banking technology and the existence of a consistent output aggregate abstract this paper addresses the question of the existence of a consistent output aggregate in banking specific necessary and sufficient conditions for output aggregation are developed and tested in the context of a second order approximation to any arbitrary multi product bank cost function the analysis provides evidence that a composite aggregate measure of output fails to provide a proper representation of banking technology and therefore previous studies that used aggregate output measures may well be subject to specification errors

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

turkish bank efficiency bayesian estimation with undesirable outputs this paper analyzes the productivity and efficiency of turkish banks from 2002 to 2010 we obtained estimates of efficiency productivity growth and efficiency growth using a bayesian stochastic frontier approach and focused on accounting for non performing loans npls for use in our model specifically we introduce npls as a bad output in an input distance function and estimate a system of non linear equations subject to endogeneity we confirm that the productivity growth of turkish banks was positive over the period of this study which was mainly due to the improvement in technology while efficiency growth continued to be negative over the same period methodologically we also prove that not accounting for npls in estimating the frontier model might seriously distort the efficiency and productivity results the study also provides measures of shadow prices for npl and discusses the results in terms of several interesting trends in turkish banking finally the paper provides efficiency and productivity comparisons between domestic and foreign banks

heterogeneous information arrivals and return volatility dynamics uncovering the long run in high frequency returns recent empirical evidence suggests that the interdaily volatility clustering for most speculative returns are best characterized by a slowly mean reverting fractionally integrated process meanwhile much shorter lived volatility dynamics are typically observed with high frequency intradaily returns the present article demonstrates that by interpreting the volatility as a mixture of numerous heterogeneous short run information arrivals the observed volatility process may exhibit long run dependence as such the long memory characteristics constitute an intrinsic feature of the return generating process rather than the manifestation of occasional structural shifts these ideas are confirmed by our analysis of a one year time series of fiveminute deutschemark u s dollar exchange rates among the most puzzling issues is the behavior of volatility while the general properties of volatility remain elusive perhaps the most intriguing feature revealed by empirical work on volatility is its long persistence such behavior has sparked a search almost akin to that for the holy grail for the perfect garch model but the underlying question of why such volatility persistence endures remains unanswered we conjecture that the ability to analyze higher frequency data may be particularly useful in pursuing this issue goodhart and o hara 1997 the pronounced volatility clustering is arguably one of the most striking features of financial price series recorded at daily or weekly intervals and a large body of literature seeking to characterize this aspect of speculative returns has emerged over the past decade 1 at the same time convincing theoretical explanations for the underlying sources of long run persistence in volatility remain elusive the recent advent of comprehensive high frequency andersen is from the j l kellogg graduate school of management of northwestern university bollerslev is from the university of virginia and is a research associate at the national bureau of economic research we gratefully acknowledge the financial support provided by a research grant from the institute for quantitative research in finance the q group special thanks are due to olsen and associates for making the intradaily exchange rate quotes and reuter s news tape available we have received valuable comments from wake epps clive w j granger stephen f gray j huston mcculloch as well as seminar participants at the december 1996 triangle econometrics workshop the 1997 afa meetings in new orleans academia sinica the wharton school usc and georgetown and york universities we remain fully responsible for the content 1 see bollerslev chou and kroner 1992 for a survey of this literature using arch type

the nonparametric risk adjusted efficiency measurement an application to taiwan s major rural financial intermediaries in this article a nonparametric approach is used to incorporate risk into the measurement of technical efficiencies of the major financial intermediaries in rural taiwan risk is treated as a joint but undesirable output given the fact that various regulatory actions may prevent its free disposability three risk indicators nonperforming loans allowance for loan losses and risky assets are employed alternatively in the empirical work results suggest that all three risk constraints are binding regulations on controlling risky assets and loan loss reserves are effective but more burdensome than those on controlling loan quality

foreign bank entry deregulation and bank efficiency lessons from the australian experience abstract this study considers the impact of foreign bank entry on banking efficiency in australia during the post deregulation period 1988 2001 using data envelopment analysis malmquist indices and stochastic frontier analysis we find foreign banks more efficient than domestic banks which however did not result in superior profits major australian banks have used size as a barrier to entry to new entrants furthermore bank efficiency has increased post deregulation and the competition resulting from diversity in bank types was important to prompt efficiency improvements finally the recession of the early 1990s resulted in a distinct shift in the process of efficiency changes

estimation of an asymmetric stochastic volatility model for asset returns a stochastic volatility model may be estimated by a quasi maximum likelihood procedure by transforming to a linear state space form the method is extended to handle correlation between the two disturbances in the model and applied to data on stock returns

sensitivity analysis of efficiency and malmquist productivity indices an application to spanish savings banks abstract hypothesis testing and statistical precision in the context of non parametric efficiency and productivity measurement have been investigated since the early 1990s recent contributions focus on this matter through the use of resampling methods i e bootstrapping techniques however empirical evidence is still practically non existent this gap is more noticeable in the case of banking efficiency studies where the literature is immense in this work we explore productivity growth and productive efficiency for spanish savings banks over the initial post deregulation period 1992 1998 using data envelopment analysis dea and bootstrapping techniques results show that productivity growth has occurred mainly due to improvement in production possibilities and that mean efficiency has remained fairly constant over time the bootstrap analysis yields further evidence as for many firms productivity growth or decline is not statistically significant with regard to efficiency measurement the bootstrap reveals that the disparities in the original efficiency scores of some firms are lessened to a great extent

the evolution of cost productivity and efficiency among us credit unions abstract advances in information processing technology have eroded the advantages of small scale and proximity to customers that traditionally enabled small lenders to thrive nonetheless the membership and market share of us credit unions have increased though their average size has also risen we investigate changes in the efficiency and productivity of us credit unions during 1989 2006 by benchmarking the performance of individual firms against an estimated order quantile lying near the efficient frontier we construct a cost analog of the malmquist productivity index which we decompose to estimate changes in cost and scale efficiency and changes in technology we find that cost productivity fell on average across all credit unions but especially among smaller credit unions smaller credit unions confronted a shift in technology that increased the minimum cost required to produce given amounts of output all but the largest credit unions also became less scale efficient over time

accelerated gaussian importance sampler with application to dynamic latent variable models summary we propose a new generic and highly efficient accelerated gaussian importance sampler agis for the numerical evaluation of very high dimensional density functions a specific case of interest to us is the evaluation of likelihood functions for a broad class of dynamic latent variable models the feasibility of our method is strikingly illustrated by means of an application to a first order dynamic stochastic volatility model for daily stock returns whose likelihood for an actual sample of size 2022 is evaluated with high numerical accuracy by means of 10 000 monte carlo replications the estimated model parsimoniously dominates arch and garch alternatives one of which includes twelve lags

the stochastic volatility in mean model empirical evidence from international stock markets in this paper we present an exact maximum likelihood treatment for the estimation of a stochastic volatility in mean svm model based on monte carlo simulation methods the svm model incorporates the unobserved volatility as an explanatory variable in the mean equation the same extension is developed elsewhere for autoregressive conditional heteroscedastic arch models known as the arch in mean arch m model the estimation of arch models is relatively easy compared with that of the stochastic volatility sv model however efficient monte carlo simulation methods for sv models have been developed to overcome some of these problems the details of modifications required for estimating the volatility in mean effect are presented in this paper together with a monte carlo study to investigate the finite sample properties of the svm estimators taking these developments of estimation methods into account we regard sv and svm models as practical alternatives to their arch counterparts and therefore it is of interest to study and compare the two classes of volatility models we present an empirical study of the intertemporal relationship between stock index returns and their volatility for the united kingdom the united states and japan this phenomenon has been discussed in the financial economic literature but has proved hard to find empirically we provide evidence of a negative but weak relationship between returns and contemporaneous volatility which is indirect evidence of a positive relation between the expected components of the return and the volatility process copyright 2002 john wiley sons ltd

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

comparing malmquist and hicks moorsteen productivity indices exploring the impact of unbalanced vs balanced panel data abstract we explore the effect of balancing unbalanced panel data when estimating primal productivity indices using non parametric frontier estimators first we list a series of pseudo solutions aimed at making an unbalanced panel balanced then we discuss some intermediate solutions e g balancing 2 years by 2 years furthermore we link this problem with a variety of literatures on infeasibilities statistical inference of non parametric frontier estimators and the index theory literature focusing on the dynamics of entry and exit in industries we then empirically illustrate these issues comparing both malmquist and hicks moorsteen productivity indices on two data sets in particular we test for the differences in distribution when comparing balanced and unbalanced results for a given index and when comparing malmquist and hicks moorsteen productivity indices for a given type of data set the latter tests are crucial in answering the question to which extent the malmquist index can approximate the hicks moorsteen index that has a total factor productivity tfp interpretation finally we draw up a list of remaining issues that could benefit from further exploration

an empirical application of stochastic volatility models textabstractthis paper studies the empirical performance of stochastic volatility models for twenty years of weekly exchange rate data for four major currencies we concentrate on the effects of the distribution of the exchange rate innovations for both parameter estimates and for estimates of the latent volatility series the density of the log of squared exchange rate innovations is modelled as a flexible mixture of normals we use three different estimation techniques quasi maximum likelihood simulated em and a bayesian procedure the estimated models are applied for pricing currency options the major findings of the paper are that 1 explicitly incorporating fat tailed innovations increases the estimates of the persistence of volatility dynamics 2 the estimation error of the volatility time series is very large 3 this in turn causes standard errors on calculated option prices to be so large that these prices are rarely significantly different from a model with constant volatility

a new factor to explain implied volatility smirk in this paper we find empirical evidence of a new smirk factor obtained from the jump structure of the risk neutral distribution of the underlying levy process as an application we show how to price a barrier style contract

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

industry performance and structural efficiency measures solutions to problems in firm models abstract it is shown that average unit structural efficiency measures do not measure the level of technical efficiency in a firm model of an industry alternative structural efficiency measures generalized to multiple input and multiple output technologies are presented as a solution to the problem of how to estimate the relative performance of an industry as a whole where reallocation of inputs across firms is not feasible compared to existing measures the proposed measures require additional information therefore the linear programming dea models needed to obtain this information are presented this non parametric approach to relative efficiency measurement is also used to obtain economic efficiency estimates for an industry as a whole without imposing a priori restrictions on the relative input and output weights

output and productivity in banking concepts in banking output and the empirical literature on bank productivity which employs output concepts are critically surveyed for output the national accounts production and intermediation approaches are compared as regards productivity both partial and total factor productivity measures and the dea and parametric approaches to the latter are assessed among the most striking results is the prevalence of technical inefficiency in banking but it is also suggested that measurement techniques have often outpaced the theory of what is to be measured notably in fields such as joint production risk and competition alternative approaches to address these issues are suggested

bayesian dynamic factor models and portfolio allocation we discuss the development of dynamic factor models for multivariate financial time series and the incorporation of stochastic volatility components for latent factor processes bayesian inference and computation is developed and explored in a study of the dynamic factor structure of daily spot exchange rates for a selection of international currencies the models are direct generalizations of univariate stochastic volatility models and represent specific varieties of models recently discussed in the growing multivariate stochastic volatility literature we discuss model fitting based on retrospective data and sequential analysis for forward filtering and short term forecasting analyses are compared with results from the much simpler method of dynamic variance matrix discounting that for over a decade has been a standard approach in applied financial econometrics we study these models in analysis forecasting and sequential portfolio allocation for a selected set of international exchange rate retur

energy and ghg emission efficiency in the chilean manufacturing industry sectoral and regional analysis by dea and malmquist indexes abstract global warming produced mainly by the emission of greenhouse gases is currently a worldwide concern in the last few decades since the 1950s many of the changes observed in the world climate have been meaningful this paper presents an analysis of energy efficiency and of greenhouse gas emissions in the chilean manufacturing industry by region and sector taking into consideration time sequences data envelopment analysis dea models are used for the analysis three ways to handle undesirable outputs are compared the source of inefficiency in each decision making unit dmu is calculated using scale efficiency and the evolution over time is analyzed using the malmquist index the results indicate that the industries located in the chilean regions of coquimbo la araucania and aysen were the most efficient while the industries in the regions of tarapaca antofagasta and biobio were less efficient the most efficient industrial sectors were those involving communications equipment base metals and clothing the least efficient were those concerned with food and beverages textiles and nonmetallic minerals due to the treatment of the undesirable outputs differences were found in the efficiency indexes obtained by the three models this finding suggests using a model better adapted to the characteristics of the outputs in question and the viability of improving industrial practices

the technical efficiency of us banks abstract the paper uses a non parametric frontier approach to measure the technical efficiency of a sample of u s banks the results indicate that these banks could have produced the same level of output with only 70 of the inputs actually used in addition most of this inefficiency is due to pure technical inefficiency wasting inputs rather than scale inefficiency operating at non constant returns to scale finally regression analysis indicates that the technical efficiency of the banks is positively related to size negatively related to product diversity and not at all related to the extent to which branch banking is allowed

power industry restructuring and eco efficiency changes a new slacks based model in malmquist luenberger index measurement measuring variations in efficiency and its extension eco efficiency during a restructuring period in different industries has always been a point of interest for regulators and policy makers this paper assesses the impacts of restructuring of procurement in the iranian power industry on the performance of power plants we introduce a new slacks based model for malmquist luenberger ml index measurement and apply it to the power plants to calculate the efficiency eco efficiency and technological changes over the 8 year period 2003 2010 of restructuring in the power industry the results reveal that although the restructuring had different effects on the individual power plants the overall growth in the eco efficiency of the sector was mainly due to advances in pure technology we also assess the correlation between efficiency and eco efficiency of the power plants which indicates a close relationship between these two steps thus lending support to the incorporation of environmental factors in efficiency analysis

the finite moment log stable process and option pricing we document a surprising pattern in s p 500 option prices when implied volatilities are graphed against a standard measure of moneyness the implied volatility smirk does not flatten out as maturity increases up to the observable horizon of two years this behavior contrasts sharply with the implications of many pricing models and with the asymptotic behavior implied by the central limit theorem clt we develop a parsimonious model which deliberately violates the clt assumptions and thus captures the observed behavior of the volatility smirk over the maturity horizon calibration exercises demonstrate its superior performance against several widely used alternatives

estimation methods for stochastic volatility models a survey abstract although stochastic volatility sv models have an intuitive appeal their empirical application has been limited mainly due to difficulties involved in their estimation the main problem is that the likelihood function is hard to evaluate however recently several new estimation methods have been introduced and the literature on sv models has grown substantially in this article we review this literature we describe the main estimators of the parameters and the underlying volatilities focusing on their advantages and limitations both from the theoretical and empirical point of view we complete the survey with an application of the most important procedures to the s p 500 stock price index

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

statistical inference for random variance option pricing this article deals with the estimation of continuous time stochastic volatility models of option pricing we argue that option prices are much more informative about the parameters than are asset prices this is confirmed in a monte carlo experiment that compares two very simple strategies based on the different information sets both approaches are based on indirect inference and avoid any discretization bias by simulating the continuous time model we assume an ornstein uhlenbeck process for the log of the volatility a zero volatility risk premium and no leverage effect we do not pursue asymptotic efficiency or specification issues rather we stick to a framework with no overidentifying restrictions and show that given our option pricing model estimation based on option prices is much more precise in samples of typical size without increasing the computational burden

indian bank efficiency and productivity changes with undesirable outputs a disaggregated approach the objective of this study is to examine technical efficiency and productivity growth in the indian banking sector over the period from 2004 to 2011 we apply an innovative methodological approach introduced by chen et al 2011 and barros et al 2012 who use a weighted russell directional distance model to measure technical inefficiency we further modify and extend that model to measure tfp change with npls we find that the inefficiency levels are significantly different among the three ownership structure of banks in india foreign banks have strong market position in india and they pull the production frontier in a more efficient direction spbs and domestic private banks show considerably higher inefficiency we conclude that the restructuring policy applied in the late 1990s and early 2000s by the indian government has not had a long lasting effect

a new estimator of the fractionally integrated stochastic volatility model abstract many recent papers have considered models of fractional integration in the second moments of time series but none proposes an estimator of the fractionally integrated stochastic volatility model with a known asymptotic distribution in this paper i propose a gmm estimator of the fractionally integrated stochastic volatility model and prove that it is t1 2 consistent and asymptotically normal if the order of fractional integration is less than 0 25 i provide calculations of asymptotic standard errors and monte carlo evidence on its finite sample performance

conditionally heteroskedastic factor models with skewness and leverage effects conditional heteroskedasticity skewness and leverage effects are well known features of financial returns the literature on factor models has often made assumptions that preclude the three effects to occur simultaneously in this paper i propose a conditionally heteroskedastic factor model that takes into account the presence of both the conditional skewness and leverage effects this model is specified in terms of conditional moment restrictions and unconditional moment conditions are proposed allowing inference by the generalized method of moments gmm the model is also shown to be closed under temporal aggregation an application to daily excess returns on sectorial indices from the u k stock market provides a strong evidence for dynamic conditional skewness and leverage with a sharp efficiency gain resulting from accounting for both effects the estimated volatility persistence from the proposed model is lower than that estimated from models that rule out such effects i also find that the longer the returns horizon the fewer conditionally heteroskedastic factors may be required for suitable modeling and the less strong is the evidence for dynamic leverage some of these results are in line with the main findings of harvey and siddique 1999 and jondeau and rockinger 2003 namely that accounting for conditional skewness impacts the persistence in the conditional variance of the return process

a maximum likelihood approach for non gaussian stochastic volatility models a maximum likelihood approach for the analysis of stochastic volatility models is developed the method uses a recursive numerical integration procedure that directly calculates the marginal likelihood only conventional integration techniques are used making this approach both flexible and simple experimentation shows that the method matches the performance of the best estimation tools currently in use new stochastic volatility models are introduced and estimated the model that best fits recent stock index data is characterized by a highly non gaussian stochastic volatility innovation distribution this model dominates a model that includes an autoregressive conditional heteroscedastic effect in the stochastic volatility process and a model that includes a stochastic volatility effect in the conditional mean

determinants of bank market structure efficiency and political economy variables abstract this paper analyzes the influence of bank efficiency and political economy variables on bank market structure market share and market concentration using a panel data of 2 592 banks from 69 countries over the 1996 2002 period results indicate that the validity of the efficiency structure hypothesis to explain bank market structure varies across countries depending on national political economy variables in particular higher entry requirements more generous deposit insurance and higher extent of government bank ownership reduce the positive influence of bank efficiency on market share and market concentration however tighter restrictions on bank activities better quality of the contracting environment more market monitoring and more market orientation and development of the financial system increase the positive influence of bank efficiency on market share and market concentration jel classification g18 g21 g28 keywords banking structure efficiency regulations supervision institutions

total factor productivity growth technological progress and technical efficiency change dimensions of productivity change in yugoslavia 1965 1978 this article total factor productivity growth technological progress and technical efficiency change dimensions of productivity change in yugoslavia 1965 78 was reprinted with permission from the december 1982 issue of the economic journal this article proposes a methodology that decomposes total factor productivity change into two distinct elements technological progress and changes in technical efficiency technological progress is defined as the change in the best practice production frontier all other productivity change is attributed to technical efficiency change the article provides a theoretical framework for decomposing total factor productivity growth as well as a specification and estimation of the deterministic frontier production function it employs a programming technique to estimate a flexible functional form of the production frontier the paper then applies this technique to empirical data from yugoslavia of the period from 1965 to 1978 it concludes that for yugoslavia improvements to technical efficiency comprise the dominant contribution to total factor productivity change this agrees with accumulating evidence that in many developing economies productivity gain due to technological mastery of imported technology is substantial

technical scale and allocative efficiencies in u s banking an empirical investigation a nonparametric frontier approach is used to calculate the overall technical pure technical allocative and scale efficiencies for a sample of 322 independent banks the sample was drawn from the federal deposit insurance corporation tapes on the reports of condition and reports of income call reports for the year 1986 the results indicated a low level of overall efficiency the main source of inefficiency was technical in nature rather than allocative separate efficiency frontiers were constructed to test the effect of branching however the distributions of efficiency measures for branching and non branching banks were not found to be different

stochastic volatility movements in short term interest rates and bond option values abstract two classes of models for pricing interest rate contingent claims are compared the first contains standard single factor models while the second includes stochastic volatility variants of these it is demonstrated that incorporating stochastic volatility significantly improves the ability of the models to fit movements in short term interest rates the fundamental reason for this is that standard univariate models do not generate enough conditional heteroskedasticity the models are also compared on the basis of bond option prices when each is constrained to fit a particular yield curve the results suggest that stochastic volatility models will typically produce lower option values than corresponding single factor models particularly for near the money to deep out of the money options this is because estimated historical volatilities are significantly lower under stochastic volatility when single factor models are constrained to the same level of volatility as implied by stochastic volatility models in most cases the pricing differences become minor

graph efficiency and productivity measures an application to us agriculture hyperbolic measures of efficiency and productivity change with respect to a graph representation of production technology allow researchers to consider output and input dimensions simultaneously in measuring producer performance hyperbolic efficiency measures have been proposed but empirical implementation has not followed either in efficiency analysis or in productivity analysis the objectives of this paper are to define hyperbolic performance measures on a graph representation of production technology to motivate their use by stating some of their advantages over their radial counterparts and to introduce a direct formulation to calculate them making use of data envelopment analysis techniques the ideas are illustrated by calculating hyperbolic efficiency and malmquist productivity indexes for a us agricultural panel data set

productivity in multiple output public service a quadratic frontier function and malmquist index approach abstract the purpose of this study is to analyse the development of productivity and structural efficiency for an extended period of time 1974 to 1987 in the production of public social insurance services in sweden the analysis is based on the estimation of a deterministic flexible single input multiple output frontier production function the findings indicate a productivity decrease for the entire period from 1974 to 1987 of 18 percent in the period 1974 to 1982 productivity decreased by approximately 30 percent but at the end of the period 1984 to 1987 there was a productivity recovery of about 11 percent

leverage analysis of carbon market price fluctuation in china abstract china s carbon market has become increasingly active in recent years and thus it is of great significance to study the characteristics of the carbon allowance price fluctuation for the healthy and steady development of this market as leverage is common in asset prices in general financial markets this paper adopts the leverage stochastic volatility sv l model to characterize the price volatility of the five pilot carbon markets in china we first make a bayesian inference for the sv model then construct a monte carlo calculation process based on gibbs sampling for empirical analysis and finally compare the sv l model with the normal stochastic volatility sv n model the results show that the carbon price fluctuations of the five pilot markets are quite different among them shenzhen guangdong shanghai and beijing have a positive leverage effect and hubei has an anti leverage effect through comparative analysis we find that the sv l model is superior to the sv n model in terms of the degree of data fitting and simulation ability finally we offer suggestions on the development of china s unified carbon market

mergers and technical efficiency in spanish savings banks a stochastic distance function approach abstract the aim of this paper is to test the temporal variation of technical efficiency of spanish savings banks during the period 1985 1998 furthermore we test whether merged and non merged firms have different levels and temporal patterns of technical efficiency a stochastic output distance function r w shephard theory of cost and production functions princeton university press princeton nj is employed to accommodate multiple output technology the distance function provides the advantage that it does not need information about prices so it can accommodate the multi product nature of the financial sector only using the quantities as data an important point when the assumptions about perfectly competitive markets are unlikely to be met the temporal variation of efficiency is modeled extending the battese and coelli journal of productivity analysis 3 1992 153 169 approach in two ways relaxing the monotonicity of the temporal variation pattern of the efficiency term and allowing for different patterns of efficiency change between merged and non merged firms

cost efficiency in bangladesh banking does financial reform matter abstractthis article estimates the cost efficiency of the commercial banks of bangladesh in the context of financial reform employing the single stage stochastic frontier analysis sfa model the study uses a unique balanced panel data set comprising bank level annual data from the dominant commercial banks in bangladesh for the period 1983 2012 the results show that bank cost has fallen due to financial deregulation our results from the data envelopment analysis do not vary significantly that we obtained from the sfa in addition the presence of politically linked directors on the bank board has an adverse effect on efficiency these findings suggest that further reforms aiming at removing all sorts of political influence should continue to ensure competitive environment in order to achieve cost efficiency in the financial sector of the country

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

market risk and the concept of fundamental volatility measuring volatility across asset and derivative markets and testing for the impact of derivatives markets on financial markets this paper proposes an unobserved fundamental component of volatility as a measure of risk this concept of fundamental volatility may be more meaningful than the usual measures of volatility for market regulators fundamental volatility can be obtained using a stochastic volatility model which allows us to filter out the signal in the volatility information we decompose four ftse100 stock index related volatilities into transitory noise and unobserved fundamental volatility our analysis is applied to the question as to whether derivative markets destabilise asset markets we find that introducing european options reduces fundamental volatility while transitory noise in the underlying and futures markets does not show significant changes we conclude that for the ftse100 index introducing a new options market has stabilised both the underlying market and existing derivative markets

the static and dynamic environmental efficiency of renewable energy a malmquist index analysis of oecd countries abstract in recent years renewable energy and environmental efficiency have been interesting issues for both academics and industry actors when discussing sustainable development against this background the present study examines the environmental efficiency of renewable energy from the static and the dynamic perspective in 31 oecd countries a study conducted to understand the impact of renewable energy across countries as a non parametric methodology data envelopment analysis is used to measure environmental efficiency through multiple inputs and outputs labor capital and renewable energy supply are the three inputs while gdp is the desirable output and carbon emissions are the undesirable output to measure the dynamic environmental efficiency of renewable energy the malmquist productivity index is applied to estimate the average efficiency change from 2004 to 2011 the results demonstrate geographical differences in environmental efficiency across the oecd countries in oecd america have the highest average environmental efficiency and those in oecd europe have the largest standard deviation we also find that dynamic efficiency is influenced by the global financial crisis triggered in the united states further we show that oecd countries implement both catch up and frontier shift strategies to improve environmental efficiency

rationality of energy efficiency improvement targets under the pat scheme in india a case of thermal power plants abstract the market based perform achieve and trade scheme was introduced in india to enhance the energy efficiency of energy intensive sectors and for thermal power plants by reducing their specific energy consumption within the framework of a tradable certificate scheme international experience suggests that effectiveness of such schemes is greatly influenced by the assigned targets of the obligated units setting rational targets is thus a key aspect of successful implementation of the scheme in the present study we examine the rationality of the targets set for the power sector of india based on comparing it with energy saving potential of the plants and the targets assigned to the respective plants data envelopment analysis models are used to determine relative efficiency and energy saving potential the study results indicate that in most cases i the targets are much less than the actual potentials of the thermal power sector ii there exist substantial inefficiencies within the system in both energy use and managerial dexterity and iii if the sector realizes its full potential then the energy saving certificate market may witness a surplus of 4 7 million certificates on account of thermal power sector alone

the implied volatility smirk in the vxx options market abstractthe vxx option market has grown in popularity alongside the vxx etn market in activity and size of oustanding positions yet there is no complete vxx option pricing model this paper is the

a stochastic volatility model with markov switching this article presents a new way of modeling time varying volatility we generalize the usual stochastic volatility models to encompass regime switching properties the unobserved state variables are governed by a first order markov process bayesian estimators are constructed by gibbs sampling high medium and low volatility states are identified for the standard and poor s 500 weekly return data persistence in volatility is explained by the persistence in the low and the medium volatility states the high volatility regime is able to capture the 1987 crash and overlap considerably with four u s economic recession periods

assessing eco efficiency through the dea analysis and decoupling index in the latin america countries abstract this study was developed according to a two step approach in the first step we provide an investigation of the changes in eco efficiency under constant and variable return to scale while on a second step the evaluation of the decoupling elasticity will be given the impacts of energy economic and environmental determinants inputs on the performance indicators of eco efficiency were calculated as the inverse of the carbon intensity ratio of the gdp over the co2 emissions both from the world development indicators database the changes in eco efficiency and the decoupling elasticity between co2 emissions and economic growth changes data was used for 16 latin america countries according to five year periods from 1994 to 2013 for all the five time span considered it is worth noting that the degree of technical efficiency for the latin america countries is lower than the degree of technological efficiency thus indicating that a portion of the overall inefficiency is due to the fact that these countries are producing below the production frontier rather than to an inefficient use of technology on average the results have confirmed that the technological scale change in energy production is the dominant factor influencing the optimal production frontier in the sample of countries under analysis complementarily according to the mixed results from the decoupling analysis we may conclude that the increase decrease of the co2 per capita emissions was due to other economic and environmental factors rather than to a negative positive effect of the gdp growth rate

high low range in garch models of stock return volatility abstractwe suggest a simple and general way to improve the garch volatility models using the intraday range between the highest and the lowest price to proxy volatility we illustrate the method by modifying a garch 1 1 model to a range garch 1 1 model our empirical analysis conducted on stocks stock indices and simulated data shows that the range garch 1 1 model performs significantly better than the standard garch 1 1 model both in terms of in sample fit and out of sample forecasting ability

is there a single frontier in a single european banking market abstract this paper attempts to estimate comparable efficiency scores for european banks operating in the single market in the eu using a data set of more than 5000 large commercial banks from all major european banking markets over the period 1993 2004 the application of meta frontiers enables us to assess the existence of a single and integrated european banking market we find evidence in favor of a single european banking market characterized by cost and profit meta frontiers however compared to the meta frontier estimations pooled frontier estimations tend to underestimate efficiency levels and correlate poorly with country specific frontier efficiency ranks

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

on the normal inverse gaussian stochastic volatility model in this article the normal inverse gaussian stochastic volatility model of barndorff nielsen is extended the resulting model has a more flexible lag structure than the original one in addition the second and fourth order moments important properties of a volatility model are derived the model can be considered either as a generalized autoregressive conditional heteroscedasticity model with nonnormal errors or as a stochastic volatility model with an inverse gaussian distributed conditional variance a simulation study is made to investigate the performance of the maximum likelihood estimator of the model finally the model is applied to stock returns and exchange rate movements its fit to two stylized facts and its forecasting performance is compared with two other volatility models

the effects of deregulation on the performance of financial institutions the case of spanish savings banks this paper examines the impact of regulatory reform on the performance of spanish savings banks the focus is whether increased competition brought on by deregulation affected performance of banks over time output technical efficiency which is defined in terms of the production possibility frontier is also examined empirical results show declining levels of output technical efficiency along with a significantly high rate of technical progress in spite of declining technical efficiency during this period evidence of an increasing trend in productivity growth is found

regional analysis across colombian departments a non parametric study of energy use abstract the analysis of energy use is important in emerging economies and especially in the manufacturing industries as energy is a key factor of sustainable development this research analyses and evaluates the features of regional energy use and efficiency across colombian departments in the manufacturing industries for the period between 2005 and 2013 by applying two malmquist data envelopment analysis models the results indicate significant difference in energy use and efficiency across colombian departments in the manufacturing industries the results of the malmquist indexes determine that various manufacturing industries across colombian departments have a high potential to increase energy efficiency several manufacturing industries across colombian departments have experienced gains in productivity a growth in efficiency an improvement in the relationship between inputs and outputs and scale production and advances in innovation through new technologies this technique allows to make comparisons and improves energy policies to increase energy efficiency and decrease co 2 emissions the application of panel data models indicate that increases in energy prices exports and productivity lead to better energy use while a higher presence of energy intensive sectors and small and medium enterprises across colombian departments reduce energy efficiency the methods selected in this research generated consistent robust and reliable estimates related to energy use and co 2 emissions for regional studies the findings of this study indicate that diverse energy policies should implement in the industrial sector across colombian departments and that they should contribute to improvements in energy use especially in small and medium companies and energy intensive sectors

dynamic stochastic copula models estimation inference and applications we propose a new dynamic copula model where the parameter characterizing dependence follows an autoregressive process as this model class includes the gaussian copula with stochastic correlation process it can be viewed as a generalization of multivariate stochastic volatility models despite the complexity of the model the decoupling of marginals and dependence parameters facilitates estimation we propose estimation in two steps where rst the parameters of the marginal distributions are estimated and then those of the copula parameters of the latent processes volatilities and dependence are estimated using efficient importance sampling eis we discuss goodness of t tests and ways to forecast the dependence parameter for two bivariate stock index series we show that the proposed model outperforms standard competing models

bayesian unit root testing in stochastic volatility models this article uses a bayesian unit root test in stochastic volatility models the time series of interest is the volatility that is unobservable the unit root testing is based on the posterior odds ratio which is approximated by markov chain monte carlo methods simulations show that the testing procedure is efficient for moderate sample size the unit root hypothesis is rejected in seven market indexes and some evidence of nonstationarity is observed in the twsi of taiwan

close form pricing formulas for coupon cancellable cocos abstract contingent convertibles cocos are contingent capital instruments which convert into shares or have a principal write down if a trigger event takes place cocos exhibit the undesirable so called death spiral effect by actively hedging the equity risk investors can unintentionally force the conversion by making the share price deteriorate and eventually trigger the conversion in this paper we introduce and analyse coupon cancellable cocos coca cocos a new type of coco where coupons can be cancelled during the lifetime of the note we provide closed form pricing formulas for coca cocos we study the impact of coupon cancellations in the price of the bond and we show that death spiral effect is reduced

malmquist type indices in the presence of negative data an application to bank branches in this paper we develop an index and an indicator of productivity change that can be used with negative data for that purpose the range directional model rdm a particular case of the directional distance function is used for computing efficiency in the presence of negative data we use rdm efficiency measures to arrive at a malmquist type index which can reflect productivity change and we use rdm inefficiency measures to arrive at a luenberger productivity indicator and relate the two the productivity index and indicator are developed relative to a fixed meta technology and so they are referred to as a meta malmquist index and meta luenberger indicator we also address the fact that vrs technologies are used for computing the productivity index and indicator a requirement under negative data which raises issues relating to the interpretability of the index we illustrate how the meta malmquist index can be used not only for comparing the performance of a unit in two time periods but also for comparing the performance of two different units at the same or different time periods the proposed approach is then applied to a sample of bank branches where negative data were involved the paper shows how the approach yields information from a variety of perspectives on performance which management can use

pesticide use environmental spillovers and efficiency a dea risk adjusted efficiency approach applied to dutch arable farming pesticides are widely used by crop producers in developed countries to combat risk associated with pests and diseases however their indiscriminate use can lead to various environmental spillovers that may alter the agricultural production environment thus contributing to production risk this study utilises a data envelopment analysis dea approach to measure performance of arable farms incorporating pesticides environmental spillovers and output variance as undesirable outputs in the efficiency analysis and taking explicitly into account the effect of pesticides and other inputs on production risk the application focuses on panel data from dutch arable farms over the period 2003 2007 a moment approach is used to compute output variance providing empirical representations of the risk increasing or decreasing nature of the used inputs finally shadow values of risk adjusted inputs are computed we find that pesticides are overused in dutch arable farming and there is a considerable evidence of the need for decreasing pesticides environmental spillovers

real and spurious long memory properties of stock market data we test for the presence of long memory in daily stock returns and their squares using a robust semiparametric procedure of lobato and robinson spurious results can be produced by nonstationarity and aggregation we address these problems by analyzing subperiods of returns and using individual stocks the test results show no evidence of long memory in the returns by contrast there is strong evidence in the squared returns

a note on banking efficiency in portugal new vs old banks following entry into the european community in 1986 portugal transformed rapidly its repressed banking system with deregulation the opening of borders the granting of new banking licenses and privatization in a more competitive banking system one would expect a priori an increase in operational efficiency this paper attempts to quantify the magnitude of efficiency gains over the years 1990 1995 moreover the paper documents the relative efficiency performance of new domestic banks not hampered by a legacy of inefficiency from the past they could operate nearer the efficiency frontier the case of portugal provides unique information on the joint effect of deregulation and the granting of new banking licenses on the change in operational efficiency of a previously repressed banking system

a realized stochastic volatility model with box cox transformation this article presents a new class of realized stochastic volatility model based on realized volatilities and returns jointly we generalize the traditionally used logarithm transformation of realized volatility to the box cox transformation a more flexible parametric family of transformations a two step maximum likelihood estimation procedure is introduced to estimate this model on the basis of koopman and scharth 2013 simulation results show that the two step estimator performs well and the misspecified log transformation may lead to inaccurate parameter estimation and certain excessive skewness and kurtosis finally an empirical investigation on realized volatility measures and daily returns is carried out for several stock indices

a non linear filtering approach to stochastic volatility models with an application to daily stock returns this paper develops a new model for the analysis of stochastic volatility sv models since volatility is a latent variable in sv models it is difficult to evaluate the exact likelihood in this paper a non linear filter which yields the exact likelihood of sv models is employed solving a series of integrals in this filter by piecewise linear approximations with randomly chosen nodes produces the likelihood which is maximized to obtain estimates of the sv parameters a smoothing algorithm for volatility estimation is also constructed monte carlo experiments show that the method performs well with respect to both parameter estimates and volatility estimates we illustrate our model by analysing daily stock returns on the tokyo stock exchange since the method can be applied to more general models the sv model is extended so that several characteristics of daily stock returns are allowed and this more general model is also estimated copyright 1999 john wiley sons ltd

finite sample properties of a qml estimator of stochastic volatility models with long memory abstract we analyse the finite sample properties of a qml estimator of lmsv models we show up its poor performance for realistic parameter values we discuss an identification problem when the volatility has a unit root an empirical analysis illustrates our findings

long range dependence in daily stock volatilities recent empirical studies show that the squares of high frequency stock returns are long range dependent and can be modeled as fractionally integrated processes using for example long memory stochastic volatility models are such long range dependencies common among stocks are they caused by the same sources of variation in this article we classify daily stock returns of standard and poor 500 companies on the basis of a company s size and its business or industrial sector and estimate the strength of long range dependence in the stock volatilities using two different methods almost all of the companies analyzed exhibit strong persistence in volatility we then use a canonical correlation method to identify common long range dependent components in groups of companies finding strong evidence in support of common persistence in volatility finally we use a chi squared test to study the effects of company size and sector on the number of common long range dependent volatility components detected in g