Monday Effect in the RMW and the Short‐Term Reversal Factors
In: International Review of Finance, Band 19, Heft 3, S. 681-691
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In: International Review of Finance, Band 19, Heft 3, S. 681-691
SSRN
In: Ali, F., Khurram, M.U. and Yuxiang J. (2021). The Five Factor Asset Pricing Model Tests and Profitability and Investment Premiums Evidence from Pakistan. Emerging Markets Finance and Trade.57 (9), 2651–2673
SSRN
In: Khurram, M.U., Ali, F. and Yuxiang J. (2020). Extreme Daily Returns, Lottery Mindset, Idiosyncratic Volatility and the Cross-Section of Stock Returns in a Comparatively Small Emerging Market. Revista Argentina de Clínica Psicológica. 29(5), 360-377 . DOI: 10.24205/03276716.2020.1036
SSRN
In: Emerging markets, finance and trade: EMFT, Band 57, Heft 9, S. 2651-2673
ISSN: 1558-0938
SSRN
Working paper
In: Ahmar, M., Ali, F., Jiang, Y., Wang, Y., Iqbal, K. (2022) Determinants of Adoption and the Type of Solar PV Technology Adopted in rural Pakistan, Frontiers in Environmental Science, In press. DOI: https://doi.org/10.3389/fenvs.2022.895622
SSRN
The electricity crisis in Pakistan has been triggering grid power outages (load shedding) for many decades, which has not only affected the commercial and industrial sectors but also the domestic sector, specifically the livelihood of rural areas of the country. However, the extant literature advocates that renewable energy technologies (RETs), such as solar photovoltaic (PV) can be the remedy. Given the abundant availability of solar energy in Pakistan that can be converted into electrical energy using a solar PV system, this study examines the determinants of solar PV adoption in rural areas of Pakistan. Our preliminary investigations—using government/official publications—indicate that despite the huge potential of solar energy in Pakistan, the usage of solar PV systems at the household level in rural areas is still untapped, which makes this research agenda more appealing and provocative. In doing so, this study first conducts surveys, face-to-face comprehensive interviews, and questionnaires in four different districts of Pakistan and then implements a stepwise two-stage novel approach on a sample of 1,140 selected rural households. The first stage focuses on the determinants of solar PV system adoption, whereas the second stage focuses on the determinants of the type of solar PV system adopted. Using logistic regression, this study finds that age, education, children in school, income level, access to credit, gender (female), and price of a solar PV system are the factors significantly affecting the solar PV system adoption. In the second stage, we use a multivariate probit model and find that among these significant factors, the former five are significantly positive for the uptake of solar home-system, whereas the latter two are significant for both solar shed-lighting and solar panel-kit systems. In addition to these factors, landholding and access-to-road are significant for solar home systems, whereas household size, distance-to-market, and access-to-grid-electricity are significant for both solar ...
BASE
In: Journal of ecohumanism, Band 3, Heft 8, S. 5449-5456
ISSN: 2752-6801
The healthcare industry is still developing; the directional trends have started to lean towards better hospital management strategies that would result in better patient care. In this paper, I critically review different leadership approaches in hospital contexts with success in organizational effectiveness and patient care delivery systems. Issues like leadership styles, including transformational, transactional, and servant leadership, logistical factors and clinical implications, and patient satisfaction are discussed on the operational level. Qualitative interviews are conducted Using qualitative and quantitative study methods, with results being statistically compared with corresponding quantitative hospital variables such as patient satisfaction, staff turnover, and readmission rates. The research indicates that the study has provided recommendations showing that Michigan Organizational QL is essentially predictive of cross-functional team collaboration and can be used to predict patient-centered care models. Finally, the paper contemplates the best recommendations that healthcare administrators and policymakers should consider embracing in order to raise standards in the direction, quality, and productivity of hospitals and care outcomes through purposes that embrace patient-centered care.
In: Acta polytechnica: journal of advanced engineering, Band 63, Heft 2, S. 75-88
ISSN: 1805-2363
Friction stir welding is a solid-state welding process used extensively for aluminium alloys. EN AW-1100 alloy is mostly used for its exceptional corrosion resistance, high ductility, high thermal and electrical conductivities, and cost-effectiveness. This study is focused on the optimisation of friction stir welding parameters to achieve enhanced mechanical properties of 5mm thick EN AW-1100 alloy plates welded with a single pass, using Taguchi L9 orthogonal array and ANOVA analysis. Experimental results revealed that maximum tensile strength of 79 MPa and percentage elongation of 38.87 % were achieved. The maximum Vickers hardness achieved in the stir zone was 34.15. These results were used for optimisation using Minitab and it was determined that 2000 RPM, 30 mm·min−1 traverse speed and square probe profile came out to be the best parameters for maximum tensile strength. 4000 RPM, 30 mm·min−1 traverse speed and square probe geometry were the best parameters for maximum hardness in the stir zone. ANOVA analysis showed that the most significant parameter for tensile strength was traverse speed. None of the considered parameters were influencing the hardness value in the stir zone at a 95 % confidence level.