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In the search for alternative income-generating assets, the paper addresses the following question, one that the literature has yet to answer: what is a reasonable allocation, if any, to asset-backed securities within a 60–40% stock-bond balanced portfolio of mutual funds?

The authors apply the Black–Litterman model of Modern Portfolio Theory to test the efficacy of adding asset-backed securities to the classic 60–40% stock-bond portfolio of mutual funds. The authors use out-of-sample tests of one, three, five, and ten years to determine a reasonable asset allocation. The data are monthly and range from January 2000 through September 2021.

The statistical evidence indicates a modest reward-risk added value from the addition of asset-backed securities, as measured by the Sharpe “reward-to-variability” ratio, in holding periods of three, five, and ten years. Based on the findings, the authors conclude that a reasonable asset allocation for income-seeking, risk-averse investors who follow the classic 60%–40% stock-bond allocation is 8%–10%.

The findings apply to a stock-bond balanced portfolio of mutual funds. Other fund combinations could produce different results.

Investors and money managers can use the findings to improve portfolio performance.

For investors seeking higher income-generating securities in the current record-low interest rate environment, the authors determine a reasonable asset allocation range on asset-backed securities. This study is the first to provide such direction to these investors.

Bitcoin is the best-known cryptocurrency which currently holds the largest market capitalisation and is regarded as a standard example of a cryptocurrency. There is, however, no consensus as to the nature of the Bitcoin. The purpose of this paper is to determine whether Bitcoin represents a new asset class by building on prior research.

The prior literature on asset classes is explored in detail and then applied to the Bitcoin. Four key criteria of asset classes are discussed, namely, investability, politico-economic profile, correlation of returns and risk-reward profile. Statistical techniques are used to inform the conclusions for the third and fourth criteria.

This research finds that the Bitcoin represents a distinct alternative investment and asset class. There are significant opportunities for investment. The politico-economic profile of the decentralised and consensus-based Bitcoin is dissimilar to other asset classes. The Bitcoin shares little or no correlation with other asset classes. Using Sharpe Ratios, it is shown that the Bitcoin provides risk-adjusted returns over and above most asset classes.

The aim of this research is to present a normative exploration into the asset class nature of the Bitcoin and, as a result, the aim is not to create positivist generalisable conclusions. This paper does not address cryptocurrencies, other than Bitcoin and does not constitute a detailed manual on modern portfolio theory.

This research adds to finance paradigm research on the Bitcoin by including a developing country perspective on Bitcoin as an asset class as prior studies have concentrated on developed country settings. Further, this research introduces recent economic data (2014 to 2017) in the form of daily observations to enhance prior understanding. It is important to understand if the Bitcoin represents an alternative investment and new asset class as this may affect investment decisions.

This paper examines the effect of cryptocurrencies on the portfolio risk-adjusted returns of traditional and alternative investments within an emerging market economy.

The paper employs daily arithmetic returns from August 2015 to October 2018 of traditional assets (stocks, bonds, currencies), alternative assets (commodities, real estate) and cryptocurrencies. Using the mean-variance analysis, the Sharpe ratio, the conditional value-at-risk and the mean-variance spanning tests.

The paper documents evidence to support the diversification benefits of cryptocurrencies by utilising the mean-variance tests, improving the efficient frontier and the risk-adjusted returns of the emerging market economy portfolio of investments.

This paper firmly broadens the Modern Portfolio Theory by authenticating cryptocurrencies as assets with diversification benefits in an emerging market economy investment portfolio.

As far as the authors are concerned, this paper presents the first evidence of the effect of diversification benefits of cryptocurrencies on emerging market asset portfolios constructed using traditional and alternative assets.

The purpose of this paper is to appraise the risk‐adjusted performance of international mutual funds using measures generated by the optimized variance (OV), and to promote ability of portfolio managers and investors in making logical decisions.

This study appraises the performance of 65 international mutual funds via the optimized risk‐adjusted measures during monthly period of 2001‐2010. Using 65 linear programming models, the OV is calculated to optimize the standard deviation of any funds. Then, another model is run to get the OV of market index. Consequently, seven optimized performance measures namely Treynor, Sharpe, Jensen's alpha, M‐squared, information ratio (IR), MSR, and FPI along with the optimized leverage factor are proposed to evaluate the performance of these mutual funds. Finally, the optimized measures are used to evaluate the funds during pre and post‐crisis periods in order to compare the funds' performance over the crisis periods.

The empirical evidence detects which OV, as measured by the Markowitz's linear programming model, is an important determinant in the performance evaluation measures. Using OV statistic and also its standard deviation, this paper shows that new optimized measures are mostly over‐performed rather than the benchmark index; in addition these optimized measures have close correlation with the conventional performance measures. The evidence shows that the average of the optimized measures during crisis has the lowest performance in comparison with other research periods. The results therefore highlight the importance of using the new optimized measures along with the conventional measures in the evaluation of mutual funds' performance.

It can be worthwhile to compare the optimized measure and also the conventional measures in identifying their superior measures.

The result of this study can be directly used as initial data to make decision by investors and portfolio managers who are seeking the possibility of participating in the global stock market through international mutual funds.

This paper is one of the first studies that optimizes the variance of return for any fund to suggest four optimized measures of Sharpe, IR, MSR, and FPI, and then proposes a new linear programming model to get OV of market index in introducing four optimized new measures of Treynor, M‐square, Jensen's alpha, and leverage factor.

Under the classical mean-variance framework, the purpose of this paper is to investigate the properties of the instability of minimal variance portfolio and then propose a novel penalized expected risk criterion (PERC) for optimal portfolio selection.

The proposed method considers not only a portfolio’s expected risk, but also its instability that is quantified by the variance of the estimated portfolio weights. This study tests the out-of-sample performance of various portfolio selection methods on both China and US stock markets.

It is very useful to control portfolio stability in real application of portfolio selection. The empirical results on both US and China stock markets show that PERC portfolio effectively controls turnover and consequently the transaction cost, and that is why it is so competing compared with other alternative methods.

The findings suggest that the rebalancing turnover and the associated transaction cost that is usually ignored in theoretical analysis play a very important role in real investment.

For investors, especially institutional investors, the rebalancing turnover and corresponding transaction cost must be carefully addressed. The variance of the estimated portfolio weights is a good candidate to quantify portfolio instability.

This study addresses the important role of portfolio instability and proposes a novel expected risk criterion for portfolio selection after the quantitative definition of portfolio instability.

This paper compares the benefits of direct international real estate investments in a mixed asset portfolio from the perspective of a passive investor with high and low bond allocation.

Due to high data availability and its professionalism, the Norwegian sovereign wealth fund was used as a representative example. Real estate indices from 8 countries were used for the portfolio analysis. The data were desmoothed according to Geltners’s 1993 approach.

The optimal real estate ratio in the present case is around 20–55%. However, this is strongly dependent on the bond ratio of the multi-asset portfolio. Portfolios with a high equity ratio benefit more from the additional direct real estate investments than portfolios with high bond ratios.

A rebalancing of individual stocks and bonds was not analysed. Only indexes from MSCI (Morgan Stanley Capital International) were available.

Concludes that the weighting of stocks and bonds has a strong influence on the optimal real estate ratio and therefore structural changes that affect this weighting.

The originality of the paper lies in the analysis with different weights of stocks and bonds, the consideration of 8 real estate markets and the observation period. The results of the work highlight areas of interest for further research.

The purpose of this paper is to compare the financial performance of green and traditional mutual funds in the USA.

A total of 131 green mutual funds identified by US SIF, were compared with the averages of all traditional mutual funds in their respective Morningstar categories. Performance measures analyzed included annualized rates of return, expense ratios, and Sharpe ratios, among others. Most data pertained to at least the past three years, while other data pertained to the most recent 5 to 15 years.

The results demonstrate that green mutual funds have generated lower returns and similar risks compared to traditional mutual funds in their respective Morningstar categories. Green mutual funds have underperformed on a risk‐adjusted basis.

Since there is no formal definition of a green mutual fund, the researcher and investor must make a subjective call in assessing which funds invest “green”. However, at least in this early stage in the history of green investing, green mutual funds have underperformed their peers.

Results confirm the limitations of green investing as suggested by various researchers, among them Sharpe, Rudd and Kurtz and DiBartolomeo. Results stand in contrast to Corson and Van Dyck and Statman, among others, which reported no significant underperformance for socially responsible investments.

This paper seeks to examine the benefits of further diversifying a global portfolio of financial assets with New Zealand farm real estate (FRE).

The paper compares efficient sets generated with and without FRE using portfolio theory.

The results show that given the predominantly negative correlation between FRE and financial assets, the risk‐return tradeoffs of portfolios of financial assets can be improved significantly. The diversification benefits measured in terms of risk reduction, return enhancement, and improvement in the Sharpe performance ratios are robust under a number of FRE risk‐return scenarios as well as under high and low inflationary periods. Using five and ten‐year rolling periods it also finds that FRE is a consistent part of risk efficient portfolios. Consistent with the results reported in Lee and Stevenson, for the UK real estate the risk reduction benefits of diversifying with FRE are larger than the risk enhancement benefits.

The results suggest that FRE takes on a consistent role of risk‐reducer rather than a return‐enhancer in a globally diversified portfolio. FRE appears to deserve more serious consideration by investment practitioners that it has been accorded in the past.

The study examines the role of direct real estate in a globally diversified portfolio of financial assets.

The purpose of this paper is to reexamine the corporate focus hypothesis to establish the characteristics of firms that discontinue operations. The authors concentrate on four interrelated elements of the hypothesis, diversification, performance, financial constraint and market-based risk measures. The authors also examine whether firms reporting positive- or negative-valued discontinued operations have different characteristics.

Analyzing discontinued operations provides a broad sample of strategically important exit decisions using a variety of different disposal methods. The authors use logistic regression models to explore whether the elements of the corporate focus hypotheses, and interactions between them, explain decisions to discontinue operations, and also the differences between firms making negative- and positive-valued announcements.

Firms that discontinue operations are more diverse, with weak operating performance, higher financial constraints and perform poorly in financial markets. Interrelationships between these factors strongly affect exit decisions. Companies reporting negative-valued discontinued operations are smaller, make lower capital investments and face greater cash constraints and market risk. Those announcing positive-valued discontinuations are larger and make higher payouts and capital expenditures. Their overall performance is weaker than for control firms, but clearly superior to companies discontinuing negative-valued operations.

Discounted operations represent a wide range of exit decisions. They provide a much larger sample than most previous studies of divestitures. The authors include β, the Sharpe ratio, cash holdings, payouts to shareholders, capital expenditures and also cross-product terms between the elements of the corporate focus hypothesis, all of which have received little attention in prior research. There are significant differences between firms announcing positive and negative-valued discontinued operations.