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The current study aims to examine the impact of two black swan events on the performance of six stock markets in Gulf Cooperation Council (GCC) economies (Abu Dhabi, Bahrain, Dubai, Oman, Qatar and Saudi Arabia). The two selected black swan events are the US Mortgage and credit crisis (Global Financial Crisis of 2008) and the COVID-19 pandemic.

The performance of all the six stock markets are represented by their return and price volatility behavior, which has been measured by applying ARCH/GARCH model. The comparative analysis is done by employing mean difference models. The data is collected from Bloomberg on a daily frequency.

The response of two black swan events on the GCC stock markets has been heterogenous in nature. During the financial crisis, the impact was heavily felt on most of the stock markets in the GCC countries. It is revealed that the financial crisis had a negative significant impact on four of the six countries. Whereas during the COVID-19 crisis, it is revealed that there is no significant impact on four of the six selected stock markets. The positive significant impact is felt on two stock markets, namely, the Abu Dhabi stock market and the Saudi stock market.

The present investigation attempts to fill the gap in the literature on the intended topic because it is evident from the literature on the chosen subject that no study has been undertaken to evaluate and contrast the impact of the GFC crisis and COVID-19 on the GCC stock markets.

The price clustering behavior is becoming a core part of the market efficiency theory especially with the development of trading strategies and the occurrence of major and unprecedented shocks which have led to severe inquiry regarding asset price dynamics and their distribution. However, research on emerging stock market is scant. The study contributes to the literature on price clustering by investigating an active emerging stock market, the Muscat stock market one of the Arabian Gulf Markets.

This research adopts the artificial intelligence technique and other statistical estimation procedure in understanding the price clustering patterns in Muscat stock market and their main determinants.

The findings reveal that stock prices are marked by clustering behavior as commonly highlighted in the previous studies. However, we found strong evidence of price preferences to cluster on numbers closer to zero than to one. We also show that the nature of firm’s activity matters for price clustering behavior. In addition, firms with traded bonds in Oman market experienced a substantial less stock price clustering than other firms. Clustered stock prices are more likely to have higher prices and higher volatility of price. Finally, clustering raised when the market became highly uncertain during the Covid-19 crisis especially for the financial firms.

This study provides novel results on price clustering literature especially for an active emerging market and during the Covid-19 pandemic crisis.

The SETUP09 system consists of both navigation and a computer-aided drawing technique for people who are blind and visually impaired (BVI). The purpose of this paper is to address the need for a screen navigation technique, which can facilitate a user’s ability to produce art, and scientific diagrams electronically, by introducing a compass-based screen navigation method.

BVI computer users were tested using different screen navigation tasks to assess the accuracy and efficiency of this compass-based navigation technique by using a prototype (SETUP09) and tactile paper grid maps.

The results confirmed that the compass-based navigation facilitates higher accuracy in screen-based moving and location recognition with a noticeable reduction in time and effort.

Improvements such as the addition of a sound layer to the interface, use of hotkeys, braille and user speech inputs are yet to be tested.

The current lack of suitable and efficient screen navigation technology is a limiting factor for BVI students and computer users in producing diagrams and drawings. This may place limitations on their career progression and life contentment. It is challenging for a BVI person to draw diagrams and art, which are commonly taught in education or used in industry. The compass-based screen navigation system was developed to address BVI users’ need to be able to create such content.

A compass-based navigation method enables screen navigation through a formal command language and enables intuitive movement to a screen location using matrix-style compass directions with zoom-in and zoom-out capabilities.

The reduction in under nutrition is very slow in the past two decades in India even with high-economic growth rate and expansion in the ICDS programme. The ICDS evaluation studies majorly stressed on the general factors but they fail to acknowledge the structural factors - class and caste - while providing solutions. In Tamil Nadu nutritional status and utilization of ICDS services are better as compared to all-India average. The purpose of this paper is to explore the nutritional status of the poor and scheduled caste (SC) in Tamil Nadu and their utilization of ICDS services and to examine the role of group-specific factors in low reduction of nutritional status and utilization of ICDS programme.

Multivariate analysis and logistic regression method were used using SPSS.

The reduction of underweight is slow among the poorest and SC, moreover, the disparity between the richest and poorest as well as upper caste and SC is increasing. Logistic regression analysis shows that the poorest are marginalized, children belonging to poorer income group have higher chances of using the ICDS than the poorest and it is significant. After making the wealth quintile constant, the utilization of ICDS services across social groups showed that, though the poorest quintile has less access, within them the SC had utilized less compared to the other backward class (OBC). This indicates the poorest SCs are more vulnerable and marginalized across all quintiles and social groups.

In Tamil Nadu there is no sufficient sample of other caste/tribe and scheduled tribe. It would have given more insight on the utilization pattern. Lack of qualitative data has limited in explaining few phenomena to get more insight.

It will help the government to formulate more inclusive policy and address the issue of exclusion of marginalized people.

The main core argument was based on the Tamil Nadu National Family Health Survey (NFHS) III unit-level data.