. Martin-Utrera and F.J. Nogales,  Journal of Financial and Quantitative Analysis, 50(6), 1443--1471 (2015). (Manuscript.pdf).


Stock Return Serial Dependence and Out-of-Sample Portfolio Performance, with F.J. Nogales and R. Uppal, The Review of Financial Studies, 27(4), 1031--1073 (2014). (Manuscript.pdf), (ElectronicCompanion.pdf).


Improving Portfolio Selection Using Option-Implied Volatility and Skewness, with Y. Plyakha, R. Uppal, and G. Vilkov,  Journal of Financial and Quantitative Analysis, 48(6), 1813--1845 (2013). (Manuscript.pdf).


Size Matters: Optimal Calibration of Shrinkage Estimators for Portfolio Selection, with A. Martin-Utrera and F.J. Nogales, Journal of Banking and Finance, 37(8), 3018--3034 (2013). (Manuscript.pdf).


A Generalized Approach to Portfolio Optimization: Improving Performance by Constraining Portfolio Norms, with L. Garlappi, F.J. Nogales, and R. Uppal, Management Science, 55(5), 798—812 (2009). (Manuscript.pdf), (ElectronicCompanion.pdf).


Portfolio Selection with Robust Estimation
, with F.J. Nogales, Operations Research, 57(3), 560—577 (2009). (Manuscript.pdf), (Electronic Companion.pdf).


Optimal versus Naive Diversification: How Inefficient Is the 1/N Portfolio Strategy?, with L. Garlappi and R. Uppal. The Review of Financial Studies 22(5), 1915--1953 (2009). (Manuscript.pdf). "Appendix to 1/N: Implementation Details and Robustness Checks"  (Appendix.pdf).


Portfolio Investment with the Exact Tax Basis via Nonlinear Programming, with R. Uppal, Management Science, 51(2), 277—290 (2005).  (Manuscript.pdf).

Operations Research

Cover-Up of Vehicle Defects: The Role of Regulator Investigation Announcements, with S.-H Cho and W. Hwang. Forthcoming in Management Science (2020). (Manuscript.pdf).

 

Wholesale Price Contracts for Reliable Supply, with W. Hwang and N. Bakshi, Production and Operations Management, 27(6), 1021--1037 (2018). (Manuscript.pdf).

 

Supplier Capacity and Intermediary Profits: Can Less Be More?, with E. Adida and N. Bakshi, Production and Operations Management, 25(4), 630--646 (2016). (Manuscript.pdf), (Electronic Companion.pdf).


Supply Chain Competition with Multiple Manufacturers and Retailers, with E. Adida. Operations Research, 59(1), 156--172 (2011). (Manuscript.pdf), (Electronic Companion.pdf).


A Stochastic Multiple Leader Stackelberg Model: Analysis, Computation, and Application, with H. Xu, Operations Research, 57(5), 1220—1235 (2009). (Manuscript.pdf), (Electronic Companion.pdf).


On Decomposition Methods for a Class of Partially Separable Nonlinear Programs, with F.J. Nogales. Mathematics of Operations Research, 33(1), 119—139 (2008). (Manuscript.pdf).


What Multistage Stochastic Programming Can Do for Network Revenue Management, with N. Mishra. LBS working paper, (2008). (Manuscript.pdf).

A Local Convergence Analysis of Bilevel Decomposition Algorithms, with W. Murray, Optimization and Engineering, 7, 99—133 (2006). (Manuscript.pdf).


A Two-Sided Relaxation Scheme for Mathematical Programs with Equilibrium Constraints, with M.P. Friedlander, F.J. Nogales, and S. Scholtes, SIAM Journal on Optimization, 16(2), 587—609 (2005). (Manuscript.pdf).

Revenue Management With Correlated Demand Forecasting, with K. Fridgeirsdottir, C. Stefanescu, and S. Zenios. 2004 Proceedings of the American Statistical Association , Business and Economics Statistics Section, Alexandria, VA: American Statistical Association. (Manuscript.pdf)


Two Decomposition Algorithms for Nonconvex Optimization Problems with Global Variables. Ph.D. thesis, Stanford University, (2001). (Thesis.pdf)


A Class of Quadratic Programming Test Problems with Global Variables
, with W. Murray. Technical Report SOL 01-2, Dept. of MS&E, Stanford University, (2001). (Manuscript.pdf)


Generating Optimization Problems with Global Variables
, with W. Murray. Technical Report SOL 01-3, Dept. of MS&E, Stanford University, (2001). (Manuscript.pdf)    


An Analysis of Collaborative Optimization Methods, with W. Murray. Eight AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, (2000).  (Manuscript.pdf)

Other

Obituary to Angel Victor de Miguel Rodriguez, (2008). (Obit.pdf)