Azaan from mosques causes noise pollution: Tripura governor

New Delhi, Mar 4: The Supreme Court on Wednesday revoked the ban of cryptocurrency imposed by the Reserve Bank of India (RBI) in 2018.

Pronouncing the verdict, the three-judge bench of the apex court said the ban was 'disproportionate'.

The bench included Justice Rohinton Fali Nariman, Justice S Ravindra Bhat and Justice V Ramasubramanian.

The Internet and Mobile Association of India (IAMAI), whose members include cryptocurrency exchanges, and others had approached the top court objecting to a 2018 RBI circular directing regulated entities to not deal with cryptocurrencies.

Advocate Ashim Sood, appearing for IAMI, submitted that Reserve Bank of India lacked jurisdiction to forbid dealings in cryptocurrencies. The blanket ban was based on an erroneous understanding that it was impossible to regulate cryptocurrencies, Sood submitted.

The petitioners had argued that the RBI's circular taking cryptocurrencies out of the banking channels would deplete the ability of law enforcement agencies to regulate illegal activities in the industry.

IAMAI had claimed the move of RBI had effectively banned legitimate business activity via the virtual currencies (VCs).

The RBI on April 6, 2018, had issued the circular that barred RBI-regulated entities from "providing any service in relation to virtual currencies, including those of transfer or receipt of money in accounts relating to the purchase or sale of virtual currencies".

Financially troubled Yes Bank on Saturday reported a standalone net loss of ₹ 18,560.31 crore for the third quarter of the financial year 2019-20. This is amongst the biggest losses reported by the India Inc.

At present, the private lender is under a moratorium and is controlled by the office of the administrator appointed by the RBI.

The bank had reported a net profit of ₹1,001.85 crore during the corresponding period of the previous financial year.

Besides, the bank's total income fell to Rs 6,268.50 crore from Rs 8,849.81 crore earned during the October-December quarter of the previous fiscal.

On consolidated basis, Yes Bank reported a net loss of ₹18,564.24 crore for the December quarter from a net profit of Rs 1,000.57 crore in the corresponding period of the previous fiscal.

The independent auditor's review report on the consolidated results pointed out that there is a "material uncertainty related to going concern" of the bank.

"The said assumption of going concern is dependent upon the degree of success of the final reconstruction scheme, the quantum of capital infused into the bank and the bank's ability to stabalise its deposit balances post withdrawal of the moratorium by the RBI. Our conclusion is not modified in respect of this matter," the auditor said.

Furthermore, the bank recognised additional loans of ₹ 5,150.2 crore as NPAs and related provisioning requirements of ₹772.5 crore for the quarter ended December 31, 2019.

The bank has recognised an additional provisions of ₹15,422.0 crore in the quarter ended December 31, 2019.

Last week, the RBI placed Yes Bank under moratorium and capped the withdrawal limit at ₹50,000 till next Wednesday.

Additionally, the central bank also superseded Yes Bank's board of directors and appointed former SBI CFO Prashant Kumar as its administrator.

Meanwhile, Kumar has been appointed as the new Chief Executive Officer of the financially troubled lender. He will take over his new responsibilities once the moratorium on the stressed lender is lifted on Wednesday.

Apart from Kumar, Sunil Mehta, former non-executive Chairman of Punjab National Bank, will take over as the non-executive Chairman of Yes Bank.

Other board members include Mahesh Krishnamurthy and Atul Bheda, both as non-executive Directors.

Additionally, six private lenders have joined the SBI to rescue Yes Bank with Federal Bank committing ₹300 crore by subscribing to 30 crore shares of ₹2 each at a premium of ₹8 per equity share.

The six private lenders have now committed an investment of ₹3,700 crore in the cash-strapped private sector bank.

On Friday, ICICI Bank and Housing Development Finance Corporation (HDFC) Ltd had announced that they will be investing ₹1,000 crore each in Yes Bank's equity. Axis Bank and Kotak Mahindra Bank will be investing ₹ 600 crore and ₹500 crore, respectively, while Bandhan Bank will invest ₹300 crore.

The SBI board has already approved up to 49 per cent stake purchase in Yes Bank, as per the RBI's reconstruction scheme for the lender. It had said on Thursday that an investment of ₹7,250 crore would be made in Yes Bank to pick up₹ 725 crore equity shares.

New Delhi, Fevb 10: Of the countries most at risk of importing coronavirus cases, India ranks 17th, researchers have found on the basis of a mathematical model for the expected global spread of the virus that originated in China's Wuhan area in December 2019.

So far, India has reported three coronavirus positive cases -- all from Kerala.

Among the airports in India, the Indira Gandhi International Airport in New Delhi is most at risk, followed by airports in Mumbai, Kolkata, Bengaluru, Chennai, Hyderabad and Kochi, according to the model.

The new model for predicting global novel coronavirus cases has been developed by researchers from Humboldt University and Robert Koch Institute in Germany.

"The spread of the virus on an international scale is dominated by air travel," said the study.

"Wuhan, the seventh largest city in China with 11 million residents, was the relevant major domestic air transportation hub with many connecting international flights before the city was effectively quarantined on January 23, 2020, and the Wuhan airport was closed. By then the virus had already spread to other Chinese provinces as well as other countries," it added.

The researchers said that it is possible to estimate how likely it is that the virus spreads to other areas by looking at air travel passenger numbers.

"The busier a flight route, the more probable it is that an infected passenger travels this route. Using these probabilistic concepts, we calculate the relative import risk to other airports. When calculating the import risk, we also take into account connecting flights and travel routes that involve multiple destinations," said the study.

The top 10 countries and regions at risk of importing coronavirus cases are: Thailand, Japan, South Korea, Hong Kong, Taiwan, USA, Vietnam, Malaysia, Singapore and Cambodia, according to the model.

While Thailand's national import risk is 2.1%, it is 0.2% for India, found the research.

The foundation of the model is the worldwide air transportation network (WAN) that connects approximately 4,000 airports with more than 25,000 direct connections.

The model accounts for both, the current distribution of confirmed cases in mainland China as well as airport closures that were implemented as a mitigation strategy.

This network theoretic model is based on the concept of effective distance and is an extension of a model introduced in the 2013 paper "The Hidden Geometry of Complex, Network-Driven Contagion Phenomena" published in the journal Science.

The current outbreak of the 2019-nCoV virus started in Wuhan city, Hubei province, China. While the first cases were reported as early as December 8, 2019, the outbreak gained global attention on December 31, 2019, when the World Health Organization was alerted to "several cases of pneumonia" by an unknown virus.

The new virus was soon identified as a novel coronavirus and named 2019-nCOV. It belongs to the family of viruses that include the common cold and viruses such as SARS and MERS. On January 20, 2020, it was confirmed that the coronavirus can be transmitted between humans, greatly increasing the risk of a global spread.

The death toll due to the novel coronavirus outbreak in China has increased to 811 on Sunday, surpassing that of the Severe Acute Respiratory Syndrome (SARS) epidemic in 2003.

Although about 20 countries have confirmed cases, China has accounted for about 99 per cent of those infected. The first foreign victims of the virus both died on Saturday in Wuhan.