scholarly journals Determinants of Allocative, Cost and Scope Efficiencies: A Comparative Analysis of Banks and Insurance Companies in Pakistan

2019 ◽  
Vol 10 (2) ◽  
pp. 285
Author(s):  
Maha Haroon ◽  
Danish Ahmed Siddiqui

The purpose of this research paper is to empirically investigates determinants of allocative, cost and scope efficiencies as well as impact of financial crisis and stock market performance on efficiencies. Pakistan’s banks and insurance companies’ sector were taken for the purpose of comparative analysis. For this objective both Islamic/takaful and conventional sectors were occupied. Twelve years data (2007-2018) of PSX’s banking and insurance sector was taken. Two stage non-parametric efficiency analysis was done, in the first stage, estimation for efficiency scores we used DEA for both sectors. In second phase, efficiency scores are regressed on the selected determinants by Tobit Regression. For measuring stock market performance CASR is calculated. Inadequate efficiency in insurance sector is evidenced against banking sector. Efficiency of takaful firms as new entrants of the market was not good comparatively to conventional insurance firms. Islamic and conventional banks are operated at almost same efficiency level. Performance of stock market has inverse and both (significant and insignificant) relationship with efficiency, means different events and fundamentals don’t affect the performance of sectors that is why efficiencies are not hit by this way. As well as determinants have different relationship with allocative, cost and scope efficiencies scores.

Author(s):  
Irina Pilvere ◽  
Aija Pilvere-Javorska ◽  
Baiba Rivza

Stock market is alternative place to bank lending for company’s finance and contributor to economic development. Baltic States is market, which traditionally is perceived as one, however it is comprised of 3 separate stock markets. Research aim was to conduct comparative analysis of stock market development performance post-recession in the Baltic States.. In order to perform analysis, number of listed companies, their market capitalization and structure in Baltic States were analyzed and also compared to main economic indicators structure in 2008-2018 6 months. The main research methods are: analysis, synthesis, the logical construction method, the induction and deduction methods, as well as time series analysis. Authors have determined main stock market performance indicators and compared stock market indicators structure with Baltic region’s economic structure. Research results indicates that number of listed companies had increased only in Estonia, also market capitalization there had experienced their value to more than double in analyzed period. In Lithuania number of companies had declined, while market capitalization the growth was slower when compared to in Estonia, while more linear. In turn, stock market capitalization and number of listed companies in Latvia were declining in 2008-2018 6 months. Overall number of listed companies in Baltic States was decreasing, while their market capitalization is increasing, but still is only 60% of value it was in pre-recession year 2007. In Estonia and in Lithuania average listed companies are larger in size, when compared to in Latvia. Size of average listed companies on stock market in Estonia and in Lithuania more than doubled in size, while in Latvia it showed insignificant growth. Stock market indicators’ structure had insignificant deviations from the main economic indicator structure in 2008, while in 6 months 2018 dynamics in Latvia stock market parameters had dropped in the structure among all 3 Baltic States. Overall, in Latvia stock market is lagging behind, when compared to one in Estonia and in Lithuania in analyzed period, thus all 3 Baltic States has had asymmetrical recovery and development speed post-recession.


2018 ◽  
Vol 7 (2) ◽  
pp. 178-193
Author(s):  
Dipasha Sharma

Many studies have been conducted on bank efficiency and bank performance both in developed and developing economies. Although abundant research on the association of emerging dimensions of stock performance with bank efficiency is available for the developed countries, such research in developing economies is limited. In the light of this, a model is constructed with stock market return as the principal variable along with bank efficiency and bank-specific factors and tested for the Indian economy. The model was developed using data envelopment analysis (DEA) for Indian banks. Panel data regression analysis was used to examine the empirical association between efficiency measures and market performance measures. The regression results confirmed the presence of a statistically significant association between operational efficiency and market performance of Indian banks. Operationally efficient banks create more value and returns to their investors and are thus found to be effective.


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