Journal of CENTRUM Cathedra

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    Benchmarking Peruvian Banks using Data Envelopment Analysis
    (Pontificia Universidad Católica del Perú. CENTRUM, 2011) Charles, Vincent; Kumar, Mukesh; Zegarra, Luis Felipe; Avolio, Beatrice
    Despite the growing literature on bank efficiency worldwide over the last decade, researchers have neglected the Peruvian banking sector. In this paper, the technique of data envelopment analysis (DEA) is used to investigate the efficiency of Peruvian banks for the period 2000 to 2009 to benchmark currently existing banks based on their super-efficiency scores over time. Further, an in-depth analysis of currently existing banks for the period 2008 to 2009 is conducted to check the robustness of DEA efficiency scores and the potential improvement of inputs and outputs for inefficient banks, indicating by how much and in what areas inefficient banks need to improve in order to be efficient. Our finding shows an increasing trend in technical efficiency during the period 2000 to 2009 which gives an indication of an affirmative effect of the reform process in the Peruvian banking sector. On average, the multinational banks are performing better than are domestic banks throughout the period except in 2007, during which a sharp decline in efficiency performance for both the groups was apparent, possibly a result of global financial turmoil. The application of jackknifing analysis with appropriate statistical tools shows the DEA efficiency scores are robust. Among the 14 currently existing banks, Banco Ripley and Banco Santander Peru were the best performers, whereas Banco Azteca was the worst performer, followed by Interbank and Banco de Comercio. Furthermore our findings suggest that inefficient banks require more rigorous policies with respect to the allocation of funds for additional loans as well as other earnings assets. In this way, presently inefficient banks may approach the efficiencies of the best practice banks.
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    Conjoint Analysis and MDS Approach to Brand Improvement of an Aerosol Product
    (Pontificia Universidad Católica del Perú. CENTRUM, 2011) Charles, Vincent; Kumar, Mukesh; Anad, Tulika
    Consumers decide which aerosol product to purchase depending upon its different features or attributes. The importance that consumers give to each attribute, however, differs from one consumer to another. The ability to identify the importance of different attributes of aerosols from the consumers’ perspective is essential for improving an existing brand or launching a completely new brand of aerosol. The purpose of this study is to identify feasible offerings of aerosols from a company’s point of view and the positioning of a comparatively new brand of room air freshener among all other existing brands in the capital city of Bihar (Patna) in India. The study makes use of conjoint analysis and the multidimensional scaling technique to identify (a) the attributes of the room air freshener and their corresponding levels from the consumers’ perspective, (b) the importance of each attribute of the room air freshener and its contribution in influencing the consumers’ purchase decision, (c) the best and the worst combinations of attributes and their levels from the consumers’ point of view, and (d) the potential opportunities for the new brand of room air freshener in the perceptual map of the consumers’ mind.
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    Productivity Growth as The Predictor of Shareholders' Wealth Maximization: An Empirical Investigation
    (Pontificia Universidad Católica del Perú. CENTRUM, 2009) Kumar, Mukesh; Charles, Dr Vincent
    The economic value added (EVA), orginally developed by Stern Stewart & Company, is a relatively new financial tool that is being adopted successfully by many firms. However, evidence of EVA as a predictor of shareholders’ wealth is mixed. This paper empirically verifies the effect of productivity growth, a real missing link between EVA and a firm’s financial health, on shareholders’ wealth maximization. The study uses the firm-level data from the Indian food processing industry for the period 1993-94 to 2005-06 to measure and decompose the Malmquist productivity index into its different components, such as technological change, pure efficiency change and change in scale efficiency, by using the technique of data envelopment analysis (DEA). It further examines the linkage between different components of productivity change and market value added, an indicator of shareholders’ wealth maximization, by using fixed effect regression models. The results reveal that the negative growth in total factor productivity change is mainly due to technological regress on the one hand and increasing inefficiencies of the firms on the other hand. The scale efficiency change is found to be the only source of total factor productivity (TFP) change in the Indian food processing industry. As expected, there exists a positive relationship between the components of TFP change and the market value added (MVA). However, the technological change is found to be the only driving force of market value in the Indian food processing industry, indicating that the stock market does recognize the innovative activity undertaken by firms.