scholarly journals Contribution of Co-Skewness and Co-Kurtosis of the Higher Moment CAPM for Finding the Technical Efficiency

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Md. Zobaer Hasan ◽  
Anton Abdulbasah Kamil
Keyword(s):  
Risk Factors ◽  
Stock Market ◽  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stock Exchange ◽  
Stochastic Frontier ◽  
Frontier Analysis ◽  
Two Factors ◽  
Input Variables ◽  
The Individual

The objective of this paper is to present the technical efficiency of individual companies and their respective groups of Bangladesh stock market (i.e., Dhaka Stock Exchange, DSE) by using two risk factors (co-skewness and co-kurtosis) as the additional input variables in the Stochastic Frontier Analysis (SFA). The co-skewness and co-kurtosis are derived from the Higher Moment Capital Asset Pricing Model (H-CAPM). To investigate the contribution of these two factors, two types of technical efficiency are derived: (1) technical efficiency with considering co-skewness and co-kurtosis (WSK) and (2) technical efficiency without considering co-skewness and co-kurtosis (WOSK). By comparing these two types of technical efficiency, it is noticed that the technical efficiency of WSK is higher than the technical efficiency of WOSK for the individual companies and their respective groups. As per available literature in the context Bangladesh stock market, no study has been conducted thus far to measure technical efficiency of companies and their respective groups by using the risk factors which are derived from the H-CAPM. In this research, the link between H-CAPM and SFA is established for measuring technical efficiency and it is believed that the findings of this study may be applied to other emerging stock markets.

scholarly journals Market Structure Conduct Performance Hypothesis Revisited Using Stochastic Frontier Efficiency Analysis

2012 ◽  
Vol 48 (3) ◽  
Author(s):  
Saleem Shaik ◽  
Albert J. Allen ◽  
Seanicaa Edwards ◽  
James Harris
Keyword(s):  
Market Structure ◽  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Efficiency Measure ◽  
Frontier Analysis ◽  
Input Variables ◽  
And Performance ◽  
Frontier Efficiency ◽  
The Relationship

Stochastic frontier analysis, which is used to estimate technical efficiency, is extended to examine the market structure, conduct and performance hypothesis for the U.S. trucking industry. The technical efficiency measure takes into account not only the relationship between inputs used in the production of output, but it also examines the importance of market structure conduct factors to the performance of the firm. An empirical application to U.S. trucking carriers over the period 1994-2003 is examined. Results reveal that average haul, average load, debt-to-equity and market concentration significantly affected technical efficiency. Capital, fixed and variable input variables were significant in the production function equation.

scholarly journals Analysis of the efficiency performance of Sharia and conventional banks using stochastic frontier analysis

2018 ◽  
Vol 13 (2) ◽  
pp. 27-38 ◽  
Author(s):  
Isfenti Sadalia ◽  
Muhammad Haikal Kautsar ◽  
Nisrul Irawati ◽  
Iskandar Muda
Keyword(s):  
Technical Efficiency ◽  
Commercial Banks ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Average Score ◽  
Public Confidence ◽  
Frontier Analysis ◽  
Operational Costs ◽  
Input Variables ◽  
Conventional Banks

There are two sectors of banks operating in Indonesia, namely Sharia banks and conventional banks. Improving performance is important in maintaining public confidence in the bank. Efficiency is one of the parameters to measure the performance of Sharia banks. This study measures the comparative level of technical efficiency of Sharia commercial banks and conventional banks by Stochastic Frontier Analysis method during 2011–2015 period by using 10 samples of Sharia commercial banks and conventional banks. Input variables in this study are total deposits, operational costs, and other operational costs. Total financing is an output variable. The results of this study show that total deposits and operational costs have a positive and significant impact on total financing in Sharia and conventional banks. The average score of the technical efficiency of Sharia commercial banks during the period observed is 0.84 and conventional banks is 0.85.

Does household engagement in concurrent business affect the farm size-technical efficiency relationship in grain production?

2019 ◽  
Vol 11 (1) ◽  
pp. 125-142 ◽  
Author(s):  
Min Zhong ◽  
Yuchun Zhu ◽  
Qihui Chen ◽  
Tianjun Liu ◽  
Qihua Cai
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Negative Relationship ◽  
Northern China ◽  
Farm Size ◽  
Farm Income ◽  
Content Type ◽  
Frontier Analysis ◽  
Two Factors

Purpose The purpose of this paper is to examine how households’ engagement in concurrent business (CB), which is measured by the contribution of off-farm income to household income, affects the farm size–technical efficiency (TE) relationship in Northern China. Design/methodology/approach This paper applies a stochastic frontier analysis method to analyze data on 1,006 rural households collected from four major wheat-producing provinces in Northern China, adopting a translog specification for the underlying production function. Findings The analysis yields three findings. First, the farm size–TE relationship is inverted U-shaped for all CB engagement levels higher than 5 percent, and the most technically efficient farm size increases with the level of household CB engagement. Second, how TE varies with the level of CB engagement depends on farm size: an inverted-U relationship for relatively small farms (<10μ), a positive relationship for middle-size farms (10–20μ), and a negative relationship for large farms (>20μ). Finally, the overall TE score, 0.88, suggests that wheat output can be increased by 12 percent in Northern China if technical inefficiency were eliminated. Originality/value Unlike most previous studies that examine the impacts of farm size and households’ off-farm business involvement separately, this paper examines how these two factors interact with each other.

scholarly journals Measuring the Efficiency of BAZNAS in Managing Zakat Funds with Stochastic Frontier Approach Analysis, 2002–2016

2018 ◽  
Vol 3 (1) ◽  
pp. 89-107
Author(s):  
Risanda A. ◽  
Faishol Luthfi ◽  
Sri Herianingrum
Keyword(s):  
Time Series ◽  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Time Series Data ◽  
Stochastic Frontier ◽  
Series Data ◽  
Stochastic Frontier Approach ◽  
Frontier Analysis ◽  
Operational Costs ◽  
Input Variables

This study aims to measure the technical efficiency and identify factors that cause technical inefficiency of Badan Amil Zakat Nasional (BAZNAS) in managing zakat funds on receipt and the distribution of zakat funds. The data used were time series data from 2002 to2016. The input variables used were total assets and operational costs, while the output variables were the receipt of zakat funds and the distribution of zakat funds. Using stochastic frontier analysis, this study has successfully identified that total assets and operational costs had a positive and significant effect on the receipt of zakat funds. The same results also demonstrated that the operational costs for the distribution of zakat funds had a positive and significant effect. The results for total assets on distribution of zakat funds were positive but not significant. Overall, the technical efficiency regarding the receipt of BAZNAS zakat funds was found to be 94.98 percent, which means that there is 5.02 percent remaining that could still be optimized, while technical efficiency regarding the distribution of BAZNAS zakat funds was found to be 70.99 percent, leaving 29.01 percent that could still be optimized. Keywords: Badan Amil Zakat Nasional (BAZNAS), Stochastic Frontier Analysis, Technical Efficiency

scholarly journals Slovak agricultural farms in different regions – comparison of efficiency

2008 ◽  
Vol 54 (No. 4) ◽  
pp. 158-165 ◽  
Author(s):  
Z. Sojková ◽  
Z. Kropková ◽  
V. Benda
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Agricultural Land ◽  
Stochastic Frontier ◽  
Total Output ◽  
Data Set ◽  
Frontier Analysis ◽  
Dummy Variable ◽  
Input Variables ◽  
Production Conditions

This paper presents the results of stochastic parametric approach used in estimation of production frontier. The estimation of output oriented technical efficiency was based on the Stochastic Frontier analysis with Cobb-Douglas production function. The model also included a dummy variable which expressed production conditions in which Slovak farms are operating. We divided farms into two groups regarding production conditions: productive regions (PR) and less favorable area (LFA) regions. The data set included 79 Slovak farms operating in different regions in the 2003–2005 time periods. The following input variables are included in the model: capital, material, labour and agricultural land according to the LPIS system. Total output was used as the output variable. From the achieved results, we can conclude that the significant statistical differences in average technical efficiency were detected only in year 2005 between the farms of the mentioned production conditions. A higher level of variability in technical efficiency was detected in farms operating in productive regions compared to technical efficiency of farms in the LFA regions.

scholarly journals Technical Efficiency of Smallholder Tomato Production in Semi-Urban Farms in Cameroon: A Stochastic Frontier Production Approach

2017 ◽  
Vol 7 (4) ◽  
pp. 27 ◽  
Author(s):  
Martin Paul Jr. Tabe-Ojong ◽  
Ernest L. Molua
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Smallholder Farmers ◽  
Research Question ◽  
Stochastic Frontier ◽  
Negative Influence ◽  
Farm Size ◽  
Primary Data ◽  
Tomato Production ◽  
Frontier Analysis

Agriculture is the mainstay of Cameroon’s economy as it serves the purposes of food, livelihood and employment. Nevertheless, the country’s agriculture is plagued by low productivity and inefficiency in production. One of the main reasons for low productivity is the inability of farmers to fully exploit available technologies and production techniques. An important research question that comes to mind is, what are the major factors that hinder the technical efficiency of smallholder farmers? This study thus aimed to determine the level of technical efficiency in the production of tomato in smallholder farms, relying on primary data collected using a structured survey instrument administered to 80 tomato farmers in the Buea municipality of Cameroon. Data was analyzed using descriptive statistics and a stochastic frontier analysis method in the Cobb-Douglas production function. The STATA.14 software was used to obtain both stochastic frontier estimates and the determinants of technical efficiency. The results indicate that farmers are not fully technically efficient with a mean technical efficiency score of 0.68 with one farmer operating on the frontier. The study also revealed that most of the farmers irrespective of the size of the holdings have shown technical inefficiency problems. The older farmers were observed with the best measures of technical efficiency. Education, age and the adoption and practice of agronomic techniques had a positive and significant influence on technical efficiency while the nearest distance to the extension agent had a rather negative influence on technical efficiency. The input-output relationship showed that the area of tomato cultivation and the quantity of improved seed used were positive and significantly related to output at the 5% level of probability. As a result, it is recommended that farmers should increase their farm size, use of improved seeds and the adoption and practice of novel techniques in production. More emphasis should be placed on extension agents as they have a significant role to play in terms of improving and augmenting farmers’ education and information base through on farm demonstrations and result oriented workshops as all this will ensure increased production and productivity thereby increasing technical efficiency and achieving food self-sufficiency.

Intellectual capital: a determinant of firms' operational efficiency

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kanishka Gupta ◽  
T.V. Raman
Keyword(s):  
Intellectual Capital ◽  
Stochastic Frontier Analysis ◽  
Stock Exchange ◽  
Stochastic Frontier ◽  
Value Added ◽  
Financial Sector ◽  
Operational Efficiency ◽  
Content Type ◽  
Frontier Analysis ◽  
The Impact

PurposeIntellectual capital (IC) has been recognized in improving the efficiency of businesses and gaining competitive edge in the developed world. The present study offers perspectives into the effect of IC on the efficiency of the Indian financial sector companies.Design/methodology/approachFor the purpose of evaluating efficiency, the research has used stochastic frontier analysis (SFA). All Indian financial sector companies listed in National Stock Exchange (NSE-500) for the timeframe of ten years (2008–2018) have been considered. The paper has employed modified Pulic's Value Added Intellectual Coefficient (VAICTM) as a proxy to measure IC. Correlation and panel data regression have been used in order to examine the relationship.FindingsThe results of the study indicate positive and significant relationship between IC and efficiency of the firm. The results also show that all the components of IC, that is, human capital, relational capital, process capital and capital employed have a significant impact on firms' efficiency. Additionally, it has been seen that sample companies do not invest in research and development leading to no innovation capital.Practical implicationsThe research will assist managers in managing and controlling the IC, investors in matters related to investment and financial experts in improving the company's IC and value creation.Originality/valueThe current research is one of the pioneering studies in the context of Indian financial sector that examines the impact of modified VAIC on operational efficiency calculated using SFA.

Sign in / Sign up

Export Citation Format

Share Document