Mergers and Acquisitions Between Mutual Banks in Italy :An analysis of the effects on performance and productive efficiency

The paper is aimed at testing the hypothesis that the M&A wave over the past ten years has increased the level of efficiency of co-operative credit banks (CCBs), both in terms of overall performance and productive efficiency. The logical development is hinged on two steps: 1) an explorative analysis which is based on the observation of balance sheet ratios by quantiles, 2) a DEA application for estimating productive efficiency scores. The analysis refers to 94 CCBs which have been involved in M&As over the period 1995-1998 and is carried out on both merged and non-merged banks, either before concentration or in the subsequent years.

Efficiency and productivity in banks developed through Data Envelopment Analysis: a cross country-perspective

The paper analyzes the efficiency and productivity of the most important banking system from 2006-08 and tries to address the long-term challenges posed by the global financial crisis. A non-parametric frontier analysis (DEA) is applied to estimate the relative efficiency of banks segments in six industrial countries. A Malmquist decomposition is then carried out in order to separate efficiency change from technical change. Based on a large sample of banks, our findings reveal that banking efficiency has decreased since 2007. If in 2006 eight of the 13 banking sectors included in the study were situated on the efficiency frontier, in 2008 only three of them succeeded in reaching this frontier. In what concerns the productivity we observe an obvious tendency of aggravation. Therefore this index knew a decrease of 9.1% in 2007 in comparison with 2006 and it also continued to decrease in 2008.bank performance, cost efficiency, productivity, data envelopment analysis, Malmquist Index

Resampling DEA estimates of investment fund performance

Data envelopment analysis (DEA) is attractive for comparing investment funds because it handles different characteristics of fund distribution and gives a way to rank funds. There is substantial literature applying DEA to funds, based on the time series of funds' returns. This article looks at the issue of uncertainty in the resulting DEA efficiency estimates, investigating consistency and bias. It uses the bootstrap to develop stochastic DEA models for funds, derive confidence intervals and develop techniques to compare and rank funds and represent the ranking. It investigates how to deal with autocorrelation in the time series and considers models that deal with correlation in the funds' returns. © 2012 Elsevier B.V. All rights reserved

Agricultural Economics Education in Ukrainian Agricultural Universities: An Efficiency Analysis Using Data Envelopment Analysis

Ukraine's transition from a centrally-planned to a market economy has had a profound effect upon its agricultural sector and agricultural universities. A substantial reduction in state financing has forced universities to adopt a range of survival strategies, with varying degrees of success. In this paper we use data envelopment analysis to examine the technical efficiency of 44 agricultural economics programs from 19 Ukrainian universities during the 2002/03 academic year. Our empirical results indicate wide disparities in performance, ranging from 36% to 100% technical efficiency. A second-stage analysis suggests that factors such as student demand, commercial activities and staff quality help explain a portion of this variation.higher education, Ukraine, efficiency, data envelopment analysis, Teaching/Communication/Extension/Profession, I21, C14, Q16,

Assessing the performance of technology transfer offices: An analysis of the relevance of TTO’s outcome configuration and aspiration performance

The paper investigates the technology-transfer productivity of Spanish public universities. The proposed approach allows the development of a framework that matches universities’ technology transfer concerns with the need to accurately analyze the role of the outcome configuration of technology transfer offices (TTOs). We analyze technology transfer productivity of Spanish universities during 2006-2011 by computing total factor productivity models rooted in non-parametric techniques, namely the Malmquist index. The results confirm that technology transfer productivity is affected by changes in the configuration of the TTO’s outcome portfolio that result from benchmarking own and market peers’ performance levels. While benchmarking own performance levels facilitates the exploitation of internal resources and yields superior productivity results, changes in TTO’s portfolio based on comparisons with market peers might generate greater operational costs that negatively impact productivity.Postprint (published version

Efficiency of Financial Institutions: International Survey and Directions for Future Research

This paper surveys 130 studies that apply frontier efficiency analysis to financial institutions in 21 countries. The primary goals are to summarize and critically review empirical estimates of financial institution efficiency and to attempt to arrive at a consensus view. We find that the various efficiency methods do not necessarily yield consistent results and suggest some ways that these methods might be improved to bring about findings that are more consistent, accurate, and useful. Secondary goals are to address the implications of efficiency results for financial institutions in the areas of government policy, research, and managerial performance. Areas needing additional research are also outlined.

Data envelopment analysis models of investment funds

This paper develops theory missing in the sizable literature that uses data envelopment analysis to construct return-risk ratios for investment funds. It explores the production possibility set of the investment funds to identify an appropriate form of returns to scale. It discusses what risk and return measures can justifiably be combined and how to deal with negative risks, and identifies suitable sets of measures. It identifies the problems of failing to deal with diversification and develops an iterative approximation procedure to deal with it. It identifies relationships between diversification, coherent measures of risk and stochastic dominance. It shows how the iterative procedure makes a practical difference using monthly returns of 30 hedge funds over the same time period. It discusses possible shortcomings of the procedure and offers directions for future research. © 2011 Elsevier B.V. All rights reserved

Data envelopment analysis in financial services: a citations network analysis of banks, insurance companies and money market funds

Development and application of the data envelopment analysis (DEA) method, have been the subject of numerous reviews. In this paper, we consider the papers that apply DEA methods specifically to financial services, or which use financial services data to experiment with a newly introduced DEA model. We examine 620 papers published in journals indexed in the Web of Science database, from 1985 to April 2016. We analyse the sample applying citations network analysis. This paper investigates the DEA method and its applications in financial services. We analyse the diffusion of DEA in three sub-samples: (1) banking groups, (2) money market funds, and (3) insurance groups by identifying the main paths, that is, the main flows of the ideas underlying each area of research. This allows us to highlight the main approaches, models and efficiency types used in each research areas. No unique methodological preference emerges within these areas. Innovations in the DEA methodologies (network models, slacks based models, directional distance models and Nash bargaining game) clearly dominate recent research. For each subsample, we describe the geographical distribution of these studies, and provide some basic statistics related to the most active journals and scholars

Lowland farming system inefficiency in Benin (West Africa):

This paper uses a directional distance function and a single truncated bootstrap approach to investigate inefficiency of lowland farming systems in the Benin Republic. First, we employed a dual approach to estimate and decompose short-run profit inefficiency of each farming system into pure technical, allocative and scale inefficiency and also into input and output inefficiency. Second, an econometric analysis of factors affecting the inefficiency was generated using a single truncated bootstrap procedure to improve inefficiency analysis statistically and obtain consistent estimates. In the short run, scale, allocative and output inefficiency were found to be the main sources of inefficiency. Based on inefficiency results, the inefficiency of lowland farming systems is the most diverse. Compared to a vegetable farming system, technical inefficiency is significantly higher if farmers switch to a rice farming system. Scale, allocative, output, and input inefficiency are significantly lower with an integrated ricevegetable farming system and there was high prevalence of increasing returns to scale in the integrated rice-vegetable farming system. Water control and lowland farming systems are complements and play a significant role in the level of inefficiency. Input inefficiency shows the difficulty that the producers face in adjusting the quality and quantity of seeds and fertilizers. The paper provides empirical support for efforts to promote an integrated rice-vegetable farming system in West Africa lowlands to increase food security. Keywords Lowlands . Inefficiency . Bootstrap . Beni