scholarly journals Health Check-up of Commercial Banks in the Framework of CAMEL: A Case Study of Joint Venture Banks in Nepal

2007 ◽  
Vol 2 (1) ◽  
pp. 41-55 ◽  
Author(s):  
Keshar J. Baral
Keyword(s):  
Commercial Banks ◽  
Large Scale ◽  
Joint Venture ◽  
Balance Sheet ◽  
Health Check ◽  
Annual Reports ◽  
Financial Health ◽  
Data Set ◽  
Business Studies

Using the data set published by joint venture banks in their annual reports, and NRB in its supervision annual reports, this paper examines the financial health of joint venture banks in the CAMEL framework. The health check up conducted on the basis of publicly available financial data concludes that the health of joint venture banks is better than that of the other commercial banks. In addition, the perusal of indicators of different components of CAMEL indicates that the financial health of joint venture banks is not so strong to manage the possible large scale shocks to their balance sheet and their health is fair. Journal of Nepalese Business Studies Vol.2(1) 2005 pp.41-55

scholarly journals Financial Health Check-up of Pokhara Royal Co-operative Society Limited in the Framework of PEARLS

2007 ◽  
Vol 3 (1) ◽  
pp. 45-69
Author(s):  
Keshar J. Baral
Keyword(s):  
Financial Data ◽  
Health Check ◽  
Annual Reports ◽  
Second Line ◽  
Financial Health ◽  
Data Set ◽  
Share Capital ◽  
Business Studies ◽  
Cooperative Society ◽  
Institutional Capital

Using the data set disclosed in annual reports and extracted from the ledger of Pokhara Royal Cooperative Society Limited (PRCSL), this paper examines the financial health of PRCSL in the framework of PEARLS. The health check up conducted on the basis of publicly available financial data concludes that PRCSL has not earned enough to pay up the return on member share capital and build up the institutional capital as the second line of defense for saving deposits of member-clients. In addition, the perusal of indicators of different components of PEARLS indicates that the financial health of PRCSL is not so sound.Journal of Nepalese Business Studies 2006/III/1 pp. 45-69

scholarly journals A case study of National Bank of Pakistan: From 2007 to 2016

2018 ◽  
Vol 1 (1) ◽  
pp. 12-14
Author(s):  
Muzayyab Taqdees
Keyword(s):  
Commercial Banks ◽  
Regulatory Authority ◽  
Annual Reports ◽  
Board Size ◽  
Financial Variables ◽  
The Past ◽  
Earnings Per Share ◽  
Leadership Structure ◽  
National Bank

National Bank of Pakistan is one of the largest commercial banks in the country. This case study is a general review of the managerial and financial aspects of the bank. The leadership structure and board size are considered as a variable of management side and pre-tax profit and earnings per share are used as financial variables. Some figures extracted from the annual reports are provided as the evidence of what happened in the respective year. From year 2007 to 2016 leadership structure of national bank of Pakistan change from dual leadership structure to non-dual and again to dual. Also in the past decade the bank hits its financial height in 2016 but it also touches the bottom in 2013. This review concluded that the developing country like Pakistan needs to have a strong judicial and regulatory authority. Also the non-dual leadership structure can be more profitable and board size should be at least average if not large.  

From Entrepreneur to Big Player

2013 ◽  
Vol 4 (2) ◽  
pp. 21-34
Author(s):  
Ruey-Shiang Shaw ◽  
Sheng-Pao Shih ◽  
Ta-Yu Fu ◽  
Chia-Wen Tsai
Keyword(s):  
Business Model ◽  
Large Scale ◽  
Software Industry ◽  
Stable Phase ◽  
Data Set ◽  
Main Research ◽  
Software Products ◽  
Ex Post ◽  
Major Player

The software industry faces drastic changes in technology and business operations. The research structure of this study is based on the business model for software industries proposed by Rajala in 2003. The researcher employed an ex post facto research design to conduct a case study of the Galaxy Software Service Co., a company that is representative of the software industry in Taiwan. The main research goal of this study is to explore how this particular company developed into a large software company in the Taiwanese software sector, which is characterized by a prevalence of small- and medium-sized businesses, over a period of 25 years. This study employs a case study design and relies on in-depth participation and interviews to acquire a complete data set of the company’s internal operations. The evolution of the business model from the company’s inception until the present day has been divided into four phases: the entrepreneur phase, the growth phase, the stable phase, and the innovative breakthrough phase. The company developed into a major player in the software industry for 3 reasons: it has always insisted on a product differentiation strategy based on the sole reliance on software products, it started out as a software products dealer and gradually developed its own research and development capability, and it built a large-scale project management capability and received CMMI certification. These factors make the company stand out from other System Integrated businesses in the Taiwanese software sector offering both hardware and software products.

Exploration of Tourist Activities in Urban Destination Using Venue Check-In Data

2019 ◽  
Vol 44 (3) ◽  
pp. 472-498
Author(s):  
Huy Quan Vu ◽  
Jian Ming Luo ◽  
Gang Li ◽  
Rob Law
Keyword(s):  
Data Collection ◽  
Large Scale ◽  
Traditional Approach ◽  
Urban Tourism ◽  
Data Set ◽  
Tourism Marketing ◽  
Large Scale Data ◽  
New Type ◽  
Scale Data

Understanding the differences and similarities in the activities of tourists from various cultures is important for tourism managers to develop appropriate plans and strategies that could support urban tourism marketing and managements. However, tourism managers still face challenges in obtaining such understanding because the traditional approach of data collection, which relies on survey and questionnaires, is incapable of capturing tourist activities at a large scale. In this article, we present a method for the study of tourist activities based on a new type of data, venue check-ins. The effectiveness of the presented approach is demonstrated through a case study of a major tourism country, France. Analysis based on a large-scale data set from 19 tourism cities in France reveals interesting differences and similarities in the activities of tourists from 14 markets (countries). Valuable insights are provided for various urban tourism applications.

scholarly journals RELATIVE STANDING OF ROE AND ROCE IN EFFECTIVE LIQUIDITY MANAGEMENT: EVIDENCE FROM BANGLADESHI COMMERCIAL BANKS

2021 ◽  
pp. 26-41
Keyword(s):  
Commercial Banks ◽  
Annual Reports ◽  
Data Set ◽  
Liquidity Management ◽  
Significant Negative Effect ◽  
Tier 1 ◽  
Negative Effect ◽  
Liquidity Measures ◽  
Positive Effect ◽  
Relative Standing

This study has been designed for examining the effectiveness of liquidity management through the relative standing of ROE and ROCE of Nationalized Commercial Banks in Bangladesh for the duration of 2008–2018. Six NCBs are selected purposively as sample. The study relies on a balanced panel data set of 66 observations which are gathered from the annual reports of banks and analyzed by random effects regression model. However, the research only examined a few variables. The empirical results reveal that the selected NCBs have been portraying better standing in case of ROE than ROCE in effective liquidity management. The value of R2 of ROE is 75.25%; it signifies that the explanatory measures could clarify 75.25% of the variations in ROE. Among the liquidity measures, Assets/Shareholders Equity has highly significant negative effect; Tier 1 Capital/Risk Weighted Assets has highly significant positive effect; Deposits/Assets have some significant positive and Bank Size in terms of Deposits has some significant negative effect on ROE of the selected NCBs.

scholarly journals RELATIVE STANDING OF ROE AND ROCE IN EFFECTIVE LIQUIDITY MANAGEMENT: EVIDENCE FROM BANGLADESHI COMMERCIAL BANKS

2021 ◽  
pp. 26-41
Keyword(s):  
Commercial Banks ◽  
Annual Reports ◽  
Data Set ◽  
Liquidity Management ◽  
Significant Negative Effect ◽  
Tier 1 ◽  
Negative Effect ◽  
Liquidity Measures ◽  
Positive Effect ◽  
Relative Standing

This study has been designed for examining the effectiveness of liquidity management through the relative standing of ROE and ROCE of Nationalized Commercial Banks in Bangladesh for the duration of 2008–2018. Six NCBs are selected purposively as sample. The study relies on a balanced panel data set of 66 observations which are gathered from the annual reports of banks and analyzed by random effects regression model. However, the research only examined a few variables. The empirical results reveal that the selected NCBs have been portraying better standing in case of ROE than ROCE in effective liquidity management. The value of R2 of ROE is 75.25%; it signifies that the explanatory measures could clarify 75.25% of the variations in ROE. Among the liquidity measures, Assets/Shareholders Equity has highly significant negative effect; Tier 1 Capital/Risk Weighted Assets has highly significant positive effect; Deposits/Assets have some significant positive and Bank Size in terms of Deposits has some significant negative effect on ROE of the selected NCBs.

scholarly journals The Determinants of Bank Profitability Empirical Evidence from Vietnamese Commercial Banks in The Periods Of 2013 To 2018

2020 ◽  
Vol 15 ◽  
pp. 176-184
Author(s):  
Dan Ngoc Minh Nguyen ◽  
Anh Vu
Keyword(s):  
Commercial Banks ◽  
Quantitative Methods ◽  
Stock Exchange ◽  
Balance Sheet ◽  
Secondary Data ◽  
Analysis Data ◽  
Financial Statement ◽  
Annual Reports ◽  
Panel Model ◽  
Data Tables

This research concentrates on the determinants of the profitability of the Vietnamese Commercial Banks. Both internal and external variables regarding the profitability of commercial bank sector will be focused in the analysis. Data over the period of 2013 to 2018 for 29 Vietnamese Commercial Banks[i] is obtained from via Stock Exchange or media. Fixed effect panel model are used to analyze the determinants of the profitability. By using this, we ensure for the effectiveness of the test result in terms of hypothesis along with size in order to get consistent results. The research is based on the scientific approach of quantitative methods to solve the problems posed, practical and effective service for the completion of the research purpose. The secondary data collected from the worldbank.org, vietdata.vn and annual reports (financial statement, balance sheet, etc.) of Vietnamese commercial banks in the 2013-2018 period to create asymmetric data tables will be processed on STATA software.

A statistical methodology for deriving reservoir properties from seismic data

Geophysics ◽  
1995 ◽  
Vol 60 (5) ◽  
pp. 1437-1450 ◽  
Author(s):  
Frédérique Fournier ◽  
Jean‐François Derain
Keyword(s):  
Seismic Data ◽  
Large Scale ◽  
Seismic Attributes ◽  
Seismic Facies ◽  
Reservoir Properties ◽  
Data Set ◽  
Analysis Technique ◽  
Seismic Facies Analysis ◽  
Statistical Relationships

The use of seismic data to better constrain the reservoir model between wells has become an important goal for seismic interpretation. We propose a methodology for deriving soft geologic information from seismic data and discuss its application through a case study in offshore Congo. The methodology combines seismic facies analysis and statistical calibration techniques applied to seismic attributes characterizing the traces at the reservoir level. We built statistical relationships between seismic attributes and reservoir properties from a calibration population consisting of wells and their adjacent traces. The correlation studies are based on the canonical correlation analysis technique, while the statistical model comes from a multivariate regression between the canonical seismic variables and the reservoir properties, whenever they are predictable. In the case study, we predicted estimates and associated uncertainties on the lithofacies thicknesses cumulated over the reservoir interval from the seismic information. We carried out a seismic facies identification and compared the geological prediction results in the cases of a calibration on the whole data set and a calibration done independently on the traces (and wells) related to each seismic facies. The later approach produces a significant improvement in the geological estimation from the seismic information, mainly because the large scale geological variations (and associated seismic ones) over the field can be accounted for.

scholarly journals An Empirical Analysis of Financially Distressed Italian Companies

2016 ◽  
Vol 9 (10) ◽  
pp. 75
Author(s):  
Luca Sensini
Keyword(s):  
Financial Distress ◽  
Default Risk ◽  
Research Question ◽  
Balance Sheet ◽  
Annual Reports ◽  
Data Set ◽  
Industrial Firms ◽  
Main Research ◽  
Financial Indices ◽  
Selection Of

<p>This paper investigates the performance of forecasting models for default risk referring to the annual balance sheet information of Italian firms. One of the main issues in bankruptcy predictions is related to the selection of the best set of indicators. Therefore, our main research question concerns the identification of the determinants of corporate financial distress, comparing the performance of innovative selection techniques. Furthermore, several aspects related to the default risk analysis have been considered, namely the nature of the numerical information and the sample design. The proposed models take in consideration the above-mentioned issues and the empirical results, elaborated on a data set of financial indices expressly derived from annual reports of the industrial firms. These reports provide evidence in favor of our proposal over the traditional ones.</p>

scholarly journals Tourist Activity Analysis by Leveraging Mobile Social Media Data

2017 ◽  
Vol 57 (7) ◽  
pp. 883-898 ◽  
Author(s):  
Huy Quan Vu ◽  
Gang Li ◽  
Rob Law ◽  
Yanchun Zhang
Keyword(s):  
Social Media ◽  
Large Scale ◽  
Contextual Information ◽  
Online Social Network ◽  
Data Set ◽  
Travel Diary ◽  
Manual Recording ◽  
Rich Information ◽  
Media Data

Approaches to traditional travel diary construction rely on tourist participation and manual recording; hence, they are not only time-consuming but also limited in the scale and the number of samples. Online social network platforms have been used as alternative data sources for capturing the movements and travel patterns of tourists at a large scale. However, they fail to provide detailed contextual information on tourist activities for further analysis. In this paper, we present a new approach to travel diary construction based on the venue check-in data available in mobile social media with rich information on locations, time, and activities. Our case study focuses on the inbound tourism in Hong Kong using a data set composed of 17,355 check-ins generated by 600 tourists. We demonstrate how the proposed travel diary can provide useful practical implications for applications in location management, transportation management, impact management, and tourist experience promotion among others.

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