http://media.terry.uga.edu/documents/finance/decision_making.pdf

Multiple criteria decision making combined with finance: A categorized bibliographic study

Over the past decades the complexity of financial decisions has increased rapidly, thus highlighting the importance of developing and implementing sophisticated and efficient quantitative analysis techniques for supporting and aiding financial decision making. Multi-criteria decision aid (MCDA), an advanced field of operations research, provides financial decision makers (DMs) and analysts a wide range of methodologies, which are well suited to the complexity of financial decision problems. The aim of this paper is to provide an in-depth presentation of the contributions of MCDA in the field of finance, focusing on the methods used and their real-world applications. Copyright © 2003 John Wiley & Sons, Ltd.

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mcda.333

Multi‐criteria decision aid in financial decision making: methodologies and literature review

Multi-objective stochastic programming for portfolio selection

In standard portfolio theory, an investor is typically taken as having one stochastic objective, to maximize the random variable of portfolio return. But in this paper, we focus on investors whose purpose is to build, more broadly, a “suitable portfolio” taking additional concerns into account. Such investors would have additional stochastic and deterministic objectives that might include liquidity, dividends, number of securities in a portfolio, social responsibility, and so forth. To accommodate such investors, we develop a multiple criteria portfolio selection formulation, corroborate its appropriateness by examining the sensitivity of the nondominated frontier to various factors, and observe the conversion of the nondominated frontier to a nondominated surface. Furthermore, multiple criteria enable us to provide an explanation as to why the “market portfolio,” so often found deep below the nondominated frontier, is roughly where one would expect it to be with multiple criteria. After commenting on solvability issues, the paper concludes with the idea that what is the “modern portfolio theory” of today might well be interpreted as a projection onto two-space of a real multiple criteria portfolio selection problem from higher dimensional space.

http://media.terry.uga.edu/documents/finance/standard_portfolio.pdf

Suitable-portfolio investors, nondominated frontier sensitivity, and the effect of multiple objectives on standard portfolio selection

Financial portfolio management through the goal programming model: Current state-of-the-art

The basic philosophy underlying investor portfolio stems from economic utility theory. Many mathematical models have been applied to portfolio selection, however a major drawback of these methods is that a vast majority of input data is needed which requires a large amount of computation.

A Two Staged Goal Programming Model for Portfolio Selection

The aim of this paper is to investigate the application of Goal Programming (GP) to portfolio evaluation and selection. The shares analysed are those in the British FTSE 100 index. A two stage model is proposed. The first stage predicts the sensitivity of the shares to specific factors using GP and regression analysis. The second stage of the model selects a portfolio using a GP model based on the decision maker’s scenarios and preferences. A comparison between the sensitivities predicted by the first-stage of the GP model and that of the regression analysis is made. Keywords: Goal Programming, Portfolio Selection, Regression Analysis

A Comparison Between Goal Programming and Regression Analysis for Portfolio Selection

/pdf/accidental-vs-iatrogenic-trauma-and-their-surgical-outcome-26odfwqd.pdf

Accidental vs. Iatrogenic trauma and their surgical outcome of facial nerve surgery

/pdf/choanal-polyps-variant-sites-of-origin-5c0ov8se.pdf

R. Hasham

Papers

A Two Staged Goal Programming Model for Portfolio Selection

A Comparison Between Goal Programming and Regression Analysis for Portfolio Selection

Accidental vs. Iatrogenic trauma and their surgical outcome of facial nerve surgery

Choanal polyps: Variant sites of origin