Predicting Bankruptcy Using Z-Score and Z Double Prime (Z”): A Study of Pakistan Stock Exchange

Due to the unprecedented happenings and dynamic conditions of international economic system, firms are always at the verge of bankruptcy no matter how sound they are, their sustainability is always in jeopardy. Besides, lenders are continuously raising red flags and giving consistent warnings about possible perils of corporate failure due to fragile economic conditions and increasing debt levels in both corporate and individual businesses these days. Hence there was an exigency to ‘develop indicators for monitoring long term progress and sustainability of companies. Thereof it would contribute in illustrating to business analysts, firm stakeholders about the relevance of embracing these active checks for predicting bankruptcy as a sustainable business practice. This created a bizarre cult to look into the matter seriously. For this there is no mantra, no clever feats, sure-fire quick strategies. Instead there are well-defined, simple, systematic and sophisticated models to assess sustainability of companies. Thus, to avoid the tide of massive/substantial corporate failure and any future catastrophe; there is a dire need to identify the most suitable and preeminent model that can truly forecast the likelihood of default ahead of time in given circumstances. And, mainstay of this study is to provide an answer of question in hand by comparing two most venerable model choices i.e. Altman’s Z-score and Z double prime (Z”)

Demographics and Outcomes of Initial Phase of COVID-19 Medicines Delivery Units Across 4 UK Centers During Peak B1.1.529 Omicron Epidemic: A Service Evaluation

BACKGROUND: COVID-19 medicines delivery units (CMDU) were established in late December 2021 to deliver early antiviral therapy to patients classified as at risk with the aim of preventing hospitalization. METHODS: We performed a service evaluation at 4 CMDUs in England. We assessed demographics and triage outcomes of CMDU referral, uptake of antiviral therapy, and the rate of subsequent hospitalizations within 2 weeks of CMDU referral. RESULTS: Over a 3-week period, 4788 patients were referred and 3989 were ultimately assessed by a CMDU. Overall, 832 of the patients referred (17%) were judged eligible for treatment and 628 (13%) were ultimately prescribed an antiviral agent. The overall rate of admission within 14 days was 1%. Patients who were admitted were significantly older than those who did not require hospitalization. Of patients prescribed molnupiravir and sotrovimab, 1.8% and 3.2%, respectively, were admitted. CONCLUSIONS: There was a high volume of referrals to CMDU service during the initial surge of the Omicron wave in the United Kingdom. A minority of patients were judged to be eligible for therapy. In a highly vaccinated population, the overall hospitalization rate was low