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Geographic diversity is a fundamental tenet in portfolio management. Yet there is evidence from the USA that institutional investors prefer to concentrate their real estate investments in favoured and specific areas as primary locations for the properties in their portfolios. Work done in the UK, focusing on the office sector, has drawn similar conclusions. The present paper seeks to examine the extent of real estate investment concentration in institutional Retail portfolios in the UK at two points in time; 1998 and 2003, and to present some comparisons with equivalent concentrations in the Office sector.

To examine this issue two datasets are used at two dates, 1998 and 2003. The analysis is confined to England and Wales because of data considerations relating to the availability of comparable data for the rest of the UK. The first dataset relates to floor space and rateable value statistics for the so‐called “bulk classes” of commercial property at Unitary Authority and District (local authority area, LA) level. The more specific institutional real estate investment data for the study come from the IPD analysis “UK Local Markets”. This provides a detailed view of the performance of institutional real estate investment, by sector, in a number of localities across the UK. For the purposes of this study, IPD made data available showing (but with much less detail) other LAs where the number of properties held was greater than zero, but fewer than the four required normally for disclosure. The approach taken is to map the basic data and the results from a standardising measure of spatial concentration – the Location Quotient.

The findings indicate that retail investment correlates more closely with the UK urban hierarchy than that for offices when measured against employment, and is focused on urban areas with high populations and large population densities which have larger numbers of retail units in which to invest.

Using data sets that account for the entire “population” of observations at these two dates the paper demonstrates the relationships between economic theory and the market performance of the sector. The comparisons with the Office sector also show the differences that would be expected between the sectors, emphasising the point that these markets are dynamic and that their structure, form and content can change dramatically even over quite short periods.

This study aims to determine whether the stock holdings of equity mutual funds are informative for predicting future stock performance in the Chinese market. It is a puzzle that actively managed mutual funds underperform passive benchmarks, whereas retail investors still delegate investment decisions to the fund managers. The present study sheds light on whether mutual fund managers possess security selection skills in their top ten holdings.

By regression analysis and portfolio sorting, this study focuses on 830 Chinese A-share stocks in the industry research reports from the Guotai Junan Securities Company. It collects mutual fund's top ten holdings data from the Wind Financial Terminal between 2019Q1 and 2021Q1. As robustness checks, the result holds for the fixed-effect model, an additional measure of ranks in the top ten holdings, the predictability test based on the confusion matrix and two stage least square (2SLS) regression.

The authors find that the top ten holdings by equity mutual funds are informative for predicting stock performance and can provide valuable information for investors to support their decision-making.

The findings of this study provide insightful guidance for retail investors in making investment decisions and support the hypothesis that active fund management adds value.

Firstly, the authors find that the top ten holdings of Chinese mutual funds show significantly positive signals for future stock excess returns, indicating the selection skills of fund managers. Secondly, the above positive relationship exhibits a diminishing marginal effect with more funds holding this stock. Thirdly, the authors find that the predictability horizon of the number of overweighing funds is up to three quarters and then diminishes in the fourth quarter. Finally, investors have a 59% prediction accuracy for the whole stock sample and an 85% precision conditional on the predicted positive subsample to outperform the market. The authors also address the endogeneity and reverse causality issues.

Analyses the diversification effects of the portfolio holdings of ten selected listed property investment companies on the co‐movement of the stock prices for an 11‐year period from 1983 to 1994. The long‐term common trends in the sample securitized property companies are tested using the bivariate and the Johansen’s multivariate cointegration methodologies. The empirical evidence does not reject the hypothesis that prediction of the price variation of one stock based on the change in the price of another comparable stock is possible in the long term. Also, the price convergence process was not dependent on whether two companies are practising the same diversification and/or specialisation policies. However, there is evidence that companies with large portfolio holdings can influence the stock prices of property companies with smaller portfolio holdings. This implies that arbitraging the small stocks by reading the price movement of the large firms could give possible abnormal returns to the investor.

This chapter first reviews the current stages of retail CBDC development before examining some of the common characteristics of retail CBDC projects being proposed in various jurisdictions. This chapter then examines the possible future of retail CBDC going forward.

The retail investment landscape in the UK has drastically changed. Understanding owners’ responses to this structural change is critical to gain insight into protecting investment performance. This paper identifies and evaluates the tactics and strategies being adopted.

This paper employs a mixed methods research approach, using data collected from semi-structured interviews with professionals involved in the retail investment process. This is supplemented by secondary market data analysis.

The paper assesses the practical responses made by retail property owners/managers, structured around emerging sub-themes. Actions include mitigating short-term risks through greater use of temporary tenants/licensees and independent retailers, preparing generic “white box” retail space to capture remaining tenant demand, exploiting the tenant mix to provide “the retail experience,” and applying new technologies and processes in a sector where systematic risk remains high. A new framework for retail asset management has been developed.

This study contributes to the retail asset management literature and understanding of the way the contemporary retail landscape is shaping investment management behaviour.

The developed framework provides guidance to real estate managers developing a retail real estate management strategy and will help them recognise tactics to better support the evolving retailing market.

The new framework adds new insights to understanding the process for managing retail assets and the actions necessary for asset managers to address economic/functional obsolescence and sustain asset investment values.

This study aims to compare the short-run performance of construction and non-construction initial public offerings (IPOs) that are offered in India during 2006–2015. The study also attempts to investigate the impact of ownership structure (i.e. concentrated ownership in the hand of promoters and institutional ownership) and market sentiment on the performance of construction sector IPOs in short run.

A total of 281 IPOs were listed at National Stock Exchange, India, during the study period, and 44 of those were from construction sector. The short-run performance of these construction and non-construction IPOs was compared using two indicators, i.e. monthly stock return (SR) and excess return over market benchmark (MAR). To examine the effect of concentrated ownership in the hand of promoters, institutional ownership and market sentiment on IPO performance, systematic dynamic panel regression model was developed.

The IPOs of construction firms perform significantly better than the non-construction firms. The performance of construction IPOs is significantly driven by the lag effect. This suggests a significant informational inefficiency, which results in a delayed reaction by investors. The market sentiment has a positive influence on the performance of construction sector IPOs, whereas the institutional holding has a negative influence.

To the best of the author’s knowledge, this study is the first attempt to examine the performance of construction sector IPOs in short run. The study uses systematic dynamic panel data regression, which provides better and reliable estimates.

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.

This case will enable students to understand the operations and business model of an international retailer. The case offers enough insights and learning on a retailer who enters a different market and collaborates with the local players to gain market access; and to understand the marketing techniques and strategies of an international retailer to capitalise on market opportunities.

The case is about a third largest US-based multinational Costco Wholesale corporation which is a giant retailer. The company operated at 803 locations with a revenue of $166.7bn, which makes it the third largest global retailer in 2020. The case offers comprehensive insight into Costco Wholesale’s business model, distribution strategy, marketing techniques and internationalisation. The authors further discuss that how Costco put forth its model among different range of customers and provided them with high-quality products at a comparatively lower price. The focus of the case is towards the Asian expansion of Costco. In subsequent parts, the strategies and challenges of Costco with respect to its Asian competitors have also been discussed. After generating experience in Asian markets, Costco has considered China as its next destination. The case also discusses the foreign retailers’ success, failure and retail format.

This case is designed for undergraduate and postgraduate classes of management and business administration.

Teaching notes are available for educators only.

CSS 8: Marketing.

This study aims to investigate whether and how different sentiments affect the stock market’s reaction to the American Customer Satisfaction Index (ACSI) information.

The portfolio approach, with time-varying risk factor loadings and the asset-pricing models, is borrowed from the finance literature to investigate the ACSI-performance relationship. A direct sentiment index is used to examine how investors’ optimistic, neutral and pessimistic sentiments affect the aforementioned relation.

This paper finds that customer satisfaction is a valuable intangible asset that generates positive abnormal returns. On average, investing in the Strong-ACSI Portfolio is superior to investing in the market index. Even when the stock market holds pessimistic beliefs, investors can beat the market by investing in firms that score well on customer satisfaction. The out-performance of our zero-cost, long–short ACSI strategy also confirms the mispricing of ACSI information in pessimistic periods.

Findings are limited to firms covered by the ACSI data.

Finance research has further documented evidence of the stock market under-reacting to intangible information. For example, firms with higher research and development expenditures, advertising, patent citations and employee satisfaction all earn superior returns. Literature also proves that investors efficiently react to tangible information, whereas they undervalue intangible information. In summary, combining our results and those reported in the literature, customer satisfaction is value-relevant for both investors and firm management, particularly in pessimistic periods.

This study is the first to investigate how sentiment affects the positive ACSI-performance relationship, while considering the time-varying property of risk factors. This study is also the first to show that ACSI plays a more important role during pessimistic periods. This study contributes to the growing literature on the marketing–finance interface by providing better understanding of how investor emotional states affect their perceptions and valuations of customer satisfaction.

This study investigates overtrading, which is the result of an expansion rate that is too high in relation to a particular business’s structure. It often results in cash flow problems. The phenomenon of overtrading is described in a case study on Profurn. In this study, a ratio was developed that can be used to identify companies in an overtrading position. Selected variables were tested by means of the Kruskal Wallis test in order to pinpoint variables that can discriminate successfully between companies that are overtrading and ones that are not. Overtrading occurred in 15.5% of the company years of listed South African companies between September 1989 and December 2005. Of the 35 variables tested, 31 were found to be able to discriminate statistically between company years in which overtrading occurred as opposed to ones in which it did not occur. These variables can therefore be used to profile companies that overtrade.