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With the use of meta-goal programming, a portfolio model, based on Morningstar Stock Sector and Morningstar Bond Sectors, is developed. These sectors are part of an indexed mutual fund for stock and for bonds. The asset allocation is based upon a set of four meta-goals: (1) forecasted earnings growth, (2) forecasted revenue growth, (3) unwanted deviation of absolute deviation for the risk for stock investments, and (4) unwanted deviation of absolute deviation for the risk for bond investments.

The purpose of this paper is to illustrate the effectiveness of integrating a portfolio simulation‐based trading program with the top‐down approach to fundamental analysis in a security analysis course. The simulation allows for the application of class material using a combination of group and individual projects.

Students enrolled in the class completed a survey about the integrated approach and the required simulated trading.

Over 87 per cent of students agreed that the economic analysis provided more educational value as a group project than as an individual project, while over two‐thirds of the students disagreed that the trading simulation had more education value as a group project.

Although the authors focus on the top‐down approach, the concepts of technical analysis, hedging, and income generation could be more formally incorporated into the trading simulation.

The outline of how to integrate a trading simulation into the top‐down approach, using a combination of group projects and a cumulating project completed by each student, can be used as a guide for how to make the top‐down approach a more meaningful task.

The integration of the portfolio simulated trading program with the top‐down approach makes the course more applied and more enjoyable for both the students and the faculty.

The paper outlines how to integrate a trading simulation and the top‐down approach and reports the finding that students preferred the group approach to economic analysis and individual projects for the simulation and the company analysis.

The purpose of this paper is to examine the price level and volatility impacts of oil prices on energy mutual funds (EMFs). The authors also examine specific fund characteristics which might influence those interactions.

The authors test for volatility transmission between the oil prices and the funds in the sample. Later, the authors test to see which fund characteristics impact these volatility interactions.

The results show oil price movements lead majority of sample EMFs. The authors also find a volatility feedback relationship with most of the sample. Furthermore, the authors show the fund characteristics to be important indicators of these interactions. Morningstar rating, market capitalization and management tenure are found to be significant drivers of the relationships between EMFs and oil prices.

To the knowledge, there is not a study in literature which examines these relationships.

The purpose of this paper is to examine the value of active fund management using a sample of hybrid mutual funds.

Instead of using traditional risk‐adjusted measures, the paper employs an alternative attribution return methodology where the actual monthly fund return is compared to the return that would have been earned by the indexing strategy that best reflects the fund's prior month allocation. Value is measured by defining a fund's attribution return as the difference between a fund's actual month t return and the return that would have been generated in month t by the indexing strategy that most closely approximates the fund's month t−1 portfolio allocation.

It is found that hybrid funds as a group do not add value and that this underperformance does not appear to be driven by the poor performance of non‐surviving funds. However, these funds perform significantly better than the style benchmark under weak vs strong stock market conditions. This performance difference between bull and bear market conditions suggests some hedge fund‐like downside protection that may offer a reason why investors choose these funds despite the funds’ average underperformance and despite their higher costs relative to index funds.

The contribution of this paper is twofold. First, it concentrates on hybrid mutual funds, which despite a surge in their interest over the last five years have attracted very little academic study. Second, in the implementation of its non‐traditional performance measure, it employed daily fund returns, stock market indices and bond market indices as opposed to the monthly or quarterly data used in other related studies.

This article aims to explore three facets of the historical performance of a sample of actively managed unit trusts available to New Zealand investors: asset allocation, style analysis, and return attribution.

Because New Zealand does not require unit trusts to disclose their security holdings, the paper used returns‐based style analysis to infer how these trusts have allocated their funds among asset classes.

The research has found that, for unit trusts available to New Zealand investors, asset allocation can explain a significant amount of the differences in return across time and between trusts. Across time, asset allocation accounts for about 80 per cent of the variation in actual return. Between trusts, asset allocation explains about 60 per cent of the variation in returns. From either perspective, the choice of asset allocation is an important factor in explaining returns.

The paper suggests that active management barely earns its fees and that passive investments might do as well or better.

The purpose of this paper is to explore the differences in KiwiSaver portfolio composition between investors who receive financial advice and those who do not.

Using proprietary data which contain information of 405,107 individual KiwiSaver accounts, this paper examines who receives advice, compares the asset allocations of advised accounts with non-advised accounts, explores the relation of asset allocation with demographic characteristics and compares differences in returns between advised and non-advised investors.

Three key findings are presented in this paper. First, female investors, relatively older investors and investors with higher levels of funds under management (invested wealth) are more likely to receive financial advice. Second, advised investors hold more equity assets. Third, differences in performance between advised and non-advised accounts are marginal.

Panel data are not used, which prohibit investigating asset allocation choices overtime. The time series for returns is short, as KiwiSaver has only been operating since 2007. The total portfolio that people own is not known; thus, the values on investment fund information do not represent the total wealth of each person, as other accounts elsewhere may exist.

There are broad implications for the New Zealand capital market, retirement policy, financial advice industry and development of financial literacy programmes.

The paper examines individual investor behaviour on a nationwide sample and explores how receiving financial advice relates to asset allocation.

The purpose of this paper is to showcase empirical findings in the literature relating to Australian superannuation fund performance in the pre-reform period, from 2000 to 2014.

The authors synthesize Australian superannuation performance studies in an attempt to identify empirical approaches employed in the academic literature, showcase findings and uncover themes for future research.

The review highlights the following findings in the literature: actively managed “retail” superannuation funds appear to underperform passive index and/or portfolio approaches; high management fees and preference for liquid, less growth-orientated assets may be further undermining performance. It also reveals the need for future research to assess whether the recent government inquiries and the related reformative measures have achieved the desired effect of improving the Australian superannuation system. The authors therefore identify three areas of investigation that will cater for this research need: the fund performance of not-for-profit fund and self-managed super fund; the efficiency of super funds; and the appropriateness of wholesale fund benchmarks.

It is expected that superannuation fund performance will be subject to heightened scrutiny to assess the effectiveness of recent legislative changes resulting from the Stronger Super reform and other public inquiries. This study provides a timely, substantive and informative review of empirical findings pertaining to Australian superannuation performance in the pre-reform period to assist researchers looking to conduct further empirical research on this topic.

The owner of a small financial services firm is evaluating the performance of four funds to determine whether to offer them to his clients. The funds span a variety of objectives and include a recently initiated fund. The case explores issues related to the evaluation of mutual fund performance, including the selection of benchmarks and the effect of fees. The case provides a natural and compelling context in which to discuss market efficiency.

We examine the sources of performance for a sample of mutual funds that invest primarily in utility companies. Given recent deregulation developments in the utility industry and the sub‐market performance of utility stocks in the 1990s, we hypothesize that utility funds may be considering alternatives to traditional high‐yielding electric utility stocks. Although there is anecdotal evidence that utility funds may be tilting their focus away from electric utility stocks, we find that utility mutual funds as a group are no more or less heavily invested in utility stocks today than they have been over the past 10 years.

Though exchange-traded funds (ETFs) are similar to mutual funds, we identify several reasons how they are different based on their structure and trading characteristics. Therefore, we argue that the determinants of fund closure decisions for ETFs will not be the same as the mutual funds. We systematically explore those factors.

We use Cox Proportional Hazard model, which is considered a superior method, over the logistic regression models. All previous studies are based on logistic regressions.

We investigate the closure rate of ETFs over the 1995–2018 sample period. We find that the first three years are the most critical period for the survival of ETFs. Our full sample results show that early fund performance, the investment style of the fund, the expense ratio and fund family size are the most relevant factors influencing the likelihood of closure. When we consider equity-only funds, we find that key factors that influence fund closure are early fund performance, the expense ratio, failure to grow the fund's assets relatively quickly and the equity investment category of the fund.

Tracking error could be a significant factor. However, we have several missing values in the data. Therefore, we are forced to drop that variable. However, we use the SD of daily returns in lieu of that. Similarly, we were constrained by the availability of data for the equity style box scores.

Our study suggests that individual investors will be better off by investing in ETFs that are at least three-year to four-year old. If individuals want to invest in ETFs from the date of inception, the probability of survival is higher for an ETF within a larger fund family.

Hopefully, our research will attract the attention of CFPB and provide a warning to individual investors when they choose to invest in ETFs. More and more ETFs are getting included in retirement savings. So, abrupt ETF closures are likely to have large social implications for the future.

We are the first to use Cox Proportional Hazard model. We base our arguments from latest research on ETFs that the one earlier paper on ETF closure has missed. So, we examine the issue in a more systematic way.