2013IRIES institutional repository of scientific publications of Institute of Economic Sciences (Institute of Economic Sciences, Belgrade)Open access

Measurement of investment portfolio performances

Milivoje Davidović, Husein Mehmedović, Goran Šijan, Darko Marjanović

Open full text 0 citations

Abstract

Management of investment portfolio includes \ntechnical and fundamental analysis, selection \nof appropriate securities, designing the optimal \nportfolio structure, portfolio performance measurement, \nmonitoring and portfolio rebalancing. \nInvesting in securities involves active, balanced \nor passive investment strategies. In addition, the \nstructure of investment portfolio consists of investment \nsecurities and trading book. Investment \nsecurities include liquid part that is a secondary \nliquidity reserve and the income part which is held \nto maturity in order to achieve the greatest possible \nprofit. Trading book are securities that are traded \ncontinuously in order to make a profit according \nto current price differences. Investment activities \nare based on information about rates of return, the \ndegree of risk, economic forecasts and risk preferences. \nAfter creating an optimal portfolio that is \non the efficiency frontier, investment managers \nperform ongoing monitoring by measuring performance \nof securities. Investment instruments \nand tools for evaluating portfolio performance \nare quite developed: Sharpe’s index, Treynor’s index, \nSortino ratio, Jensen index, Modigliani alpha \nindex, CAPM and APT. Using these indices and \nmodels, portfolio managers assess portfolio performance \nand redesign the portfolio structure to \nbring current portfolio to the efficiency frontier as \nclose as possible. Usability of these models and \ntechniques are in creating and maintaining an optimal \ninvestment portfolio in accordance with the \npreferences of investors in terms of yield and risk.

Open-access reader

About this research paper

What this paper is about

Management of investment portfolio includes \ntechnical and fundamental analysis, selection \nof appropriate securities, designing the optimal \nportfolio structure, portfolio performance measurement, \nmonitoring and portfolio rebalancing. \nInvesting in securities involves active, balanced \nor passive investment strategies. In addition, the \nstructure of investment portfolio consists of investment \nsecurities and trading book. Investment \nsecurities include liquid part that is a secondary \nliquidity reserve and the income part which is held \nto maturity in order to achieve the greatest possible \nprofit. Trading book are securities that are traded \ncontinuously in order to make a profit according \nto current price differences. Investment activities \nare based on information about rates of return, the \ndegree of risk, economic forecasts and risk preferences. \nAfter creating an optimal portfolio that is \non the efficiency frontier, investment managers \nperform ongoing monitoring by measuring performance \nof securities. Investment instruments \nand tools for evaluating portfolio performance \nare quite developed: Sharpe’s index, Treynor’s index, \nSortino ratio, Jensen index, Modigliani alpha \nindex, CAPM and APT. Using these indices and \nmodels, portfolio managers assess portfolio performance \nand redesign the portfolio structure to \nbring current portfolio to the efficiency frontier as \nclose as possible. Usability of these models and \ntechniques are in creating and maintaining an optimal \ninvestment portfolio in accordance with the \npreferences of investors in terms of yield and risk.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Management of investment portfolio includes \ntechnical and fundamental analysis, selection \nof appropriate securities, designing the optimal \nportfolio structure, portfolio performance measurement, \nmonitoring and portfolio rebalancing. \nInvesting in securities involves active, balanced \nor passive investment strategies. In addition, the \nstructure of investment portfolio consists of investment \nsecurities and trading book. Investment \nsecurities include liquid part that is a secondary \nliquidity reserve and the income part which is held \nto maturity in order to achieve the greatest possible \nprofit. Trading book are securities that are traded \ncontinuously in order to make a profit according \nto current price differences. Investment activities \nare based on information about rates of return, the \ndegree of risk, economic forecasts and risk preferences. \nAfter creating an optimal portfolio that is \non the efficiency frontier, investment managers \nperform ongoing monitoring by measuring performance \nof securities. Investment instruments \nand tools for evaluating portfolio performance \nare quite developed: Sharpe’s index, Treynor’s index, \nSortino ratio, Jensen index, Modigliani alpha \nindex, CAPM and APT. Using these indices and \nmodels, portfolio managers assess portfolio performance \nand redesign the portfolio structure to \nbring current portfolio to the efficiency frontier as \nclose as possible. Usability of these models and \ntechniques are in creating and maintaining an optimal \ninvestment portfolio in accordance with the \npreferences of investors in terms of yield and risk.

Key concepts: Efficient frontier, Portfolio, Portfolio optimization, Modern portfolio theory, Investment performance, Rate of return on a portfolio, Post-modern portfolio theory, Application portfolio management

Related papers

Back to paper searchBrowse research topicsOriginal source
Measurement of investment portfolio performances — Research Paper | ScholarLens