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C. Corrado, T. Miller (2006)
ESTIMATING EXPECTED EXCESS RETURNS USING HISTORICAL AND OPTION‐IMPLIED VOLATILITYJournal of Financial Research, 29
H.M. Markowitz
Portfolio selection
C. Corrado, T. Miller (2003)
The Forecast Quality of Cboe Implied Volatility IndexesDerivatives eJournal
B. Barber, Terrance Odean (2000)
Trading is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual InvestorsJournal of Financial Abstracts eJournal
M. Best, Jaroslava Hlouskova (2005)
An Algorithm for Portfolio Optimization with Transaction CostsManag. Sci., 51
M. Best, J. Hlouskova
An algorithm for portfolio optimization with variable transaction costs
C. Corrado, T. Miller
The forecast quality of CBOE volatility indexes
Pankaj Agrrawal (2009)
An Automation Algorithm for Harvesting Capital Market Information from the WebInformation Technology & Systems eJournal
M. Best, Joan Kale (2000)
Quadratic Programming for Large-Scale Portfolio Optimization
Jr. Adair (2006)
Excel Applications for Investments
Purpose – The purpose of this paper is to describe some optimization exercises which have proved to be very useful for introducing students to Markowitz‐style mean‐varience optimization. Design/methodology/approach – This paper describes two exercises that walk students through the process of gathering security price and dividend data, estimating the parameters of the joint distribution of asset returns, and then using a portfolio optimizer to construct mean‐variance efficient portfolios. It describes the basic methodology, and the more complex formulations of the portfolio optimization problem that are used in practice. Practical implications – Portfolio selection is typically taught in finance courses as an abstract solution to a system of equations, and does little to connect the portfolio construction process to Exchange Traded Funds, stocks, bonds and other assets that are traded in markets. This study offers a practical approach to teaching portfolio optimization, that starts with gathering market data and shows how a quadratic optimization system is used to construct mean‐variance optimal portfolios. Originality/value – The exercises in this case study prepare students to construct mean‐variance efficient portfolios for asset allocation with Exchange Traded Funds, and for building stock and bond portfolios, using market data and a portfolio optimizer.
Managerial Finance – Emerald Publishing
Published: Apr 10, 2009
Keywords: Portfolio investment; Variance; Assets management; Money markets
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