869 resultados para bank credit
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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In April 1998, the RBI, the Indian central bank, formally announced a shift in its policy framework from monetary targeting to a multiple indicator approach, and since then, under this framework, the bank has considered a range of economic and financial variables as policy indicators for drawing policy perspectives. This paper aims to examine the effectiveness of this current policy framework in India by analyzing the causal relationships of each indicator variable on the objective variables. The results reveal that, except for bank credit, all indicator variables considered in this study have a causal relationship with at least either output or price level, suggesting that most preannounced economic and financial variables have served as useful policy indicators under the multiple indicator approach.
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El presente documento está enmarcado en elMáster de Consultoría en Gestión de Empresas de laUniversidad Politécnica deMadrid y la Asociación de Empresas de Consultoría como Trabajo de Fin deMáster. A lo largo del estudio, se introduce la problemática a la que se vienen enfrentando las pymes españolas en los últimos años, debido a la reducción del crédito bancario sufrida en nuestro importante en un país con una tradicional dependencia de la financiación bancaria, necesita encontrar soluciones en las fuentes alternativas de financiación que se vienen desarrollando internacionalmente. De esta forma, se realiza un recorrido por las distintas alternativas de financiación, haciendo un repaso de su actividad en España y en países de referencia internacional, y analizando las posibilidades de futuro de cada una de ellas en la realidad de nuestro país. ---ABSTRACT--This document is part of the Master in Business Management and Consultancy of the Universidad Politécnica de Madrid and the Asociación de Empresas de Consultoría as Master Degree Final Project. The problem that Spanish SMEs are facing, due to recent bank credit decrease in our country, is introduced throughout the study. This problem, which is specially critical in a country with a high bank financing tradition, needs to be solved with the alternative financing sources that have been raised internationally. Hence, this document offers an overview of the different financing alternatives, reviewing their activity in Spain and other countries taken as reference, and an analysis of the possibilities that these alternatives may bring to our country in the near future.
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The issue: The European Union's pre-crisis growth performance was disappointing enough, but the performance has been even more dismal since the onset of the crisis. Weak growth is undermining private and public deleveraging,and is fuelling continued banking fragility. Persistently high unemployment is eroding skills, discouraging labour market participation and undermining the EU’s long-term growth potential. Low overall growth is making it much tougher for the hard-hit economies in southern Europe to recover competitiveness and regain control of their public finances. Stagnation would reduce the attractiveness of Europe for investment. Under these conditions, Europe's social models are bound to prove unsustainable. Policy Challenge: The European Union's weak long-term growth potential and unsatisfactory recovery from the crisis represent a major policy challenge. Over and above the structural reform agenda, which vitally important, bold policy action is needed. The priority is to get bank credit going. Banking problems need to be assessed properly and bank resolution and recapitalisation should be pursued. Second, fostering the reallocation of factors to the most productive firms and the sectors that contribute to aggregate rebalancing is vital. Addressing intra-euro area competitiveness divergence is essential to support growth in southern Europe. Third, the speed of fiscal adjustment needs to be appropriate and EU funds should be front loaded to countries in deep recession, while the European Investment Bank should increase investment.
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The government debt crisis, erupted in the Eurozone in 2009, nearly led to the collapse of European monetary union. Now that this has been averted, the question is what should be done to make the Eurozone sustainable in the long run. The survival of the Eurozone hinges on the capacity of its leaders to improve the eurozone's governance. With the exception of Greece, the root cause of the government debt crisis has little to do with the poor performance of the SGP, rather, with unsustainable debt accumulation by private actors. Also, the method of convergence implicit in the SGP has not worked well – macroeconomic divergences have stubbornly remained for nearly a decade and several countries experienced boom and bust dynamics. Although strong declines in real interest rates may explain part of the story (but e.g. Italy did not experience boom & bust), self-fulfilling waves of optimism and pessimism which might be called 'animal spirits' and are of mainly national origin, seem a good candidate for explanation. These national animal spirits endogenously trigger credit expansion and contraction. It follows that (national) movements of credit ought to be under much firmer control and this is up to the monetary authorities, including the ECB. Critical recommendations for better governance of the Eurozone should therefore combine credible measures to maintain fiscal discipline over the medium term with such instruments as minimum reserve requirements to control the growth of bank credit as well as minimum reserve requirements in different national banking systems. Finally, the idea of adding more sanctions to the SGP may be ill-conceived since, in future, it might pre-empt national governments to come to the rescue of banks (under credible threats of contagion) and/or prevent a downward spiral in economic activity.
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This paper aims at devising scenarios for the development of the financial system in the southern and eastern Mediterranean countries (SEMCs), for the 2030 horizon. The results of our simulations indicate that bank credit to the private sector, meta-efficiency and stock market turnover could reach at best 108%, 78% and 121%, respectively, if the SEMCs adopt the best practices in Europe. These scenarios are much higher than those of the present levels in the region but still lower than the best performers in Europe. More specifically, we find that improving the quality of institutions, increasing per capita GDP, opening further capital account and lowering inflation are needed to enable the financial system in the region to converge with those of Europe.
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Small and medium-sized (SMEs) enterprises in Hungary account for 99.9% of all enterprises and for more than two thirds of employment. Since transformation started in 1989 they have been the only net makers of employment. In spite of such remarkable importance, results have been modest compared to the amount of Hungarian and foreign, mostly EU resources poured into the sector. Less than a sixth of SMEs are fast-growing and only a tiny minority of SMEs make use of bank credit. According to various indicators and in spite of bright spots, the SMEs context is problematic and SMEs features are often unfavourable and hardly competitive. In recent years the goal of upgrading SMEs and strengthening their contribution to the economy has acquired central position among policy goals and activity. Although progress has been made, the results are weak and in some cases drawbacks have happened. The paper starts from analysing the SMEs situation, reviews the main features of the recently implemented policy strategies, assesses whether these strategies are appropriate to address the situation, including the effects of the domestic and international crises, and considers whether the targets pursued are realistic and important, and the instruments considered in line with the targets
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Shifts in credit supply could have a bearing on house prices e.g. through financial innovations and changes in regulation independently of the existence of a bank lending channel of monetary policy. This paper assesses the responses of US house prices to an exogenous credit supply shock and compares them with the effects from variations in credit supply associated with a bank lending channel. The contribution of the study is twofold. First, innovations in credit supply are identified using a mortgage mix variable, thereby accounting for the market-based financial intermediaries. As a robustness check a survey variable of bank lending standards for mortgage loans is also used. Second, the policy-induced credit supply effect on house prices is disentangled and compared with the effect from an exogenous credit supply shock. It is shown that in the first 3 years credit supply shocks affect house prices exogenously rather than through the bank lending channel. Monetary policy has still a large impact on house prices, even when the bank lending channel is ‘turned off’.
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This paper examines the efects of the transfer of credit risk associated with bank loans. We are interested in (a) whether the transfer of credit risk has any impact on the intensity with which banks monitor their borrowers and (b) whether credit risk transfer infuences the amount of financing that is provided to firms in an economy. Our model first develops conditions under which bank finance is available to firrms, mainly in the spirit of Holmstrom/Tirole (1997). We then introduce projects with uncorrelated pay-offs and argue that one possible economic rationale for credit risk transfer is diversi¯cation. We analyze whether and how within this scenario the transfer of the credit risk of loans changes a bank's incentives to monitor its debtors. Finally we investigate whether and what kind of impact this may have on the amount of ¯nancing available to firms in an economy. Our results indicate that the monitoring incentives are being eroded indeed and that credit risk transfer can increase the overall amount of obtainable funds in an economy.
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Starting from the idea that economic systems fall into complexity theory, where its many agents interact with each other without a central control and that these interactions are able to change the future behavior of the agents and the entire system, similar to a chaotic system we increase the model of Russo et al. (2014) to carry out three experiments focusing on the interaction between Banks and Firms in an artificial economy. The first experiment is relative to Relationship Banking where, according to the literature, the interaction over time between Banks and Firms are able to produce mutual benefits, mainly due to reduction of the information asymmetry between them. The following experiment is related to information heterogeneity in the credit market, where the larger the bank, the higher their visibility in the credit market, increasing the number of consult for new loans. Finally, the third experiment is about the effects on the credit market of the heterogeneity of prices that Firms faces in the goods market.
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Includes bibliography
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Statistical methods have been widely employed to assess the capabilities of credit scoring classification models in order to reduce the risk of wrong decisions when granting credit facilities to clients. The predictive quality of a classification model can be evaluated based on measures such as sensitivity, specificity, predictive values, accuracy, correlation coefficients and information theoretical measures, such as relative entropy and mutual information. In this paper we analyze the performance of a naive logistic regression model (Hosmer & Lemeshow, 1989) and a logistic regression with state-dependent sample selection model (Cramer, 2004) applied to simulated data. Also, as a case study, the methodology is illustrated on a data set extracted from a Brazilian bank portfolio. Our simulation results so far revealed that there is no statistically significant difference in terms of predictive capacity between the naive logistic regression models and the logistic regression with state-dependent sample selection models. However, there is strong difference between the distributions of the estimated default probabilities from these two statistical modeling techniques, with the naive logistic regression models always underestimating such probabilities, particularly in the presence of balanced samples. (C) 2012 Elsevier Ltd. All rights reserved.