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The purpose of this paper is to examine the factors that have influenced the use of implicit (naïve) techniques in property portfolio diversification evaluation in the Nigeria property market. This is necessitated by the need to look at the ways by which the property portfolio diversification evaluation practice in the market could be made to improve and adjust to ever changing global trends in this area.

The authors of this paper administered questionnaires, backed up with interviews, on 28 institutional property investors and 128 real estate practitioners in three locations (commercial nerve centres) of the country, namely, Lagos, Abuja and Port‐Harcourt metropolitan areas. Data were analysed with the use of frequency distribution, mean and standard deviation measures, relative importance index and Pearson Chi‐Square test.

The results of the study in this paper revealed, among others, that lack of time series data and the small size of many of the investors' portfolios in Nigeria encouraged the use of implicit analysis in their property portfolio evaluation techniques. The study also showed that investors and practitioners detest complex calculations and were using traditional evaluation techniques because they considered the methods as needing no pre‐requisite knowledge before they could be used.

The study in the paper concluded that there is the need for a restructuring of the Nigerian real estate education and portfolio evaluation practice and the use of a micro‐real estate specific data derived from local market information to develop property performance indices towards building up functional real estate indices at the regional and national levels.

This paper is a pioneering attempt at establishing the factors that influenced the use of implicit techniques in property portfolio diversification evaluation in emerging property markets like Nigeria.

Fred Bocock was examining the performance of the Energy Hedge Fund and the Energy Portfolio, a hedge fund and a mutual fund respectively, which he manages. Bocock had become increasingly aware that absolute returns or relative returns (returns relative to a benchmark) may not adequately capture his performance and some measure of risk-adjusted performance was necessary. The Dynamis Energy Hedge Fund extends the discussion of performance evaluation into the hedge fund arena. (See “Zeus Asset Management,” UVA-F-1232, for an examination of performance evaluation techniques in the mutual funds arena.) More broadly, the case engages students in discussions on what hedge funds are, what investment strategies they use, and who their investors are. Since the portfolio manager of Dynamis manages both an oil sector equity mutual fund and an oil sector hedge fund, the case allows for a comparison between a hedge fund and a mutual fund. Students should consider the pros and cons of evaluating the performance of the oil stock mutual fund against a number of oil sector stock indices as well as against a number of generic indices, such as the S&P 500 Index. The use of futures, options, shorts, and leverage by hedge funds makes it a lot more difficult to measure their performance. The case comes with a spreadsheet that contains data on the energy mutual fund, the Dynamis hedge fund, and several relevant indices.

In recent years, student-managed investment funds (SMIFs), experiential learning programs at an increasing number of universities, have attracted significant scholarly interest. In this article, we review the academic literature on this pedagogy.

We use the systematic review method to assess a sample of 85 articles published in 30 journals during the period 1975 to 2020.

Our literature review reveals four streams of research: best practices and challenges, investment management, innovation and trends and SMIFs in a research setting. We also propose future research directions, including specific gaps in the literature, a focus on innovations to traditional programs, systematic investment performance and expansion into behavioral finance issues.

We contribute a comprehensive view of the body of scholarship on SMIFs, identifying existing streams of research and future research directions that will help guide the development of SMIF research into a cohesive and productive space.

Index by subjects, compiled by K.G.B. Bakewell covering the following journals: Facilities Volumes 8‐17; Journal of Property Investment & Finance Volumes 8‐17; Property Management Volumes 8‐17; Structural Survey Volumes 8‐17.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐17; Journal of Property Investment & Finance Volumes 8‐17; Property Management Volumes 8‐17; Structural Survey Volumes 8‐17.

Index by subjects, compiled by K.G.B. Bakewell covering the following journals: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐17; Journal of Property Investment & Finance Volumes 8‐17; Property Management Volumes 8‐17; Structural Survey Volumes 8‐17.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.