[1a] Bienstock D., Computational study of a family of mixed integer quadratic programming problems, Math. Programming 74 (1996), 121 140



Similar documents
Optimization Theory for Large Systems

CONSTRUCTION OF A BASKET OF DIVERSIFIED PORTFOLIOS, VIA QUANTUM ANNEALING, TO AID IN CARDINALITY CONSTRAINED PORTFOLIO OPTIMIZATION

The Master s Degree with Thesis Course Descriptions in Industrial Engineering

Big Data - Lecture 1 Optimization reminders

Target Strategy: a practical application to ETFs and ETCs

Genetic algorithms for solving portfolio allocation models based on relative-entropy, mean and variance

Rivista ISI 2007 SCOPUS SCIMAGOJR Mathscinet Zentralblatt Econlit

Rebalancing an Investment Portfolio in the Presence of Convex Transaction Costs

Nonlinear Programming Methods.S2 Quadratic Programming

Multistage Stochastic Mean-Variance Portfolio Analysis with Transaction Costs

Enhancing the Teaching of Statistics: Portfolio Theory, an Application of Statistics in Finance

Computing a Nearest Correlation Matrix with Factor Structure

Further Study on Strong Lagrangian Duality Property for Invex Programs via Penalty Functions 1

A Weighted-Sum Mixed Integer Program for Bi-Objective Dynamic Portfolio Optimization

GENERALIZED INTEGER PROGRAMMING

Computer Handholders Investment Software Research Paper Series TAILORING ASSET ALLOCATION TO THE INDIVIDUAL INVESTOR

Chapter 1 INTRODUCTION. 1.1 Background

[1] F. Jarre and J. Stoer, Optimierung, Lehrbuch, Springer Verlag 2003.

Nonlinear Optimization: Algorithms 3: Interior-point methods

Operations Research and Financial Engineering. Courses

An optimisation framework for determination of capacity in railway networks

Solution of a Large-Scale Traveling-Salesman Problem

Sunil Chopra J. L. Kellogg Graduate School of Management Northwestern University Leverone Hall Evanston, Illinois (847)

Why is SAS/OR important? For whom is SAS/OR designed?

How To Understand And Understand The Theory Of Computational Finance

Operations Research. Inside Class Credit Hours: 51 Prerequisite:Linear Algebra Number of students : 55 Semester: 2 Credit: 3

Index tracking UNDER TRANSACTION COSTS:

TOMLAB - For fast and robust largescale optimization in MATLAB

Practical Portfolio Optimization

FPGA Acceleration of Mean Variance Framework for Optimal Asset Allocation

Risk Budgeting: Concept, Interpretation and Applications

Industrial and Systems Engineering (ISE)

NEW ONLINE COMPUTATIONAL FINANCE CERTIFICATE

Optimal Scheduling for Dependent Details Processing Using MS Excel Solver

Understanding the Impact of Weights Constraints in Portfolio Theory

Least Squares Estimation

Optimization Methods in Finance

Continued Fractions and the Euclidean Algorithm

Robust Investment Management with Uncertainty in Fund Managers Asset Allocation

APPLICATION OF GENETIC ALGORITHMS IN INVENTORY MANAGEMENT

Combining decision analysis and portfolio management to improve project selection in the exploration and production firm

A Multi-Objective Performance Evaluation in Grid Task Scheduling using Evolutionary Algorithms

Constructing a portfolio of investments is one of the most important. financial decisions facing individuals and institutions.

Lecture 3. Linear Programming. 3B1B Optimization Michaelmas 2015 A. Zisserman. Extreme solutions. Simplex method. Interior point method

MATH. ALGEBRA I HONORS 9 th Grade ALGEBRA I HONORS

Optimization Modeling for Mining Engineers

Integer Programming: Algorithms - 3

APPM4720/5720: Fast algorithms for big data. Gunnar Martinsson The University of Colorado at Boulder

Number of hours in the semester L Ex. Lab. Projects SEMESTER I 1. Economy Philosophy Mathematical Analysis Exam

Measuring downside risk of stock returns with time-dependent volatility (Downside-Risikomessung für Aktien mit zeitabhängigen Volatilitäten)

Advanced Lecture on Mathematical Science and Information Science I. Optimization in Finance

Parallel Data Selection Based on Neurodynamic Optimization in the Era of Big Data

Mathematical finance and linear programming (optimization)

Contents. List of Figures. List of Tables. List of Examples. Preface to Volume IV

Neuro-Dynamic Programming An Overview

An Integrated Production Inventory System for. Perishable Items with Fixed and Linear Backorders

A Bi-Objective Portfolio Optimization with Conditional Value-at-Risk. Bartosz Sawik

Portfolio Construction with OPTMODEL

October ENSEEIHT-IRIT, Team APO collaboration with GREM 3 -LAPLACE, Toulouse. Design of Electrical Rotating Machines using

(Quasi-)Newton methods

Analyzing the cost of securing control systems *

ATHENS UNIVERSITY OF ECONOMICS AND BUSINESS

CURRICULUM VITAE of ANDREA TRAMONTANI (Last update: August 31, 2010)

fi360 Asset Allocation Optimizer: Risk-Return Estimates*

The Effective Dimension of Asset-Liability Management Problems in Life Insurance

Linear Programming I

Using Microsoft Excel to build Efficient Frontiers via the Mean Variance Optimization Method

Solving Method for a Class of Bilevel Linear Programming based on Genetic Algorithms

Construction of Risk-Averse Enhanced Index Funds

How To Find Out If You Can Get A Power Of 2 From A Powerbook

Keywords: Single-vendor Inventory Control System, Potential Demand, Machine Failure, Participation in the Chain, Heuristic Algorithm

SCHEDULING RESOURCE CONSTRAINED PROJECT PORTFOLIOS WITH THE PRINCIPLES OF THE THEORY OF CONSTRAINTS 1

Sequence of Mathematics Courses

Introduction: Models, Model Building and Mathematical Optimization The Importance of Modeling Langauges for Solving Real World Problems

STRATEGIC CAPACITY PLANNING USING STOCK CONTROL MODEL

Interior Point Methods and Linear Programming

Solving Mixed Integer Nonlinear Chemical Engineering Problems via Simulated Annealing Approach

LOW-DEGREE PLANAR MONOMIALS IN CHARACTERISTIC TWO

A 0-1 INTEGER PROGRAMMING APPROACH TO A UNIVERSITY TIMETABLING PROBLEM

USING EXCEL SOLVER IN OPTIMIZATION PROBLEMS

A simplified implementation of the least squares solution for pairwise comparisons matrices

Calculating VaR. Capital Market Risk Advisors CMRA

Completely Positive Cone and its Dual

Columbia University in the City of New York New York, N.Y

List of Scientic Publications

An Overview Of Software For Convex Optimization. Brian Borchers Department of Mathematics New Mexico Tech Socorro, NM

Conclusions and Suggestions for Future Research

Stability analysis of portfolio management with conditional value-at-risk

fi360 Asset Allocation Optimizer: Risk-Return Estimates*

How will the programme be delivered (e.g. inter-institutional, summerschools, lectures, placement, rotations, on-line etc.):

International Journal of Software and Web Sciences (IJSWS)

Probability and Statistics

Tikesh Ramtohul WWZ, University of Basel 19 th June 2009 (COMISEF workshop, Birkbeck College, London)

The minimum number of distinct areas of triangles determined by a set of n points in the plane

Proximal mapping via network optimization

LUCA BERTAZZI CURRICULUM VITAE

FOUNDATIONS OF PORTFOLIO THEORY

MATHEMATICAL TOOLS FOR ECONOMICS ECON FALL 2011

Transcription:

6. Bibliografia 6.1. Riferimenti bibliografici [1a] Bienstock D., Computational study of a family of mixed integer quadratic programming problems, Math. Programming 74 (1996), 121 140 [2a] Chang T.J., Meade N., Beasley J.E., Sharaiha Y.M., Heuristics for cardinality constrained portfolio optimisation Computers and Operations Research 27 (2000), 1271 1302 [3a] Chopra V.K., Ziemba W.T., The effect of errors in means, variances and covariances on optimal portfolio choice, Journal of Portfolio Management (1993), 6 11 [4a] Crama Y., Schyns M., Simulated annealing for complex portfolio selection problems, European Journal of Operational Research 150 (2003), 546 571 [5a] Dantzig G. B., Orden A., Wolfe P., Generalized Simplex Method for Minimizing a Linear from Under Linear Inequality Constraints, Pacific Journal Math vol.5, 183 195 [6a] Gill P.E., Murray W., Sauders M.A., Wright M.H., Procedures for Optimization Problems with a Mixture of Bounds and General Linear Constraints, ACM Trans. Math. Software vol.10 (1984), 282 298 [7a] Gill P.E., Murray W., Wright M.H., Numerical Linear Algebra and Optimization, AddisonWesley vol.1 (1991) [8a] Gill P.E., Murray W., Wright M.H., Practical Optimization, Academic Press., London (1981) [9a] Goldfarb D., Idnani A., Dual and Primal-Dual Methods for Solving Strictly Convex Quadratic Programs, Lecture notes in Mathematics vol. 909, ed Springer-Verlag, Berlino, 226 239 55

[10a] Goldfarb D., Idnani A., A numerically stable dual method for solving strictly convex quadratic programs, Mathematical Programming 27 (1983), 1 33 [11a] Han S.P., A Globally Convergent Method for Nonlinear Programming, Journal of Optimization Theory and Applications vol. 22 (1977), 297 [12a] Konno H., Shirakawa H., Yamazaki H., A mean absolute deviation skewness portfolio optimization model, Annali of Operations Research (1993), 205 220 [13a] Konno H., Yamazaki H., Mean Absolute Deviation Portfolio Optimization Model and Its Applications to Tokyo Stock Market, Management Science 37 (1991), 519 531 [14a] Krink T., Mittnik S., Paterlini S., Differential evolution and combinatorial search for constrained index tracking, Annals of Operation Research (2009), 4 [15a] Markowitz H.M., Portfolio selection, Journal of Finance 7 (1952), 77 91 [16a] Markowitz H.M., Portfolio selection: efficient diversification of investments, Cowles Foundation for Research in Economics at Yale University, New York (1959) [17a] Markowitz, H.M., The optimisation of a quadratic function subject to linear constraints, Naval Research Logistics Quarterly 3 (1956), 111 133 [18a] Mills T.C., Stylized facts on the temporal and distributional properties of daily FTSE returns, Applied Financial Economics 7 (1997), 599 604 [19a] Mitra G., Kyriakis T., Lucas C., Pirbhai M., A Review of Portfolio Planning: Models and Systems, Advances in portfolio construction and implementation (2003), Oxford, 1 21 [20a] Powell M.J.D., A Fast Algorithm for Nonlinearly Constrained Optimization Calculations, Lecture notes in Mathematics vol. 630, ed. Springer-Verlag (1978) 56

[21a] Powell M.J.D., The Convergence of Variable Metric Methods For Nonlinearly Constrained Optimization Calculations, Nonlinear Programming 3, Academic Press. (1978) [22a] Rardin R.L., Optimization in Operation Research, Prentice Hall (1998) [23a] Schaerf A., Local search techniques for constrained portfolio selection problems, Computational Economics 20 (2002), 177 190 [24a] Simaan Y., Estimation Risk in Portfolio Selection: The Mean Variance Model Versus the Mean Absolute Deviation Model, Management Science 43 (1997), 1437 1446 [25a] Streichert F., Ulmer H., Zell A., Evolutionary algorithms and the cardinality constrained portfolio selection problem, Selected Papers of the International Conference on Operations Research (Springer 2003) [26a] Young M.R., A Minimax Portfolio Selection Rule with Linear Programming Solution, Management Science 44 (1998), 673 683 57

6.2. Siti web [1b] http://en.wikipedia.org/wiki/portfolio_theory [2b] http://en.wikipedia.org/wiki/portfolio_%28finance%29 [3b] http://people.brunel.ac.uk/~mastjjb/jeb/jeb.html [4b] http://www.tesionline.com/intl/pdfpublicview.jsp?url=../ PDF/1316/1316p.pdf [5b] http://www.microsoft.com/italy/pmi/finanza/speciali/ assetallocationattfinanz/ipsoa/articolo3.mspx [6b] http://it.wikipedia.org/wiki/capital_asset_pricing_model #Frontiera_efficiente_di_Markowitz [7b] http://it.wikipedia.org/wiki/harry_markowitz [8b] http://en.wikipedia.org/wiki/harry_markowitz [9b] http://people.brunel.ac.uk/~mastjjb/jeb/finance/markowitz_qp.pdf [10b] http://www.sosrisparmiatore.it/investimenti/non-mettetetutte-le-uova-nello-stesso-paniere.html [11b] http://www.tesionline.com/intl/pdfpublicview.jsp?url=../ PDF/6371/6371p.pdf [12b] http://it.wikipedia.org/wiki/portafoglio [13b] http://www.microsoft.com/italy/pmi/finanza/speciali/ assetallocationattfinanz/ipsoa/articolo2.mspx [14b] http://it.wikipedia.org/wiki/frontiera_dei_portafogli [15b] http://en.wikipedia.org/wiki/scilab [16b] http://it.wikipedia.org/wiki/scilab [17b] http://www.scilab.org/ [18b] http://it.wikipedia.org/wiki/matlab [19b] http://en.wikipedia.org/wiki/matlab [20b] http://linux3.dti.supsi.ch/~bucher/pdf/matlab.pdf [21b] http://www.iac.rm.cnr.it/~natalini/corso/matlab.pdf 58

[22b] http://www.mathworks.it/ [23b] http://comptlsci.anu.edu.au/scilab/primer.pdf [24b] http://linux3.dti.supsi.ch/~bucher/pdf/scilab.pdf [25b] http://it.wikipedia.org/wiki/open_source_definition [26b] http://www.scilab.org/20090701/index.php?page=presentations [27b] http://webuser.unicas.it/antonelli/antonell/manualescilab_ver_2_0.pdf [28b] http://people.brunel.ac.uk/~mastjjb/jeb/info.html [29b] http://lpsolve.sourceforge.net/5.5 [30b] http://tech.groups.yahoo.com/group/lp_solve [31b] http://aemdesign.com/products.htm [32b] http://it.wikipedia.org/wiki/application_programming_interface 59