Theoretical Aspects Concerning the Use of the Markowitz Model in the Management of Financial Instruments Portfolios

Size: px
Start display at page:

Download "Theoretical Aspects Concerning the Use of the Markowitz Model in the Management of Financial Instruments Portfolios"

Transcription

1 Theoretical Aspects Concerning the Use of the Markowitz Model in the Management of Financial Instruments Portfolios Lecturer Mădălina - Gabriela ANGHEL, PhD Student madalinagabriela_anghel@yahoo.com Artifex University of Bucharest Abstract Early attempts to develop a modern model for the assessment of performance of portfolios of instruments belong to American teacher Harry Markowitz. He has abandoned the classical approach of the analysis of financial investment (based solely on technical and fundamental analysis), pointing attention to performance analysis to the overview of a portfolio of financial instruments (analysis based on the report yield/risk of components in a portfolio). Key words: Markowitz model, profitability, risk, root-mean deviation, correlation coefficient JEL Classification: G11 In the case of modern portfolio theory, the investments are modeled statistically, taking into account the level of the profit expected and the degree of volatility of the financial instrument, the latter being considered as a carrier of risk specific to each instrument 1. The purpose of this theory is that each investor to identify the level of risk accepted and then to identify the portfolio with the highest yield for this level. Under conditions of certainty, Harry Markovitz has shown that the choice of the portofolio can be reduced to analysis of two sizes: "the rate of expected gain of the portfolio and dispersion or root-mean deviation, as a measure of the risk" 2. We can also affirm that the risk of a diversified portfolio dependents not only on the individual variations of titles rentability but also on adverse movements of all the assets. The most important discovery in Markowitz's work - "Portofolio selection. Efficient Diversification of Investments" (work for which he was rewarded with Nobel Prize for economy in 1990), considered to be the basis of modern portfolio theory - is that according to which an investor can reduce ithe volatility of his portfolio (i.e., its risk) and may (at the same time) to grow its profitability. The Markowitz model is based on a number of assumptions which may be summarized as: 1 Anghelache, G.V.; Anghel, M.G. The using of the Markowitz model to identify the optimal portfolio, Romanian Statistical Review Reverential Session. 150 years of official statistics, no 6, Markowitz, H. Portofolio selection. Efficient Diversification of Investiments", Journal of Finance 7 Revista Română de Statistică Supliment Trim IV/

2 Investors consider each alternative of investment as being represented by the distribution of the hoped profit likelihood in a period of time; Investors maximize the utility anticipated within a period of time, and usefulness curve maximizes the marginal utility of their welfare. Investors estimate the risk on the basis of the change in profits expected; Investors make decisions only on the basis of the risk and hoped profit, so the usefulness curve is expressed as a function of the profit expected and a variance of the profit; For a given level of risk, investors prefer a huge profit; for a given level of expected profit, investors prefer to risk less. The practical use of Markowitz model makes it possible to determine the level of the individual dispersion of financial instruments profitability, both for a portfolio of simplified instruments(made of two financial securities ), and for a portfolio consisting of "n" financial instruments. Even if they are two or more securities in different markets, the construction of a portfolio involves browsing the following steps: Identification of the risk - revenue profile for each alternative of the combination of the securities in the portfolio; Determination of the combination of risky securities with the minimum variance depending on the degree of aversion of each investor; Determination of complete portfolio by combining the portfolio with its minimum variance with securities without risk that investor intends to introduce in his portfolio. Profitability and risk of a portfolio made up of two financial securities The simplest model of a portfolio that can be analyzed using the model developed by Markowitz is the one made up of two financial instruments. In this respect, we consider that an equity investor can choose to invest his savings in one of the two available financial securities - T 1 and T 2 or equally can build up a P portfolio distributing in this sense the amount he wishes to invest between the two previously mentioned securities 3. Mathematically, the investor's anticipation about the behavior of the two securities in the future period can be summarized as follows 4 : where: E i the mathematical hope of "i"security rate profitability; σ i the standard deviation of "i"security rate profitability; ρ ij the coefficient of correlation between 'i" and"j" securities rates profitability; Cov ij covariance between "i" and "j" securities rates profitability. A capital investor has the opportunity to form a portfolio combining the two securities in proportion of X 1 and X 2. In this case, the available total amount is invested in T 1 (the amount of the purchase of the first type of financial instrument) and T 2 (the amount of the purchase of the second type of financial instrument). In this case we can establish the following calculation relationship: X 1 + X 2 = 1 cu X 1, X 2 0 sau 0 X 1 1 şi 0 X Anghelache G.V.; Anghelache, C. (2009) Risk and profitability basis of the financial analysis, Metalurgia International, vol. XIV, special issue no.12; 4 Roman, M. Financial and banking Statistics, ASE Publishing House, Bucharest, Revista Română de Statistică Supliment Trim IV/2012

3 Under the conditions mentioned above, you can determine the mathematical hope of portfolio rate yield P (E p ), using for this purpose the relationship: E p = X 1 E 1 + X 2 E 2 As it can be seen from the above relationship, hope return is the weighted average of the yields of securities, the average being the proportions. The second element which should be studied in order to characterize the efficiency of the portfolio considered is represented by the scattering of "P" (V p ) portofolio rate yield, which is actually a measure of the risk related to the investment portfolio. For this purpose we will use the following mathematical relationship: From the formulas above, we can deduce that the dispersion of the portfolio is significantly influenced by the following elements: the dispersion of each title included in the portfolio; the proportions in which are combined the two financial securities; the covariance between the two titles considered. To complete the analysis carried out on the basis of the above-mentioned relations, in the literature, it is advisable to study the existing correlation between the two securities included in the portfolio 5. Thus, we can see that, depending on the value of the correlation coefficient between the two securities - T 1 and T 2 can be identified three distinct cases, which can be summarized as follows: The value of the correlation coefficient is 1 (ρ 12 =1) In this case, it can be affirmed that the financial instruments T 1 and T 2 are perfectly and positively correlated, what signifies the anticipation for the return of these titles of some movements perfectly consistent over time, but with different amplitudes. In this situation, it is considered that the risk for the portfolio is in the highest degree, because the factors that influence the evolution of the two titles are similar and with an action of equal intensities. Also, it is noted that, in this case, changing the share of securities in the structure of portfolio does not bring significant improvements to the level of risk associated with it 6. For this value of correlation, relations on the basis of which an assessment of two financial securities portofolio can be made can be transcribed as: write: with =1 which means: In this case, it is noted that the standard deviation of the portfolio is equal to the average of the standard deviations of financial securities that compose it. 5 Anghel, M.G. (2009) Models of Estimation for the Profitability and the Risk of a Financial Security, The Romanian Statistics Review Supplement March; 6 Dragotă, V. Securities portfolio Management Second Edition', Economica Publishing House, Bucharest, 2009 Revista Română de Statistică Supliment Trim IV/

4 Bringing together the two equations and reporting to yield and to risk of the "P" portfolio, and we obtain the equation: as space of combining the securities in plane E-σ. It is known that: X 1 + X 2 = 1, respectively: X 2 = 1 X 1 In these conditions, the equation by which one can determine the mathematical hope of P(Ep) portfolio yield rate becomes: In this case, the yield of T1 security within the portfolio P can be determined using the formula: It also finds that, where mathematical hopes of return rates of the two securities are not equal (E 1 E 2 ) then the value of the standard deviation in the yield of portfolio can be calculated as follows 7 : The value of the correlation coefficient is -1 (ρ 12 = -1) Where the value of the correlation coefficient ρ 12 = -1, then T 1 and T 2 titles are perfectly and negatively correlated. In such a situation these anticipations relating relating to the yield of titles present perfect opposite fluctuations. It should be noted that, where the two titles are related strictly negative can be reached in a certain combination, the total elimination of the risk for the portfolio of securities. Also, in this situation, the relations of calculation of the standard deviation may be transformed as follows: write: which means: The standard deviation is always positive, so it makes the discussion for the sign of the expression that varies depending on the X 1 and X 2. For: This relationship, along with relationship E p = X 1 E 1 + X 2 E 2, allows the determination of the equation of connection between E p and σ p. We achieve: 7 Badea, L. Study on the applicability of the Markowitz model on the stock market in Romania, Theoretical and Applied Economics Review, no 6, Revista Română de Statistică Supliment Trim IV/2012

5 It is a linear relationship represented by a straight line. Part of this right, corresponding to: For: It s: and Doing similarly where the degree of correlation is equal to one, we get the linear equation l linking Ep and σ p. A part of this straight line corresponding to is the rule obtained combining portfolios T1 and T2. Finally, for we have σ p = 0. This result must be mentioned clearly, because it shows that from two risky securities it is possible choosing the rigorous proportions (0 X 1 and X 2 1), to build an unrisky portfolio. This result is possible if the securities T1 and T2 are perfectly and negatively correlated. The different value of coefficient correlation ± 1 (ρ 12 ± 1) If -1 < ρ 12 < +1 (including ρ 12 = 0) anticipated fluctuations for T 1 and T 2 are not absolutely dependent (positive and negative). It is the general case, there is a degree of correlation between the securities yield rates because they all follow more or less the general fluctuations of the economy. A low correlation coefficient may lead to a significant improvement of the risk value related to the investment portfolio. Also, a null value of this coefficient shall be deemed to be a potential source of decrease with 50% of risk of the present portofolio 8. In the general case (the correlation coefficient other than 1 and-1) for a portfolio of two securities shall be obtained the following expression of the risk: which means: As it can be seen, in this case, unlike previous situations, the expression of risk cannot be reduced to the form of a perfect square, making it more difficult the practical 8 Dragotă, V. Securities portfolio Management Second Edition', Economica Publishing House, Bucharest, 2009 Revista Română de Statistică Supliment Trim IV/

6 determnation of its the value. From this equation and from that of Ep (E p = X 1 E 1 + X 2 E 2 ), we establish the relationship linking E p and σ p. From the equation of E p we achieve X 1 = (E p -E 2 /(E 1 -E 2 ), value that we introduce into the equation of V p. Developing we achieve: The equation obtained in E-V plan is that of a parabole. In the E-σ plane the equation represents a hyperbola from which we keep a section, namely that corresponding to σ p positive values. An interesting aspect in the analysis of any portfolio of financial instruments is the assessment of the contribution of each security to the risk and the general efficiency of the portfolio from which it is part. From the formula that defines the security risk in a portfolio, can be formulated the following conclusions: the choice of a title for its inclusion in a portfolio will not be made depending on its individual characteristics (σ 1 ), but according to behaviour within the portfolio (cov 1p ). the risk of a security is not unique, it depends on the portfolio iin which it s included. References [1]. Anghelache, G.V.; Anghel, M.G. (2009) The using of the Markowitz model to identify the optimal portfolio, Romanian Statistical Review Reverential Session. 150 years of official statistics, no 6; [2]. Anghelache G.V.; Anghelache, C. (2009) Risk and profitability basis of the financial analysis, Metalurgia International, vol. XIV, special issue no.12; [3]. Anghel, M.G. (2009) Models of Estimation for the Profitability and the Risk of a Financial Security, The Romanian Statistics Review Supplement March; [4]. Badea, Leonardo (2006) Study on the applicability of the Markowitz model on the stock market in Romania, Theoretical and Applied Economics Review, no 6; [5]. Dragotă, V. (2009) Securities portfolio Management Second Edition', Economica Publishing House, Bucharest [6]. Markowitz, H. Portofolio selection. Efficient Diversification of Investiments", Journal of Finance 7; [7]. Roman, M. (2003) Financial and banking Statistics, ASE Publishing House, Bucharest. 264 Revista Română de Statistică Supliment Trim IV/2012

Model of Portfolios Analysis

Model of Portfolios Analysis Model of Portfolios Analysis Lecturer Mădălina - Gabriela Anghel PhD The Bucharest University of Economic Studies/ ARTIFEX University of Bucharest madalinagabriela_anghel@yahoo.com Abstract The valuation

More information

Econometric Models for the Analysis of Financial Portfolios

Econometric Models for the Analysis of Financial Portfolios Econometric Models for the Analysis of Financial Portfolios Professor Gabriela Victoria ANGHELACHE, Ph.D. Academy of Economic Studies Bucharest Professor Constantin ANGHELACHE, Ph.D. Artifex University

More information

BANK RISK MANAGEMENT

BANK RISK MANAGEMENT BANK RISK MANAGEMENT Assoc. prof. Mădălina-Gabriela ANGHEL PhD (madalinagabriela_anghel@yahoo.com) Artifex University of Bucharest Lecturer Marian SFETCU PhD (sfetcum@yahoo.com) Artifex University of Bucharest

More information

COMPLEX ANALYSIS OF GROSS DOMESTIC PRODUCT AT THE END OF 2017

COMPLEX ANALYSIS OF GROSS DOMESTIC PRODUCT AT THE END OF 2017 COMPLEX ANALYSIS OF GROSS DOMESTIC PRODUCT AT THE END OF 2017 Prof. Constantin ANGHELACHE PhD (actincon@yahoo.com) Bucharest University of Economic Studies / Artifex University of Bucharest Assoc. prof.

More information

THE CORRELATION BETWEEN GDP/ CAPITA AND EMPLOYMENT RATE OF PEOPLE- ECONOMETRIC MODEL ANALYSIS

THE CORRELATION BETWEEN GDP/ CAPITA AND EMPLOYMENT RATE OF PEOPLE- ECONOMETRIC MODEL ANALYSIS THE CORRELATION BETWEEN GDP/ CAPITA AND EMPLOYMENT RATE OF PEOPLE- ECONOMETRIC MODEL ANALYSIS PhD Candidate Ligia PRODAN Academy of Economic Studies, Bucharest Abstract It is presented the evolution of

More information

Lecture 8 & 9 Risk & Rates of Return

Lecture 8 & 9 Risk & Rates of Return Lecture 8 & 9 Risk & Rates of Return We start from the basic premise that investors LIKE return and DISLIKE risk. Therefore, people will invest in risky assets only if they expect to receive higher returns.

More information

Correlation between BET Index Evolution and the Evolution of Transactions Number Analysis Model

Correlation between BET Index Evolution and the Evolution of Transactions Number Analysis Model Vol. 5, No.4, October 2015, pp. 116 122 E-ISSN: 2225-8329, P-ISSN: 2308-0337 2015 HRMARS www.hrmars.com Correlation between BET Index Evolution and the Evolution of Transactions Number Analysis Model Madalina

More information

Essentials aspects on macroeconomic variables and their correlations

Essentials aspects on macroeconomic variables and their correlations Theoretical and Applied Economics FFet al Volume XXIII (2016), No. 1(606), Spring, pp. 151-162 Essentials aspects on macroeconomic variables and their correlations Constantin ANGHELACHE Bucharest University

More information

LIQUIDITY RISK ANALYSIS AT FINANCIAL- BANKING INSTITUTIONS

LIQUIDITY RISK ANALYSIS AT FINANCIAL- BANKING INSTITUTIONS LIQUIDITY RISK ANALYSIS AT FINANCIAL- BANKING INSTITUTIONS Prof. Constantin ANGHELACHE PhD (actincon@yahoo.com) Bucharest University of Economic Studies / Artifex University of Bucharest György BODÓ Ph.D

More information

Econometric Model Applied in the Analysis of the Correlation between Some of the Macroeconomic Variables

Econometric Model Applied in the Analysis of the Correlation between Some of the Macroeconomic Variables Econometric Model Applied in the Analysis of the Correlation between Some of the Macroeconomic Variables Lecturer Mădălina Gabriela ANGHEL, Ph.D Artifex University of Bucharest Abstract This article aims

More information

Financial Analysis The Price of Risk. Skema Business School. Portfolio Management 1.

Financial Analysis The Price of Risk. Skema Business School. Portfolio Management 1. Financial Analysis The Price of Risk bertrand.groslambert@skema.edu Skema Business School Portfolio Management Course Outline Introduction (lecture ) Presentation of portfolio management Chap.2,3,5 Introduction

More information

The Evolution of Direct Foreign Investments in Romania, in the Context of Globalization

The Evolution of Direct Foreign Investments in Romania, in the Context of Globalization The Evolution of Direct Foreign Investments in Romania, in the Context of Globalization Zoica DINCĂ (NICOLA) Ph.D Student Artifex University of Bucharest/ Academy of Economic Studies Bucharest Andreea

More information

P2.T8. Risk Management & Investment Management. Jorion, Value at Risk: The New Benchmark for Managing Financial Risk, 3rd Edition.

P2.T8. Risk Management & Investment Management. Jorion, Value at Risk: The New Benchmark for Managing Financial Risk, 3rd Edition. P2.T8. Risk Management & Investment Management Jorion, Value at Risk: The New Benchmark for Managing Financial Risk, 3rd Edition. Bionic Turtle FRM Study Notes By David Harper, CFA FRM CIPM and Deepa Raju

More information

Module 6 Portfolio risk and return

Module 6 Portfolio risk and return Module 6 Portfolio risk and return Prepared by Pamela Peterson Drake, Ph.D., CFA 1. Overview Security analysts and portfolio managers are concerned about an investment s return, its risk, and whether it

More information

ANALYSIS OF THE GROSS DOMESTIC PRODUCT EVOLUTION FOR 2015

ANALYSIS OF THE GROSS DOMESTIC PRODUCT EVOLUTION FOR 2015 ANALYSIS OF THE GROSS DOMESTIC PRODUCT EVOLUTION FOR 2015 Prof. Constantin ANGHELACHE PhD. Bucharest University of Economic Studies Artifex University of Bucharest Assoc. prof. Mădălina Gabriela ANGHEL

More information

ANALYSIS MODEL OF THE CAPITAL MARKET IN ROMANIA

ANALYSIS MODEL OF THE CAPITAL MARKET IN ROMANIA Dimitrie Cantemir Christian University Knowledge Horizons - Economics Volume 7, No. 3, pp. 65 73 P-ISSN: 2069-0932, E-ISSN: 2066-1061 2015 Pro Universitaria www.orizonturi.ucdc.ro ANALYSIS MODEL OF THE

More information

STUDY ON NET INVESTMENT IN THE NATIONAL ECONOMY IN 2017

STUDY ON NET INVESTMENT IN THE NATIONAL ECONOMY IN 2017 STUDY ON NET INVESTMENT IN THE NATIONAL ECONOMY IN 2017 Assoc. prof. Mădălina-Gabriela ANGHEL PhD (madalinagabriela_anghel@yahoo.com) Artifex University of Bucharest Prof. Constantin ANGHELACHE PhD (actincon@yahoo.com)

More information

Evolution of Gross Domestic Product - Analysis Models

Evolution of Gross Domestic Product - Analysis Models Evolution of Gross Domestic Product - Analysis Models Professor Constantin ANGHELACHE, Ph.D. Artifex University of Bucharest/ Academy of Economic Studies Bucharest Lecturer Cătălin DEATCU, Ph.D. Artifex

More information

Chapter. Diversification and Risky Asset Allocation. McGraw-Hill/Irwin. Copyright 2008 by The McGraw-Hill Companies, Inc. All rights reserved.

Chapter. Diversification and Risky Asset Allocation. McGraw-Hill/Irwin. Copyright 2008 by The McGraw-Hill Companies, Inc. All rights reserved. Chapter Diversification and Risky Asset Allocation McGraw-Hill/Irwin Copyright 008 by The McGraw-Hill Companies, Inc. All rights reserved. Diversification Intuitively, we all know that if you hold many

More information

PortfolioConstructionACaseStudyonHighMarketCapitalizationStocksinBangladesh

PortfolioConstructionACaseStudyonHighMarketCapitalizationStocksinBangladesh Global Journal of Management and Business Research: A Administration and Management Volume 18 Issue 1 Version 1.0 Year 2018 Type: Double Blind Peer Reviewed International Research Journal Publisher: Global

More information

MS-E2114 Investment Science Lecture 5: Mean-variance portfolio theory

MS-E2114 Investment Science Lecture 5: Mean-variance portfolio theory MS-E2114 Investment Science Lecture 5: Mean-variance portfolio theory A. Salo, T. Seeve Systems Analysis Laboratory Department of System Analysis and Mathematics Aalto University, School of Science Overview

More information

Statistic Indicators on the Relationship between Economy and Foreign Trade of the Republic of Moldova (including with Romania) during

Statistic Indicators on the Relationship between Economy and Foreign Trade of the Republic of Moldova (including with Romania) during Statistic Indicators on the Relationship between Economy and Foreign Trade of the Republic of Moldova (including with Romania) during 2003-2014 Prof. Ioan PARTACHI PhD. Senior Lecturer Natalia ENACHI (natali_enachi@yahoo.com)

More information

About Lowe Index and Mid-year Indices

About Lowe Index and Mid-year Indices About Lowe Index and Mid-year Indices Professor Constantin ANGHELACHE PhD Artifex University of Bucharest Professor Vergil VOINEAGU PhD Mihai GHEORGHE, PhD Student Academy of Economic Studies, Bucharest

More information

A Comparative Study on Markowitz Mean-Variance Model and Sharpe s Single Index Model in the Context of Portfolio Investment

A Comparative Study on Markowitz Mean-Variance Model and Sharpe s Single Index Model in the Context of Portfolio Investment A Comparative Study on Markowitz Mean-Variance Model and Sharpe s Single Index Model in the Context of Portfolio Investment Josmy Varghese 1 and Anoop Joseph Department of Commerce, Pavanatma College,

More information

Diversification. Finance 100

Diversification. Finance 100 Diversification Finance 100 Prof. Michael R. Roberts 1 Topic Overview How to measure risk and return» Sample risk measures for some classes of securities Brief Statistics Review» Realized and Expected

More information

University 18 Lessons Financial Management. Unit 12: Return, Risk and Shareholder Value

University 18 Lessons Financial Management. Unit 12: Return, Risk and Shareholder Value University 18 Lessons Financial Management Unit 12: Return, Risk and Shareholder Value Risk and Return Risk and Return Security analysis is built around the idea that investors are concerned with two principal

More information

Portfolio Theory and Diversification

Portfolio Theory and Diversification Topic 3 Portfolio Theoryand Diversification LEARNING OUTCOMES By the end of this topic, you should be able to: 1. Explain the concept of portfolio formation;. Discuss the idea of diversification; 3. Calculate

More information

Risk and Return. Nicole Höhling, Introduction. Definitions. Types of risk and beta

Risk and Return. Nicole Höhling, Introduction. Definitions. Types of risk and beta Risk and Return Nicole Höhling, 2009-09-07 Introduction Every decision regarding investments is based on the relationship between risk and return. Generally the return on an investment should be as high

More information

FINC 430 TA Session 7 Risk and Return Solutions. Marco Sammon

FINC 430 TA Session 7 Risk and Return Solutions. Marco Sammon FINC 430 TA Session 7 Risk and Return Solutions Marco Sammon Formulas for return and risk The expected return of a portfolio of two risky assets, i and j, is Expected return of asset - the percentage of

More information

Markowitz portfolio theory. May 4, 2017

Markowitz portfolio theory. May 4, 2017 Markowitz portfolio theory Elona Wallengren Robin S. Sigurdson May 4, 2017 1 Introduction A portfolio is the set of assets that an investor chooses to invest in. Choosing the optimal portfolio is a complex

More information

arxiv: v1 [q-fin.pm] 12 Jul 2012

arxiv: v1 [q-fin.pm] 12 Jul 2012 The Long Neglected Critically Leveraged Portfolio M. Hossein Partovi epartment of Physics and Astronomy, California State University, Sacramento, California 95819-6041 (ated: October 8, 2018) We show that

More information

Risk and Return and Portfolio Theory

Risk and Return and Portfolio Theory Risk and Return and Portfolio Theory Intro: Last week we learned how to calculate cash flows, now we want to learn how to discount these cash flows. This will take the next several weeks. We know discount

More information

Analysis INTRODUCTION OBJECTIVES

Analysis INTRODUCTION OBJECTIVES Chapter5 Risk Analysis OBJECTIVES At the end of this chapter, you should be able to: 1. determine the meaning of risk and return; 2. explain the term and usage of statistics in determining risk and return;

More information

Mean-Variance Portfolio Theory

Mean-Variance Portfolio Theory Mean-Variance Portfolio Theory Lakehead University Winter 2005 Outline Measures of Location Risk of a Single Asset Risk and Return of Financial Securities Risk of a Portfolio The Capital Asset Pricing

More information

The mean-variance portfolio choice framework and its generalizations

The mean-variance portfolio choice framework and its generalizations The mean-variance portfolio choice framework and its generalizations Prof. Massimo Guidolin 20135 Theory of Finance, Part I (Sept. October) Fall 2014 Outline and objectives The backward, three-step solution

More information

MAIN ELEMENTS OF ANALYSIS OF GROSS DOMESTIC PRODUCT DEVELOPMENT IN ROMANIA

MAIN ELEMENTS OF ANALYSIS OF GROSS DOMESTIC PRODUCT DEVELOPMENT IN ROMANIA MAIN ELEMENTS OF ANALYSIS OF GROSS DOMESTIC PRODUCT DEVELOPMENT IN ROMANIA Prof. univ. dr. Constantin ANGHELACHE (actincon@yahoo.com) Bucharest University of Economic Studies, Romania / Artifex University

More information

Archana Khetan 05/09/ MAFA (CA Final) - Portfolio Management

Archana Khetan 05/09/ MAFA (CA Final) - Portfolio Management Archana Khetan 05/09/2010 +91-9930812722 Archana090@hotmail.com MAFA (CA Final) - Portfolio Management 1 Portfolio Management Portfolio is a collection of assets. By investing in a portfolio or combination

More information

COMPARATIVE ANALYSIS OF THE DEVELOPMENT OF THE GROSS DOMESTIC PRODUCT IN THE MEMBER STATES OF THE EUROPEAN UNION

COMPARATIVE ANALYSIS OF THE DEVELOPMENT OF THE GROSS DOMESTIC PRODUCT IN THE MEMBER STATES OF THE EUROPEAN UNION COMPARATIVE ANALYSIS OF THE DEVELOPMENT OF THE GROSS DOMESTIC PRODUCT IN THE MEMBER STATES OF THE EUROPEAN UNION Prof. Constantin ANGHELACHE PhD (actincon@yahoo.com) Bucharest University of Economic Studies

More information

STUDY ON THE HISTORICAL EVOLUTION OF GROSS DOMESTIC PRODUCT IN ROMANIA

STUDY ON THE HISTORICAL EVOLUTION OF GROSS DOMESTIC PRODUCT IN ROMANIA STUDY ON THE HISTORICAL EVOLUTION OF GROSS DOMESTIC PRODUCT IN ROMANIA Prof. Constantin ANGHELACHE PhD (actincon@yahoo.com) Bucharest University of Economic Studies / Artifex University of Bucharest Assoc.

More information

Available online at ScienceDirect. Procedia Economics and Finance 10 ( 2014 )

Available online at  ScienceDirect. Procedia Economics and Finance 10 ( 2014 ) Available online at www.sciencedirect.com ScienceDirect Procedia Economics and Finance 1 ( 214 ) 324 329 7 th International Conference on Applied Statistics Using the Regression Model in the Analysis Financial

More information

THE GROSS DOMESTIC PRODUCT EVOLUTION

THE GROSS DOMESTIC PRODUCT EVOLUTION THE GROSS DOMESTIC PRODUCT EVOLUTION Prof. Constantin ANGHELACHE PhD The Bucharest University of Economic Studies Artifex University of Bucharest Lecturer Mădălina Gabriela ANGHEL PhD Artifex University

More information

Advanced Financial Economics Homework 2 Due on April 14th before class

Advanced Financial Economics Homework 2 Due on April 14th before class Advanced Financial Economics Homework 2 Due on April 14th before class March 30, 2015 1. (20 points) An agent has Y 0 = 1 to invest. On the market two financial assets exist. The first one is riskless.

More information

QUARTERLY ANALYSIS OF GROSS DOMESTIC PRODUCT EVOLUTION - SIGNIFICANCE OF GROWTH RATE

QUARTERLY ANALYSIS OF GROSS DOMESTIC PRODUCT EVOLUTION - SIGNIFICANCE OF GROWTH RATE QUARTERLY ANALYSIS OF GROSS DOMESTIC PRODUCT EVOLUTION - SIGNIFICANCE OF GROWTH RATE Prof. Constantin ANGHELACHE PhD (actincon@yahoo.com) Bucharest University of Economic Studies / Artifex University of

More information

Modern Portfolio Theory -Markowitz Model

Modern Portfolio Theory -Markowitz Model Modern Portfolio Theory -Markowitz Model Rahul Kumar Project Trainee, IDRBT 3 rd year student Integrated M.Sc. Mathematics & Computing IIT Kharagpur Email: rahulkumar641@gmail.com Project guide: Dr Mahil

More information

FIN Second (Practice) Midterm Exam 04/11/06

FIN Second (Practice) Midterm Exam 04/11/06 FIN 3710 Investment Analysis Zicklin School of Business Baruch College Spring 2006 FIN 3710 Second (Practice) Midterm Exam 04/11/06 NAME: (Please print your name here) PLEDGE: (Sign your name here) SESSION:

More information

Adjusting discount rate for Uncertainty

Adjusting discount rate for Uncertainty Page 1 Adjusting discount rate for Uncertainty The Issue A simple approach: WACC Weighted average Cost of Capital A better approach: CAPM Capital Asset Pricing Model Massachusetts Institute of Technology

More information

ECON FINANCIAL ECONOMICS

ECON FINANCIAL ECONOMICS ECON 337901 FINANCIAL ECONOMICS Peter Ireland Boston College Fall 2017 These lecture notes by Peter Ireland are licensed under a Creative Commons Attribution-NonCommerical-ShareAlike 4.0 International

More information

ECON FINANCIAL ECONOMICS

ECON FINANCIAL ECONOMICS ECON 337901 FINANCIAL ECONOMICS Peter Ireland Boston College Spring 2018 These lecture notes by Peter Ireland are licensed under a Creative Commons Attribution-NonCommerical-ShareAlike 4.0 International

More information

Modeling Portfolios that Contain Risky Assets Risk and Reward II: Markowitz Portfolios

Modeling Portfolios that Contain Risky Assets Risk and Reward II: Markowitz Portfolios Modeling Portfolios that Contain Risky Assets Risk and Reward II: Markowitz Portfolios C. David Levermore University of Maryland, College Park Math 420: Mathematical Modeling February 4, 2013 version c

More information

DEVELOPMENT AND CORRELATION OF THE GROSS WAGE WITH INFLATION

DEVELOPMENT AND CORRELATION OF THE GROSS WAGE WITH INFLATION DEVELOPMENT AND CORRELATION OF THE GROSS WAGE WITH INFLATION Assoc. prof. Mădălina-Gabriela ANGHEL PhD (madalinagabriela_anghel@yahoo.com) Artifex University of Bucharest Maria MIREA PhD Student (mirea_maria@yahoo.com)

More information

Leverage Aversion, Efficient Frontiers, and the Efficient Region*

Leverage Aversion, Efficient Frontiers, and the Efficient Region* Posted SSRN 08/31/01 Last Revised 10/15/01 Leverage Aversion, Efficient Frontiers, and the Efficient Region* Bruce I. Jacobs and Kenneth N. Levy * Previously entitled Leverage Aversion and Portfolio Optimality:

More information

Macroeconomic models used in structural analysis of GDP

Macroeconomic models used in structural analysis of GDP e Theoretical and Applied Economics Volume XXIV (2017), No. 1(610), Spring, pp. 197-206 Macroeconomic models used in structural analysis of GDP Constantin ANGHELACHE Bucharest Academy of Economic Studies,

More information

Handout 4: Gains from Diversification for 2 Risky Assets Corporate Finance, Sections 001 and 002

Handout 4: Gains from Diversification for 2 Risky Assets Corporate Finance, Sections 001 and 002 Handout 4: Gains from Diversification for 2 Risky Assets Corporate Finance, Sections 001 and 002 Suppose you are deciding how to allocate your wealth between two risky assets. Recall that the expected

More information

Correlation vs. Trends in Portfolio Management: A Common Misinterpretation

Correlation vs. Trends in Portfolio Management: A Common Misinterpretation Correlation vs. rends in Portfolio Management: A Common Misinterpretation Francois-Serge Lhabitant * Abstract: wo common beliefs in finance are that (i) a high positive correlation signals assets moving

More information

ECO 317 Economics of Uncertainty Fall Term 2009 Tuesday October 6 Portfolio Allocation Mean-Variance Approach

ECO 317 Economics of Uncertainty Fall Term 2009 Tuesday October 6 Portfolio Allocation Mean-Variance Approach ECO 317 Economics of Uncertainty Fall Term 2009 Tuesday October 6 ortfolio Allocation Mean-Variance Approach Validity of the Mean-Variance Approach Constant absolute risk aversion (CARA): u(w ) = exp(

More information

A STATISTICAL ANALYSIS OF GDP AND FINAL CONSUMPTION USING SIMPLE LINEAR REGRESSION. THE CASE OF ROMANIA

A STATISTICAL ANALYSIS OF GDP AND FINAL CONSUMPTION USING SIMPLE LINEAR REGRESSION. THE CASE OF ROMANIA A STATISTICAL ANALYSIS OF GDP AND FINAL CONSUMPTION USING SIMPLE LINEAR REGRESSION. THE CASE OF ROMANIA 990 200 Bălăcescu Aniela Lecturer PhD, Constantin Brancusi University of Targu Jiu, Faculty of Economics

More information

Financial Mathematics III Theory summary

Financial Mathematics III Theory summary Financial Mathematics III Theory summary Table of Contents Lecture 1... 7 1. State the objective of modern portfolio theory... 7 2. Define the return of an asset... 7 3. How is expected return defined?...

More information

Markowitz portfolio theory

Markowitz portfolio theory Markowitz portfolio theory Farhad Amu, Marcus Millegård February 9, 2009 1 Introduction Optimizing a portfolio is a major area in nance. The objective is to maximize the yield and simultaneously minimize

More information

Session 8: The Markowitz problem p. 1

Session 8: The Markowitz problem p. 1 Session 8: The Markowitz problem Susan Thomas http://www.igidr.ac.in/ susant susant@mayin.org IGIDR Bombay Session 8: The Markowitz problem p. 1 Portfolio optimisation Session 8: The Markowitz problem

More information

SDMR Finance (2) Olivier Brandouy. University of Paris 1, Panthéon-Sorbonne, IAE (Sorbonne Graduate Business School)

SDMR Finance (2) Olivier Brandouy. University of Paris 1, Panthéon-Sorbonne, IAE (Sorbonne Graduate Business School) SDMR Finance (2) Olivier Brandouy University of Paris 1, Panthéon-Sorbonne, IAE (Sorbonne Graduate Business School) Outline 1 Formal Approach to QAM : concepts and notations 2 3 Portfolio risk and return

More information

PROFITABILITY AND RISK ANALYSIS OF PHARMACEUTICAL COMPANIES LISTED ON THE BUCHAREST STOCK EXCHANGE

PROFITABILITY AND RISK ANALYSIS OF PHARMACEUTICAL COMPANIES LISTED ON THE BUCHAREST STOCK EXCHANGE PROFITABILITY AND RISK ANALYSIS OF PHARMACEUTICAL COMPANIES LISTED ON THE BUCHAREST STOCK EXCHANGE Assoc. Prof. Dorel Berceanu Ph. D Prof. Nicolae Sichigea Ph. D Nicolae Daniel Militaru Ph. D University

More information

Lecture 2: Fundamentals of meanvariance

Lecture 2: Fundamentals of meanvariance Lecture 2: Fundamentals of meanvariance analysis Prof. Massimo Guidolin Portfolio Management Second Term 2018 Outline and objectives Mean-variance and efficient frontiers: logical meaning o Guidolin-Pedio,

More information

Risk and Return - Capital Market Theory. Chapter 8

Risk and Return - Capital Market Theory. Chapter 8 1 Risk and Return - Capital Market Theory Chapter 8 Learning Objectives 2 1. Calculate the expected rate of return and volatility for a portfolio of investments and describe how diversification affects

More information

Empirical study on CAPM model on China stock market

Empirical study on CAPM model on China stock market Empirical study on CAPM model on China stock market MASTER THESIS WITHIN: Business administration in finance NUMBER OF CREDITS: 15 ECTS TUTOR: Andreas Stephan PROGRAMME OF STUDY: international financial

More information

Analytical Problem Set

Analytical Problem Set Analytical Problem Set Unless otherwise stated, any coupon payments, cash dividends, or other cash payouts delivered by a security in the following problems should be assume to be distributed at the end

More information

Financial Economics: Risk Aversion and Investment Decisions, Modern Portfolio Theory

Financial Economics: Risk Aversion and Investment Decisions, Modern Portfolio Theory Financial Economics: Risk Aversion and Investment Decisions, Modern Portfolio Theory Shuoxun Hellen Zhang WISE & SOE XIAMEN UNIVERSITY April, 2015 1 / 95 Outline Modern portfolio theory The backward induction,

More information

Contents. An Overview of Statistical Applications CHAPTER 1. Contents (ix) Preface... (vii)

Contents. An Overview of Statistical Applications CHAPTER 1. Contents (ix) Preface... (vii) Contents (ix) Contents Preface... (vii) CHAPTER 1 An Overview of Statistical Applications 1.1 Introduction... 1 1. Probability Functions and Statistics... 1..1 Discrete versus Continuous Functions... 1..

More information

TRENDS IN INCOME DISTRIBUTION

TRENDS IN INCOME DISTRIBUTION TRENDS IN INCOME DISTRIBUTION Authors * : Abstract: In modern society the income distribution is one of the major problems. Usually, it is considered that a severe polarisation in matter of income per

More information

Portfolio models - Podgorica

Portfolio models - Podgorica Outline Holding period return Suppose you invest in a stock-index fund over the next period (e.g. 1 year). The current price is 100$ per share. At the end of the period you receive a dividend of 5$; the

More information

Chapter 8. Markowitz Portfolio Theory. 8.1 Expected Returns and Covariance

Chapter 8. Markowitz Portfolio Theory. 8.1 Expected Returns and Covariance Chapter 8 Markowitz Portfolio Theory 8.1 Expected Returns and Covariance The main question in portfolio theory is the following: Given an initial capital V (0), and opportunities (buy or sell) in N securities

More information

The Capital Assets Pricing Model & Arbitrage Pricing Theory: Properties and Applications in Jordan

The Capital Assets Pricing Model & Arbitrage Pricing Theory: Properties and Applications in Jordan Modern Applied Science; Vol. 12, No. 11; 2018 ISSN 1913-1844E-ISSN 1913-1852 Published by Canadian Center of Science and Education The Capital Assets Pricing Model & Arbitrage Pricing Theory: Properties

More information

Maximization of utility and portfolio selection models

Maximization of utility and portfolio selection models Maximization of utility and portfolio selection models J. F. NEVES P. N. DA SILVA C. F. VASCONCELLOS Abstract Modern portfolio theory deals with the combination of assets into a portfolio. It has diversification

More information

Mean Variance Analysis and CAPM

Mean Variance Analysis and CAPM Mean Variance Analysis and CAPM Yan Zeng Version 1.0.2, last revised on 2012-05-30. Abstract A summary of mean variance analysis in portfolio management and capital asset pricing model. 1. Mean-Variance

More information

Solutions to questions in Chapter 8 except those in PS4. The minimum-variance portfolio is found by applying the formula:

Solutions to questions in Chapter 8 except those in PS4. The minimum-variance portfolio is found by applying the formula: Solutions to questions in Chapter 8 except those in PS4 1. The parameters of the opportunity set are: E(r S ) = 20%, E(r B ) = 12%, σ S = 30%, σ B = 15%, ρ =.10 From the standard deviations and the correlation

More information

Mean-Variance Model for Portfolio Selection

Mean-Variance Model for Portfolio Selection Mean-Variance Model for Portfolio Selection FRANK J. FABOZZI, PhD, CFA, CPA Professor of Finance, EDHEC Business School HARRY M. MARKOWITZ, PhD Consultant PETTER N. KOLM, PhD Director of the Mathematics

More information

FINANCE 402 Capital Budgeting and Corporate Objectives. Syllabus

FINANCE 402 Capital Budgeting and Corporate Objectives. Syllabus FINANCE 402 Capital Budgeting and Corporate Objectives Course Description: Syllabus The objective of this course is to provide a rigorous introduction to the fundamental principles of asset valuation and

More information

CHAPTER III RISK MANAGEMENT

CHAPTER III RISK MANAGEMENT CHAPTER III RISK MANAGEMENT Concept of Risk Risk is the quantified amount which arises due to the likelihood of the occurrence of a future outcome which one does not expect to happen. If one is participating

More information

ABILITY OF VALUE AT RISK TO ESTIMATE THE RISK: HISTORICAL SIMULATION APPROACH

ABILITY OF VALUE AT RISK TO ESTIMATE THE RISK: HISTORICAL SIMULATION APPROACH ABILITY OF VALUE AT RISK TO ESTIMATE THE RISK: HISTORICAL SIMULATION APPROACH Dumitru Cristian Oanea, PhD Candidate, Bucharest University of Economic Studies Abstract: Each time an investor is investing

More information

COPYRIGHTED MATERIAL. Portfolio Selection CHAPTER 1. JWPR026-Fabozzi c01 June 22, :54

COPYRIGHTED MATERIAL. Portfolio Selection CHAPTER 1. JWPR026-Fabozzi c01 June 22, :54 CHAPTER 1 Portfolio Selection FRANK J. FABOZZI, PhD, CFA, CPA Professor in the Practice of Finance, Yale School of Management HARRY M. MARKOWITZ, PhD Consultant FRANCIS GUPTA, PhD Director, Research, Dow

More information

Random Variables and Probability Distributions

Random Variables and Probability Distributions Chapter 3 Random Variables and Probability Distributions Chapter Three Random Variables and Probability Distributions 3. Introduction An event is defined as the possible outcome of an experiment. In engineering

More information

Chapter 7: Portfolio Theory

Chapter 7: Portfolio Theory Chapter 7: Portfolio Theory 1. Introduction 2. Portfolio Basics 3. The Feasible Set 4. Portfolio Selection Rules 5. The Efficient Frontier 6. Indifference Curves 7. The Two-Asset Portfolio 8. Unrestriceted

More information

OPTIMAL RISKY PORTFOLIOS- ASSET ALLOCATIONS. BKM Ch 7

OPTIMAL RISKY PORTFOLIOS- ASSET ALLOCATIONS. BKM Ch 7 OPTIMAL RISKY PORTFOLIOS- ASSET ALLOCATIONS BKM Ch 7 ASSET ALLOCATION Idea from bank account to diversified portfolio Discussion principles are the same for any number of stocks A. bonds and stocks B.

More information

Chapter 8. Portfolio Selection. Learning Objectives. INVESTMENTS: Analysis and Management Second Canadian Edition

Chapter 8. Portfolio Selection. Learning Objectives. INVESTMENTS: Analysis and Management Second Canadian Edition INVESTMENTS: Analysis and Management Second Canadian Edition W. Sean Cleary Charles P. Jones Chapter 8 Portfolio Selection Learning Objectives State three steps involved in building a portfolio. Apply

More information

THE IMPACT OF INFLATION S EVOLUTION ON CONSUMPTION

THE IMPACT OF INFLATION S EVOLUTION ON CONSUMPTION THE IMPACT OF INFLATION S EVOLUTION ON CONSUMPTION Lecturer Marian SFETCU PhD. ARTIFEX University of Bucharest Daniel DUMITRESCU PhD. Marius POPOVICI PhD. Student Bucharest University of Economic Studies

More information

CHAPTER II LITERATURE STUDY

CHAPTER II LITERATURE STUDY CHAPTER II LITERATURE STUDY 2.1. Risk Management Monetary crisis that strike Indonesia during 1998 and 1999 has caused bad impact to numerous government s and commercial s bank. Most of those banks eventually

More information

Applications of Linear Programming

Applications of Linear Programming Applications of Linear Programming lecturer: András London University of Szeged Institute of Informatics Department of Computational Optimization Lecture 8 The portfolio selection problem The portfolio

More information

The Case for TD Low Volatility Equities

The Case for TD Low Volatility Equities The Case for TD Low Volatility Equities By: Jean Masson, Ph.D., Managing Director April 05 Most investors like generating returns but dislike taking risks, which leads to a natural assumption that competition

More information

Chapter 6 Efficient Diversification. b. Calculation of mean return and variance for the stock fund: (A) (B) (C) (D) (E) (F) (G)

Chapter 6 Efficient Diversification. b. Calculation of mean return and variance for the stock fund: (A) (B) (C) (D) (E) (F) (G) Chapter 6 Efficient Diversification 1. E(r P ) = 12.1% 3. a. The mean return should be equal to the value computed in the spreadsheet. The fund's return is 3% lower in a recession, but 3% higher in a boom.

More information

METHODS, THEORIES AND MODELS TO MEASURE MARKET RISK OF THE PORTFOLIO OF SHARES

METHODS, THEORIES AND MODELS TO MEASURE MARKET RISK OF THE PORTFOLIO OF SHARES ETHODS, THEORIES AND ODELS TO EASURE ARKET RISK OF THE PORTFOLIO OF SHARES PhD Professor Constantin ANGHELACHE Artifex University of Bucharest Academy of Economic Studies, Bucharest PhD Professor Vergil

More information

ANALYSIS MODEL OF CREDIT RISK

ANALYSIS MODEL OF CREDIT RISK ANALYSIS MODEL OF CREDIT RISK Assoc. prof. Mdlina Gabriela ANGHEL, PhD Assoc. prof. Aurelian DIACONU PhD ARTIFEX University of Bucharest Georgiana NI PhD Student Bucharest University of Economic Studies

More information

Home Bias Puzzle. Is It a Puzzle or Not? Gavriilidis Constantinos *, Greece UDC: JEL: G15

Home Bias Puzzle. Is It a Puzzle or Not? Gavriilidis Constantinos *, Greece UDC: JEL: G15 SCIENFITIC REVIEW Home Bias Puzzle. Is It a Puzzle or Not? Gavriilidis Constantinos *, Greece UDC: 336.69 JEL: G15 ABSTRACT The benefits of international diversification have been well documented over

More information

Portfolio Management

Portfolio Management Portfolio Management 010-011 1. Consider the following prices (calculated under the assumption of absence of arbitrage) corresponding to three sets of options on the Dow Jones index. Each point of the

More information

Evaluation of Financial Investment Effectiveness. Samedova A., Tregub I.V. Moscow

Evaluation of Financial Investment Effectiveness. Samedova A., Tregub I.V. Moscow Evaluation of Financial Investment Effectiveness Samedova A., Tregub I.V. Financial University under the Government of Russian Federation Moscow Abstract. The article is dedicated to description of an

More information

Answers to Concepts in Review

Answers to Concepts in Review Answers to Concepts in Review 1. A portfolio is simply a collection of investment vehicles assembled to meet a common investment goal. An efficient portfolio is a portfolio offering the highest expected

More information

The Markowitz framework

The Markowitz framework IGIDR, Bombay 4 May, 2011 Goals What is a portfolio? Asset classes that define an Indian portfolio, and their markets. Inputs to portfolio optimisation: measuring returns and risk of a portfolio Optimisation

More information

Modern Portfolio Theory

Modern Portfolio Theory 66 Trusts & Trustees, Vol. 15, No. 2, April 2009 Modern Portfolio Theory Ian Shipway* Abstract All investors, be they private individuals, trustees or professionals are faced with an extraordinary range

More information

A Statistical Analysis to Predict Financial Distress

A Statistical Analysis to Predict Financial Distress J. Service Science & Management, 010, 3, 309-335 doi:10.436/jssm.010.33038 Published Online September 010 (http://www.scirp.org/journal/jssm) 309 Nicolas Emanuel Monti, Roberto Mariano Garcia Department

More information

Influence of Real Interest Rate Volatilities on Long-term Asset Allocation

Influence of Real Interest Rate Volatilities on Long-term Asset Allocation 200 2 Ó Ó 4 4 Dec., 200 OR Transactions Vol.4 No.4 Influence of Real Interest Rate Volatilities on Long-term Asset Allocation Xie Yao Liang Zhi An 2 Abstract For one-period investors, fixed income securities

More information

Journal of Economics Studies and Research

Journal of Economics Studies and Research Journal of Economics Studies and Research Vol. 2012 (2012), Article ID 490608, 53 minipages. DOI:10.5171/2012.490608 www.ibimapublishing.com Copyright 2012 Claudia Maria Bulugea. This is an open access

More information

Risk and Return - Capital Market Theory. Chapter 8

Risk and Return - Capital Market Theory. Chapter 8 Risk and Return - Capital Market Theory Chapter 8 Principles Applied in This Chapter Principle 2: There is a Risk-Return Tradeoff. Principle 4: Market Prices Reflect Information. Portfolio Returns and

More information