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Kumar, Rajesh
- Regional Rural Banks:A Result of Narasimham Committee
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Authors
Affiliations
1 Vijay Medical Stores, Old Market, Dalli Rajhara, Dist – Balod, Pin Code – 491228, CG, IN
2 Dalli Rajhara, Dist – Balod, Pin Code – 491228, CG, IN
3 Chikhalakasa, Dist – Balod, Pin Code –491228, CG, IN
1 Vijay Medical Stores, Old Market, Dalli Rajhara, Dist – Balod, Pin Code – 491228, CG, IN
2 Dalli Rajhara, Dist – Balod, Pin Code – 491228, CG, IN
3 Chikhalakasa, Dist – Balod, Pin Code –491228, CG, IN
Source
Asian Journal of Management, Vol 3, No 4 (2012), Pagination: 188-195Abstract
The Narasimham committee on rural credit recommended the establishment of Regional Rural Banks (RRBs) on the ground that they would be much better suited than the commercial banks or co-operative banks in meeting the needs of rural areas. Accepting the recommendations of the Narasimham committee, the government passed the Regional Rural Banks Act, 1976. A significant development in the field of banking during 1976 was the establishment of 19 Regional Rural Banks (RRBs) under the Regional Rural Banks Act‚1976.
The RRBs were established "with a view to developing the rural economy by providing, for the purpose of development of agriculture, trade, commerce, industry and other productive activities in the rural areas, credit and other facilities, particularly to small and marginal farmers, agricultural laborers, artisans and small entrepreneurs, and for matters connected therewith and incidental thereto"
In present article authors are introducing you with RRB its history, present and suggesting various ways to develop RRB.
Keywords
Various Ways to Develop RRB.
- Loan and NPA Management
Abstract Views :237 |
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Authors
Affiliations
1 Vijay Medical Stores, Old Market, Dalli Rajhara, Dist – Balod, Pin Code – 491228, CG, IN
2 Dalli Rajhara, Dist – Balod, Pin Code – 491228, CG, IN
1 Vijay Medical Stores, Old Market, Dalli Rajhara, Dist – Balod, Pin Code – 491228, CG, IN
2 Dalli Rajhara, Dist – Balod, Pin Code – 491228, CG, IN
Source
Asian Journal of Management, Vol 3, No 4 (2012), Pagination: 229-237Abstract
A loan is a type of debt. Like all debt instruments, a loan entails the redistribution of financial assets over time, between the lender and the borrower. Non-performing assets, also called non-performing loans, are loans, made by a bank or finance company, on which repayments or interest payments are not being made on time. The most calamitous problem facing banks all over the world in recent times is spiraling non performing asset (NPA). Which are affecting their viability and solvency and thus posing challenge to their ultimate survival. NPA adversely affect lending activity of banks as non recovery of loan installment as also interest on the loan portfolio negates the effectiveness of credit - dispensation process. Non recovery of loan also hurt the profitability of banks, besides banks with high level of NPA have to carry reserves and provision and to provide cushion for loan losses. Banks have to make provisions on NPA from out of income learned by them on performing asset. In present paper author is suggesting possible way to reducing NPA.Keywords
Suggesting Possible Way to Reducing NPA.- Determining the Efficiency of the Black and Scholes Model in Pricing of Nifty Stock Call Options After Replacing the Spot Price by the Discounted Value of Future Price
Abstract Views :198 |
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Authors
Affiliations
1 Department of Management Studies, YMCA University of Science and Technology, Faridabad, Haryana, IN
1 Department of Management Studies, YMCA University of Science and Technology, Faridabad, Haryana, IN
Source
Asian Journal of Management, Vol 8, No 3 (2017), Pagination: 667-674Abstract
The aim of this research paper is to study the Black-Scholes model and the model after bring change in the spot price. The systematic difference between call option market prices and prices calculated under the Black-Scholes model have been observed for the valuation of call option contracts written on eight Indian stocks quoted on NSE. We have seen that Future prices of stocks are traded less than the market price which causes the negative cost of carry bias. The various pricing errors produced by the Black-Scholes model can be attributed to this difference. The negative cost carry problem has been addressed by Black in commodity market by using Future prices instead of spot prices as the Future prices incorporate cost of carry as well as the various mismatches faced by market. This research paper first examines the pricing errors produced by the Black-Scholes model and at the second stage it replaces spot price (S) in the original Black-Scholes model by the Discounting Value of the Future Price (DVFP) to gauge the pricing accuracy. It has been found that the exhibited errors under the Black- Scholes model are high and the model after replacing spot price by the DVFP shows improvement over the Black-Scholes model.Keywords
Black-Scholes Model, Negative Cost of Carry, DVFP.References
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