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Lakshmanasamy, T.
- Performance of Commercial Banks in India : DEA Measurement and Determinants of Technical Efficiency
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1 Department of Econometrics, University of Madras, Chennai, Tamil Nadu, IN
1 Department of Econometrics, University of Madras, Chennai, Tamil Nadu, IN
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International Journal of Banking, Risk and Insurance, Vol 9, No 2 (2021), Pagination: 42-52Abstract
As commercial entities, commercial banks are expected to maintain profitability in the face of stiff competition, while serving the mandatory government priorities and policy commitments, and central bank regulations. The performance of commercial banks crucially depends on their technical efficiency of realising the full potential output, which the banks invariably do not. This paper measures the technical efficiency of 94 public, private, foreign, and small financial commercial banks in India in 2019 using the data envelopment analysis (DEA) method; the determinants of technical efficiency are analysed by applying the Tobit regression method. The estimated technical efficiency scores of public sector banks are below average and private banks do little better than average, while the technical efficiency of foreign banks varies widely. The Tobit estimates show that capital adequacy and return on assets positively influence technical efficiency, while bank size reduces the technical efficiency of the banks. The managerial quality, bank profitability, and diversification are irrelevant to the technical efficiency levels of commercial banks. The results suggest that the performance of commercial banks in India may be improved by choosing a proper input-output mix and an appropriate scale size.Keywords
Commercial Bank Performance, Potential Output, Technical Efficiency, DEA Estimation, Determinants, Tobit Regression.
References
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- Spillover Effects in External and Domestic Markets : GARCH Estimation of Crude Oil Price, Exchange Rate, and Stock Price Volatilities
Abstract Views :146 |
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Authors
Affiliations
1 Department of Econometrics, University of Madras, Chennai, Tamil Nadu, IN
1 Department of Econometrics, University of Madras, Chennai, Tamil Nadu, IN
Source
International Journal of Banking, Risk and Insurance, Vol 10, No 1 (2022), Pagination: 19-28Abstract
Macroeconomic stability is crucial not only for economic growth but also for the living standards and investments in a market economy. The macroeconomic variables like crude oil price, gold price, exchange rate, inflation and stock returns are highly correlated to each other and are highly volatile, and the volatility in one market spills over to other markets. This paper analyses the dynamic causality between crude oil price, exchange rate and BSE Sensex and their volatilities in India. The daily data on macro variables for 14 years between January 2006 to March 2019 is used in the GARCH estimation of causal effects of volatility spillovers. The GARCH estimates show that the volatility and volatility spillover of one market cause volatility and volatility spillovers in other markets in India. The crude oil price and exchange rate volatility and volatility spillovers cause volatility in BSE Sensex. The volatility in BSE Sensex is highly overdone by internal shocks of the stock market itself.Keywords
Oil Price, Exchange Rate, Stock Market, Volatility, Causal Effect, GARCH Estimation.References
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- The Effect of FDI on Domestic Investment and Economic Growth: Vector Autoregression Estimation of Causal Effects
Abstract Views :242 |
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Authors
Affiliations
1 ICSSR Senior Fellow and Formerly Professor, Department of Econometrics, University of Madras, Chennai, Tamil Nadu, IN
1 ICSSR Senior Fellow and Formerly Professor, Department of Econometrics, University of Madras, Chennai, Tamil Nadu, IN
Source
International Journal of Banking, Risk and Insurance, Vol 10, No 2 (2022), Pagination: 48-60Abstract
There is evidence that foreign direct investment promotes growth in developing economies. At the same time, economic development attracts FDI. Further, FDI inflows may induce investment by national investors. To analyse the effect of FDI inflows on economic growth and domestic investment in developing countries, this paper has applied the vector autoregressive model for five Asian countries – India, Malaysia, Pakistan, Sri Lanka, and Thailand – for the period 1980-2020. In the VAR framework, the relationship between GDP, FDI, exports, infrastructure, and population growth are estimated endogenously by taking two-period lags of each of these variables. The estimated VAR results show that there is a positive impact of FDI on growth in these economies, except Pakistan, and the infrastructure facility is an important factor for attracting FDI. The impact of FDI inflows on domestic investment in India is significantly positive, with a more-than-two-fold increase in investment by the national investors.Keywords
FDI Inflows, Economic Growth, Domestic Investment, Causality, VAR Estimation JEL Classification: B23, C13, C32, E22, F21, F23,F43, G15References
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