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Victor DeMiguel

Professor of Management Science and Operations

MSc (Madrid) MSc PhD (Stanford)
Giá máy bắn cá

Giá máy bắn cá Professor Victor DeMiguel’s main research interest is portfolio optimization in the presence of estimation error, transaction costs, and taxes. More generally, he is interested in applications of optimization in finance and management.

Giá máy bắn cá He teaches MBA courses on Business and Financial Analytics as well as the Decision Making Strategies for Leaders and the Advanced Development Programmes of Executive Education. He is the recipient of the Junior Faculty Teaching Award for 2003/2004 and the Outstanding Core Course Teaching Award for 2008/2009 at London Business School.

Professor DeMiguel’s papers have been published in most of the top journals of his field, including Management Science and Operations Research. One of his most popular papers received the Best Paper Award from the Institute for Quantitative Investment Research and was published in The Review of Financial Studies.

Professor DeMiguel is a regular speaker at academic and practitioner conferences on quantitative investment management and he has consulted for several financial institutions. He is a member of the editorial boards of Operations Research and Management Science.

  • Portfolio optimisation
  • Investment management
  • Operations research

2020

Cover-up of vehicle defects: the role of regulator investigation announcements

Giá máy bắn cáCho S-H; DeMiguel V; Hwang W

Management Science 2020 Online first

2019

A transaction-cost perspective on the multitude of firm characteristics

DeMiguel V; Martin-Utrera A; Nogales F J; Uppal R

Review of Financial Studies 2019 Vol 33:5 p 2180-2222

2018

Technical note: a robust perspective on transaction costs in portfolio optimization

Giá máy bắn cáOlivares-Nadal A V; DeMiguel V

Operations Research 2018 Vol 66:3 p 733-739

Wholesale price contracts for reliable supply

DeMiquel V; Hwang W; Bakshi N

Giá máy bắn cáProduction and Operations Management 2018 Vol 27:6 p 1021-1037

2016

Multiperiod portfolio optimization with multiple risky assets and general transaction costs

Mei X; DeMiguel V; Nogales F

Journal of Banking and Finance 2016 Vol 69:August p 108-120

Supplier capacity and intermediary profits: can less be more?

DeMiguel V; Adida E; Bakshi N

Production and Operations Management 2016 Vol 25:4 p 630-646

2015

Parameter uncertainty in multiperiod portfolio optimization with transaction costs

Giá máy bắn cáDeMiguel V; Martin-Utrera A; Nogales F J

Journal of Financial and Quantitative Analysis 2015 Vol 50:6 p 1443-1471

2014

Stock return serial dependence and out-of-sample portfolio

Giá máy bắn cáDeMiguel V; Nogales F J; Uppal R

Giá máy bắn cáReview of Financial Studies 2014 Vol 27:4 p 1031-1073

2013

Improving portfolio selection using option-implied volatility and skewness

Giá máy bắn cáDe Miguel V; Plyakha Y; Uppal R; Vilkov G

Journal of Financial and Quantitative Analysis 2013 Vol 48:6 p 1813-1845

Size matters: Optimal calibration of shrinkage estimators for portfolio selection

Giá máy bắn cáDeMiguel V; Martin-Utrera A; Nogales F J

Giá máy bắn cáJournal of Banking and Finance 2013 Vol 37:8 p 3018-3034

2011

Supply chain competition with multiple manufacturers and retailers

DeMiguel V; Adida E

Operations Research 2011 Vol 59:1 p 156-172

2009

A generalized approach to portfolio optimization: Improving performance by constraining portfolio norms

DeMiguel V; Garlappi L; Nogales F J; Uppal R

Giá máy bắn cáManagement Science 2009 Vol 55:5 p 798-812

A stochastic multiple leader Stackelberg model: Analysis, computation, and application

DeMiguel V; Xu H

Operations Research 2009 Vol 57:5 p 1220-1235

Optimal versus naive diversification: How inefficient is the 1/N portfolio strategy?

Giá máy bắn cáDeMiguel V; Garlappi L; Uppal R

Review of Financial Studies 2009 Vol 22:5 p 1915-1953

Portfolio selection with robust estimation

DeMiguel V; Nogales F J

Operations Research 2009 Vol 57:3 p 560-577

2008

On decomposition methods for a class of partially seperable nonlinear programs

Giá máy bắn cáDe Miguel V; Nogales F J

Mathematics of Operations Research 2008 Vol 33:1 p 119-139

2006

A local convergence analysis of bilevel decomposition algorithms

DeMiguel V; Murray W

Giá máy bắn cáOptimization and Engineering 2006 Vol 7:2 p 99-133

A two-sided relaxation scheme for mathematical programs with equilibrium constraints.

DeMiguel V; et al.

Giá máy bắn cáSIAM Journal on Optimization 2006 Vol 16:2 p 587-609

Portfolio investment with the exact tax basis via nonlinear programming

DeMiguel V; Uppal R

Management Science 2006 Vol 51:2 p 277-290

2004

Revenue management with correlated demand forecasting

DeMiguel V; Fridgeirsdottir K; Stefanescu C; et al.

in Proceedings of the American Statistical Association, Business and Economics Statistics Section, Alexandria, VA, 2004

2001

Class of quadratic programming rest problems with global variables

Giá máy bắn cáDeMiguel V; Murray W

Technical report SOL 01-2 Dept of MS&E, Stanford University, 2001

Two decomposition algorithms for nonconvex optimization problems with global variables

DeMiguel V; Murray W

Giá máy bắn cáTechnical report SOL 01-1, Dept of MS&E, Stanford University, 2001

2000

An analysis of collaborative optimization methods

DeMiguel V; Murray W

Giá máy bắn cáin Proceedings of the Eighth AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, 2000

2018

Cover-Up of vehicle defects: the role of regulator investigation announcements

Cho S-H; DeMiguel V; Hwang W

HEC Paris Research Paper

Optimal portfolio diversification via independent component analysis

Giá máy bắn cáLassance N; DeMiguel V; Vrins F D

Social Sciences Research Network

2017

A portfolio perspective on the multitude of firm characteristics

Giá máy bắn cáDeMiquel V; Martin-Utrera A; Nogales FJ; Uppal R

Giá máy bắn cáSocial Sciences Research Network

2015

Simple contracts for reliable supply

Giá máy bắn cáBakshi N; Hwang W; DeMiguel V

Giá máy bắn cáWorking Paper

2006

What multistage stochastic programming can do for network revenue management

Giá máy bắn cáDeMiguel V; Mishra N

Decision Sciences Working Paper


Teaching portfolio

Our teaching offering is updated annually. Faculty and programme material are subject to change.

  • Masters Degrees core courses

    A key part of our Masters programmes curriculum.

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  • Masters Degrees electives

    Optional courses providing a deep dive into specialist areas.

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    • Financial Analytics
      In today's information age, managers increasingly rely on quantitative models to make financial decisions that have a profound impact on the performance of their organizations. Often business analysts produce the quantitative models that top management use to support their decision making, but top management must also understand the strengths and weaknesses of the models if they are to use them effectively to support their decisions. The objective of this course is to equip you with the frameworks, tools, and methodologies necessary to build and/or be an educated user of quantitative models for financial decision making. The course is suitable for students seeking a career in finance, but also for students with broader interests who wish to strengthen their general modelling skills, and it does not require any quantitative background other than what is covered in the MBA core courses.
      PROGRAMMES WITH THIS ELECTIVE
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  • Executive Education

    Giá máy bắn cá Short programmes offering academic excellence, global focus and exceptional diversity of perspective.

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