efficiency analysis in banking firms an international comparison abstract the intensive process of financial european integration together with the profound transformation and deregulation that has taken place in the spanish banking system justifies the evaluation of its efficiency in comparison with that of other banking systems in this context the aim of this study is to analyze the productivity efficiency and differences in technology of several banking systems using a non parametric approach together with the malmquist index we compare the efficiency productivity and differences in technology of different european and us banking systems for the year 1992

option pricing when the variance changes randomly theory estimation and an application in this paper we examine the pricing of european call options on stocks that have vari ance rates that change randomly we study continuous time diffusion processes for the stock return and the standard deviation parameter and we find that one must use the stock and two options to form a riskless hedge the riskless hedge does not lead to a unique option pricing function because the random standard deviation is not a traded security one must appeal to an equilibrium asset pricing model to derive a unique option pricing function in general the option price depends on the risk premium associated with the random standard deviation we find that the problem can be simplified by assuming that volatility risk can be diversified away and that changes in volatility are uncorrelated with the stock return the resulting solution is an integral ofthe black scholes formula and the distribution function for the variance of the stock price we show that accurate option prices can be computed via monte carlo simulations and we apply the model to a set of actual prices

an index number approach to measuring bank efficiency an application to mergers abstract the current wave of bank mergers has resulted in an interest in the measurement of consequent efficiencies previous studies have generally focused on the measurement of merger induced cost efficiencies in this paper we turn to the production side and examine the change in relative productivity arising from bank mergers after deriving our superlative multilateral productivity index we compute the indexes for our entire sample of banks approximately 2 000 banks in each of the years 1984 1988 and for a cohort of 160 banks that merged in 1986 we find that acquiring banks achieve no gains in efficiency and this finding supports those of other studies on the other hand we find that our acquiring banks are consistently more productive than the sample as a whole by implication if mergers can be generally characterized as the acquisition by a relatively more productive bank of a relatively less productive bank an empirically valid supposition then industry performance should improve as a result of these mergers

renewable resource economists and policy what differences have we made abstract this paper surveys developments in fisheries economics and fisheries policy over the past half century early work clarified the nature of the economic issues associated with open access laying the groundwork for changes in policies after coastal nations expanded their jurisdictions in 1976 perhaps the most important point made by economists is that property rights matter and that open access conditions create economic as well as biological problems the policy process has begun to create property rights systems although many of the world s fisheries still operate under mixed systems of regulations and open access incentives

do mergers improve the x efficiency and scale efficiency of u s banks evidence from the 1980s a central issue currently debated among bank analysts and economists is whether mergers enhance the efficiency of surviving banks this paper investigates the postmerger performance of acquiring banks that participated in a merger during the period 1980 90 the evidence suggests that acquirers failed to improve x efficiency after the merger acquiring banks however experienced moderate gains in scale efficiency relative to a control sample the second part of the paper uses regression analysis to identify factors influencing the performance of merging banks the regression results suggest that improvements in postmerger performance depend on the ability of the bank to strengthen asset quality the author finds no evidence to support the theory that in market mergers lead to significant improvements in efficiency copyright 1997 by ohio state university press

the pricing of options on assets with stochastic volatilities one option pricing problem that has hitherto been unsolved is the pricing of a european call on an asset that has a stochastic volatility this paper examines this problem the option price is determined in series form for the case in which the stochastic volatility is independent of the stock price numerical solutions are also produced for the case in which the volatility is correlated with the stock price it is found that the black scholes price frequently overprices options and that the degree of overpricing increases with the time to maturity one option pricing problem that has hitherto remained unsolved is the pricing of a european call on a stock that has a stochastic volatility from the work of merton 12 garman 6 and cox ingersoll and ross 3 the differential equation that the option must satisfy is known the solution of this differential equation is independent of risk preferences if a the volatility is a traded asset or b the volatility is uncorrelated with aggregate consumption if either of these conditions holds the risk neutral valuation arguments of cox and ross 4 can be used in a straightfoward way this paper produces a solution in series form for the situation in which the stock price is instantaneously uncorrelated with the volatility we do not assume that the volatility is a traded asset also a constant correlation between the instantaneous rate of change of the volatility and the rate of change of aggregate consumption can be accommodated the option price is lower than the blackscholes b s 1 price when the option is close to being at the money and higher when it is deep in or deep out of the money the exercise prices for which overpricing by b s takes place are within about ten percent of the security price this is the range of exercise prices over which most option trading takes place so we may in general expect the b s price to overprice options this effect is exaggerated as the time to maturity increases one of the most surprising implications of this is that if the b s equation is used to determine the implied volatility of a near the money option the longer the time to maturity the lower the implied volatility numerical solutions for the case in which the volatility is correlated with the stock price are also examined the stochastic volatility problem has been examined by merton 13 geske 7 johnson 10 johnson and shanno 11 eisenberg 5 wiggins 16 and

banking efficiency and competition in low income countries the case of uganda there is a concern that the state dominated inefficient and fragile banking systems in many low income countries especially sub saharan africa are a major hindrance to economic growth in this context this article systematically analyses the impact of the far reaching banking sector reforms undertaken in uganda on banking sector competition and efficiency using models of banking competition and efficiency that have been predominantly estimated in industrial countries we find that the level of competition has significantly increased and has been associated with a rise in efficiency of the sector moreover on average larger banks and foreign owned banks are more efficient than others while smaller banks have fallen back in efficiency with the increase in competitive pressures

transaction data tests of s p 100 call option pricing this paper examines the pricing of s p 100 calls using 14 months of transactions data we find that market prices of s p 100 calls differ systematically from black scholes values the biases in black scholes model prices are both statistically and economically significant and correspond to biases that arise if market prices incorporate a stochastically changing volatility of the index

empirical martingale simulation for asset prices this paper proposes a simple modification to the standard monte carlo simulation procedure for computing the prices of derivative securities the modification imposes the martingale property on the simulated sample paths of the underlying asset price this procedure is referred to as the empirical martingale simulation ems the ems ensures that the price estimated by simulation satisfies the rational option pricing bounds the ems yields a substantial error reduction for the price estimate and can be easily coupled with the standard variance reduction methods simulation studies are conducted for european and asian call options using both the black and scholes and garch option pricing frameworks the results indicate that the ems yields substantial variance reduction particularly for in and at the money or longer maturity options the option price estimate based on the ems is found to exhibit a minor small sample bias only in few occasions an analysis of the trade off between computing time and price accuracy reveals that the ems dominates the conventional simulation methods

the informational content of implied volatility implied volatility is widely believed to be informationally superior to historical volatility because it is the markets forecast of future volatility but for s p 100 index options the most actively traded contract in the united states we find implied volatility in aggregate and across subsamples separated by maturity and strike price implied volatility has virtually no correlation with future volatility and it does not incorporate the information contained in recent observed volatility article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

explaining differences in public sector efficiency evidence from russia s regions summary using the case of russia s regions this paper extends the literature on public sector efficiency in three directions an attempt to better understand differences in public sector efficiency through the study of subnational governments in one country the first examination of public sector efficiency of subnational governments in emerging markets and the first study of public sector efficiency in russia three types of scores of public sector performance and efficiency indicate substantial differences across regions an econometric examination suggests that they are largely explained by per capita income the share of federal transfers in subnational government revenue quality of governance and democratic control and the level of spending

open access common property and scarcity rent in fisheries open access resources are frequently not managed efficiently resulting in falling stock levels and a declining income for fishermen in the late 1970 s the policy response to this problem was the implementation of 200 mile fishing zones which enabled the european union to formulate and implement the common fisheries policy aimed at among other things conservation and distribution of available stocks in germany this shift from an open access regime towards a common property regime had favourable outcomes the trend of falling prices was reversed the conclusion was that intertemporal efficiency had increased as a result of inter governmental policy apparently a wedge was formed between price and marginal harvesting costs implying that scarcity rent had returned as a component of prices

pricing options under generalized garch and stochastic volatility processes in this paper we develop an efficient lattice algorithm to price european and american options under discrete time garch processes we show that this algorithm is easily extended to price options under generalized garch processes with many of the existing stochastic volatility bivariate diffusion models appearing as limiting cases we establish one unifying algorithm that can price options under almost all existing garch specifications as well as under a large family of bivariate diffusions in which volatility follows its own perhaps correlated process through an equilibrium argument duan 1995 shows that options can be priced when the dynamics for the price of the underlying instrument follows a general autoregressive conditionally heteroskedastic garch process the theory of pricing under such processes is now well understood however the design of efficient numerical procedures for pricing them is lacking most applications resort to large sample simulation methods with a variety of variance reduction techniques the complexity of pricing arises from the massive path dependence inherent in garch models this path dependence causes typical lattice based procedures to grow exponentially in the number of time increments the lack of efficient numerical schemes hinders empirical tests among the wide array of competing garch models most tests of garch models limit themselves to the use of high frequency data on spot assets with little attention placed on the information content of options 1

pricing hang seng index options around the asian financial crisis a garch approach abstract this paper investigates how well the hang seng index options the most important class of option contracts traded in hong kong are priced using the garch approach we calibrated the garch parameters using the call and put option data and used them to price options in the subsequent weeks we found the garch model performs very well in comparison with the black scholes model even after allowing for a smile smirk adjustment its superior performance was also evident both before and during the recent asian financial turmoil

empirical of the taiwan stock index option price forecasting model applied artificial neural network this work presents a novel neural network model for forecasting option prices using past volatilities and other options market factors out of different approaches to estimating volatility in the option pricing model this study uses backpropagation neural network to forecast prices for taiwanese stock index options the ability to develop accurate forecasts of grey prediction volatility enables practitioners to establish an appropriate hedging strategy at in the money option

econometric modeling of fisheries with complex life histories avoiding biological management failures abstract economics of the fishery has focused on the wastefulness of common pool resource exploitation pure open access fisheries dissipate economic rents and degrade biological stocks biologically managed fisheries also dissipate rents but are thought to hold biological stocks at desired levels we develop and estimate an empirical bioeconomic model of the gulf of mexico gag fishery that questions the presumptive success of biological management unlike previous bioeconomic life history studies we provide a way to circumvent calibration problems by embedding our estimation routine directly in the dynamic bioeconomic model we nest a standard biological management model that accounts for complex life history characteristics of the gag biological intuition suggests that a spawning season closure will reduce fishing pressure and increase stocks and simulations of the biological management model confirm this finding however simulations of the empirical bioeconomic model suggest that these intended outcomes of the spawning closure do not materialize the behavioral response to the closure appears to be so pronounced that it offsets the restriction in allowable fishing days our results indicate that failure to account for fishing behavior may play an important role in fishery management failures

the sources of productivity change in spanish banking abstract in this paper we examine the pattern of productivity change in spanish banking over the period 1986 1993 two sectors dominate spanish banking commercial banks and the faster growing savings banks we begin by examining productivity change separately within each sector however since the two sectors are gradually becoming more competitive we continue by merging the two sectors and by examining productivity change in the industry the merging procedure follows a methodology originally proposed by charnes cooper and rhodes 1981 in which intra sectoral managerial inefficiency is eliminated prior to merging this procedure allows us to distinguish differences in managerial efficiency within each sector from differences in the institutional efficiency of the two sectors it also enables us to decompose potential productivity change into institutional efficiency change technical change and the impact of scale economies we find the commercial banks to have had a slightly lower rate of productivity growth but a slightly higher rate of potential productivity growth we attribute this phenomenon to differences in both managerial efficiency and institutional efficiency to differences in the rate of technical progress and to the adverse impact of diseconomies of scale in the commercial banking sector

the dominance of inefficiencies over scale and product mix economies in banking abstract this study measures and analyzes inefficiencies for all u s banks in 1984 inefficiencies are measured relative to a thick frontier cost function and are found to dominate measured scale and product mix economies most inefficiencies are operational in nature involving the overuse of physical inputs rather than financial involving overpayment of interest also technical inefficiencies proportionate overuse of all inputs dominate allocative inefficiencies improper mix of inputs these results suggest that competitive pressures in banking from deregulation will be focused primarily on banks that do not control costs rather than on those of a particular size or product mix

efficiency analysis of german electricity distribution utilities non parametric and parametric tests this study applies non parametric and parametric tests to assess the efficiency of electricity distribution companies in germany traditional issues in electricity sector benchmarking are addressed such as the role of scale effects and optimal utility size as well as new evidence specific to the situation in germany labour capital and peak load capacity are used as inputs and units sold and the number of customers as output the data cover 307 out of 553 german electricity distribution utilities a data envelopment analysis dea is applied with constant returns to scale crs as the main productivity analysis technique whereas stochastic frontier analysis sfa with distance function is the verification method the results suggest that returns to scale play but a minor role only very small utilities have a significant cost advantage low customer density is found to affect the efficiency score significantly in particular in the lower third of all observations surprisingly east german utiliti

stock price distributions with stochastic volatility an analytic approach we study the stock price distributions that arise when prices follow a diffusion process with a stochastically varying volatility parameter we use analytic techniques to derive an explicit closed form solution for the case where volatility is driven by an arithmetic ornstein ublenbeck or ar1 process we then apply our results to two related problems in the finance literature 1 options pricing in a world of stochastic volatility and 2 the relationship between stochastic volatility and the nature of fat tailes in stock price distributions article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

productivity growth in large us commercial banks the initial post deregulation experience abstract we explore productivity growth for a group of 201 large us commercial banks over the initial post deregulation period from 1984 to 1990 using data envelopment analysis dea we measure productivity growth using malmquist productivity indexes and isolate the contributions of technical change technical efficiency change and scale change to productivity growth we find overall productivity growth at the rate of about 4 5 per year on average but productivity declined by 7 61 between 1984 and 1985 and by 0 33 between 1988 and 1989 our second stage panel regressions reveal that larger asset size and specialization of product mix associate with higher productivity growth while higher equity to assets associates with lower productivity growth

option pricing under garch processes using pde methods in this paper we propose a partial differential equation formulation for the value of an option when the underlying asset price is described by a discrete time garch process our numerical approach involves a spectral fourier chebyshev interpolation numerical illustrations are provided and the results are compared with other available valuation methods our numerical procedure converges exponentially fast and allows for the efficient computation of option prices achieving a high level of precision in a few seconds of computing time

management of a multiple cohort fishery the hard clam in great south bay this paper develops a reasonably general multiple cohort model and derives conditions for optimal harvest and age structure based on a discrete time control problem which maximizes the present value of net revenues subject to recruitment and spawning constraints the model is applied to the hard clam resource in great south bay which is located on long island new york the steady state optimum calls for exclusive harvesting of the younger and more valuable littleneck cohorts leaving the older and less valuable cherrystone and chowder cohorts to specialize in regeneration most of the models employed by economists to characterize renewable resources have presumed that the resource population can be adequately described by a single index or state variable such a view is consistent with much of the classical literature in physical biology where population growth was described using the logistic equation lotka volterra such models may be inadequate however when dealing with a resource where recruitment and fecundity are dependent on the population s age structure or where the revenues and costs of resource exploitation vary with the age at harvest clark biologists have been aware of the importance of age specific attributes and have developed several models to characterize the population dynamics of a single species lewis and leslie independently developed models where the abundance of various

garch vs stochastic volatility option pricing and risk management this paper examines the out of sample performance of two common extensions of the black scholes framework namely a garch and a stochastic volatility option pricing model the models are calibrated to intraday ftse 100 option prices we apply two sets of performance criteria namely out of sample valuation errors and value at risk oriented measures when we analyze the fit to observed prices garch clearly dominates both stochastic volatility and the benchmark black scholes model however the predictions of the market risk from hypothetical derivative positions show sizable errors the fit to the realized profits and losses is poor and there are no notable differences between the models overall we therefore observe that the more complex option pricing models can improve on the black scholes methodology only for the purpose of pricing but not for the value at risk forecasts author s abstract

applying data envelopment analysis in analysing the organizational change for credit departments of farmers associations in taiwan this study attempts to apply the data envelopment analysis to approach the performance of the credit departments of farmers associations in taiwan based on the structure of the data envelopment analysis approach this study measures the relative efficiency for credit departments of farmers associations in taiwan via resource redistribution when the amount of resource is fixed it can be distributed to each unit within an organization in a better way it is intended to find the possible improvements for those inefficient credit departments of farmers associations the empirical results show that the overall efficiency scores of the teams indicate is not best and scale for credit departments of farmers associations in taiwan is relatively small it implies that the reorganization of the credit departments of farmers associations may be appropriate if more efficient organization is to be pursued finally the reorganization of the credit departments of farmers associations are studies evidences show

pricing individual stock options using both stock and market index information abstract when it comes to individual stock option pricing most applications consider a univariate framework from a theoretical point of view this is unsatisfactory as we know that the expected return of any asset is closely related to the exposure to the market risk factors to address this we model the evolution of the individual stock returns together with the market index returns in a flexible bivariate model in line with theory the model parameters are estimated using both historical returns and aggregated option data from the index and the individual stocks we assess the model performance by pricing a large set of individual stock options on 26 major us stocks over a long time period including the global financial crisis our results show that the losses from using a univariate formulation amounts to 11 on average when compared to our preferred bivariate specification

malmquist indices of productivity growth during the deregulation of norwegian banking 1980 89 productivity growth during the deregulation of the norwegian banking industry is studied within the framework of data envelopment analysis which explicitly allows for multiple outputs introducing malmquist indices for productivity growth total growth can be decomposed into frontier growth and change in each bank s distance to the frontier both the total growth index and its components can be consistently chained over time we find productivity regress at the average bank prior to the deregulation but rapid growth when deregulation took place deregulation also led to less dispersion of productivity levels within the industry

analysis of the term structure of implied volatilities from various empirical work it is well known that the volatility of asset returns changes over time this might be one of the reasons that implied volatilities differ for options that only differ in time to maturity we construct models for the relation between short and long term implied volatilities based on three different assumptions of stock return volatility behavior i e mean reverting garch and egarch models we test these relations on option price data and conclude that egarch gives the best description of asset prices and the term structure of options implied volatilities

a closed form garch option valuation model this paper develops a closed form option valuation formula for a spot asset whose variance follows a garch p q process that can be correlated with the returns of the spot asset it provides the first readily computed option formula for a random volatility model that can be estimated and implemented solely on the basis of observables the single lag version of this model contains heston s 1993 stochastic volatility model as a continuous time limit empirical analysis on s p500 index options shows that the out of sample valuation errors from the single lag version of the garch model are substantially lower than the ad hoc black scholes model of dumas fleming and whaley 1998 that uses a separate implied volatility for each option to fit to the smirk smile in implied volatilities the garch model remains superior even though the parameters of the garch model are held constant and volatility is filtered from the history of asset prices while the ad hoc black scholes model is updated every period the improvement is largely due to the ability of the garch model to simultaneously capture the correlation of volatility with spot returns and the path dependence in volatility article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

an empirical model of fishery dynamics abstract the multiple cohort approach to population dynamics is seldom used for empirical analysis of catch and effort data due to the complexity of the resulting models and to limitations on available data the present paper addresses these problems by adopting a discrete time framework and simplifying assumptions for growth mortality and recruitment the result is a readily estimated econometric model of the commercial catch that is consistent with the multiple cohort paradigm this model is applied to catch and effort data for the california abalone fishery and the estimates obtained are used to analyze policy

competition and efficiency in the dutch life insurance industry the lack of available prices in the dutch life insurance industry makes competition an elusive concept that defies direct observation therefore this article investigates competition by analysing several factors which may affect the competitive nature of a market and various indirect measurement approaches after discussing various supply and demand factors which may constitute a so called tight oligopoly we establish the existence of scale economies and the importance of cost x inefficiency since severe competition would force firms to exploit available scale economies and to reduce x inefficiencies both scale economies and x inefficiencies turn out to be substantial although more or less comparable to those found for insurers in other countries and to other financial institutions further we apply the boone indicator a novel approach to measuring the effects of competition this indicator points to limited competition in comparison to other sectors in the netherlands further investigations of submarkets should reveal where policy measures in order to promote competition might be appropriate

performance evaluation of the english premier football league with data envelopment analysis this paper uses data envelopment analysis dea to evaluate the performance of english premier league football clubs from 1998 99 to 2002 03 combining sport and financial variables the paper evaluates how close the clubs are relative to the frontier of best practices analysing how they manage sport as well as financial results managerial implications of the research are devised

valuation of american call options on dividend paying stocks empirical tests abstract this paper examines the pricing performance of the valuation equation for american call options on stocks with known dividends and compares it with two suggested approximation methods the approximation obtained by substituting the stock price net of the present value of the escrowed dividends into the black scholes model is shown to induce spurious correlation between prediction error and 1 the standard deviation of stock return 2 the degree to which the option is in the money or out of the money 3 the probability of early exercise 4 the time to expiration of the option and 5 the dividend yield of the stock a new method of examining option market efficiency is developed and tested

nonparametric tests of alternative option pricing models using all reported trades and quotes on the 30 most active cboe option classes from august 23 1976 through august 31 1978

efficiency and credit rating in taiwan banking data envelopment analysis estimation in this article we use the data envelopment analysis to measure the efficiency of banks before and after credit rating is taken into consideration and we also employ the malmquist productivity index to measure the total factor productivity changes from 2001 to 2003 the results are as follows 1 there is a positive relationship between the efficiency scores and credit rating and thus the credit rating can be a representative to evaluate the performance and quality of a bank 2 we use the wilconxon two sample test of nonparametric statistic to test the influences of credit rating the empirical result shows that the credit rating is proven to influence the efficiency of banks 3 the efficiency scores improve in both investment grade above tw bbb and speculation grade under tw bbb when credit rating is taken into consideration the empirical results show that the efficiency scores of banks with a high credit rating improved relatively more when compared to banks with a lower credit rating

evaluating the cost efficiency of the italian banking system what can be learned from the joint application of parametric and non parametric techniques abstract research on bank efficiency has developed in two separate streams econometric studies and data envelopment analysis a linear programming technique these two branches of literature have developed quickly but separately in this paper these two approaches have been tested on a common panel of 270 italian banks and this has suggested the following i econometric and linear programming results do not differ dramatically when based on the same data and conceptual framework ii when differences arise they can be explained by going back to the intrinsic features of the models moreover some findings on italian banks may be of interest also to the international reader i efficiency scores show a high variance ii the banking system is split in two between northern and southern banks iii there is a direct rather than inverse relationship between productive efficiency and asset quality iv the efficiency of italian banks did not increase over the period 1988 1992

wto challenges and efficiency of chinese banks after joining the world trade organisation wto in december 2001 china was given 5 years to completely open up its banking market for international competition chinese banks have been renowned for their mounting nonperforming loans and low efficiency despite gradual reforms the banking system is still dominated by state ownership and encapsulated monopolistic control how to raise efficiency is a key to the survival and success of domestic banks especially the state owned commercial banks two important factors may be responsible for raising efficiency ownership reform and hard budget constraints this article uses a panel data of 22 banks over the period 1995 to 2001 and employs a stochastic frontier production function to investigate the effects of ownership structure and hard budget constraint on efficiency empirical results suggest that nonstate banks were 8 18 more efficient than state banks and that banks facing a harder budget tend to perform better than those heavily capitalized by the

dynamic programming approach for valuing options in the garch model in this paper we develop an efficient algorithm to value options under discrete time garch processes we propose a procedure based on dynamic programming coupled with piecewise polynomial approximation to compute the value of a given option at all observation dates and levels of the state vector the method can be used for the large garch family of models based on gaussian innovations and may accommodate all low dimensional european as well as american derivatives numerical implementations show that this method competes very advantageously with other available valuation methods

efficiency and technical progress in banking empirical results for a panel of german cooperative banks abstract using 1989 1992 individual data of 757 german cooperative banks and applying the intermediation approach we specify a multi product translog cost function for this part of the german banking industry for all size classes moderate economies of scale can be identified there is also evidence of economies of scope which supports the notion of universal banking as for cost efficiency we find that the average banks in all size classes deviate considerably from the best practice cost frontier all banks enjoy growth of total factor productivity which is higher for the smaller banks in the sample

option values under stochastic volatility theory and empirical estimates abstract this paper numerically solves the call option valuation problem given a fairly general continuous stochastic process for return volatility statistical estimators for volatility process parameters are derived and parameter estimates are calculated for several individual stocks and indices the resulting estimated option values do not differ dramatically from black scholes values in most cases although there is some evidence that for longer maturity index options black scholes overvalues out of the money calls in relation to in the money calls

explaining efficiency differences among large german and austrian banks cost efficiency scale efficiency and productivity change are estimated by data envelopment analysis and cost efficiency is regressed on explanatory variables no evidence is found for average productivity responding to deregulation over the period studied state owned banks are found to be more cost efficient likely owing to cheaper funds and cooperative banks to be about as cost efficient as private banks increasing economies of scale but decreasing economies of scope provide rationale for m as among banks with similar product portfolios interbank and capital market funding is found to be more cost efficient than deposits when the cost of retail networks is controlled

a nonparametric approach for assessing productivity dynamics of large u s banks the 1980s marked an era of substantial change for the us commercial banking industry an issue of considerable interest to banking analysts and economists alike is whether the intensified competitive pressure generated by deregulation and notable financial innovations enhanced productivity to investigate the response to these changes the non parametric malmquist index is used to evaluate productivity dynamics a statistically significant productivity surge found between 1983 and 1984 is followed by productivity regress the next period post 1985 sustained productivity progress is observed for the remainder of the decade productivity movements are primarily attributable to technological changes rather than scale changes or convergence to the production frontier

american option pricing under garch by a markov chain approximation abstract we propose a numerical method for valuing american options in general and for the garch option pricing model in particular the method is based on approximating the underlying asset price process by a finite state time homogeneous markov chain since the markov transition probability matrix can be derived analytically the price of an american option can be computed by simple matrix operations the markov transition probability matrix is typically sparse the use of a sparse matrix representation can substantially increase the dimension of the markov chain to obtain better numerical results the markov chain method works well for the garch option pricing framework and it serves as an alternative to the existing numerical methods for the valuation of american options in other pricing settings we provide a convergence proof for the markov chain method and analyze its numerical performance for the black scholes 1973 and garch option pricing models

general equilibrium pricing of options on the market portfolio with discontinuous returns when the price process for a long lived asset is of a mixed jump diffusion type pricing of options on that asset by arbitrage is not possible if trading is allowed only in the underlaying asset and a risk less bond using a general equilibrium framework we derive and analyze option prices when the underlying asset is the market portfolio with discontinuous returns the premium for the risk of jumps and the diffusion risks forms a significant part of the prices of the options in this economy an attempted replication of call and put options by the black scholes type of trading strategies may require substantial infusion of funds when jumps occur we study the cost and risk implications of such dynamic hedging plans article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

estimating total factor productivity growth in singapore at sectoral level using data envelopment analysis trends in total factor productivity growth tfpg are examined in the ten major sectors of singapore data are drawn from the yearbook of statistics singapore various issues and economic survey of singapore series ranging from the year 1985 to 2000 due to the heterogeneous characteristic of each sector and non availability of reliable input price data this study uses a non parametric frontier methodology known as data envelopment analysis dea to obtain the malmquist productivity index at the sectoral level the results can help singapore identify the best practice sector and laggards in three aspects efficiency change technical change and tfpg which is the qualitative productivity improvements needed for long term economic growth the three sets of productivity estimates are adjusted for effects of inflation and business cycles so that they are more reliable for policy implications this exercise will provide a platform for more detailed study on the determinants of tfp growth in different s

bank office outreach structure and performance in regional banking markets burgstaller j bank office outreach structure and performance in regional banking markets regional studies this paper studies bank penetration market structure and banking conduct across austrian districts neither differences in market concentration nor in the activity of out of market banks can explain the regional dispersion of interest rates bank profitability and efficiency a higher bank density is connected to more competition and lower mark ups and indicates more efficient banking markets as well as efficiency is the main determinant of bank profits and competition seems to be mildly indicative of stronger regional growth the preservation of a fair regional bank outreach appears to be an important policy target burgstaller j burgstaller j le rayon d action des guichets ban

technical efficiency and scale efficiency in the italian banking sector a non parametric approach measures of technical and scale efficiencies are derived in the italian banking industries by implementing non parametric data envelopment analysis on a cross section of 174 italian banks taken in 1991 the methodology of the parametric and non parametric approaches to measure efficiency are discussed the existence of both technical and allocative efficiency is established this result is robust to modifications in the specification of inputs and outputs suggested by the intermediation approach and by the asset approach in implementing both the intermediation and the asset approach the traditional specification of inputs is modified to allow an explicit role for financial capital in addition regression analysis is used on a bank specific measure of inefficiency to investigate determinants of banks efficiency efficiency is best explained by productive specialization size and to a lesser extent by location