This research is about developing and validating reading comprehension assessments using the GDINA model. Reading comprehension assessment has stayed relatively unaltered over the years, despite changes recommended by legislators or trends in the education industry. As a result, assessments are still used to evaluate students' performance, whether norm- or criterion-referenced; to inform instruction; to find out if students may acquire access to the right programmes; and even to evaluate the programme, which is still employed. The current reading comprehension assessment in Malaysia does not provide instructors with adequate information to make educated decisions. There was not enough data or information provided by the reading comprehension examinations to support the students individually, as a class, or even as a whole school, despite the teachers' sincere attempts to assist their students in performing and succeeding and becoming strong readers. We need better assessments to help instructors who are desperate for effective tools to help them fulfill individual needs. Reading comprehension is a mental process that occurs when a reader engages with the material. It's a problem for people who have trouble reading. Thus, the discussion is about developing and validating reading comprehension, which can be improvised using the GDINA model.
This paper aims to review research on the challenges of implementing formative assessment in Asian classrooms. Multiple electronic databases were used to search for relevant articles and twenty-one studies were selected. The challenges faced while conducting formative assessments were analyzed and categorized into three levels (micro-, meso- and macro- level) based on Kozma's model, which examines contextual factors influencing teachers' classroom instructional practice as well as inherent disadvantages of formative assessment, namely, being time-consuming and demanding a heavy workload. The findings showed that the majority of challenges were on the micro and macro-levels, and were basic formative assessment disadvantages. Significantly, 80 percent of the studies reviewed reported inadequate knowledge of formative assessment among teachers at the micro-level. This is a vital issue for future research on formative assessment in Asian countries and highlights the need to draw more attention to training teachers through effective professional development programs. Future studies in this area should focus on practical formative assessment activities to reconcile formative assessment theories within the Asian culture and conditions.
This study examines the existence, tendency and determinants of herding in the Malaysian stock market under market stress from 2016 to 2020. This study adopts ordinary least square and quantile regression models to estimate herding. Three types of measurements are used to capture volatility, which are realized volatility, Parkinson volatility and Garman and Klass volatility. The result shows that herding exists in the Malaysian stock market. Investors are observed to herd stronger in the bearish (down) market condition compared to bullish (up) market condition, especially in the upper quantile (τ > 50%). Realized volatility is found to be significant in every quantile except for the median quantile (τ = 50%) and Garman and Klass's volatility is significant in the upper quantiles of 0.75 and 0.90. This study assists analysts and investors to formulate better investment strategies. Regulators and policymakers shall also control and regulate the herding behaviour of investors, which can deviate the stocks from their fundamentals. The existence of herding also violates the assumptions of EMH in assuming that investors are rational.
PurposeThis study examines the impact of firm-specific information and macroeconomic variables on market overreaction of US and Chinese winner and loser portfolio before and during COVID-19.Design/methodology/approachThe firm-specific information includes firm size, volume, volatility, return of asset (ROA), return of equity (ROE), earning per share (EPS) and quick ratio while the macroeconomic variables are export rate, import rate, real GDP, nominal GDP, FDI, IPI and unemployment rate. Besides, one-third of the top performance stocks are categorized as winner portfolio while one-third of lowest performance stocks are categorized as loser portfolio. This study uses AECR to indicate stock return and measure market overreaction. GAECR is used to determine contrarian profit. The data range of pre-COVID-19 is from 1-Jan-2015 to 31-Dec-2019 while the period of COVID-19 is from 1-Jan-2020 to 31-Dec-2020.FindingsIn pre-COVID-19, firm-specific information (volatility, ROA, ROE and EPS) and macroeconomic variables are found to be correlated to stock return in US and Chinese portfolios except Chinese winner portfolio. Nonetheless, the impact of firm-specific information has vanished and macroeconomic variables are significant to stock return in COVID-19. It shows that investors rely on the economic indicators to trade in turbulent period due to emergence of COVID-19 as a disruption in market. Furthermore, US and Chinese portfolios are overreacted during COVID-19. Chinese loser portfolio has higher tendency of overreaction than US loser portfolio while US winner portfolio has higher tendency of overreaction than Chinese winner portfolio.Originality/valueThe results of this study assists academician, practitioners and investors on understanding and create awareness to the existence of market overreaction and the determinants that can cause the phenomenon.
Padang Besar is a border town in Malaysia and it is located in the northern part of Perlis, which shares a border with the province of Songkhla, Thailand. This border town is popular for shopping activities among Malaysian and Thai. Most visitors and tourists come during the weekends, sometimes up to thousands at one time. This research paper examines the motivations of cross border shoppers from the perspective of domestic tourists in Padang Besar, Perlis. The objective is to identify the consumer characteristics and analyze the relationship between market characteristics with cross border shopping. This study employs quantitative method and the data were collected using self-administered questionnaires. Statistical software was used to analyze the 375 returned questionnaires. The findings revealed that most of the domestic tourists came from the lower income group and most of them were day tripper. They tend to spend more on food and beverages, while their average spending is more than RM300. Moreover, market characteristics show strong positive relationship towards this shopping activity. The information gathered is beneficial for both neighbouring countries as the government can help to improve the shopping area by facilitating the development with related tourism infrastructure and amenities.