29 resultados para Indian banks, efficiency, truncated regression, bootstrap


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Deregulation, innovations in mobile and wireless technologies and media convergence, together with the rapid diffusion of the Internet, have opened up strategic business opportunities in the financial sector. With deregulation removing entry barriers, an increasing number of online banks are threatening the market share of ‘bricks and mortar’ banks. To survive this competition, and to leverage the new opportunities of online and mobile banking facilitated by the Internet, many banks have adapted a hybrid, ‘clicks and mortar’ model, to increase their profitability while reducing transaction costs. In this paper, we report the results of a preliminary analysis based on a few major banks in Australia and India, two diverse economies, to reveal some interesting insights.

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This paper conducts productivity and efficiency analysis of banks operating in Australia since the deregulation of the Australian financial system in early 1980s. Applying data envelopment analysis (DEA), with a moving window, the Malmquist indices are determined in order to investigate the levels of and the changes in the efficiency of Australian banks over the period from 1983 to 200 I. The DEA window analysis is adopted in order to relieve the small sample problem that in previous studies has proved problematic in the study of the Australian banking sector. The pal1icular window used in this case has been carefully designed to ensure the robustness of the efficiencies scores to changes in the window width. A second-stage regression is conducted by using the unconditional bootstrap approach suggested by Xue and Harker (1999) to overcome the dependency and heteroskedasticity of DE A efficiency scores. The empirical results demonstrate the effect of deregulation on the performance of individual banks, banks of different organizational types and the entire Australian banking sector.

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This paper explores potential efficiency and unbiasedness as well as the degree of efficiency in stock index futures of an emerging market using both monthly and daily data. Besides analyzing efficiency and unbiasedness with cointegration and error correction model, the degree of efficiency is further investigated after explicitly modeling the underlying state of the market (expansion or contraction) through the first-order Markov switching set-up. The results show that a relatively longer two-month horizon is more effective in eliminating arbitrage opportunities than the short run (one-month and daily) futures.

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In recent years the provision of vocational education and training has been recognised as having a vital role to play in improving Australia's economic performance and in alleviating the hardship of the long term unemployed. The importance of education and training gives rise to the issue of operating educational institutions with a high level of efficiency. In this article, Data Envelopment Analysis is used to derive estimates of the technical and scale efficiency of Victorian Technical and Further Education Institutes in 1995. The results reveal substantial dispersion in technical and scale efficiencies. Regression analysis is used to identify variables which are associated with technical inefficiency.

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This paper estimates technical efficiency of Australian textile and clothing firms based on the data obtained from the Business Longitudinal Survey (BLS) conducted by the Australian Bureau of Statistics (ABS). Using a Cobb Douglas stochastic production frontier the paper examines firm level technical efficiency in the time varying inefficiency effect model with technical inefficiency effects assumed as an independently distributed truncated normal variable. Estimates of the production frontier revealed significant but small elasticities of labour and capital for textile and clothing firms, respectively, and a negative (but insignificant) Hicks neutral technical change for both. Estimated coefficients of the explanatory variables for inefficiency effects indicated that technical efficiency varied significantly according to firms’ age, size, capital intensity, proportion of non-production to total workers and type of legal status. Predicted firm specific efficiency varied from 16 per cent to 95 per cent and mean efficiency ranged between 30 to 70 per cent. In view of these results policies have been suggested to improve technical efficiency of the firms as well as productivity growth of the sub sectors.

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n two independent experiments, the effects of dietary inclusion of canola and linseed oil were evaluated in juvenile Murray cod (Maccullochella peelii peelii, Mitchell) over a 112-day period. In each experiment, fish received one of five semi-purified diets in which the dietary fish oil was replaced with canola oil (Experiment A) or linseed oil (Experiment B) in graded increments of 25% (0–100%). Murray cod receiving the graded canola and linseed oil diets ranged in final weight from 112.7 ± 7.6 to 73.8 ± 9.9 g and 93.9 ± 3.6 to 74.6 ± 2.2 g, respectively, and exhibited a negative trend in growth as the inclusion level increased. The fatty acid composition of the fillet and liver were modified extensively to reflect the fatty acid composition of the respective diets. Levels of oleic acid (18:1 n-9) and linoleic acid (18:2 n-6) increased with each level of canola oil inclusion while levels of α-linolenic acid (18:3 n-3) increased with each level of linseed oil inclusion. The concentration of n-3 highly unsaturated fatty acids in the fillet and liver decreased as the amount of vegetable oil in the diets increased. It is shown that the replacement of fish oil with vegetable oils in low fish meal diets for Murray cod is possible to a limited extent. Moreover, this study reaffirms the suggestion for the need to conduct ingredient substitution studies for longer periods and where possible to base the conclusions on regression analysis in addition to anova.

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In this paper we use Data Envelopment Analysis (DEA) to estimate technical efficiency for a sample of 1742 Australian dairy farms. Bearing in mind data limitations we find that average technical efficiency is 59 per cent, but there are significant regional differences. These results reflect differences in State level milk marketing arrangements in place before dairy deregulation in July 2000 providing an ex post explanation for the changing composition of dairy farms in Australia. We also examine two important technical aspects of DEA implementation. First, how changes in model input specification alter the relative performance of farms. Second, we employ a simple bootstrap procedure to show how changes in sample size affects estimates of technical efficiency. These results have simple but important implications for the use of DEA as an industry-benchmarking tool.

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Against the background of increasing competition from globalization and the trend towards consolidation, diversification and rationalization, the study of efficiency is most relevant in the Malaysian Islamic banking context, where all domestic commercial banks operate Islamic banking schemes. Using the non-parametric method of Data Envelopment Analysis (DEA), this study investigates the recent efficiency of the Malaysian Islamic Banking system. The attributions of technical efficiency (utilization of capacity) and scale efficiency (optimality of scale achieved) are identified. Further, Islamic Banking Schemes operating under the dual banking system of foreign and domestic commercial banks were benchmarked to the country's two full-fledged Islamic banks to provide insight of the relative efficiencies. Amidst an overall improvement in TE and SE, it was noted that foreign banks (FB) increased efficiency levels to achieve full efficiency over the six-year period, and domestic banks (DB) followed by smaller improvement while the fully-fledged Islamic banks (FFIE) experienced a general decline in efficiency which was solely attributed to scale inefficiency. The findings provide useful guidelines for policy implications and may also assist banks concerned with their strategic planning with regard to the future of Islamic banking.

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With the advent of widely-accepted eBusiness activities, many banks have floated dot.com entities to create a presence on the Internet and take advantage of its power and reach. Like many other businesses, banks expected an increase in market capitalisation as a result of their dot.com floats, perceived broadly as a measure of growing profitability. Despite the negative publicity that the recent spate of dot.com crashes has generated, banks seem to continue floating online spin-offs. Our exploratory study investigates this phenomenon, studying the drivers for change in the evolution of the banking sector, and the move towards electronic banking. We focussed on two economies – Australia and India – to aggregate the major factors in this evolution from the perspective of two disparate economies.

The paper describes our qualitative, document-based investigation of the Australian and Indian banking sectors, and subsequent quantitative analysis of the impact of dot.com floats on market capitalisation within this market sector. We then describe the effect of applying both Transaction Cost Economics to our findings, which indicates that the cost of transacting business has been reduced overall by the creation of dot.com entities; and “catch-up, fall-behind, forge ahead” theory to gain an economic perspective. The paper provides both practical assistance for banks in making decisions regarding e-portfolios, as well as for policy makers in the economies reviewed; and has the potential to contribute to academic research into eBanking more generally.

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It has become common in the literature to compare India and China, two remarkably growing economies, but these comparisons often do not take into account the institutional differences between these two countries. We have in this paper done a comparative analysis of banking institutions in China and India taking into accounts the contentious issue of nonperforming loans along with the issue of use of banks to provide countervailable subsidies to exporting organizations. Our research shows that the efficiency differences between banks in these two countries can be directly related to institutional difference and any comparative study between these countries not taking into consideration these institutional differences may lead to misleading results.

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Context : Designing an appropriate survey protocol requires understanding of how capture rates of target species may be influenced by factors other than on-ground abundance, such as weather conditions or seasonality. This is particularly relevant for ectotherms such as reptiles, as activity can be affected by environmental conditions such as ambient temperature.
Aims : The present study examines factors affecting capture success of reptiles in semi-arid environments of southern Australia, and addresses the following two main questions: (1) what is the influence of weather and seasonal factors on capture rates of reptiles, and (2) what are the implications for developing an effective protocol for reptile surveys?
Methods : We surveyed reptiles using pitfall traps in spring and summer of 2006/07 and 2007/08 at sites (n = 280) throughout the Murray Mallee region of south-eastern Australia. We used mixed-effect regression models to investigate the influence of seasonal and weather-related variables on species’ capture success.
Key results : Total captures of reptiles, and the likelihood of capture of 15 reptile species, increased with rising daily temperature. Greater numbers of individual species were captured during spring than in summer, even though temperatures were cooler. This probably reflects greater levels of activity associated with breeding. Several species were more likely to be captured when maximum or minimum daily temperatures exceeded a certain level (e.g. Lerista labialis, Delma australis, Nephrurus levis). Other factors, such as rainfall and moon phase, also influenced capture success of some species.
Conclusions : Surveys for reptiles in semi-arid environments are likely to capture the greatest diversity of species on warm days in late spring months, although surveys on hot days in summer will enhance detection of particular species (e.g. Morethia boulengeri, Varanus gouldii). We recommend trapping during periods with maximum temperatures exceeding 25–30C and minimum overnight temperatures of 15C. Finally, trapping during rainfall and full-moon events will maximise chances of encountering species sensitive to these variables (blind snakes and geckoes).
Implications : Selecting the most favourable seasonal and weather conditions will help ensure that reptile surveys maximise the likelihood of capturing the greatest diversity of reptiles, while minimising trap-effort required.