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The purpose of this paper is to determine the relative magnitude of calendar anomalies in international Real Estate Investment Trusts (REITs). The anomalies are the prior day effect, the Monday effect, the turn‐of‐the‐month effect and the January effect. The results are based on 14 countries. The corresponding stock index is used as the reference by which to gauge the anomalous behaviour of each REIT.

There are two primary dimensions to the statistical design. Between‐country differences, based on Gross Domestic Product (GDP) and a measure of shareholder protection, are examined using a panel model. Differences between the REITs and their stock index are examined using a repeated measures dependent variable design.

The presence of the four calendar anomalies is apparent in the REITs and the stock indices. There is not sufficient evidence to show that the magnitudes of the Monday, the turn‐of‐the‐month and the January anomalies differ between REITs and stock indices. However, there is evidence that the bad day effect is stronger for REITs compared to stocks.

In terms of market development, the sample of countries is unavoidably constrained. The sample represents developed economies. The degree that these results pertain to less developed economies has yet to be established.

Existing research into the influence of calendar anomalies on REITs is based on US data. This paper examines the influence in 14 countries, including the USA, using a robust and efficient statistical design.

The focus is on the seasonal affective disorder SAD hypothesis of Kamstra, Kramer and Levi (KKL). Examines the arguments advanced by KKL (2012) in their reply to the criticisms of the hypothesis raised by Kelly and Meschke (2010).

Uses a mixture of research synthesis and standard statistical analysis to investigate the reliability of the claims raised and the veracity of the statistical arguments.

The synthesis of the literature, and of the empirical models employed therein, raises questions about the validity of the SAD hypothesis.

Offers a rigorous analysis of whether there is a sound statistical basis for the SAD hypothesis which is frequently cited in the literature as support for the importance of behavioural finance.

In 1978 a postal questionnaire was despatched to 300 private shareholders of two public companies to determine their understanding of rights issues. This paper examines their attitudes towards rights issues using as a basis the perfect market model.

In a recent study, Liano, Liano and Manakyan (1999) conclude that the pattern of day‐of‐the‐week effects in stock indices differs between Democratic administrations and Republican administrations. Specifically, the weekend effect is more pronounced during Republican administrations. This paper re‐examines this issue. It incorporates into the analysis the implications of Connolly's (1989) findings that the weekend effect has disappeared since 1975. We confirm Connolly's results. However, contrary to Liano et al. (1999), we conclude that day‐of‐the‐week effects are not significantly moderated by the political administration.

This paper investigates whether weather affects stock market returns in Fiji's stock market.

The author employed an exponential general autoregressive conditional heteroskedastic (EGARCH) modeling framework to examine the effect of weather changes on stock market returns over the sample period 9/02/2000–31/12/2020.

The results show that weather (temperature, rain, humidity and sunshine duration) have robust but heterogenous effects on stock market returns in Fiji.

It is useful for scholars to modify asset pricing models to include weather-related variables (temperature, rain, humidity and sunshine duration) to better understand Fiji's stock market dynamics (even though they are often viewed as economically neutral variables).

Investors and traders should consider their mood while making stock market decisions to lessen mood-induced errors.

This is the first attempt to examine the effect of weather (temperature, rain, humidity and sunshine duration) on stock market returns in Fiji's stock market.

This paper provides a meta‐analysis of the Hirshleifer and Shumway's results on the casual influence of daily cloud cover on stock index returns for 26 international stock exchanges. It aims to test whether these results are influenced by the location of the stock exchange and the development of the economy.

A conventional meta‐analytic procedure is used to synthesise the data. The effect size, of the influence of cloud cover on stock returns, is measured by the Fisher Z correlation coefficient. This is obtained from the t‐statistic of the slope coefficient reported in the regression for each country. Two study characteristics are used to differentiate between the 26 stock exchanges. These are the latitude of the city and the per capita Gross Domestic Product of the country.

The influence of cloud cover on stock returns becomes more negative as latitude increases and more negative as per capita Gross Domestic Product increases. A cloud cover effect does not exist at the equator.

The implication is that trading rules based on cloud cover will be more profitable at higher latitudes.

Meta‐analyses are infrequently used in the Finance literature. This paper illustrates their utility.

This study examines the performance of first year accounting students in a recently amalgamated tertiary institution which conducts a common accounting course across three campuses. Despite the uniformity in curriculum content there are distinct campus differences including tertiary entry cut off scores, teaching styles and contact hours. A multiple regression model has been employed to examine the impact on performance of student background (including tertiary entrance score, prior accounting knowledge, sex and motivation), perceptions of teaching and campus, in a first unit of accounting. The quantitative model is supplemented by qualitative data analysis of student perceptions of the course and the teaching. The findings of this study are that background variables including prior accounting knowledge, tertiary entrance score and motivation to study accounting are significant in explaining performance. Of the variables tested on student perceptions of teaching only one, memory, was significant in explaining performance of students. Differences were identified in student performance across campuses after controlling for student background and in the perceptions of teaching. Campus differences were attributed to the differences in contact hours on the three campuses. These findings have implications for accounting educators teaching first year accounting both in a single campus setting and those endeavouring to develop a common curriculum across campuses in the recently formed Unified National System.

The purpose of this paper is to ascertain whether weather variables can explain the stock return reaction on the Dow Jones Sustainability Europe Index by employing a number of macroeconomic indicators as control variables.

The authors incorporate the generalized autogressive conditional heteroskeasticity model in methodology for the period August 26, 2009 to May 30, 2014 using daily data.

The empirical results indicate that not only do changes in humidity and wind levels seem to affect positively the European stock market but changes in returns oil and gold prices as well. However, the results show that the volatility of the US dollar/Yen exchange rate and ten-year bond value exerts significant negative impact on companies’ stock returns.

This study adds to the international literature by documenting the impact of weather variables on socially responsible companies.

This paper's purpose was to examine the impact of geomagnetic activity (GMA) on the timing and valuation of earnings information disclosed by firms every quarter.

The authors start the analyses with a sample of 112,669 client firms from 1989 to 2018. To analyze the impact of GMA on the earnings response coefficient (ERC), the authors use the three-day cumulative abnormal returns and cumulative abnormal returns for the extended post-earnings announcement window [2, 75] as the dependent variables. The authors interact unexpected earnings (UE) with the C9 Index, an index commonly used to measure GMA and study how GMA affects the pricing of new public information. To examine the effect of GMA on the timing of disclosure of earnings news, the authors regress a variant of the GMA index on the propensity to disclose bad earnings news.

The authors find significantly lower earnings response coefficients during periods of high GMA. This effect is permanent and stock prices do not correctly incorporate the implications of earnings information over time. The authors also show that managerial behavior is affected by GMA as well and the managers are more (less) likely to release bad (good) news during periods of higher activity. Finally, the authors also find that in situations where stakeholders are likely to rely on modern technology that depends minimally on humans, the adverse impact of GMA on the pricing of earnings information is mitigated.

The literature on the effect of GMA on the capital market is very limited and focuses primarily on stock returns, while the behavioral finance literature focuses on circumstances like weather, temperature and sporting outcome to study how the investors' mood affects their capital market behavior. The authors add to both the literature by investigating how GMA influences investors' and managers' behaviors in the capital market.

Since the first Volume of this Bibliography there has been an explosion of literature in all the main areas of business. The researcher and librarian have to be able to uncover specific articles devoted to certain topics. This Bibliography is designed to help. Volume III, in addition to the annotated list of articles as the two previous volumes, contains further features to help the reader. Each entry within has been indexed according to the Fifth Edition of the SCIMP/SCAMP Thesaurus and thus provides a full subject index to facilitate rapid information retrieval. Each article has its own unique number and this is used in both the subject and author index. The first Volume of the Bibliography covered seven journals published by MCB University Press. This Volume now indexes 25 journals, indicating the greater depth, coverage and expansion of the subject areas concerned.