Causal Relationship between Foreign Institutional Investments, Exchange Rate and Stock Market Index i.e. Sensex in India: an Empirical Analysis

Since the global crisis (2008) emerged in the world economy, the inflows of foreign investors increased in developing countries and India was not the exception in terms of huge investment by foreign investors. India’s capital market recognized as an emerging market in the world and growing fast since the economic liberalization and globalization in 1991. Since 1993, when liberalization policies came in to effect and Indian market opened for foreign investment, the FIIs become the driving force for the overall development of economy as well as pose threat in the development. This paper attempts to analyze the impact of currency fluctuations on the investment by the foreign investment investors, for analyzing the impact and causal relationship, Augmented Dickey-Fuller test and Granger Causality test has been applied, and for analyzing FIIs role in the development of Indian capital market linear regression model has been used. After applying the Granger Causality test, we found that FII granger causes Exchange rate. As far as causality relationship is concerned, a unidirectional causality or one-way causality is found from FII towards exchange rate. As far as the causal relationship between the FIIs and SENSEX, FII are only responsible for up to 45.4%. This means that whatever changes have happened in the SENSEX for period under study the FI investments are responsible up to 45.4%. This implies that there are many other macro-economic factors which have indirectly affected the SENSEX in India. Keywords: FIIs, SENSEX, INRUSD, BSE, Volatility, GDP, RBI, FDICausal Relationship between Foreign Institutional Investments, Exchange Rate and Stock Market Index i.e. Sensex in India: an Empirical Analysi

IMPACT OF FINANCIAL GROWTH ON THE ECONOMIC DEVELOPMENT OF OMAN

Purpose of the study: This paper aims to empirically test the long and short-run effects of financial development on the economic growth of Oman. Methodology: This paper has applied the Unit root test, ARDL Bound Test for Cointegration, CUSUM, and CUSUMSQ Test for testing of hypotheses. The data used to test the relationship between financial development and economic growth covers the period from 1980 to 2017. Main Findings: The major finding of the study suggested that the financial development variables measured in the research influence the economic growth in Oman.  Applications of the Study: This study can be useful to assess the strength of the empirical link between the financial sector and economic growth in Oman as one of the oil-exporting states of the Middle East Region, where such studies are inadequate. The novelty of the Study: The finding of the study with an addition to the existing literature by incorporating the new variables like employment or poverty in the existing model provides new insight on the financial development of Oman. Limitations and forward of the Study: The study has considered a set of data which in general acts as a catalyst for economic development in a particular country.  Implications of the Study: The outcome of the study suits the nature of the country and its socio-economic conditions. The outcomes of the study will not be suitable for every country and may result in spurious outcomes

Causation between Consumption, Export, Import, and Economic Growth of Oman

To examine the causation between consumption, export, import, and economic growth for the Sultanate of Oman using yearly time series data collected from the World Bank for 2000-2018. Further, it was tested by basic statistics, the Bound test with the ARDL model, and the Granger-causality tests. The findings of the Bound test analysis indicate the presence of both long-run and short-run associations among competing variables. The ARDL Model result reflects that imports have both short-run and long-run effects, supported by the Granger Causality tests by indicating the presence of unidirectional causality import to economic growth and import to consumption. The outcome of the study revealed that import is essential for economic growth as imports can absorb foreign technology in the domestic economy that can boost the export and further act as an engine of growth. How to Cite:Khan, U., Khan, A. M., Alam, M. D., & Alkatheery,N. (2022). Causation Between Consumption, Export, Import & Economic Growth of Oman. Etikonomi, 21(1), 67-78. https://doi.org/10.15408/etk.v21i1.20034

Identification of Risk Factors for Scoliosis in Elementary School Children Using Machine Learning

Scoliosis is an abnormal curvature of the spine and often diagnosed in childhood or early adolescence. In this study, the risk factors for scoliosis in elementary school children is investigate based on age, backpack weight and gender. There are 260 children participated in this study from aged 7 up to 12 years old. Scoliometer is used to measure the angle of trunk rotation (ATR) on Adam Forward Bending Test. Statistical analysis of analysis of variance (ANOVA) is used to determine the characteristic difference of ATR readings on the risk factors for scoliosis. Significant results with P-value less than 0.001 are found among ATR readings on a linear combination of risk factors for scoliosis of age and backpack weight. Then, the risk factors for scoliosis are classified among elementary school children using Decision Tree and K-Nearest Neighbor. The classification results shown that both Decision Tree method produced highest classification percentage up to 98.08%. This finding indicates that age and backpack weight are significant as the risk factors for scoliosis

Identification of Risk Factors for Scoliosis in Elementary School Children Using Machine Learning

Scoliosis is an abnormal curvature of the spine and often diagnosed in childhood or early adolescence. In this study, the risk factors for scoliosis in elementary school children is investigate based on age, backpack weight and gender. There are 260 children participated in this study from aged 7 up to 12 years old. Scoliometer is used to measure the angle of trunk rotation (ATR) on Adam Forward Bending Test. Statistical analysis of analysis of variance (ANOVA) is used to determine the characteristic difference of ATR readings on the risk factors for scoliosis. Significant results with P-value less than 0.001 are found among ATR readings on a linear combination of risk factors for scoliosis of age and backpack weight. Then, the risk factors for scoliosis are classified among elementary school children using Decision Tree and K-Nearest Neighbor. The classification results shown that both Decision Tree method produced highest classification percentage up to 98.08%. This finding indicates that age and backpack weight are significant as the risk factors for scoliosis

Minimal Symptom Expression' in Patients With Acetylcholine Receptor Antibody-Positive Refractory Generalized Myasthenia Gravis Treated With Eculizumab

The efficacy and tolerability of eculizumab were assessed in REGAIN, a 26-week, phase 3, randomized, double-blind, placebo-controlled study in anti-acetylcholine receptor antibody-positive (AChR+) refractory generalized myasthenia gravis (gMG), and its open-label extension

Post-intervention Status in Patients With Refractory Myasthenia Gravis Treated With Eculizumab During REGAIN and Its Open-Label Extension

OBJECTIVE: To evaluate whether eculizumab helps patients with anti-acetylcholine receptor-positive (AChR+) refractory generalized myasthenia gravis (gMG) achieve the Myasthenia Gravis Foundation of America (MGFA) post-intervention status of minimal manifestations (MM), we assessed patients' status throughout REGAIN (Safety and Efficacy of Eculizumab in AChR+ Refractory Generalized Myasthenia Gravis) and its open-label extension. METHODS: Patients who completed the REGAIN randomized controlled trial and continued into the open-label extension were included in this tertiary endpoint analysis. Patients were assessed for the MGFA post-intervention status of improved, unchanged, worse, MM, and pharmacologic remission at defined time points during REGAIN and through week 130 of the open-label study. RESULTS: A total of 117 patients completed REGAIN and continued into the open-label study (eculizumab/eculizumab: 56; placebo/eculizumab: 61). At week 26 of REGAIN, more eculizumab-treated patients than placebo-treated patients achieved a status of improved (60.7% vs 41.7%) or MM (25.0% vs 13.3%; common OR: 2.3; 95% CI: 1.1-4.5). After 130 weeks of eculizumab treatment, 88.0% of patients achieved improved status and 57.3% of patients achieved MM status. The safety profile of eculizumab was consistent with its known profile and no new safety signals were detected. CONCLUSION: Eculizumab led to rapid and sustained achievement of MM in patients with AChR+ refractory gMG. These findings support the use of eculizumab in this previously difficult-to-treat patient population. CLINICALTRIALSGOV IDENTIFIER: REGAIN, NCT01997229; REGAIN open-label extension, NCT02301624. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that, after 26 weeks of eculizumab treatment, 25.0% of adults with AChR+ refractory gMG achieved MM, compared with 13.3% who received placebo

Analyzing recognition of EEG based human attention and emotion using machine learning

An emotionally recognised area of research has already been quite prominent. EEG brain signals have recently been used to recognise an individual's mental condition. Attention often plays a key role in human development, but needs more study. This article offers a noble method of acknowledgment of human attention by sophisticated machine learning algorithms. Scalp-EEG signalling is a cost-effective, single-swinged mechanism dependent on time. Many trials have shown possible support for emotional identification through brain EEG waves. This paper examines and suggests a modern technology for the identification of emotions through the application of new computer learning principles. Ablations experiments also demonstrate the clear and important benefit to the efficiency of our RGNN model from the adjacent matrix and two regularizers. Finally, neuronal researches reveal key brain regions and inter-channel relationships for EEG related emotional awareness