Prediction of Spreads of COVID-19 in India from Current Trend

Shekhar, Himanshu

doi:10.1101/2020.05.01.20087460

Cited by 8 publications

(4 citation statements)

References 3 publications

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“…This incident opened the gate for foreign players like Netflix, Amazon. It boosted Indian Players like Hotstar and introduced new platforms like MX Player, Zee5, etc., which hold a significant market in India [4].…”

Section: Literature Surveymentioning

confidence: 99%

Impact of COVID-19 and Online Streaming Services on the Movie Theater

Akram¹,

Bhoyar²

2023

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Movie Theaters in India face a big crisis amid COVID-19, which leads to the shutdown of Theaters for more than five months. In the meantime, Online Streaming Services are expanding their business and revenue like never before. This scenario raises the very prominent questions (1) whether the movie theater business will survive this hard time and get back to normal growth and business once COVID-19 cases will reduce. The situation gets back to ‘old normal’. (2) Will Online Streaming services and Movie Theater business co-exist in the future, as Satellite TV and Movie Theater exist for many decades. Based on data from an empirical survey conducted among regular moviegoers, this paper questions the claims of the industry that the Movie Theater business is in danger due to the emergence of online streaming services. It has been observed that the increase in traffic on these online streaming services is mainly because of the lockdown situation, and once theater reopens and the COVID-19 health crisis went, people will get back to Theaters in a large number. Data from the reopening of Theaters in other countries are also showing the same result.

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Section: Literature Surveymentioning

confidence: 99%

Impact of COVID-19 and Online Streaming Services on the Movie Theater

Akram¹,

Bhoyar²

2023

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“…These short-term self-liquidating loans were advanced to addressthe working capital requirements of borrowers. Shekhar and Shekhar (2005) postulate that the self-liquidating commercial papers or short-term loans are intended to provide current working capital, which in itself are self-liquidating nature. A bill of exchange, typically example of a selfliquidating paper originating from a genuine trade transaction, which is a secured loan by physical goods, repayable out of the price fetched by their sales (Gomez, 2008).…”

Section: Self-liquidating Paper Theorymentioning

confidence: 99%

“…The Bank of Baroda was equally cited in the PWC 2014 banking survey report for large investments in government securities against lending to the private sector. The loans and advances come next to government securities in the order of liquidity; they are the most profitable of the bank"s assets (Shekhar & Shekhar, 2005). Nevertheless, a high credit risk associated with loans and advances has made it unattractive for banks.…”

Section: Elements Of Liquiditymentioning

confidence: 99%

Analysis of Financial Performance and Liquidity Trends of Banks in Ghana

Ayikwei Quarshie,

Djimatey

2019

Open J Econ Commer

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The purpose of this study was to analyse financial performance and liquidity trendsof some selected banks in Ghana. A review of literature on financial performance and liquidity concerns was done due to the current challenges confronting these banks. The study then examined 180 corporate annual reports of these banks in Ghana during the periods 2006-2015. The trend analysis revealed that the banks were liquid throughout the study period except that these banks were less liquid at certain periods, particularly, in 2013 and 2014 which recorded average liquidity of 1.54 and 1.41 respectively. The banks financial performance during the periods was quite intermittent. The year 2006 recorded the lowest performance for these banks, representing 6.74% and 0.83% for ROE and ROA respectively whilst 2014 was highest point, registering a return on equity of 24.23% and a return on assets of 4.57%. The study recommends that efficient and effective liquidity management should be adopted by bank managers to ensure that banks operate profitably and do not become insolvent. Since, it has been established empirically that high levels of liquidity will guarantee better financial performance.

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“…According to their prediction India would reach 73,458 number of COVID-19 patients as of April 30, 2020. Shekhar (2020) used exponential model to predict the number of infections in India. According to their prediction India would reach 1 lakh, 2 lakhs and 3 lakhs cases by May 15, 2020, May 22, 2020and May 26, 2020, respectively.…”

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confidence: 99%

Prediction of COVID‐19 active cases using exponential and non‐linear growth models

et al. 2020

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World Health Organization recognized COVID-19 as a pandemic on March 11, 2020.A total of 213 countries and territories around the world have reported a total of 27,948,441 confirmed cases as on September 9, 2020. This article adopted two nonlinear growth models (Gompertz, Verhulst) and exponential model (SIR) to analyse the coronavirus pandemic across the world. All the models have been used for active COVID-19 patients predictions based on the data collected from John Hopkins University repository in the time period of January 30, 2020 to June 4, 2020. Outbreak of COVID-19 disease has been analysed for India, Pakistan, Myanmar (Burma), Brazil, Italy and Germany till June 4, 2020 and predictions have been made for the number of positive cases for the next 28 days. Verhulst model fitting effect is better than Gompertz and SIR model with R-score 0.9973. The proposed model perform better as compare to other three existing models with R-score 0.9981.These above models can be adapted to forecast in long term intervals, based on the predictions for a short

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Prediction of Spreads of COVID-19 in India from Current Trend

Cited by 8 publications

References 3 publications

Impact of COVID-19 and Online Streaming Services on the Movie Theater

Impact of COVID-19 and Online Streaming Services on the Movie Theater

Analysis of Financial Performance and Liquidity Trends of Banks in Ghana

Prediction of COVID‐19 active cases using exponential and non‐linear growth models

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