870 resultados para Bank lending channel


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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics

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Dissertação para obtenção do Grau de Doutor em Engenharia Electrotécnica e Computadores

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Field Lab in Entrepreneurial Innovative Ventures

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Fundação para a Ciência e a Tecnologia (FCT) - SFRH/BD/64337/2009 ; projects PTDC/ECM/70652/2006, PTDC/ECM/117660/2010 and RECI/ECM-HID/0371/2012

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Mutual fund managers increasingly lend their holdings and/or use short sales to generate higher returns for their funds. This project presents a first look into the impact these practices on performance using the performance measures: i) Characteristic Selectivity (CS), the ability of the fund's managers to choose stocks that outperform their benchmarks; ii) Characteristic Timing (CT), the ability of the manager to time the market; iii) and Average Style (AS), the returns from funds systematically holding stocks with certain characteristics. These returns are computed through the DGTW benchmarks. The effect of other variables that have also been shown to impact fund’s returns – total net assets under management, investment styles, turnover and expense ratios – will also be analyzed. I find that managers who use short-sales do not exhibit better stock picking abilities than those who do not, while mutual funds that lend do present higher CS returns. In addition, while lending is not significant for the total performance of a fund, the employment of short-sales and of both short-sales and lending has a negative impact on the fund’s performance.

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This Work Project is a case study on the credit lending process and loan pricing policy of Millennium bcp, one of the main Portuguese banks. The goal of the case study is to provide an opportunity to understand the above mentioned process and policy in a major bank and to explore the issues and interests at play when a relevant credit decision must be taken. I would like to thank Dr. José Miguel Pessanha without whom this project would not have been possible.

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For some years, researchers could not find a clear effect of capital adequacy on the risk profile of banks, as shareholders could increase the riskiness of the assets (qualitative effect), crowding-out the effect of reduced leverage (volume effect). Some shareholders might have the will to increase the riskiness of the assets, but they may lack the power to do so. Considering only ”powerful” shareholders, definitive conclusions were drawn but with constant ownership profile. In this paper I investigate whether there is a significant change in the type of shareholders in response to regulatory capital shocks and, if so, will the banking system be in the hands of more “desired” shareholders. I find that ownership profile responds to a regulatory shock, changing the risk appetite of the ruling power at the bank. I find more banks and the government in the ownership of undercapitalised banks and much less institutional shareholders and free float. I claim that these new shareholders may not the desired ones, given the objective of the regulatory change, as they are associated with a preference for more leverage. One possible explanation for this crowding-out effect is that regulators are trying to contain idiosyncratic risk (more linked to the riskiness of the assets) with a rule that contains systematic risk (capital adequacy). This has a distorting effect on ownership. Another insight can be drawn from the tests: supervisors should be aware of significant ownership movements that cause the crowding-out.

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I test the Duffie, Gârleanu, and Pedersen hypothesis that security prices incorporate expected future securities lending income. To determine whether institutional investors anticipate gains from future lending of securities, I examine their trading behavior around loan-fee increases. The evidence suggests that institutions buy shares in response to an increase in lending fees, and that this could explain the premium associated with high- lending-fee stocks. Expected future lending income affects stock prices, although the effect seems to be attenuated by the negative information that arises from short selling.

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Branding Lab

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It’s impossible to neglect the changes that internet and e-commerce caused in the retail sector, by increasing customers’ expectations and forcing retailers to adapt the business to the new digital era. Internet is characterized by the increase in accessibility to everyone, which can be good or not so. For instance, luxury products rely on the sense of exclusivity, instead of being accessible to everyone. Hence, internet represents a challenge for luxury brands once, although they are able to provide a fullness service to their customers, they need to maintain the exclusiveness in which luxury is sustained. Consequently, the appearance of omni-channel was more than a challenge for the luxury sector, in particular, given the need to provide a full integrated experience through different channels. The aim of this dissertation is to find out how important is omni-channel, even in the luxury industry, and how it’s actually implemented based on the case of one of the most successful companies on luxury fashion e-commerce industry – Farfetch. Even though the company started in London, its founder is a Portuguese entrepreneur, and it’s in Portugal where most of its employees work, divided in two offices – Guimarães e Porto. Therefore, a literature review was written on relevant concepts and ideas about luxury, e-commerce and the different channels’ approaches. There were formulated five propositions that were after discussed according to the information gathered about the company and its strategies. In the end, it was possible to identify which propositions are in accordance with theory and which are not, as well as understand which are the most important strategies and trends about omni-channel in the luxury fashion e-commerce sector.

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Double Degree

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Customer lifetime value (LTV) enables using client characteristics, such as recency, frequency and monetary (RFM) value, to describe the value of a client through time in terms of profitability. We present the concept of LTV applied to telemarketing for improving the return-on-investment, using a recent (from 2008 to 2013) and real case study of bank campaigns to sell long- term deposits. The goal was to benefit from past contacts history to extract additional knowledge. A total of twelve LTV input variables were tested, un- der a forward selection method and using a realistic rolling windows scheme, highlighting the validity of five new LTV features. The results achieved by our LTV data-driven approach using neural networks allowed an improvement up to 4 pp in the Lift cumulative curve for targeting the deposit subscribers when compared with a baseline model (with no history data). Explanatory knowledge was also extracted from the proposed model, revealing two highly relevant LTV features, the last result of the previous campaign to sell the same product and the frequency of past client successes. The obtained results are particularly valuable for contact center companies, which can improve pre- dictive performance without even having to ask for more information to the companies they serve.