International Financial Reporting Standards: An Empirical Study in India
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Doctoral Thesis / Dissertation from the year 2022 in the subject Economics - Finance, grade: 100, , language: English, abstract: This study brings to light the essential need for implementing the International Financial Reporting Standards (IFRS) in Indian Banking Sector to create a robust banking leading to an enhanced economy. While it is estimated that for creating 5 trillion economy which is the target of the Government of India, an economic growth rate of 8 percent is considered necessary. Implementation of IFRS in the Banking Sector of India can empower the commercial banks through great...
Doctoral Thesis / Dissertation from the year 2022 in the subject Economics - Finance, grade: 100, , language: English, abstract: This study brings to light the essential need for implementing the International Financial Reporting Standards (IFRS) in Indian Banking Sector to create a robust banking leading to an enhanced economy. While it is estimated that for creating 5 trillion economy which is the target of the Government of India, an economic growth rate of 8 percent is considered necessary. Implementation of IFRS in the Banking Sector of India can empower the commercial banks through greater transparency and reduced Non-Performing Assets. This in turn can help expand commercial banking in India. While trust in the banking sector is essential and is encouraged by the authorities of the Reserve Bank of India, the recent judgment of the High Courts in India made it clear that the money deposited by the Depositors is completely returnable by the banks through the contract of business. This will turn on pressure on the commercial banks to run the banking business effectively and efficiently, and adopting and implementing the IFRS will be in their interests to run the business transparently. This research has pointed out the necessary parameters and variables to be considered as important by the commercial banks. These variables have been identified as important for a Group Recommender System by calculating the Principal Component Analysis (A Group Recommender System can also use the Singular Value Decomposition (SVD), which is a classical method derived from linear algebra, in this research, it was preferred to work out the PCA, the Principal Component Analysis). Thus, this research is a forerunner for further focused studies that can be expanded in the Indian economy for better and greater insights for the project preparedness of the implementation of IFRS.
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