An empirical analysis of the off-balance sheet activities of Indian banks

The paper traces the determinants of off-balance sheet activities in the Indian banking sector. Using data for the period 1996 to 2004, the paper finds that, not only regulatory factors, but also market forces, captured by banks-specific characteristics and macroeconomic conditions are at work in the diffusion pattern of OBS activities. From the regulatory standpoint, while capital adequacy is dominant in case of public sector banks, non-performing assets seem to a prime concern for foreign banks, in addition to the public sector banks. Among others, at the bank-specific level, size is an important consideration for public sector and foreign banks, while profits are a prime mover only for new private banks. Finally, the macroeconomic environment seems to have played an important role in affecting OBS diffusion, more so for public sector and new private banks.Off-balance sheet; regulatory pressure; interest spread; banking; India

The vanishing role of money in the macroeconomy: An Empirical investigation based on spectral and wavelet analysis

The recent de-emphasizing of the role of "money" in both theoretical macroeconomics as well as in the practical conduct of monetary policy sits uneasily with the idea that inflation is a monetary phenomenon. Empirical evidence has, however, been accumulating, pointing to an important leading indicator role for money and credit aggregates with respect to long term inflationary trends. Such a role could arise from monetary aggregates furnishing a nominal anchor for inflationary expectations, from their influence on the term structure of interest rates and from their affecting transactions costs in markets. Our paper attempts to assess the informational content role of money in the Indian economy by a separation of these effects across time scales and frequency bands, using the techniques of wavelet analysis and band spectral analysis respectively. Our results indicate variability of causal relations across frequency ranges and time scales, as also occasional causal reversals.money, inflation, cointegration, causality, decomposition, band spectra, wavelets

Off-balance sheet activities in banking: Theory and Indian experience

The paper examines the OBS activities of Indian banks, highlighting, in particular, thier growth, diversification and the factors leading to thier increased usageoff-balance sheet; banking; India

Credit rating and bank behavior in India: Possible implications of the new Basel accord

The paper examines the impact of credit rating on capital adequacy ratios of Indian state-owned banks using quarterly data for the period 1997:1 to 2002:4. To this end, a multinomial logit model with multi credit rating indicators as dependent variable is estimated. The variables that can impinge upon capital adequacy ratio have been used as explanatory variables. Two separate models — one for long-term credit rating and another for short-term credit rating—have been estimated. The paper concludes that, both for short-term as well as for long-term ratings, capital adequacy ratios are an important factor impinging on credit rating of Indian state-owned banks.banknig; capital adequacy; credit rating; multinomial logit model; India

Basel II and bank lending behavior: some likely implications for monetary policy

The new Basel accord is slated to come into effect in India around 2007 raising the question of how the revised standards will influence bank behaviour. Using a simple theoretical model, it is shown that the revised accord will result in asymmetric differences in the efficacy of monetary policy in influencing bank lending. This will, however, depend on a number of factors, including whether banks are constrained by the risk-based capital standards, the credit quality of bank assets and the relative liquidity of banks’ balance sheets. The basic model is empirically explored using data on Indian commercial banks for the period 1996-2004. The analysis indicates that the effect of a contractionary monetary policy will be significantly mitigated provided the proportion of unconstrained to constrained banks in the system is significantly high.banking; monetary policy; India

The Vanishing Role of Money in the Macroeconomy - An Empirical Investigation Based On Spectral and Wavelet Analysis

The recent de-emphasizing of the role of money in both theoretical macroeconomics as well as in the practical conduct of monetary policy sits uneasily with the idea that inflation is a monetary phenomenon. Empirical evidence has, however, been accumulating, pointing to an important leading indicator role for money and credit aggregates with respect to long term inflationary trends. Such a role could arise from monetary aggregates furnishing a nominal anchor for inflationary expectations, from their influence on the term structure of interest rates and from their affecting transactions costs in markets. Our paper attempts to assess the informational content role of money in the Indian economy by a separation of these effects across time scales and frequency bands, using the techniques of wavelet analysis and band spectral analysis respectively. Our results indicate variability of causal relations across frequency ranges and time scales, as also occasional causal reversals.Money, inflation, Cointegration, Causality, Decomposition, band spectra, wavelets

Relationship banking and the credit market in India: An empirical analysis

Relationship banking based on Okun's "customer credit markets" has important implications for monetary policy via the credit transmission channel. Studies of LDC credit markets from this point of view seem to be scanty and this paper attempts to address this lacuna. Relationship banking implies short-term disequilibrium in credit markets, suggesting the VECM (vector error-correction model) as an appropriate framework for analysis. We develop VECM models in the Indian context (for the period April 1991- December 2004 using monthly data) to analyse salient features of the credit market. An analysis of the ECMs (error-correction mechanisms) reveals that disequilibrium in the Indian credit market is adjusted via demand responses rather than supply responses, which is in accordance with the customer view of credit markets. Further light on the working of the model is obtained through the "generalized" impulse responses and "generalized" error decompositions (both of which are independent of the variable ordering). Our conclusions point towards firms using short-term credit as a liquidity buffer. This fact, together with the gradual adjustment exhibited by the "persistence profiles" provides substantive evidence in favour of "customer credit markets".customer credit markets, monetary policy, co-integration, impulse response, persistence profiles

"RELATIONSHIP BANKING" AND THE CREDIT MARKET IN INDIA : AN EMPIRICAL ANALYSIS

Relationship banking based on Okun's "customer credit markets" has important implications for monetary policy via the credit transmission channel. Studies of LDC credit markets from this point of view seem to be scanty and this paper attempts to address this lacuna. Relationship banking implies short-term disequilibrium in credit markets, suggesting the VECM (vector error-correction model) as an appropriate framework for analysis. We develop VECM models in the Indian context (for the period April 1991- December 2004 using monthly data) to analyse salient features of the credit market. An analysis of the ECMs (error-correction mechanisms) reveals that disequilibrium in the Indian credit market is adjusted via demand responses rather than supply responses, which is in accordance with the customer view of credit markets. Further light on the working of the model is obtained through the "generalized" impulse responses and "generalized" error decompositions (both of which are independent of the variable ordering). Our conclusions point towards firms using short-term credit as a liquidity buffer. This fact, together with the gradual adjustment exhibited by the "persistence profiles" provides substantive evidence in favour of "customer credit markets".

Forecasting interest rates: A Comparative assessment of some second generation non-linear model

Modelling and forecasting of interest rates has traditionally proceeded in the framework of linear stationary models such as ARMA and VAR, but only with moderate success. We examine here four models which account for several specific features of real world asset prices such as non-stationarity and non-linearity. Our four candidate models are based respectively on wavelet analysis, mixed spectrum analysis, non-linear ARMA models with Fourier coefficients, and the Kalman filter. These models are applied to weekly data on interest rates in India, and their forecasting performance is evaluated vis-…-vis three GARCH models (GARCH (1,1), GARCH-M (1,1) and EGARCH (1,1)) as well as the random walk model. The Kalman filter model emerges at the top, with wavelet and mixed spectrum models also showing considerable promise.Interest rates, wavelets, mixed spectra, non-linear ARMA, Kalman filter, GARCH, Forecast encompassing