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The purpose of the paper is to check for reverse weekend effect in the Canadian stock market.

T‐tests, non‐parametric tests and regressions were employed.

There is reverse weekend effect in the Canadian stock market. Canadian stocks are shown to exhibit the traditional weekend effect prior to 1988, dissipating after that year until 1998 and then reversing to become the first non‐US market for which a reverse weekend effect is found.

This is the first paper on the Canadian stock market looking at reversal.

The purpose of this paper is to examine whether the seasonal anomaly known as the reverse weekend effect detected at index level can also be observed at individual stock level.

This paper's methodology is based on the model first developed by Connolly and then employed by Chang, Pinegar, and Ravichandran in which returns are regressed against the dummy variable for Monday. In addition, the conditional variance is also included into the mean equation following Engle, Lilien, and Robins. Given the increasing evidence that equity returns are conditionally heteroskedastic, the paper includes in the conditional variance the lag of the squared residual from the mean equation (i.e. autoregressive conditional heteroskedasticity term introduced by Engle) and the previous period's forecast variance (i.e. the generalized autoregressive conditional heteroskedasticity term introduced by Bollerslev). Also, the paper controls for the different impact of good and bad news on the conditional variance following Glosten, Jaganathan, and Runkle.

It is found that the anomaly is widely distributed among large firms, not just confined to a few firms. The finding suggests that the anomaly at the index level is not driven by the extreme returns of a few firms. The paper also finds that the anomaly at the firm level is not evenly distributed across the weeks of the month. Furthermore, trading volume and illiquidity of individual firms can only partially explain the seasonal anomaly.

This paper extends the study of the reverse weekend effect in individual firms.

The purpose of this paper is to provide a brief review of pre‐2003 work on the weekend effect and then discuss how recent selected work has extended our knowledge of the subject.

Results of recently published studies are organized and summarized by research question and outcomes.

While early literature found a fairly consistent weekend effect, with positive returns on Fridays and negative returns on Mondays, more recent research shows the effect moving to other days, reversing or vanishing.

While it is difficult to compare studies made across different time periods, the direction of present research gives insight into how markets are adjusting to the weekend effect anomaly.

Investors may find it very hard to adequately identify a trading strategy based on current research.

This work conveniently synthesizes and presents current research findings from a variety of published sources.

The existence of the weekend effect has been reported from the 1950s to 1970s in the US stock markets. Recently, Robins and Smith (2016, Critical Finance Review, 5: 417-424) have argued that the weekend effect has disappeared after 1975. Using data on the market portfolio, they document existence of structural break before 1975 and absence of any weekend effects after that date. The purpose of this study is to contribute some new empirical evidences on the weekend effect for the industry-style portfolios in the US stock market using data over 90 years.

The authors re-examine persistence or reversal of the weekend effect in the industry portfolios consisting of The New York Stock Exchange (NYSE), The American Stock Exchange (AMEX) and The National Association of Securities Dealers Automated Quotations exchange (NASDAQ) stocks using daily returns from 1926 to 2017. Our results confirm varying dates for structural breaks across industrial portfolios.

As for the existence of weekend effects, the authors get mixed results for different portfolios. However, the overall findings provide broad support for the absence of weekend effects in most of the industrial portfolios as reported in Robins and Smith (2016). In addition, structural breaks for other weekdays and days of the week effects for other days have also been documented in the paper.

As far as the authors are aware, this paper is the first research that analyzes weekend effect for the industry-style portfolios in the US stock market using data over 90 years.

The purpose of this paper is to examine the impact of employer-delayed deposits to defined contribution plans on plan participant wealth. The history of regulatory oversight on the obligations of employers to remit deposits to defined contribution plans on behalf of employees is discussed. In light of these regulations, the paper discusses and examines situations in which employers may legally delay the deposit of employee contributions to a defined contribution plan and how the existence of various calendar anomalies may impact the returns of plan participants.

Simulated equity portfolios over the period 1985-2014 are created to determine the economic significance of possible delays in plan deposits on the accumulated wealth of plan participants.

The findings suggest that in situations where employees are paid monthly at the end of the month, it is always to their benefit to have their funds deposited as soon as possible. However, for employees paid weekly at the end of the week, a slight delay (one to three days) in the deposit of funds by the employer may actually be beneficial for the employee, particularly if the employee invests heavily in small and mid-cap stocks.

This is the first paper to explicitly study the impact of an employer’s timing of deposits to a defined contribution plan on the accumulated wealth of plan participants, and is thus the primary contribution of the paper.

The purpose of this paper is to examine the day‐of‐the‐week effect for three primary money market instruments in Canada. The sample period is 1980‐2009.

The authors use three approaches. First, a parametric t‐test is employed to determine if a particular day‐of‐the‐week mean return is significantly different from zero, using both a full sample and a trimmed sample. Next, the Wilcoxon signed ranked test is utilized to assess whether the median weekday return is different from zero for each day. Lastly, a binary regression model is used to test if Monday's mean return is different from other days.

The traditional Monday effect is prevalent in the 1980s for corporate paper and treasury bills (TB), but not for bankers acceptances (BA). In the 1990s, the Monday effect disappears completely. However, in the 2000s the Monday effect reappears, but is positive (it reverses) for both corporate paper and BA. The authors also find strong support for Wednesday being a high return day, which concurs with related money market studies.

While the results are statistically significant, the economic significance is dubious. This study helps market participants in that it shows that they need to allow for distinct day‐of‐the‐week patterns when using yield spreads.

One practical implication for practitioners is to time purchases of Canadian money market securities for Monday when returns are low (relying on the results of the full sample period). Issuers should time sales for non‐Mondays when returns are higher and yields are lower.

This study is original in that it is the first one to analyze day‐of‐the‐week effects in the Canadian money market. The authors compare the results to studies that focus on the US market.

The purpose of this paper is to examine the presence of the turn-of-month effect in the Indian currency market for selected currency pairs: USD-INR, EUR-INR, GBP-INR and JPY-INR, from January 1999 to April 2014.

Ordinary least square regression analysis is used to examine the presence of the turn-of-month effect and to test the efficiency of the Indian currency market. The characteristics of the returns during the turn-of-month days are compared with that of the non-turn-of-month trading days. The sample period is later divided into two sub-periods, that is, pre- and post-2008 to capture the behavior of returns before and after the 2008 financial crisis.

The results indicate the existence of pricing patterns which are unique to individual currencies. For the entire sample period, USD and JPY exhibit turn-of-month effect and the returns in turn-of-month trading days are significantly lower than the returns during non-turn-of-month trading days. For the sub-period before 2008, all the currencies exhibit significant turn-of-month effects and the returns in the turn-of-month trading days are significantly lower than those in the non-turn-of-month trading days. However, post-2008; this effect vanishes for all the currencies except for USD.

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 turn-of-month effect which in turn indicates that the currency markets have become more efficient with time. The results are in conformity with those reported for the developed markets.

To the best of the author’s knowledge, no study has yet examined these calendar anomalies in the currency markets using data which covers two important periods, pre-2008 and post-2008. Therefore, we provide a pioneer study in which we analyze the calendar anomalies in an emerging currency market (India) by segregating the data before and after 2008 financial crisis.

Several articles in the popular press have detailed an end-of-year anomaly known as the Santa Claus Rally, a period best defined as the last five trading days of December and the first two trading days of January. The purpose of this paper is to examine US stock market returns over this period from 1926 to 2014.

The authors examine the Santa Claus Rally by relating it to firm size in the stock markets of the USA. The Santa Claus Rally consists of the last five trading days in December and the first two in January. The authors use t-tests, non-parametric test and regression analysis to determine if investors in small firms get superior returns over the period 1926-2014.

The authors find that returns are generally higher during the period and that the effect is considerably stronger for small-firm portfolios relative to large capitalization portfolios. The authors also provide convincing evidence that the three most important trading days (especially for small stock portfolios) are the last trading day in December and the first two trading days in January.

The authors only check the markets in the USA. Market makers can use this to get significantly high returns during the Christmas-New Year period. The study shows for the first time that there is a size effect as part of the Santa Claus Rally.

This is the first study to show that Santa Claus Rally exists for a long time in the USA. It is the first study to show that there is a size effect in Santa Claus Rally. Market participants could get significantly higher returns by investing or being invested in the stock market during this period.

The impact of the holiday season on stock market returns.

This is the first major academic study to examine Santa Claus Rally in this much detail. The authors not only show that the rally exists, the authors show that it is based on firm size and has been in existence for nearly 90 years in the USA.

The presence of a day-of-the-week effect has been investigated by many researchers over many years, using a variety of financial data and methods. However, differences in methodology between studies could have led to conflicting results. The purpose of this paper is to expand on an existing study to observe whether an analysis of the same data set with some added years and using a different statistical technique provide the same results.

The study examines the presence of a day-of-the-week effect on the Johannesburg Stock Exchange (JSE) indices for the period March 1995-2016, using a GARCH model.

The findings show that, contrary to the original study, the day-of-the week effect is present in both volatility and return equations. The highest and lowest returns are observed on Monday and Friday, respectively, while volatility is observed on all five days from Monday to Friday.

This study adds to the existing literature on day-of-the-week effect of JSE indices, where different patterns or, in some cases, no pattern have been noted. Few previous studies on the day-of-the-week effect observed the effect at micro-level for separate industries or made use of a GARCH model. The present study thus expands on the study of Mbululu and Chipeta (2012), by adding four additional observation years and using a different statistical technique, to observe differences that arise from a different time period and statistical technique. The results indicate that a day-of-the-week effect is mostly a function of the statistical technique applied.

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.