This study aims to investigate the co-movement and information transmission between conventional and Islamic equity indices in Sri Lanka. This study uses daily data of All Share Price Index and Dow Jones Islamic Market Sri ...

By examining the impact of the day of the week during the COVID-19 pandemic and the subsequent economic recession, it is possible to provide insights into market behaviour during volatile times that can be furnished to ...

Purpose: This chapter examines the effect of COVID-19 on the stock market volatility (SMV) in the Colombo Stock Exchange (CSE), Sri Lanka. Need for the Study: The study is necessary to understand investor behaviour, ...

activities and macroeconomic factors in Sri Lanka. Design/methodology/approach– This study uses principal component analysis (PCA) and autoregressive distributed lag (ARDL) techniques to examine the relationship between ...

This study investigates the co-movement and information transmission between conventional and Islamic equity indices in Sri Lanka. Methodology: This study uses daily data of All Share Price Index and Dow Jones Islamic ...

In the rapidly advancing realm of digital technology, the imperative of creating innovative and user-centric interfaces cannot be overstated. This research undertakes a comprehensive exploration of Human-Computer ...

Ayurveda is an ancient system of medicine that has been used for thousands of years. It comprises a variety of medicines, including fermented forms such as Arishta (fermented decoctions). The therapeutic use of ...

Compared to past decades, there is a notable rise in social media influencers and content creators who focus on food-related content. Simultaneously, the number of viewers who interact with food-related ...

Averrhoa carambola, commonly known as star fruit, is a highly valued tropical fruit due to its unique flavor and numerous health benefits. This study examines the effects of several heat treatments on the physicochemical ...

The integration of Machine Learning (ML) in agricultural disease prediction has become increasingly prominent. This review paper explores the evolution of techniques used for predicting diseases in cinnamon leaves ...