Performance measurement with classification information: an enhanced additive DEA model

This paper presents an improved measurement tool for evaluating performance of branches within a major Canadian bank. While there have been numerous previous studies of performance in the banking industry, particularly at the branch level, this study is different in a very significant way: specifically two kinds of data are used to develop the model. The first type of data is that related to standard transactions, available from any bank; such have formed the basis of numerous previous studies. The second type of data, obtained from the site studied, is classification information, based on branch consultant/expert judgment as to good and poor performance of branches. The purpose herein is to present a modified version of an existing benchmarking model, data envelopment analysis (DEA), and to show how this tool is applied in the banking industry. The mechanism used herein to incorporate expert knowledge within the DEA framework is to first apply a discriminant or classification tool, to quantify the functional relation that best captures the expert's mental model for performance. The outcome of this first phase is an orientation of variables to aid in the definition of inputs and outputs. The resulting orientation then defines the DEA model that makes up the second phase of the model.     

银行卡的替代效应及其对狭义货币需求的影响分析

本文首先研究了我国银行卡支付额对现金的替代效应,并进一步分析了银行卡支付额对狭义货币需求的影响。研究发现:随着近年来我国银行卡产业的蓬勃发展,银行卡支付总额猛增,银行卡支付额与现金流通量之间呈指数替代关系,并建立了银行卡支付额对现金替代效应的非线性模型;银行卡支付额对狭义货币需求量的影响也是非线性的,并利用非参数局部多项式拟合建立了部分线性回归模型。这两个模型在这类研究中是首次提出,并有很好的解释作用。     

A non-queueing model to predict teller requirements in retail bank branches

Two models are developed in this paper to determine optimum teller scheduling at bank branches. The first is a parametric model consisting of three phases: predicting the aggregate number of transactions for the bank based on the factors influencing customer demand and arrival rates; determining the percent of the aggregate transactions volume performed at each retail branch based on customer profiles and branch locations; formulating a transaction sensitive teller staffing model for each retail branch based upon predetermined customer service time and personnel utilization criteria. The second model is an integer programming model to determine the optimum teller staffing requirements based on the results of the first model and constrained by traditional current banking practices.     

A Data‐Driven Inventory Control Policy for Cash Logistics Operations: An Exploratory Case Study Application at a Financial Institution

A number of market changes are impacting the way financial institutions are managing their automated teller machines (ATMs). We propose a new class of adaptive data‐driven policies for a stochastic inventory control problem faced by a large financial institution that manages cash at several ATMs. Senior management were concerned that their current cash supply system to manage ATMs was inefficient and outdated, and suspected that using improved cash management could reduce overall system cost. Our task was to provide a robust procedure to tackle the ATM's cash deployment strategies. Current industry practice uses a periodic review system with infrequent parameter updates for cash management based on the assumption that demand is normally distributed during the review period. This assumption did not hold during our investigation, warranting a new and robust analysis. Moreover, we discovered that forecast errors are often not normally distributed and that these error distributions change dramatically over time. Our approach finds the optimal time series forecaster and the best‐fitting weekly forecast error distribution. The guaranteed optimal target cash inventory level and time between orders could only be obtained through an optimization module that was embedded in a simulation routine that we built for the institution. We employed an exploratory case study methodology to collect cash withdrawal data at 21 ATMs owned and operated by the financial institution. Our new approach shows a 4.6% overall cost reduction. This reflects an annual cost savings of over $250,000 for the 2,500 ATM units that are operated by the bank.     

Sales performance measurement in bank branches

Studies of bank branch performance have, to date, concentrated on obtaining a single perspective of efficiency. As the financial services industry has intensified, banks have increasingly engated in a proactive, differentiated and customer-based strategy in retail banking in which the sales component of the bank branch activity is emphasized. With the emerging sales culture within banks, as discussed earlier, there is a need to evaluate both sales and service performance. Cook et al. [12] have proposed a model to evaluate simultaneously the sales, service, and aggregate efficiencies of a bank branch. This model accounted for the fact that inputs, in particular resources, are often shared among these functions. In this paper, we extend the data envelopment analysis additive model using goal programming concepts. We thereby derive optimal efficiency scores while taking into account non-volume related activities, that is those involving resources that cannot be assigned to a specific input or output. Again, the proposed model derives an optimal split of the shared resources that maximizes the aggregate efficiency.     

企业现金持有量影响因素的实证研究——来自我国上市公司的经验证据

20世纪90年代末,国外企业出现持有大量现金与现金等价物的现象,为什么企业持有大量的现金与现金等价物,以及企业持有现金的后果等问题,逐步得到国外学者的关注而成为一个研究的热点,国外学者主要从权衡理论、信息不对称理论、公司治理机制,以及投资者的法律保护程度等方面展开现金持有量的研究.由于我国的经济与制度环境同国外有很大差别,我国证券市场的发展处于一个转型时期,内部人控制严重,资本市场还不完善,国外的实证结论直接移植到国内缺乏说服力.上市公司现金持有量的影响因素也逐步得到国内学者的关注,但我国的研究还处于起步阶段.本文在理论分析与文献梳理的基础上,以我国部分上市公司为样本,检验了我国上市公司的特质性因素和公司治理机制对公司现金持有量的影响.研究结果表明,公司现金持有量与财务杠杆、银行性债务、净营运资本负相关,与公司的投资机会正相关,权衡理论和优序融资理论得到了经验支持;国有股、董事会规模、股东保护程度与现金持有量负相关;经营者持股与现金持有量正相关;股权集中度、独立董事、以及领导权结构并没对公司现金持有量产生显著影响.本文从现金持有量的角度为我国上市公司治理的不完善性提供了证据,需要我们从股权结构、董事会特征等方面进一步完善公司治理机制,规范公司的现金持有行为.     

Performance-Net: A Decision Support System for Reconfiguring a Bank's Branch Network

This paper presents a Decision Support System (DSS) that enables the management of a retail bank to evaluate and reconfigure its branch network. The DSS uses computational methods and knowledge that arises from information about the bank's operational and fixed costs, as well as demographic characteristics from the geographical area where branches are located. The DSS that we call Performance-Net estimates the performance of a branch network and determines the optimum number of branches and the optimum mix of services that each one should provide in order to maximize the bank's revenue- generating measures. Its computational engine is based on a linear programming optimization model and its implementation is developed using the standard MS Excel program. Performance-Net provides efficient solutions, is particularly user-friendly and can reach excellent answers for a wide variety of “what if” parametric scenarios.     

Parametric branch and bound

The paper describes a procedure for mixed integer programming that allows branches to be imposed ‘by degrees’, which can subsequently be revised or weeded out according to their relative influence. It is an adaptive approach in which the branch and bound tree can be manipulated and restructured. The approach also yields measures of the costs of imposing the branches that lead to integer solutions, thus providing a built-in form of sensitivity analysis for evaluating the effect of integer restrictions.     

Branch banking in the year 2000

The topic of branch banking in the United States in the year 2000 is obviously one that has been in the minds of California bankers for some time because California is the largest state in the United States to permit virtually unlimited statewide branch banking. It is a topic that must also be in the minds of a large number of European and Asian bankers as well because several non-U.S. banking systems have already established large branch networks in the United States. It is a difficult topic because no one knows precisely what will be the status of branch banking in the year 1990, let alone the year 2000. This article makes some predictions.     

Optimal repayment policies for multiple loans

This paper extends the applications of scheduling theory to certain problems in the area of finance. Specifically, a branch and bound algorithm to identify optimal repayment policies for multiple loans (credit purchases) has been developed. Each loan qualifies for a discount if it is paid on or before a certain date and a penalty is imposed if it is paid after its due date. These two dates are different in general. It is assumed that the cash for repayment is generated at a constant rate per day and it can be invested so that it continues to earn money until used for repayment. The objective is to minimize the present value of all future cash outflows.     

基于银行-资产双边网络模型的系统性风险及投资策略研究

受近几年的国际金融危机及金融全球化的影响,对金融系统的系统性风险的研究已成为国内外学者的关注热点。考虑到当前基于"银行-资产-银行"间接传播渠道的相关研究相对匮乏,本文基于银行-资产双边网络模型来分析银行系统性风险。首先,使用中国47家上市银行2018年的资产负债表数据构建了中国银行系统的双边网络模型,研究分析各类资产遭受冲击时外部冲击、降价出售效应及银行所持有的各类资产占银行总资产的比例对银行系统性风险的影响。然后,引入系统性冲击方式,通过设置具有不同属性的两大类资产并生成四种冲击事件来构建银行的投资策略模型,从资产视角探讨银行最优的投资策略。研究发现,外部冲击与降价出售效应这两个产生系统性风险的影响因素在一定区间值时会产生叠加效应,使银行系统性风险急剧增加;五种资产类中,贷款类资产对外部冲击最敏感;分析发现在各类资产冲击下都未倒闭的所有银行的资产组合具有一定的相似性;进一步研究发现银行系统中存在着最优的资产组合,使得银行在稳定的同时能获取最大收益,并且资产负债比越大的银行其风险承受能力越强,从而可以选择更激进的投资策略来追求高收益。     

外资银行的进入对我国信贷市场贷款价格的影响

本文从中资银行和外资银行分别具有信息优势和融资成本优势的基本假设出发,建立了不对称信息下的银行信贷市场竞争模型,从贷款价格的角度来研究外资银行通过绿地投资和兼并收购两种方式进入对我国信贷市场的影响,且在并购方式中将并购对象按规模分为了本地大银行和小银行。结果表明,外资银行通过兼并收购本地大银行方式进入对贷款价格的降低效果不大,而通过兼并收购小银行方式进入能够全面降低本地银行的贷款价格,在处于竞争劣势地位的本地大银行的老客户市场通过绿地投资模式进入可以大幅度的降低贷款价格。     

Slacks-based inefficiency approach for general networks with bad outputs: An application to the banking sector

In this paper the efficiency assessment of general networks of processes that produce both desirable and undesirable outputs is addressed. This problem arises in many contexts (e.g. transportation, energy generation, etc.). A general networks slacks-based inefficiency (GNSBI) measure can be computed using a simple linear program that takes into account the weak disposability of the bad outputs. The slacks-based inefficiency (SBI) of each process is also calculated. Target values for all inputs, outputs (both desirable and undesirable) and even intermediate products are also provided. The proposed approach is rather general and can accommodate many different network topologies and returns to scale assumptions. Two applications to the banking sector are presented: one to assess banks efficiencies and another to assess bank branches.     

PORTFOLIO MODELS WITH STOCHASTIC CASH DEMAND,BORROWING AND FIXED TRANSFER COSTS

Portfolio models of the Markowitz-Tobin type implicitly assume that the investor does not have to liquidate any part of his portfolio to meet some exogenous cash demand. Since liquidity needs can be an important factor in portfolio management, Chen, Jen, and Zionts [3] in a recent paper developed a model assuming stochastic demand for cash and the possibility of meeting the cash demand by liquidating one or more assets. However, borrowing is an important alternative to liquidating assets. This paper considers that possibility. Unlike Chen, Jen, and Zionts, this paper also considers the more difficult question of liquidation costs being partly fixed and partly variable. In order to make the consideration of borrowing and fixed transfer costs mathematically tractable, the problem is first cast in a framework different from that of [3].     

The governance role of multiple large shareholders: evidence from the valuation of cash holdings

This paper investigates the governance role of multiple large shareholders (MLS, henceforth), as evidenced by their impact on the valuation of cash holdings. For a sample of 2,723 firms from 22 countries, we find that the presence of MLS enhances the valuation of firms’ cash holdings. In particular, we show that the valuation of cash is positively associated with an even distribution of blockholders’ voting rights and with higher contestability of the largest shareholder’s control. We also show that the impact of MLS on the valuation of cash holdings is more pronounced for family-controlled firms, consistent with investors perceiving family owners as associated with greater expropriation risk. Overall, our results contribute to the literature on corporate governance by showing that MLS improve internal monitoring and moderate the agency costs of firms’ cash holdings.     

A survey on bank branch efficiency and performance research with data envelopment analysis

The banking industry has been the object of DEA analyses by a significant number of researchers and probably is the most heavily studied of all business sectors. Various DEA models have been applied in performance assessing problems, and the banks' complex production processes have further motivated the extension and improvement of DEA techniques. This paper surveys 80 published DEA applications in 24 countries/areas that specifically focus on bank branches. Key issues related to the design of DEA models in these studies are discussed. Much advice is included on how to design future experiments and studies in this domain. A number of areas where further research could be fruitful are suggested.     

商业银行分理处效率对效益的影响程度分析

在运用数据包络分析方法对商业银行分理处进行效益和效率的评价的基础上,提出分析效率对盈利性影响程度的方法,通过对某商业银行支行的12个分理处的实证分析,初步证明了该方法的有效性。     

Bank management and strategic planning for the 1980s

This paper examines a number of important issues facing banking in the 1980s. The authors maintain that banking has been managing primarily by crisis, and this 'simply cannot be the operating norm'. The paper analyses a number of selected issues facing bank management in 1978 and the perceptions of bank managers about those issues vs their probable importance in 1985; furthermore, the paper examines likely operating strategies which will be required as effective responses to emerging environmental realities. Through examining the competitive realities for 1985 this paper, as have many others recently, broadens the context within which planning in banking will perhaps take place in the future.     

Two-stage evaluation of bank branch efficiency using data envelopment analysis

There are two key motivations for this paper: (1) the need to respond to the often observed rejections of efficiency studies’ results by management as they claim that a single-perspective evaluation cannot fully reflect the operating units’ multi-function nature; and (2) a detailed bank branch performance assessment that is acceptable to both line managers and senior executives is still needed. In this context, a two-stage Data Envelopment Analysis approach is developed for simultaneously benchmarking the performance of operating units along different dimensions (for line managers) and a modified Slacks-Based Measure model is applied for the first time to aggregate the obtained efficiency scores from stage one and generate a composite performance index for each unit. This approach is illustrated by using the data from a major Canadian bank with 816 branches operating across the nation. Three important branch performance dimensions are evaluated: Production, Profitability, and Intermediation. This approach improves the reality of the performance assessment method and enables branch managers to clearly identify the strengths and weaknesses in their operations. Branch scale efficiency and the impacts of geographic location and market size on branch performance are also investigated. This multi-dimensional performance evaluation approach may improve management acceptance of the practical applications of DEA in real businesses.     

Evaluation of bank branch growth potential using data envelopment analysis

Banks occasionally employ frontier efficiency analyses to objectively identify best practices within their organizations. Amongst such methods, Data Envelopment Analysis (DEA) was found to be one of the leading approaches. DEA has been successfully applied in many bank branch performance evaluations using traditional intermediation, profitability and production approaches. However, there has been little focus on assessing the growth potential of individual branches.This research presents five models that examine three perspectives of branch growth. Each model was applied to the branch network of one of Canada׳s top five banks to gauge the growth potential of individual branches and to provide tailored improvement recommendations. Using various analysis methodologies, the results of each model were examined and their functionality assessed.