Determinants of banks’ Nerlovian economic efficiency: a DEA-bootstrap approach

ABSTRACT

This study aims to evaluate the Nerlovian economic efficiency of Taiwanese commercial banks and its determinants by assuming the presence of an imperfectly competitive market using a two-stage estimation procedure: Nerlovian economic inefficiency and its components’ price, technical and allocative efficiencies computed and decomposed in the first stage, which are regressed on the explanatory variables with a bootstrapped truncated approach in the second stage. The estimation results show that in the first-stage analysis, the Nerlovian economic inefficiency of banks is primarily due to allocative inefficiency, and indicate the existence of price inefficiency in Taiwan. In the second-stage analysis, the results confirm that both the years in operation of the bank and the ratio of credit loans are the main determinants of banking profit efficiency. In addition, this study not only shows that publicly owned banks contribute to better price efficiency but also proves that loan loss reserve to total assets is negatively associated with technical efficiency. The equity ratio exerts an insignificant favourable impact on allocative efficiency. The findings of this research are essential for bank managers in Taiwan.     

Firm credit risk in normal times and during the crisis: are banks less risky?

Bank solvency was a major issue during the financial crisis of 2007–2009, but bank credit default swap (CDS) spreads were almost always below nonbank CDS spreads. What is the reason for this gap? Are banks perceived to be less risky? This study empirically decomposes CDS premia for 45 major banks and 167 large industrial firms from Europe and the US. It turns out that expected losses are usually somewhat lower for banks than for nonbanks, but expected losses contribute relatively little to the observed CDS premia. CDS spreads for banks and nonbanks differ mainly because market participants require a lower compensation for bearing bank credit risk. The quite persistent difference in the credit risk premia for banks and nonbanks disappears only temporarily during the crisis.     

Firm size,credit scoring accuracy and banks’ production of soft information

Research on SME bank financing generally assumes that smaller firms are more opaque from a lender’s perspective. We propose that the discriminatory power of credit scoring models can be thought of as a proxy for firm opaqueness, given that when these models perform poorly, lenders must invest in the production of ‘soft information’ to supplement the financial data used in these models. Measuring the discriminatory power of probit default models across quintiles of the Irish SME size distribution, we show that our proxy for firm opaqueness increases monotonically as firms get smaller. This finding supports an assumption that is the starting point to a wide strand of literature on SME bank financing. Our findings can also be interpreted as providing an insight to the literature on the determinants of banks’ choice of lending technology. While smaller banks may, as found in a substantial previous literature, produce larger amounts of ‘soft information’ due to their organizational advantages, they may also do so out of necessity: hard-information-based default modelling is less effective among smaller firms, thereby forcing banks that lend to these borrowers to invest more in relationship banking technologies to retain competitiveness.     

A DEA study to evaluate the relative efficiency and investigate the reorganization of the credit department of farmers’ associations in Taiwan

In this study data envelopment analysis models were applied to evaluate the relative efficiencies of the credit departments of farmers’ associations (CDFAs) in Taiwan. The findings show that the overall efficiency scores are not best and scale for CDFAs in Taiwan is relative small. It implies that the reorganization of the CDFAs may be appropriate if more efficient organization is to be pursued. Thus, this study investigated CDFAs reorganization to increase the efficiency. The proposed CDFAs reorganization alternatives have higher average efficiency scores than the current CDFAs.     

Does ownership concentration affect banks’ credit risk? Evidence from MENA emerging markets

The purpose of this study is to explore the impact of ownership concentration on banks’ credit risk. The study employs a dynamic panel approach using data from 98 banks listed in the 10 Middle East and North African (MENA) emerging stock markets between 2003 and 2016. To better understand the nature of the relationship between ownership concentration and bank credit risk and how this relationship is shaped by the recent financial crisis, we conducted a pre- and postcrisis analysis. Our findings document a positive relationship between ownership concentration and nonperforming loans in the precrisis period, which surprisingly reverses during the postcrisis period. We argue that the reversal of this relationship is driven by changes in controlling shareholders’ risk aversion, behavior, and attitude prompted by the financial crisis. Given that central banks are entrusted with forestalling banks’ failure, incorporating ownership concentration, as a fundamental determinant of banks’ credit risk, is crucial to anticipate future financial calamities. Our findings highlight the gravity of agency problems in emerging MENA markets. Reinforcing firm-level as well as country-level governance mechanisms is crucial to restore a sound banking system, enhance markets’ integrity, and increase investors’ confidence.     

Estimating the economic costs of electricity deficit using input–output analysis: the case of Brazil

The objective of this article is to present a methodology to estimate the marginal cost of electric energy deficit in the long-term using input–output (I–O) analysis. We obtain a deficit marginal cost (DMC) curve that is not limited to a small number of levels, such as the curve used currently in Brazil, which is limited to four levels. The marginal cost of deficit is an important exogenous parameter used in the model’s chain to calculate the operation’s marginal cost and short-term market pricing. The electric energy deficit is a temporary lack of continuity in meeting demand, which is usually predictable and involves prior notice to the consumer. The cause of this deficit may be a lack of investment and/or low water inflows that impact the production of hydroelectric power plants. In this study, the marginal cost of the deficit is obtained from restrictions on the provision of electricity for productive sectors and by calculating the corresponding impact on the gross domestic product. The proposed methodology can be used with data from the I–O matrix of any country to estimate its marginal cost of electric energy deficit.     

On the assessment of the performance in earnings management for the banking industry: the case of China’s banks

Earnings management is popular in the banking industry. Earnings can be manipulated by discretionary loan loss provisions (DLLP). Analysing the trajectories of banks’ DLLP (i.e. their change in DLLP over time) is an effective way to assess the performance in earnings management for the banking industry, but seems not to have been addressed in the earnings management literature. In this study, we analyse the trajectories of DLLP with the yearly data from 2007 through 2012 for four types of banks in China. The results have indicated that state-owned banks, policy banks and city commercial banks seem to manage earnings well. Cautionary notes about bank risks are provided.     

A note on “Rethinking liquidity creation: Banks,shadow banks and the elasticity of finance”

Abstract

In their recent article, Yeva Nersisyan and Flavia Dantas proposed to amend the endogenous money theory to account for the activity of nonbank financial institutions (NBFIs) and of foreign banks. It is indeed argued that the traditional post Keynesian and circuitist approaches are overly narrow because they rely on a limited definition of money. Consequently, these approaches are focused on commercial banks (that create money) and regard other financial institutions as mere intermediaries that intermediate funds from surplus units (savers) toward deficit units (borrowers). Because it treats NBFIs as mere intermediaries, the authors argue that the traditional post Keynesian framework is no longer relevant for the analysis of the contemporary financial system. We believe that this critique is not justified. Using balance sheet analysis, we show that the destabilizing role of NBFIs can be taken into account within the traditional post-Keynesian framework.     

Productivity and efficiency of Vietnamese banking system: new evidence using Färe-Primont index analysis

This article aims to provide a clearer view on the recent evolutions of the Vietnamese banking system that can be useful to public authority when taking restructuring decisions. This article focuses on the evolution of productivity of Vietnamese banks over the period 2008 to 2012, and on the evolution of the different components of this productivity: technical change, pure technical efficiency and mix and scale efficiency. The methodology draws from very recent developments in index theory in the design of multiplicative-complete economically ideal indexes, using Färe-Primont productivity indexes to measure productivity. This methodology is applied to a balanced panel of Vietnamese banks. The results complement observations usually made on the recent development of the Vietnamese banking system. They show that the State Bank of Vietnam’s restructuring policy cannot focus only on either the insufficient size of banks or a better management of these banks in terms of the mix of outputs. Both must be considered simultaneously, not only through bank mergers but also in setting management criteria in line with criteria defined internationally.     

Austrian economics and development: The case of Sudha Shenoy’s analysis

The aim of this paper is to describe Sudha Shenoy’s use of Menger, Mises, and Hayek (she explicitly called them ‘the older Austrians’) to explain development and growth. Her aim was to show that the application of Austrian economics, based on the notions of capital structure and division of labor, embedded in a specific legal framework (common law), historically promoted development and growth (as in early modern England); and can promote development and growth in underdeveloped countries (her specific focus was India). Shenoy also claimed that any policymaking as well as government’s intervention are either useless or dangerous, having two main dysfunctional effects, which are often interrelated; namely, make development slower (or even stop it), and increase corruption.     

Financial innovation,systematic risk and commercial banks’ stability in China: theory and evidence

We are dedicated to revealing the impacts of financial innovation and systematic risk on commercial banks’ stability in China, both theoretically and empirically. We established a theoretical model and derived a theoretical mechanism from this model revealing two distinctive patterns of the impacts determined by the profitability of financial derivatives: the impacts of financial innovation and systematic risk on banks’ stability in China are linear under the circumstances of a positive expected risk premium of financial derivatives; conversely, the impacts can be linear, U-shaped or cubic when the expected risk premium is negative. We make three propositions to analyse the patterns and conditions of these impacts in detail. In the empirical analysis, we do not focus only on the banking industry but also on individual commercial banks. The empirical results demonstrate that the impact of financial innovation on both the banking industry’s and most individual commercial banks’ stability are U-shaped, and the impact of systematic risk on the banking industry’s and on only one commercial bank’s stability are significantly linear, which confirms certain conditions mentioned in the theoretical propositions. Finally, the study’s conclusions are presented, and the contributions of the article to future study are also mentioned.     

Factor analysis and structural equation model for patent analysis: a case study of Apple’s technology

In this study, we analyse patent data for technology analysis (TA) because patents are rich in information on developed technology. The results of TA can be used to perform more efficient research and development (R&D) planning. Most companies are trying to develop new and innovative technologies to improve their competitive positions. Research involving TA has been introduced in a variety of fields. Most of the published research analysed original variables related to a target technology. However, it is necessary to analyse the latent variables as well as the original variables included in the technology to achieve a better TA model. Therefore, we propose a factor analysis and a structural equation model for patent analysis. In addition, we use Apple’s patents to determine the target technology. In our case study, we analyse Apple’s technologies by latent variables. Our case study shows how the proposed model is applied to Apple’s R&D planning.     

Macroeconomic impacts of China’s foreign exchange reserve accumulation: a vector autoregression analysis using pure-sign-restriction approach

This study employs pure-sign-restriction approach analysing the macroeconomic impacts of foreign reserve accumulation and discusses the foreign exchange sterilization behaviour of the People’s Bank of China (PBoC). Sign restriction analysis shows that the effects of reserve accumulation shock are initially ambiguous on all variables, but later a positive influence only on base money can be observed. With regard to sterilization intervention, the effect is significant even though it degrades gradually over time. In China, the monetary authority actively undertakes sterilization intervention in order to remove the influence of passive release of base money caused by foreign reserve accumulation.     

Kuznets’ swings and intangible investments in forecast: the case of Greece

This article offers an analysis of the relationship between intangible investments and the pattern of local economic productivity in Greece. There are two main objectives in the article: (i) to explore the pattern of economic development in the country; (ii) to find evidence whether this pattern – and its trend – can be better predicted through a forecasting model including intangible investments (next to other relevant factors). To operationalize our study, we use the World Bank Development Indicators database which offers a time-series for Greece for the period from 1981 till date. This data set has two alternative relevant measures for intangible investments: knowledge- and health-related investments. In our analysis we employ first, a centred moving average with a stochastic estimation of the trend, and second a double exponential smoothing, as two alternative (‘deductive’ and next ‘inductive’) approaches to identifying a trend in our data for Greece. We find evidence for a Kuznets swing type of cyclical pattern for Greece – confirmed by triangulation. Most significantly, we also find a relationship between local economic development and intangible investments. These results prompt an evidence-based query about underlying Myrdalian and Tieboutian foundations of wave theory for understanding local economic crises.     

On the informative value of the EU-wide stress tests and the determinants of banks’ stock return reactions

Empirica - We examine the informative value of the 2016 and 2018 supervisory EU stress tests on the basis of bank stocks and Credit Default Swaps’ abnormal returns behavior. Our conclusions...     

On the efficiency of ‘single window’

In many countries, the process of obtaining government approval for different projects involves interaction with multiple government agencies at various levels. This often makes the approval process inefficient by unnecessary lengthening it. In this paper we study the effect of a re-organization of the approval process towards making it a single window clearance system, on the efficiency of the entire process. We have used the expected queue length and the expected waiting time in the system at the stochastic steady state as measures of inefficiency of an approval system.     

Employment and the risk of domestic violence: does the breadwinner’s gender matter?

This article studies the effect on the risk of female victimization of the employment status of the woman and her partner. We use individual-level data from the violence against women surveys for Spain, which also provide information on income and a rich set of sociodemographic characteristics. To address the potential endogeneity of the binary employment indicators, we exploit exogenous geographical information on the employment and unemployment rates by gender and age, within a multivariate probit framework. Our estimation results show that male partner employment plays a major role in the risk of physical violence, while female employment only lowers it when her partner is employed too. The lowest risk appears for more egalitarian couples in which both partners are employed.