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We investigate how the COVID-19 pandemic affected the efficiency of exchange rate, stock and cryptocurrency returns by analyzing a well-known calendar anomaly, the turn-of-the-month (TOM) effect.

We define the TOM days as the final trading day of a month and the initial three trading days of the immediate next month. To understand the TOM effect, we estimate the typical ordinary least squares regression model using the Heteroskedasticity and Autocorrelation Consistent (HAC) standard errors and covariances.

Our findings indicate that the returns during TOM days are significantly higher relative to those of non-TOM days. Nonetheless, our findings further reveal that the COVID-19 pandemic intensifies the TOM effect for the equity markets but weakens it for the exchange rate and Ethereum markets. We then develop a trading strategy that is found to beat the typical buy-and-hold (BH) approach.

Based on these results, we create a trading strategy which is found to surpass the BH strategy. Our results provide useful implications for investors and policymakers, as the considered markets can be timed by taking positions, especially based on the behavior of the TOM effect.

First, this paper is the inaugural study to examine the TOM effect across equity, currency and cryptocurrency markets. Previous studies have not addressed the TOM effect in Ethereum markets. Second, our paper conducts a battery of validity tests to ensure that the studied anomaly is not confounded by erstwhile anomalies. Third, our paper explores the performance of studied anomalies both prior to and throughout the COVID-19 pandemic to gain a deeper understanding of market efficiency. Finally, we validate our findings using the Kruskal–Wallis test, free from the assumptions of normal distribution.

Literature has already analysed the relation between a property’s time on market (TOM) and other housing characteristics, but few to none include the property’s energy performance certificates (EPC) and none make a comparison between the selling and rental market. This paper aims to address these gaps by studying the relationship between TOM, price and EPC in both markets.

By introducing a combination of alternative tests, this study confirms a causal relation between TOM and price in the cross-sectional data. This allows this study to use a two-stage least square model and analyse 392,498 Flemish sale and rental properties transacted between 2019 and 2023.

The results indicate that both sale and rental properties with higher prices increase the TOM by 4–6 days, and this effect is even stronger in the selling market when the value-added tax is included. This study also finds that EPC labels have a complex relation with the time on market. A-labelled properties tend to increase the transaction time between 10 and 54 days, but B- and C-labelled properties decrease TOM between 20 and 30 days. In addition, the poorer performing labels (E and F) react differently across markets because of market-specific policies.

This paper provides novel insights by studying the relationship between TOM and EPC while also considering TOM’s endogenous relationship with the price. We control for these relationships in both the selling and rental market.

The attention-based view (ABV) of the firm highlights the role of decision makers’ attention in firm behavior. The ABV vastly improves our understanding of decision makers’ focus of attention; how that focus is situated in an organization’s procedural and communication channels; and how the distribution of the focus of attention among decision makers participating in those procedural and communication channels affects their understanding of a situation, their motivation to act, and, ultimately, their behavior. Significant progress has been made in recent years in refining and extending the ABV. However, the role of individual differences in the capacity to read other people’s desires, intentions, knowledge, and beliefs – that is, the theory of mind (ToM) – has remained on the sidelines. The ToM is a natural complement to the ABV. In this study, we explore how the ToM allows for an understanding of the advantage that organizations have over markets within the ABV.

We aim to examine the impact of COVID-19 on the efficiency of Gold and Bitcoin returns. In particular, our efficiency tests are based on the popular calendar anomaly, the turn-of-the-month (TOM) effect in these markets.

We define the TOM days as the final trading day of a month and initial three trading days of the immediate next month. To understand the TOM effect, we estimate the typical Ordinary Least Squares (OLS) regression model using the Heteroskedasticity and Autocorrelation Consistent (HAC) standard errors and covariances.

Though in the full sample, a positive and significant TOM effect is observed only for Bitcoin, during COVID period, the TOM effect appears in Gold returns and becomes stronger for Bitcoin, implying that the considered securities become inefficient during COVID period.

Based on these results, we create a trading strategy which is found to surpass the buy-and-hold strategy for both the full sample as well as the COVID period for Bitcoin while only during the COVID period for Gold. Our results provide useful implications for investors and policymakers as the Gold and Bitcoin markets can be timed by taking positions especially based on the behavior of the TOM effect.

We examine the TOM effect in the two important securities – Gold and Bitcoin. Though, a few studies have examined this anomaly in currency, equity and cryptocurrency markets, however, they have not considered the Gold market. Additionally, no study has examined the impact of COVID-19 on the TOM effect in these markets, and hence, market efficiency. We believe that our study is the first to examine the TOM effect in these markets simultaneously.

This study aims to examine the presence of the day-of-the-week (DOW), January and turn-of-month (TOM) effect in 20 currency pairs against the US dollar, from January, 1995 to December, 2014.

Ordinary least square with GARCH (1,1) framework is used to examine the presence of DOW, January and TOM effect to test the efficiency of the currency markets. The sample period is later divided into two sub-periods of equal length, that is, from 1995 to 2004 and 2005 to 2014, to explore the time-varying behavior of the calendar anomalies. Further, the authors also use the non-parametric technique, the Kruskal–Wallis test, to provide robustness check for the results.

For the DOW effect, the results indicate that the returns on Monday and Wednesday are negative and lower than the returns on Thursday and Friday which show positive and higher returns. The returns of all the currencies are higher (lower) in January (TOM trading days) and lower (higher) during rest of the year (non-TOM trading days). However, these calendar anomalies seem to have disappeared for almost all currencies during 2005 to 2014 and indicate that the markets have achieved a higher degree of efficiency in the later part of the sample.

The results have important implications for both traders and investors. The findings suggest that the investors might not be able to earn excess profits by timing their positions in some particular currencies taking the advantage of DOW, January or TOM effect, which in turn indicates that the currency markets have become more efficient with time. The results might be appealing to the practitioners as well in a way that they can consider the state of financial market for financial decision-making.

The findings of lower returns on Monday and Wednesday and high returns during Thursday and Friday for all the currencies indicate that the foreign investors can take the advantage by going short on Monday and Wednesday and long on Thursday and Friday. Similarly, the returns of all the currencies are higher (lower) in January (TOM trading days) and lower (higher) during rest of the year (non-TOM trading days). During this period, investors in the currency markets could benefit themselves by taking long (short) positions in January (TOM trading days) and short (long) positions during rest of the year (non-TOM trading days).

The author provides a pioneer study on the presence of calendar anomalies (DOW, TOM and the January effect) across a wide range of currencies using 20 years of data from January 1995 to December 2014. To the best of the author’s knowledge, no study has examined the presence of January effect in the currency market; therefore, the author provides the first study in which January effect in a number of currencies is investigated.

The purpose of this paper is to review the care management of a man with a traumatic brain injury (TBI) from a family member’s perspective.

The paper provides a case history of “Tom” both prior to his TBI and after.

Tom was the subject of a safeguarding adults case review in Somerset following his death in 2014. Ultimately the paper highlights the shortcomings and failures in the care Tom received by various organisations which ultimately contributed to his suicide.

The paper highlights the need for more effective communication between professionals managing the care of those with TBI. Furthermore, professionals need training in the need for mental capacity assessments and improved safeguarding and risk assessments with adults with TBI.

This paper provides insight into the needs of an adult with TBI from the perspective of a family member who is also a trained psychologist.

There has been little empirical investigation into the theoretical relationship between moral reasoning and offending in people with intellectual disabilities (ID). The purpose of this paper is to compare offending and non-offending ID groups on a new measure of social-moral awareness, and on theory of mind (ToM).

A between groups design was used. The scores of 21 male offenders and 21 male non-offenders, all with ID and matched for IQ, were compared on the Social-Moral Awareness Test (SMAT) and on two ToM tasks.

There was no significant difference in SMAT scores or on first- or second-order ToM tasks between offending and non-offending groups. Better ToM performance significantly predicted higher SMAT scores and non-offending groups. Better ToM performance significantly predicted higher SMAT scores.

Results were inconsistent with previous research. Further work is required to establish the validity and theoretical underpinnings of the SMAT. Development in the measurement of ToM for people with ID is also required.

This is the first use of the SMAT with a population of offenders who have ID. The findings suggest caution in its use in clinical settings.

In 1997 Tom was a 32‐year‐old man with a diagnosis of severe intellectual disability and autism who engaged in high‐rate challenging behaviour. Tom's out‐of‐area placement was about to break down and he needed help urgently. For 16 months specialist challenging behaviour services supported Tom directly in a single‐occupancy service. They conducted functional assessment and delivered multi‐level intervention, including medication withdrawal, environmental enrichment, skills teaching, augmented communication and targeted behavioural intervention. Support was then transferred to mainstream learning disability services. Following intervention, the rate of challenging behaviour shown by Tom fell significantly from more than 200 instances per day to almost none. Community involvement and engagement increased. Tom moved into shared accommodation with support from mainstream learning disability services at no additional cost. Improvement at intervention was still apparent 10 years later. Tom's story adds to a growing number of articles showing how focused intervention can deliver lasting improvement in quality of life. Four aspects of Tom's story are discussed in the light of the Mansell Report.

This study seeks to examine the market returns of five domestic real estate investment trust (REIT) indices to determine whether they exhibit a turn‐of‐the‐month (TOM) effect.

A test is carried out for the TOM effect by employing a battery of parametric and non‐parametric statistical tests that address the concerns of distributional assumption violations. An OLS regression model compares the TOM returns with the rest‐of‐the‐month (ROM) returns and an ANOVA model examines the TOM period while controlling for monthly seasonalities. A non‐parametric t‐test examines whether the TOM returns are greater than the ROM returns and a Wilcoxon signed rank test examines the matched‐pairs of TOM and ROM returns.

A TOM effect in all five domestic REIT indices is found: real estate 50 REIT, all‐REIT, equity REIT, hybrid REIT, and mortgage REIT. More specifically, the six‐day TOM period, on average, accounts for over 100 per cent of the monthly return for the three non‐mortgage REITs, while the ROM period generates a negative return. Additionally, the TOM returns are greater than the ROM returns in 75 per cent of the months.

The data are limited to five‐years of daily returns and five different indices. Thus, the results could be biased on the selected time period.

These results are important to REIT portfolio managers and investors. Domestic REIT markets experience a TOM effect from which investors and portfolio managers can benefit.

The daily returns of all five major domestic REIT indices are examined. Data are evaluated which include daily returns after the passage of the REIT Modernization Act of 1999 that resulted in numerous changes for REITs. Whether the TOM effect can be detected with both parametric and non‐parametric tests is examined.