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Investment Portfolio Selection and Performance Measurement

Titel: Investment Portfolio Selection and Performance Measurement

Seminararbeit , 2011 , 23 Seiten , Note: 1,3

Autor:in: Patrick Daum (Autor:in)

BWL - Bank, Börse, Versicherung
Leseprobe & Details   Blick ins Buch
Zusammenfassung Leseprobe Details

Die Arbeit legt die Portfoliotheorie an Hand eine praktischen Beispiels dar. Auf der Basis von 10 Stocks aus dem FTSE 100 wird das optimale Portfolio errechnet und dessen Performance eingeordnet. ++++ According Warren Buffett, financial investors should never purchase a security, if they cannot accept that the value might be cut in half (Schömann-Finck, 2010).
One of the most successful global investors has illustrated with this quote the risks involved in the business of financial investments. In order to optimize risk-return tradeoffs, scientific research has developed efficient diversification techniques. This paper examines the process of portfolio diversification based on a sample of 10 randomly selected securities. First the optimal portfolio is identified in order to evaluate its performance against the market trend via industry accepted benchmarking comparison tools in a second step. Finally, potential portfolio gains, achieved via diversification across additional asset classes, are discussed and evaluated.

According to Bodie et al. (2008) the investment decision process can be separated into three major steps (see figure 1): Capital Allocation, Asset Allocation and Security Selection. For the purpose of this paper 100% of the available funds are assumed to be allocated into stocks. The portfolio created (see figure 2) consists of 10 randomly selected securities taken from the FTSE 100 index.

Leseprobe


Table of Contents

1 Introduction

2 Investment Decision

3 Portfolio Selection

3.1 Return and Risk Level Calculations

3.2 Correlation and Covariance Calculations

3.3 The Efficient Frontier

3.4 Optimal Portfolio

4 Performance Measurement

4.1 Risk Adjusted Performance Metrics

5 Investments across Asset Classes

5.1 International Diversification / Emerging Markets

5.2 Commodities

5.3 Corporate Bonds / Government Bonds ("Gilts")

5.4 Real Estate

5.5 Hedge Funds

6 Conclusion - Analysis Limitation

7 References

8 Appendix

Objectives and Topics

The primary objective of this paper is to examine the process of portfolio diversification using a sample of ten randomly selected securities from the FTSE 100 index. By applying mean-variance optimization, the study identifies the optimal portfolio and evaluates its performance through industry-standard risk-adjusted metrics, while also discussing the diversification potential across various asset classes.

  • Portfolio diversification and efficient frontier construction
  • Risk-return tradeoff optimization and mean-variance analysis
  • Risk-adjusted performance measurement (Sharpe, Treynor, Jensen's Alpha)
  • Investment strategies across multiple asset classes including commodities and hedge funds
  • Analysis of constraints such as short selling in portfolio selection

Excerpt from the Book

3 Portfolio Selection

The Markowitz portfolio selection process can be divided into several steps. First the efficient frontier can be calculated in order to detect the optimal portfolio afterwards. Portfolio selection as a mean-variance optimization process is seeking for the optimal combination of average investment return and risk levels, delivering the highest risk premium per unit of risk. Several measures have to be calculated in order to define the efficient frontier in a first step (Bodie et al., 2008).

Summary of Chapters

1 Introduction: This chapter outlines the risks associated with financial investments and sets the stage for the paper's focus on portfolio diversification and performance measurement.

2 Investment Decision: The chapter explains the three major steps of the investment process: Capital Allocation, Asset Allocation, and Security Selection.

3 Portfolio Selection: This section details the methodology for creating an efficient portfolio through mean-variance optimization, including return/risk calculations and the construction of the efficient frontier.

4 Performance Measurement: The chapter focuses on evaluating portfolio performance using specific risk-adjusted metrics like the Sharpe ratio, M2, Treynor ratio, and Jensen's alpha.

5 Investments across Asset Classes: This chapter analyzes how diversification can be enhanced by incorporating international markets, commodities, bonds, real estate, and hedge funds.

6 Conclusion - Analysis Limitation: The final chapter summarizes the findings and highlights the limitations of the analysis, such as reliance on historical data and theoretical market assumptions.

Keywords

Portfolio Selection, Efficient Frontier, Risk-Adjusted Performance, FTSE 100, Capital Allocation, Asset Allocation, Short Selling, Mean-Variance Optimization, Sharpe Ratio, Treynor Ratio, Jensen's Alpha, Diversification, Commodities, Hedge Funds, Market Risk

Frequently Asked Questions

What is the core focus of this research paper?

The paper focuses on the investment decision process, specifically how to build an optimal portfolio through diversification and how to measure its performance using risk-adjusted metrics.

Which key topics are covered in the analysis?

Central topics include the Markowitz portfolio theory, the efficient frontier, risk-return tradeoffs, and the role of various asset classes like stocks, bonds, commodities, and real estate in portfolio management.

What is the primary research goal?

The goal is to determine the optimal portfolio based on a sample of ten stocks from the FTSE 100 and to evaluate its success using standardized benchmarking tools.

Which methodologies are employed in the study?

The study utilizes quantitative methods including mean-variance optimization, continuous compounding for return calculation, and regression analysis to determine risk-adjusted performance.

What content is presented in the main body?

The main body covers the theoretical framework of portfolio selection, the mathematical process of creating the efficient frontier, and an analysis of how different asset classes influence overall portfolio risk and return.

How would you characterize this paper through its keywords?

It is characterized by terms such as Portfolio Selection, Efficient Frontier, Risk-Adjusted Performance, and Asset Allocation, reflecting its technical financial focus.

How does the paper handle the concept of short selling?

The paper compares restricted models where short selling is prohibited against unrestricted models, demonstrating how short selling impacts the efficient frontier and systematic risk.

Why are risk-adjusted performance metrics essential for the author's analysis?

They are essential because they isolate performance derived from stock selection and market timing from the influence of luck, providing a fair comparison against the market benchmark.

What specific role do commodities and hedge funds play in the author's portfolio strategy?

The author identifies them as diversifiers that provide potential for unique returns in economic environments where traditional stock and bond assets may underperform due to their low correlation to traditional markets.

Ende der Leseprobe aus 23 Seiten  - nach oben

Details

Titel
Investment Portfolio Selection and Performance Measurement
Hochschule
South Bank University London  (Business Faculty)
Veranstaltung
Fondmanagement
Note
1,3
Autor
Patrick Daum (Autor:in)
Erscheinungsjahr
2011
Seiten
23
Katalognummer
V193415
ISBN (eBook)
9783656190578
Sprache
Englisch
Schlagworte
Portfolio Selection Efficient Frontier Sharp Ratio Treynor Ratio Return Risk Standardabweichung Short Selling Portfoliotheorie Kapitalmarkt Investition Portfoliomanagement Korrelation Leerverkäufe Effizienzlinie
Produktsicherheit
GRIN Publishing GmbH
Arbeit zitieren
Patrick Daum (Autor:in), 2011, Investment Portfolio Selection and Performance Measurement, München, GRIN Verlag, https://www.grin.com/document/193415
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Leseprobe aus  23  Seiten
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