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The purpose of this paper is to stimulate thinking as to how we might produce timely and more reliable estimates of changes in the value of portfolios, price indices based on a portfolio of properties, and other aggregate measures of trends in property values. It is argued that a traditional market value appraisal of each individual property may not be necessary or optimal when the objective is to value portfolios or get a leading indicator of shifts in market value at an aggregate level. Rather, it is more important to use a critical mass of current market data that captures systematic movements in property values. Although a traditional market value appraisal is always more likely to capture the unique unsystematic characteristics of an individual property, automated valuation models using a database of valuation data may provide the best way to get real time interim updates of real estate portfolios and create more timely real estate indices.

The purpose of this paper is to use a stochastic dominance test to examine the relative performance of value vs growth stocks based on multiple value-growth proxies in the Taiwan stock market.

This work examines whether the return distribution of a value portfolio stochastically dominates that of a growth portfolio using a test proposed by Linton et al. (2005).

By applying stochastic dominance analysis on the full-sample period, the sub-sample period and the state of the world’s economic conditions, the authors find that the earnings-to-price or dividend-to-price ratio is better than the book-to-market ratio as a value-growth proxy in Taiwan. There are robust results even after adjusting for data frequency, a sampling method and sample excluding financial services.

This study makes the first attempt to examine value vs growth strategies based on multiple value-growth proxies in the emerging market of Taiwan by administering the stochastic dominance test.

The research question addressed is whether an event portfolio analysis rooted in financial portfolio theory can yield meaningful insights to complement two approaches to event portfolios. The first approach is extrinsic and rooted in economic impact analysis where events need to demonstrate a financial return on investment. In the second approach events are valued ally, with every event having inherent value and the entire portfolio being valued for its synergistic effects and contribution to social and cultural goals. The paper aims to discuss these issues.

Data from visitors to four events in the Sunshine Coast region of Australia are analyzed to illustrate key points, including the notion of “efficient frontier.”

Conceptual development includes an examination of extrinsic and intrinsic perspectives on portfolios, ways to define and measure value, returns, risk, and portfolio management strategies. In the conclusions a number of research questions are raised, and it is argued that the two approaches to value event portfolios can be combined.

Only four events were studied, in one Australian local authority. The sample of residents who responded to a questionnaire was biased in terms of age, education and gender.

Authorities funding events and developing event portfolios for multiple reasons can benefit from more rigorous analysis of the value created.

This analysis and conceptual development advances the discourse on portfolio theory applied to event management and event tourism.

The purpose of this paper is to examine whether socio-economic factors influence portfolio composition of individual investors investing in stocks for the first time and how these factors relate to stock portfolio performance.

The study uses cross-sectional time-series analysis to examine a unique and detailed data set of Swedish stockholdings.

The results show that first-time investors do not hold diversified portfolios. They experience high market risk and, on average, underperform more experienced investors. Males have higher unsystematic risk in their portfolios than females and older investors have more diversified portfolios compared to younger investors.

The results show that individual investors should improve their insights by incorporating risk when investing in stocks.

Given the results of this paper, the movement from defined benefit to defined contribution pension schemes in many countries raises the issue of the need to better understand and monitor the risks in stock portfolios.

This study provides insights into whether socio-economic factors influence portfolio composition, the extent to which socio-economic factors and portfolio characteristics relate to portfolio returns, and whether portfolio performance between first-time and more experienced investors differs.

The purpose of this research is to study the extent to which various price and earnings momentum measures can be used to enhance portfolio performance by better timing entry into value stocks (and isolating those growth stocks that still have some period to run).

The paper uses the traditional methodology of ranking stocks on the basis of certain value and momentum measures (e.g. book‐to‐market, market return over some prior period), forming portfolios based on these rankings which are held for a specific period of time. The portfolios are formed on the basis of a single measure of multiple measures and the returns and associated p‐values are calculated with the objective of determining how these portfolios perform relative to a benchmark portfolio composed of all the companies in the universe. The analysis is conducted on a database consisting of approximately 8,000 companies drawn from 15 European countries over the period from January 1989 to May 2004.

It was found that a number of individual, and combinations of, price and earnings momentum factors are able to enhance value portfolios by identifying stocks that will not perform well in the immediate future. The best measure that was found for timing entry into value and growth stocks is a combination of price momentum and price acceleration where the difference in monthly performance between the “best” and “worst” value (growth) portfolios is 2.6 percent (2.4 percent) for holding periods of 12 months. It was found not only that this momentum measure can be used to enhance value and growth in portfolios consisting of all European stocks but also that it can be successfully deployed in the major individual markets and regions.

Most studies that evaluate the performance of value and growth portfolios do not consider the characteristics of the stocks held in these portfolios. However, it is these characteristics that determine the success of the portfolios formed on the basis of what can only be described as very crude valuation multiples. This paper demonstrates the potential of a closer evaluation of the stocks chosen to be included in a particular portfolio by being able to identify those stocks most likely to perform (and under‐perform). The findings in the paper have obvious implications for the investment processes of investment managers but they also provide useful insights into the efficiency of the European markets and the typical means of price formation within those markets.

The purpose of this paper is to construct and evaluate value and growth portfolios in Portugal, Italy, Ireland, Greece and Spain, which are commonly known as the EU PIIGS, from 2003 to 2015. Previous research evidence suggests that stocks trading at a lower price relative to their fundamentals (value stocks) tend to outperform stocks that trade at higher prices (growth stocks) in the long run. Although this market anomaly has been studied immensely worldwide, especially for the US stock market, there is no clear evidence whether such an assertion is applicable in less-renowned countries.

The paper utilises Fama and Macbeth (1973) regressions and its model extensions.

This paper finds a significant value premium in these countries, which is compatible with previous studies conducted worldwide.

To the best of the authors’ knowledge, this is the first attempt to examine this asset pricing anomaly in the PIIGS.

The authors construct asset portfolios comprising small-sized companies and value stocks that provide with higher returns for the UK market based on a three-factor model with incorporated behavioural features. The authors were able to demonstrate that value factor model is vulnerable to behavioural patterns, especially corporate fraud. In all of the above, the authors utilised a new proportional sorting methodology against the value ranking approach, commonly employed in empirical studies. Strong evidence is observed that portfolio performance based on various syntheses of allocated assets reveals counter-intuitive results related to the BE/ME, namely, that expected returns based on size and BE/ME produce significant errors and small firms retain consistently better returns. The reason might be the unusual accounting techniques many firms follow to receive extended capital after management decisions. The paper aims to discuss these issues.

The authors were able to demonstrate that value factor model is vulnerable to behavioural patterns, especially corporate fraud. In all of the above, authors utilised a new proportional sorting methodology against the value ranking approach, commonly employed in empirical studies. Strong evidence is observed that portfolio performance based on various syntheses of allocated assets reveals counter-intuitive results related to the BE/ME, namely, that expected returns based on size and BE/ME produce significant errors and small firms retain consistently better returns. The reason might be the unusual accounting techniques many firms follow to receive extended capital after management decisions.

Value factor model is vulnerable to behavioural patterns, especially corporate fraud. In all of the above, the authors utilised a new proportional sorting methodology against the value ranking approach, commonly employed in empirical studies. Strong evidence is observed that portfolio performance based on various syntheses of allocated assets reveals counter-intuitive results related to the BE/ME, namely, that expected returns based on size and BE/ME produce significant errors and small firms retain consistently better returns. The reason might be the unusual accounting techniques many firms follow to receive extended capital after management decisions. Overall, asset pricing models with embedded risk factors which entail either shares or dividends are logically circular behavioural simultaneities, thus invalid when tested and estimated by statistical methods as an outcome of the EMH.

In distinctive contrast to the recent literature, the authors show that the returns from a size factor model of small stocks tend to outperform big stocks especially in crisis periods. Moreover, the authors were able to demonstrate that value factor model is vulnerable to behavioural patterns, especially corporate fraud. In all of the above, the authors utilised a new proportional sorting methodology against the value ranking approach, commonly employed in empirical studies. Strong evidence is observed that portfolio performance based on various syntheses of allocated assets reveals counter-intuitive results related to the BE/ME, namely, that expected returns based on size and BE/ME produce significant errors and small firms retain consistently better returns. The reason might be the unusual accounting techniques many firms follow to receive extended capital after management decisions. Overall, asset pricing models with embedded risk factors which entail either shares or dividends are logically circular behavioural simultaneities, thus invalid when tested and estimated by statistical methods as an outcome of the EMH.

This study aims to investigate whether the zero-investment portfolio strategy generates higher excess returns for all listed companies in the Stock Exchange of Thailand (SET) or ESG100 stocks. The study period is from January 2016 to December 2020, a total of 60 months. The dividend yield is employed for categorizing the stock into value and growth stocks. The strategy of buying value stocks and short-selling growth stocks is then applied. The results show that investing using the zero-investment portfolio strategy can generate higher returns in an investment portfolio that consists of ESG100 stocks than in an investment portfolio that consists of all stocks in the SET. The optimal holding periods for investing in portfolios that consist of stocks in the SET are 6 months, 9 months, and 12 months, and the optimal holding periods for a portfolio that consists of ESG100 stocks is 6 months. To explain excess returns of stocks in the SET, the Fama and French (2015) five-factor model is employed. There is no relation between risk factors and excess returns for the holding period of 6 months and 12 months. However, excess return is found to have a negative relation with the market risk premium factor for a 9-month holding period. The excess returns of ESG100 stocks are also inversely correlated with investment factors for a holding period of 6 months.

The purpose of this paper is to examine the added value of combining a momentum indicator with a value indicator in varying stock market conditions.

A comprehensive sample of Finnish non‐financial stocks is first divided into three‐quantile portfolios based on valuation multiples and composite value measures. The value and glamour portfolios are divided further into two‐sextile portfolios based on the price momentum indicator. The performance of portfolios is evaluated on the basis of their raw and risk‐adjusted returns. Moreover, the impact of the stock market cycle on relative performance of quantile portfolios is examined.

Taking account of price momentum beside relative valuation criteria enhances the performance of most of the value‐only portfolios during the full sample period (1993‐2009). During bullish conditions, the inclusion of a momentum criterion somewhat adds value to an investor, but during bearish conditions this added value is negative.

The sample of stocks is not large in spite of its comprehensiveness from the local stock market aspect. Future studies can apply the approach to other stock markets.

The paper provides useful implications in portfolio management. The combination of the value and momentum criteria has paid off to the investor, despite the fact that its added value during bearish periods is negative, on an average.

This is the first time that the impact of the stock market cycle on the added value of combining price momentum with composite value measures as a portfolio‐formation criterion is examined.

The purpose of this paper is to examine the applicability of data envelopment analysis (DEA) as a basis of value portfolio selection criterion.

The portfolios are composed of the comprehensive sample of Finnish non‐financial stocks based on their DEA scale efficiency scores. The performance of portfolios is evaluated on the basis of average return and several risk‐adjusted performance metrics. Moreover, the impact of holding period length on the results is examined by varying the portfolio reformation frequency from one to five years at annual frequency.

The results show that the DEA scale efficiency scores add value to portfolio selection. Though outperformance of the DEA value portfolios in contrast to both comparable glamour portfolio and the stock market average is most evident for shorter (i.e. annual and biannual) holding periods, the absolute performance of the DEA value portfolio can be enhanced by using longer reformation intervals.

The sample of stocks is not large in spite of its comprehensiveness from the local stock market aspect. Future studies can apply DEA approach to other stock markets to examine whether the results are parallel to this study.

The DEA is particularly useful as a multicriteria methodology in cases in which the number of stocks in the sample is large.

This paper is the first attempt to form value portfolios using DEA models. The proposed methodology provides an interesting alternative to detect undervalued stocks by capturing several dimensions of relative value simultaneously. It provides also useful implications in portfolio management.