Linking and Weighting Efficiency Estimates with Stock Performance in Banking Firms

The purpose of this paper is to contribute further evidence on bank efficiency by defining alternative measures of costs when estimating efficiency and competitive viability by linking the results of efficiency estimates to market returns of financial institutions. Given a series of functions (production costs, opportunity costs of capital with systematic risk, opportunity cost of capital with specific risk, and branch network distribution), we estimate alternative partial measures of bank efficiency with DEA. Assuming that these functions are related to market returns on shares, an estimation of the relative importance of each of the functions is carried out, considering an additional initially unknown function which can be attributed to individual differences not accounted for in the previous four definitions. Due to the nature of the model, strong collinearity may be expected among efficiency measures. With the aid of a tabu search procedure, artificial instrumental variables are generated which avoid collinearity and permit the isolation of the underlying relationships. Results are applied to all Spanish banks quoting on the stock exchange.

Assessing the Competitiveness of International Financial Services in Particular Locations: A Survey of Methods and Perspectives

The International Financial Services (IFS) industry is restructuring internally and by location. This paper outlines the economic forces and analytical methods that may be applied to examine the economic drivers of these processes as ever more cities, particularly in East Asia, are vying to attract IFS providers and their clients. The ICT revolution has made those IFS that can be commoditized footloose in search of cost efficiency. High value-added financial services, however, will continue to be developed and coordinated in a few major IFS centers that have invested in, or capitalized on, regional or global advantages for themselves and their clients. The resulting pattern of functional fragmentation and geographic dispersal may facilitate analyses of the competitiveness of different lines of the financial services business in a particular location by methods such as Data Envelopment and Stochastic Frontier Analysis. These forms of comparative efficiency analysis have recently been questioned and their results reinterpreted.offshore centers, international financial services, Data Envelopment Analysis, Stochastic Frontier Analysis

Performance in Consumer Financial Services Organizations: Framework and Results from the Pilot Study

Financial services comprise over 4 percent of the gross domestic product of the United States and employ over 5.4 million people. By offering vehicles for investment of savings, extension of credit and risk management, they fuel the modern capitalistic society. While the essential functions performed by the organizations that make up the financial services industry have remained relatively constant over the past several decades, the structure of the industry has undergone dramatic change. Liberalized domestic regulation, intensified international competition, rapid innovations in new financial instruments and the explosive growth in information technology fuel this change. With this change has come increasing pressure on managers and workers to dramatically improve productivity and financial performance. This paper summarizes the first year of a multi-year effort to understand the drivers of performance in financial services organizations. Financial services are the largest single consumer of information technology in the economy, investing $38.7 billion dollars in 1991 (National Research Council, 1994). While this investment has had a profound effect on the structure of the industry and the products it provides, its effect on financial performance of the industry remains elusive. Why this "productivity paradox" (Brynjolfsson and Hitt,1993) exists is an important part of this project. The authors describe the differences in productivity in services from manufacturing. In the service world, the consumer co-produces the product with the firm, ofte nadding labor to the creation of the service. In addition, the scope of the service enterprise typically is quite vast, with components of the service production process being both producers and deliverers of the service. In addition, the quality of the services provided is forever changing. Thus, the authors suggest that productivity gains from human resource improvements or technology investments may not show up in standard performance measures, but may rather be used to improve the quality of the service provided. What appears to be a stagnation in productivity may actually be an increase in value delivered to the customer. Delivering value to the customer may provide the institution with sales opportunities and much needed information about the institution's customer base. The pilot survey conducted by the authors examines the relationship between technological advancement and the relational part of service delivery by studying time spent with the customer in relation to technological sophistication and time spent on the entire delivery process. The authors adopt the view that processes are the central "technology" of an organization. As with any technology, the process must be maintained. After a process has reached its useful life, it should be scrapped or rebuilt. Thus, the authors suggest that researchers should take a life-cycle view of processes when undertaking efficiency studies. The authors rely heavily on a process-oriented methodology in their analysis of performance drivers in financial services. The study does not focus on traditional measures of productivity or financial performance. Rather, the authors base comparisons on intermediary measures which evaluate the drivers of performance from the perspective of all participants in the co-productive process. This pilot study starts with consumer financial services and in particular, retail banking. The authors review the relevant literature on financial services performance and then propose a conceptual framework for the study. The framework assumes that industry conditions and firm strategy are given. The authors focus is to examine the components of performance that managers can affect, given a strategy and industry operating conditions. Thus, their initial focus is guided by their desire to direct attention to issues of implementation and their effects on performance. The authors attempt to bridge the gap between traditional productivity measures and difficult-to-measure financial performance by developing a set of value creation components as an intermediary set of performance indicators. Based on pilot interviews, these indicators reflect effective performance in ways that are more meaningful than the more traditionalmeasure of productivity, as they are the goals toward which bank management strives. The key values the study attempts to measure are customer convenience, precision, efficient cost structure, adaptability and market penetration. The survey conducted by the research team benchmarks two types of management decisions that are presumed to drive these outcomes. The first set of management choices are implementation choices, human resources choices, technology implementation processes and product/servicedelivery processes. The second set of choices relates to management infrastructure, resource management processes, the information architecture of the firm, the performance management and control systems and the organizational structure of the firm. Based on interviews and the work of previous productivity studies, the research team developed a pilot survey focused on the practices of the functional areas, business lines, product groups and the retail distribution network. The pilot measured the outcomes and choices made by managers in seven large commercial banks. The pilot results will lead to a large scale survey of practices for the entire retail banking sector. Based on early pilot results, the researchers concluded that managers in consumer financial services firms typically assume that improvement in one area of performance is largely at the expense of decreased performance in other areas. The authors believe this is only partly true. Based on the pilot results, the authors believe that better management practices can move outcomes in a number of areas simultaneously. Through effective process design, use of technology and management of human resources, institutions can improve performance in multiple categories. The successful financial services organizations will be those which find processes and practices that enhance multiple measures of performance. The results of the large scale survey of practices will be available in early 1996.

Fixed cost allocation based on the principle of efficiency invariance in two-stage systems

Fixed cost allocation among groups of entities is a prominent issue in numerous organisations. Addressing this issue has become one of the most important topics of the data envelopment analysis (DEA) methodology. In this study, we propose a fixed cost allocation approach for basic two-stage systems based on the principle of efficiency invariance and then extend it to general two-stage systems. Fixed cost allocation in cooperative and noncooperative scenarios are investigated to develop the related allocation plans for two-stage systems. The model of fixed cost allocation under the overall condition of efficiency invariance is first developed when the two stages have a cooperative relationship. Then, the model of fixed cost allocation under the divisional condition of efficiency invariance wherein the two stages have a noncooperative relationship is studied. Finally, the validation of the proposed approach is demonstrated by a real application of 24 nonlife insurance companies, in which a comparative analysis with other allocation approaches is included

Analyzing Internal Efficiency Dynamics Of Turkish Banks: Activity Based Multi-Objective Dynamic DEA Model And Its Application

Efficiency measurement is an important analysis for institutions in order to investigate their performance comparatively. On the other hand, evaluating efficiency of institutions carrying out more than one activity using common resources is important management problems. Since both efficiency and priorities may change in time, the problem set is getting more complex.Sub-activities of total system (Decision Making Sub-Units/DMSU) of institutions may act in different ways since they have different priorities or goals. In addition, factors effecting efficiencies of these DMSUs may differ. Each DMSUs' countermeasures can vary in order to reach the efficient frontier. Therefore, total system efficiency results may not represent the DMSUs' efficiencies.In line with these inferences, the aim of this study is to analyze efficiency differences between DMUs and DMSUs in terms of their behaviors, efficiencies and countermeasures in a dynamic manner. A hybrid non-parametric dynamic efficiency evaluation model, "Multi-Activity Window Data Envelopment Analysis (MA-WDEA)", is developed first[1]. Then, internal dynamics of DMUs and DMSUs are analyzed via dynamic returns to scale(RTS) analysis and Tobit regression models. Both analysis are established on efficiency results of the MA-WDEA model.The proposed process is applied to measure the performance of Turkish banking system. The results first show that MA-WDEA is a suitable tool to measure efficiency trends of DMUs/DMSUs. There exist important differences among Turkish banks with respect to their operating and non-operating activities’ efficiencies. The results of the dynamic RTS and regression models also show that behavioral attitudes of DMUs and DMSUs are significantly different.[1] The developed hybrid model is first presented in 3rd International Conference on Governance, Management and Entrepreneurship in Crotia by Kaya and Cinar, (2015)

The state of the art development of AHP (1979-2017): A literature review with a social network analysis

Although many papers describe the evolution of the analytic hierarchy process (AHP), most adopt a subjective approach. This paper examines the pattern of development of the AHP research field using social network analysis and scientometrics, and identifies its intellectual structure. The objectives are: (i) to trace the pattern of development of AHP research; (ii) to identify the patterns of collaboration among authors; (iii) to identify the most important papers underpinning the development of AHP; and (iv) to discover recent areas of interest. We analyse two types of networks: social networks, that is, co-authorship networks, and cognitive mapping or the network of disciplines affected by AHP. Our analyses are based on 8441 papers published between 1979 and 2017, retrieved from the ISI Web of Science database. To provide a longitudinal perspective on the pattern of evolution of AHP, we analyse these two types of networks during the three periods 1979?1990, 1991?2001 and 2002?2017. We provide some basic statistics on AHP journals and researchers, review the main topics and applications of integrated AHPs and provide direction for future research by highlighting some open questions

Centralised resource allocation using Lexicographic Goal Programming. Application to the Spanish public university system

Identificador de proyecto: FEDER-UPO UPO-1380624This paper deals with Data Envelopment Analysis (DEA) in centralised settings in which the operating units belong to the same organisation. In such a scenario, a global system-wide perspective may be adopted as regards resource allocation and target setting. In this paper, a new Lexicographic Goal Programming (lexGP) approach is proposed using three priority levels: the aggregated input consumption and output production goals; the input and output goals of the individual operating units; and the technical efficiency of the computed targets. It is assumed that the goals for the overall organisation are established by the Central Decision-Maker (CDM) and that they are consistent with those of the individual operating units. The proposed approach has been applied to the Spanish public university system, comprising 47 institutions. Given the CDM preferences in terms of input and output aggregate goals and relative importance weights, specific technical efficient targets have been computed for each university. The results show that the proposed approach is more suitable than the non-centralised DEA approach and produces targets that are more effective than other centralised resource allocation approaches in the sense that they are much closer to both the aggregate goals of the CDM and the specific goals of each university.Universidad de Sevill