Quiet Life No More? Corporate Bankruptcy and Bank Competition

2018 ◽  
Vol 53 (2) ◽  
pp. 581-611 ◽  
Author(s):  
Todd Gormley ◽  
Nandini Gupta ◽  
Anand Jha
Keyword(s):  
Banking Sector ◽  
Large Data ◽  
Bank Competition ◽  
Corporate Bankruptcy ◽  
Considerable Effort ◽  
Banking Competition ◽  
Data Set ◽  
Sector Reform ◽  
Public And Private ◽  
Bank Entry

Pursuing delinquent borrowers requires considerable effort, and creditors may lack the incentive to exert this costly effort in uncompetitive banking sectors. To examine this, we use a uniquely large data set of public and private corporate bankruptcy filings spanning a banking-sector reform that deregulated bank entry across different regions of India. We find that increased banking competition is associated with more firms seeking a stay on assets, a decline in bankruptcy duration, and a shift toward workouts rather than liquidations. The results are consistent with creditors exerting greater effort to pursue delinquent firms and resolve bankruptcies more quickly when competition increases.

scholarly journals Implications of Small Bargaining Units and Enterprise Unions on Bargaining Disputes: A Look into the Future?

2005 ◽  
Vol 54 (3) ◽  
pp. 503-526 ◽  
Author(s):  
Robert Hebdon ◽  
Douglas Hyatt ◽  
Maurice Mazerolle
Keyword(s):  
Conflict Resolution ◽  
Collective Bargaining ◽  
Large Data ◽  
Internal Conflict ◽  
Data Set ◽  
Public And Private ◽  
The Public ◽  
Negotiated Settlements ◽  
Large Data Set ◽  
The Future

Using a large data set of large and small bargaining units, this paper examines the implications for collective bargaining disputes of the evolution toward small bargaining units and the move to nontraditional forms of representation. It is found that smaller bargaining units, as well as independent unions in both the public and private sectors, are less likefy to reach an impasse. This finding supported those hypothesizing the cooperative nature of these organizations. These two sets of results suggest that the movement to smaller bargaining units, and towards more independent representation, will result in a higher proportion ofdirectly negotiated settlements in the future. However, a reduced incidence of impasse does not necessarily mean a reduction in industrial conflict. We found evidence of a shift away from a collective expression of conflict such as strikes, to more individual expressions. Thus, in the future, there may be a greater need for internal conflict resolution Systems.

scholarly journals Effect of Bank Competition on Financial Stability: Empirical Evidence from Nepal

2018 ◽  
Vol 13 ◽  
pp. 19
Author(s):  
Surya Bahadur G.C. ◽  
Gyaneswar Sharma
Keyword(s):  
Financial Stability ◽  
Fixed Effects ◽  
Banking Sector ◽  
Banking System ◽  
System Stability ◽  
Annual Data ◽  
Bank Competition ◽  
Financial Industry ◽  
Banking Competition ◽  
The Impact

<p>There are two hypotheses about the relationship between competition and financial stability in the banking system: “competition-fragility” view argues that competition makes banks more likely totake excessive risks, thereby leading to fragility, while “competition-stability” view suggests that higherinterest rates in less competitive environments may cause borrowers to take higher risks,resulting in higher probability of non-performing loans and a more fragile system. This paper empirically examines the impact of competition on Nepalese banking system employing annual data of commercial banks from 1999 to 2012 period using fixed effects panel data model. The study period represents the era of rapid growth in financial institutions in Nepal. The HHI and n-bank concentration ratios are used as measure of competition while Z-index and nonperforming loans ratioare used as proxies of financial stability. The effects of macroeconomic factors and bank specific indicators are also taken into account. The results reveal that there is apositive relationship between greater banking competition and financial stability in Nepal, supporting the “competition-stability” view. Competition in banking sector is found to result in decrease in credit risk and contribute for financial stability. Mixed results have been achieved incase of the impact of bank competition on overall stability. The findings indicate that both higher concentration and higher competition are detrimental for stability. Hence, policymakers should facilitate further consolidation in the financial industry, however, it should be ensured that excessive consolidation doesn’t result in an environment that hinders competition. In addition,besides competition level in the banking system, macroeconomic situation of the country is found to be an important determinant of banking system stability.</p><p><em> </em><strong><em>Economic Literature</em></strong><em>, </em>Vol. XIII August 2016, page 19-31</p>

Whither competition in Malaysia’s banking industry ex post a restructuring

2018 ◽  
Vol 45 (2) ◽  
pp. 263-282 ◽  
Author(s):  
Tinfah Chung ◽  
Ariff Mohd
Keyword(s):  
Banking Sector ◽  
Monopolistic Competition ◽  
Banking Industry ◽  
Banking System ◽  
Banking Competition ◽  
Data Set ◽  
Middle Income ◽  
Content Type ◽  
Documentary Analysis ◽  
Ex Post

Purpose The purpose of this paper is to report how banking competition has fared ex post a major consolidation exercise completed during 2002-2004, which led to a complete restructuring of the sector in Malaysia. Nothing is known about the competitiveness of banking system ex post a major consolidation of banks in any country including Malaysia, a middle-income economy. Design/methodology/approach The authors apply two models, the Panzar and Rosse (1997) and the Lerner index (1934). The two competitiveness measures are quite refined, well received by researchers, but has yet been applied to measure banking sector competitiveness of a middle-income country to characterize post-merger behavior using post-global-crisis data set. The data were complemented by documentary analysis, including brand documents, descriptions of internal processes and copies of employee magazine articles. Findings The results indicate that, after 11 years of consolidation, the banking sector is not operating under perfect or monopolistic competition. Malaysia’s banking industry continues to benefit the charter holders at increasingly lower level because a cartel-like environment still provides trade-off of competition costs before 2002/2004 with the costs from a cartel-like industry structures now. There is only a weak evidence that, in recent years, the banking sector is moving toward more competition. Research limitations/implications The chosen area of research is to test the response of the banking sector ex post consolidation after a crisis. It enables researcher to compare results with those of other countries and may not be generalizable. Practical implications The findings reported in this study using corroborating measures for the first time, appear to suggest increasing concentration from consolidation may lead to the undesirable cartel-like industry structure where the exercise of market power in the name of stability may not be welfare promoting. Originality/value This paper fulfills an identified need to study how the banking sector has performed ex post consolidation after a crisis.

Some statistical and CI models to predict chaotic high-frequency financial data

2020 ◽  
Vol 39 (5) ◽  
pp. 6419-6430
Author(s):  
Dusan Marcek
Keyword(s):  
Time Series Data ◽  
Moving Average ◽  
Methodological Approach ◽  
Back Propagation ◽  
Large Data ◽  
Series Data ◽  
Data Set ◽  
Training Time ◽  
Optimal Population ◽  
Forecast Time

To forecast time series data, two methodological frameworks of statistical and computational intelligence modelling are considered. The statistical methodological approach is based on the theory of invertible ARIMA (Auto-Regressive Integrated Moving Average) models with Maximum Likelihood (ML) estimating method. As a competitive tool to statistical forecasting models, we use the popular classic neural network (NN) of perceptron type. To train NN, the Back-Propagation (BP) algorithm and heuristics like genetic and micro-genetic algorithm (GA and MGA) are implemented on the large data set. A comparative analysis of selected learning methods is performed and evaluated. From performed experiments we find that the optimal population size will likely be 20 with the lowest training time from all NN trained by the evolutionary algorithms, while the prediction accuracy level is lesser, but still acceptable by managers.

Employees Attitude towards E-Learning in Banking Sector -An Empirical Study of Shivamogga District

2019 ◽  
Vol 118 (10) ◽  
pp. 88-106
Author(s):  
Dr.Mamatha. S.M ◽  
Mr.Panduranganagouda Honnali
Keyword(s):  
Banking Sector ◽  
Employee Performance ◽  
Private Bank ◽  
Public And Private ◽  
The Public ◽  
Body Of Knowledge ◽  
E Learning ◽  
Banking Structure ◽  
Bank Employees ◽  
Methods Of Learning

E-learning has become a global phenomenon and it is the central theme of many industries and organizations for the additional method of training which can complement traditional methods of learning. The practices of E-learning and Learning management system (LMS) in the banking sector make the drastic changes in the employee performance and their knowledge regarding job in the modern banking structure. This study provides a comprehensive body of knowledge about LMS and e-learning, in general, within the public and private bank in India. The main objective of this paper to understand and analyze the attitude of employees towards E-learning practices in banking sector in Shivamogga district. The data was analyzed by using exploratory factor analysis, based on the responses received from a random the sample 50 of the bank employees working in the private sector banks.

Empirical Study On Attributes Leading To Satisfaction Among Bank Customer

2019 ◽  
Vol 118 (7) ◽  
pp. 101-110
Author(s):  
Ms.U.Sakthi Veeralakshmi ◽  
Dr.G. Venkatesan
Keyword(s):  
Service Quality ◽  
Behavioral Intention ◽  
Banking Sector ◽  
Positive Impact ◽  
Quality Performance ◽  
Public And Private ◽  
The Difference ◽  
The Individual ◽  
Private Banking ◽  
Service Gap

This research aims at measuring the service quality in public and private banking sector and identifying its relationship to customer satisfaction and behavioral intention. The study was conducted among 500 bank customers by using revised SERVQUAL instrument with 26 items. Behavioral intention of the customers was measured by using the behavioral intention battery. The researcher has used a seven point likert scaling to measure the expected and perceived service quality (performance) and the behavioral intention of the customer. The instrument was selected as the most reliable device to measure the difference-score conceptualization. It is used to evaluate service gap between expectation and perception of service quality. Modifications are made on the SERVQUAL instrument to make it specific to the Banking sector. Questions were added to the instrument like Seating space for waiting (Tangibility), Parking space in the Bank (Tangibility), Variety of products / schemes available (Tangibility), Banks sincere steps to handling Grievances of the customers (Responsiveness). The findings of the study revealed that the customer’s perception (performance) is lower than expectation of the service quality rendered by banks. Responsiveness and Assurance SQ dimensions were the most important dimensions in service quality scored less SQ gap. The study concluded that the individual service quality dimensions have a positive impact on Overall Satisfaction.

In silico Prediction of Inhibitory Constant of Thrombin Inhibitors Using Machine Learning

2019 ◽  
Vol 21 (9) ◽  
pp. 662-669 ◽  
Author(s):  
Junnan Zhao ◽  
Lu Zhu ◽  
Weineng Zhou ◽  
Lingfeng Yin ◽  
Yuchen Wang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Prediction Models ◽  
Regression Tree ◽  
Large Data ◽  
Thrombin Inhibitors ◽  
Coagulation Cascade ◽  
Gradient Boosting ◽  
Support Vector ◽  
Data Set ◽  
Descriptor Selection

Background: Thrombin is the central protease of the vertebrate blood coagulation cascade, which is closely related to cardiovascular diseases. The inhibitory constant Ki is the most significant property of thrombin inhibitors. Method: This study was carried out to predict Ki values of thrombin inhibitors based on a large data set by using machine learning methods. Taking advantage of finding non-intuitive regularities on high-dimensional datasets, machine learning can be used to build effective predictive models. A total of 6554 descriptors for each compound were collected and an efficient descriptor selection method was chosen to find the appropriate descriptors. Four different methods including multiple linear regression (MLR), K Nearest Neighbors (KNN), Gradient Boosting Regression Tree (GBRT) and Support Vector Machine (SVM) were implemented to build prediction models with these selected descriptors. Results: The SVM model was the best one among these methods with R2=0.84, MSE=0.55 for the training set and R2=0.83, MSE=0.56 for the test set. Several validation methods such as yrandomization test and applicability domain evaluation, were adopted to assess the robustness and generalization ability of the model. The final model shows excellent stability and predictive ability and can be employed for rapid estimation of the inhibitory constant, which is full of help for designing novel thrombin inhibitors.

scholarly journals Correlation between the structure and skin permeability of compounds

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ruolan Zeng ◽  
Jiyong Deng ◽  
Limin Dang ◽  
Xinliang Yu
Keyword(s):  
Large Data ◽  
Qsar Model ◽  
Coefficient Of Determination ◽  
Support Vector ◽  
Skin Permeability ◽  
Data Set ◽  
Test Set ◽  
Svm Algorithm ◽  
Svm Model ◽  
Toxicity Relationship

AbstractA three-descriptor quantitative structure–activity/toxicity relationship (QSAR/QSTR) model was developed for the skin permeability of a sufficiently large data set consisting of 274 compounds, by applying support vector machine (SVM) together with genetic algorithm. The optimal SVM model possesses the coefficient of determination R2 of 0.946 and root mean square (rms) error of 0.253 for the training set of 139 compounds; and a R2 of 0.872 and rms of 0.302 for the test set of 135 compounds. Compared with other models reported in the literature, our SVM model shows better statistical performance in a model that deals with more samples in the test set. Therefore, applying a SVM algorithm to develop a nonlinear QSAR model for skin permeability was achieved.

scholarly journals Galaxy spin direction distribution in HST and SDSS show similar large-scale asymmetry

2020 ◽  
Vol 37 ◽  
Author(s):  
Lior Shamir
Keyword(s):  
Large Scale ◽  
Spiral Galaxies ◽  
Hubble Space Telescope ◽  
Gravitational Interaction ◽  
Large Data ◽  
Sloan Digital Sky Survey ◽  
Data Sets ◽  
Dipole Axis ◽  
Data Set ◽  
The Asymmetry

Abstract Several recent observations using large data sets of galaxies showed non-random distribution of the spin directions of spiral galaxies, even when the galaxies are too far from each other to have gravitational interaction. Here, a data set of $\sim8.7\cdot10^3$ spiral galaxies imaged by Hubble Space Telescope (HST) is used to test and profile a possible asymmetry between galaxy spin directions. The asymmetry between galaxies with opposite spin directions is compared to the asymmetry of galaxies from the Sloan Digital Sky Survey. The two data sets contain different galaxies at different redshift ranges, and each data set was annotated using a different annotation method. The results show that both data sets show a similar asymmetry in the COSMOS field, which is covered by both telescopes. Fitting the asymmetry of the galaxies to cosine dependence shows a dipole axis with probabilities of $\sim2.8\sigma$ and $\sim7.38\sigma$ in HST and SDSS, respectively. The most likely dipole axis identified in the HST galaxies is at $(\alpha=78^{\rm o},\delta=47^{\rm o})$ and is well within the $1\sigma$ error range compared to the location of the most likely dipole axis in the SDSS galaxies with $z>0.15$ , identified at $(\alpha=71^{\rm o},\delta=61^{\rm o})$ .

scholarly journals The Complete DNA Sequence of the Mitochondrial Genome of a “Living Fossil,” the Coelacanth (Latimeria chalumnae)

Genetics ◽  
1997 ◽  
Vol 146 (3) ◽  
pp. 995-1010 ◽  
Author(s):  
Rafael Zardoya ◽  
Axel Meyer
Keyword(s):  
Mitochondrial Genome ◽  
Tandem Repeats ◽  
Phylogenetic Analyses ◽  
Large Data ◽  
Molecular Data ◽  
Phylogenetic Position ◽  
Data Set ◽  
Living Fossil ◽  
Latimeria Chalumnae ◽  
Relationship Of

The complete nucleotide sequence of the 16,407-bp mitochondrial genome of the coelacanth (Latimeria chalumnae) was determined. The coelacanth mitochondrial genome order is identical to the consensus vertebrate gene order which is also found in all ray-finned fishes, the lungfish, and most tetrapods. Base composition and codon usage also conform to typical vertebrate patterns. The entire mitochondrial genome was PCR-amplified with 24 sets of primers that are expected to amplify homologous regions in other related vertebrate species. Analyses of the control region of the coelacanth mitochondrial genome revealed the existence of four 22-bp tandem repeats close to its 3′ end. The phylogenetic analyses of a large data set combining genes coding for rRNAs, tRNA, and proteins (16,140 characters) confirmed the phylogenetic position of the coelacanth as a lobe-finned fish; it is more closely related to tetrapods than to ray-finned fishes. However, different phylogenetic methods applied to this largest available molecular data set were unable to resolve unambiguously the relationship of the coelacanth to the two other groups of extant lobe-finned fishes, the lungfishes and the tetrapods. Maximum parsimony favored a lungfish/coelacanth or a lungfish/tetrapod sistergroup relationship depending on which transversion:transition weighting is assumed. Neighbor-joining and maximum likelihood supported a lungfish/tetrapod sistergroup relationship.

Sign in / Sign up

Export Citation Format

Share Document