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Scientific Study from the year 2011 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: 1, Dayananda Sagar College of Engineering (Department of Management Studies), course: Non Performing Assets, Banking, language: English, abstract: Non-performing assets (NPA) are the loans given by a bank or a financial institution where in the borrower defaults or delays interest and / principal payment. The management of NPAs therefore, is a very important part of credit management of banks and financial institutions in the Country. Currently NPA estimates in India are predominantly obtained from figures published by the Reserve Bank of India (RBI). However it would be helpful for banks and financial institutions to have an estimate of the NPA as soon as loan amounts are disbursed. This study attempted to develop a predictive model for the NPA% at both the gross and net level from the total assets of one of India's largest public banks. A strong correlation was observed between gross and net NPA% and the total assets suggesting that estimates of gross and net NPA can be made from total assets. Linear and non linear models were fit to predict the NPA% from the total assets. A non linear model linking both Gross and net NPA to total assets provided the best curve fit and the least deviation from actual values. Thus by simply looking at the banks total assets an overall picture of the banks NPA level can be ascertained.
Scientific Study from the year 2011 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: 1, Dayananda Sagar College of Engineering (Department of Management Studies), course: Non Performing Assets, Banking, language: English, abstract: Non-performing assets (NPA) are the loans given by a bank or a financial institution where in the borrower defaults or delays interest and / principal payment. The management of NPAs therefore, is a very important part of credit management of banks and financial institutions in the Country. Currently NPA estimates in India are predominantly obtained from figures published by the Reserve Bank of India (RBI). However it would be helpful for banks and financial institutions to have an estimate of the NPA as soon as loan amounts are disbursed. This study attempted to develop a predictive model for the NPA% at both the gross and net level from the total assets of one of India’s largest public banks. A strong correlation was observed between gross and net NPA% and the total assets suggesting that estimates of gross and net NPA can be made from total assets. Linear and non linear models were fit to predict the NPA% from the total assets. A non linear model linking both Gross and net NPA to total assets provided the best curve fit and the least deviation from actual values. Thus by simply looking at the banks total assets an overall picture of the banks NPA level can be ascertained.
March 1998 Differences in interest margins reflect differences in bank characteristics, macroeconomic conditions, existing financial structure and taxation, regulation, and other institutional factors. Using bank data for 80 countries for 1988-95, Demirgüç-Kunt and Huizinga show that differences in interest margins and bank profitability reflect various determinants: * Bank characteristics. * Macroeconomic conditions. * Explicit and implicit bank taxes. * Regulation of deposit insurance. * General financial structure. * Several underlying legal and institutional indicators. Controlling for differences in bank activity, leverage, and the macroeconomic environment, they find (among other things) that: * Banks in countries with a more competitive banking sector-where banking assets constitute a larger share of GDP-have smaller margins and are less profitable. The bank concentration ratio also affects bank profitability; larger banks tend to have higher margins. * Well-capitalized banks have higher net interest margins and are more profitable. This is consistent with the fact that banks with higher capital ratios have a lower cost of funding because of lower prospective bankruptcy costs. * Differences in a bank's activity mix affect spread and profitability. Banks with relatively high noninterest-earning assets are less profitable. Also, banks that rely largely on deposits for their funding are less profitable, as deposits require more branching and other expenses. Similarly, variations in overhead and other operating costs are reflected in variations in bank interest margins, as banks pass their operating costs (including the corporate tax burden) on to their depositors and lenders. * In developing countries foreign banks have greater margins and profits than domestic banks. In industrial countries, the opposite is true. * Macroeconomic factors also explain variation in interest margins. Inflation is associated with higher realized interest margins and greater profitability. Inflation brings higher costs-more transactions and generally more extensive branch networks-and also more income from bank float. Bank income increases more with inflation than bank costs do. * There is evidence that the corporate tax burden is fully passed on to bank customers in poor and rich countries alike. * Legal and institutional differences matter. Indicators of better contract enforcement, efficiency in the legal system, and lack of corruption are associated with lower realized interest margins and lower profitability. This paper-a product of the Development Research Group-is part of a larger effort in the group to study bank efficiency.
Massive private investment that complements public investment is needed to close the demand-supply gap and make reliable power available to all Indians. Government efforts have sought to attract private sector funding and management efficiency throughout the electricity value chain, adapting its strategy over time.
This paper traces the story of Indian financial sector over the period 1950–2015. In identifying the trends and turns of Indian financial sector, the paper adopts a three period classification viz., (a) the 1950s and 1960s, which exhibited some elements of instability associated with laissez faire but underdeveloped banking; (b) the 1970s and 1980s that experienced the process of financial development across the country under government auspices, accompanied by a degree of financial repression; and (c) the period since the 1990s till date, that has been characterized by gradual and calibrated financial deepening and liberalization. Focusing more the third period, the paper argues that as a consequence of successive reforms over the past 25 years, there has been significant progress in making interest and exchange rates largely market determined, though the exchange rate regime remains one of managed float, and some interest rates remain administered. Considerable competition has been introduced in the banking sector through new private sector banks, but public sector banks continue have a dominant share in the market. Contractual savings systems have been improved, but pension funds in India are still in their infancy. Similarly, despite the introduction of new private sector insurance companies coverage of insurance can expand much further, which would also provide greater depth to the financial markets. The extent of development along all the segments of the financial market has not been uniform. While the equity market is quite developed, activities in the private debt market are predominantly confined to private placement form and continue to be limited to the bluechip companies. Going forward, the future areas for development in the Indian financial sector would include further reduction of public ownership in banks and insurance companies, expansion of the contractual savings system through more rapid expansion of the insurance and pension systems, greater spread of mutual funds, and development of institutional investors. It is only then that both the equity and debt markets will display greater breadth as well as depth, along with greater domestic liquidity. At the same time, while reforming the financial sector, the Indian authorities had to constantly keep the issues of equity and efficiency in mind.
This compendium is a collection of papers which were presented in National Seminar on the theme “FinTech: Innovative Business Model for Financial Inclusion.” Organized by Department of MBA, I.T.S Engineering College, Greater Noida on November 15th, 2019. Through this compendium we aim to collate the ideas generated in the Seminar and bring them to the readers. FinTech is one of the promising industries all over the world and at the same time disruption to financial services Industry. The high usage of smart phones and technology based products has created the demand for accessing of financial services through internet. Further, this growth is expected to be USD 305.7 bn by 2023. The services provided by these companies are not only confined to payments, it cater much broader range of services like lending, capital market and wealth management. The collection of papers in this compendium focuses on various dimensions on the contemporary and emerging trends of banking and financial services in a digital world and major issues and challenges for the future market players in Financial Services Industry.
The 8th Annual Conference of the Economic Forum of Entrepreneurship & International Business Organized by Dr. Ghada Gomaa A. Mohamed Conference venue: LMH, University of Oxford, Oxford, United Kingdom Conference proceeding: Library & Archive Canada Conference date: February 1st, 2020 Editors: Dr. Ghada Mohamed Dr. Morrison Handley-Schachler Dr. Daniel May Dr. Thomas Henschel https://epe.lac-bac.gc.ca/100/201/300/annual_conference_economic/v08.pdf
India needs to spend close to Rs43 trillion (about $646 billion) on infrastructure through to 2022. Such a staggering requirement cannot be met though traditional sources such as public sector bank loans. India must immediately explore and quickly ramp up financing from alternative investment sources. This report provides an overview of infrastructure financing in India, sheds light on the challenges faced by the country's banking sector, suggests an optimal mechanism for securitizing the infrastructure assets of public sector banks, and outlines a range of scenarios and factors that must be in place for this mechanism to be successfully realized.
All of us love to spend. But before we can do that, we have to have earned or saved some money. Only sovereigns don't have to: they can print money, or borrow; in our country, where they own banks, they can use our deposits to lend and splurge for goals that may not always be economic in nature. Many rulers have succumbed to the temptation, with dire results - inflation, debased currency, payments crises, bankrupt banks, economic stagnation, loss of public confidence. After centuries of ruinous experiences, some governments learnt, others haven't, to control themselves, create self-governing Central banks and let them manage money and regulate banks. Sometime in 2015, news of unsustainable bad debts (non-performing assets or NPAs) in the Indian banking sector started to first trickle out, and then became a flood. In the forefront were some of India's largest government banks, and a series of tycoons who were running their empires on unpaid debts. The banks' problems landed on the table of Urjit Patel when he became Governor of Reserve Bank of India in September 2016. Based on thirty years of macroeconomic experience, he worked out the '9R' strategy which would save our savings, rescue our banks and protect them from unscrupulous racketeers. In this book, he explains the problem and how it blew up; and how he would have resolved it if he had not been prevented.