Performance of Odisha State Co-operative Bank: An ARDL Approach

2020 ◽  
pp. 097674792094176
Author(s):  
Ranjan Kumar Nayak

This article tries to analyse the financial performance of Odisha State Co-operative Bank (OSCB) for the period of 1949–1950 to 2014–2015. The methodology employed for the empirical analysis on this study involves autoregressive distributed lag (ARDL), augmented Dickey–Fuller (ADF) test and Phillips–Perron (PP). Statistical significant of the coefficient of the lagged error-correction term shows about 44 per cent correction in short-run dynamics to the long-run equilibrium. Using the ARDL approach, the study finds that owned fund, borrowing, advance and working capital, share capital and reserve are statistically significant in the short run; and deposits, share capital and reserve are statistically significant in the long run. The empirical results suggest that deposits and advances impact the profits of OSCB positively while cost of management, capital and reserves lead to lower profits. Hence, the study proposes the OSCB to follow a proactive management of capital with higher deposit generation and larger advances strategy to become a strong bank and grow steadily.

The main objective of the study is to empirically examine how economic growth is impacted upon through financial inclusion. Economic growth per capital income is the study’s explained variables while, rural deposits, private sector deposits, rural loans, private loans, and number of banks branches are proxies for the explanatory variable. Secondary data was sourced from the Central Bank of Nigeria statistical bulletin and World Bank financial indicator and span thirty-five years (1982 to 2017). From the augmented dickey fuller (ADF) test results, autoregressive distributed lag (ARDL) regression was adopted. Findings shows that individually, rural deposits, and number of banks branches are significant in the short-run while, only the former is significant in the long-run. However, jointly, and from the Wald test result, a no significant relationship is established between the variables in the long-run. The study thus recommends a nurturing approach from primary to tertiary level of financial inclusion.


2019 ◽  
Vol 2 (1) ◽  
pp. 15
Author(s):  
Ahmadi Murjani

 Poverty alleviation has become a vigorous program in the world in recent decades. In line with the efforts applied by the government in various countries to reduce poverty, some evaluations have been practised. The impacts of macroeconomic variables such as inflation, unemployment, and economic growth have been commonly employed to be assessed for their impact on the poverty. Previous studies in Indonesia yielded mix results regarding the impact of such macroeconomic variables on the poverty. Different methods and time reference issue were the suspected causes. This paper aims to overcome such problem by utilising the Autoregressive Distributed Lag (ARDL) equipped with the latest time of observations. This paper finds in the long-run, inflation, unemployment, and economic growth significantly influence the poverty. In the short-run, only inflation and economic growth are noted affecting poverty significantly. 


Author(s):  
Sami Chaabouni ◽  
Chokri Abednnadher

This article examines the determinants of health expenditures in Tunisia during the period 1961-2008, using the Autoregressive Distributed Lag (ARDL) approach by Pesaran et al. (2001). The results of the bounds test show that there is a stable long-run relationship between per capita health expenditure, GDP, population ageing, medical density and environmental quality. In fact, on the one hand there are the short-run and long-run results which reveal that health care is a necessity, not a luxury good. On the other hand, results of the causality test show that there is a bidirectional causal flow from health expenditures to income, both in the short and in the long run.


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Olayinka Olufisayo Akinlo ◽  
John Ayobamibo Olayiwola

AbstractThis paper examines the long run and short run link between dividend payout policy and corporate performance of quoted companies in Nigeria over the period 2001–2018. The study employs data of 80 listed companies collected from the audited financial statements of the companies and the publication of Central Bank of Nigeria. Using Pooled Mean Group-Autoregressive Distributed Lag approach, the result shows that dividend policy negatively and statistically influence performance in the short run, while in the long run the effect is positive and significant.


2019 ◽  
Vol 5 (1) ◽  
pp. 18
Author(s):  
Rafaela Maiara Caetano ◽  
Cleomar Gomes Da Silva

<p>The aim of this article is to investigate the determinants of consumer confidence in Brazil and possible impacts on monetary policy actions. The econometric methodology applied is based on Autoregressive Distributed Lag (ARDL) Models, particularly the Bounds Testing (ARDL) Approach to Cointegration. For monthly data between January 2003 and December 2016, the empirical results suggest that there is a long run relationship between consumer confidence and the other variables analyzed. As for short-run dynamics, the error correction mechanism varies between 1.9% and 8.7%, depending on the estimated model. This suggests that economic variables influence consumer confidence, and when there is a break in confidence, its recovery is very slow.</p>


2019 ◽  
Vol 30 (4) ◽  
pp. 434-441 ◽  
Author(s):  
Muhammad Kamran Khan ◽  
Jian-Zhou Teng ◽  
Muhammad Imran Khan

Worker remittances are the main source of financial flow to any economy.  This study intended to scrutinize the effect of remittance inflow on Pakistan’s economy over the period 1976- 2016 by employing autoregressive distributed lag (ARDL) technique; because this method has been recently developed and has different advantages as compared to time series methods. ARDL method was applied to scrutinize the long run and the short run effect of worker remittances on Pakistan’s economy. This study concluded that Pakistan’s economy is positively affected by remittance inflow, foreign direct investment and the gross domestic saving in the long run, while Pakistan’s economy negatively affected by inflation and consumption in the long run. Remittances received from immigrant support economic growth in Pakistan because remittances inflow is mostly utilized for investment purpose. To further improve the economic development of Pakistan’s economy, it is suggested that policy maker in Pakistan encourage and motivate migrants to send remittances through proper channels to Pakistan, so that these inflows of remittances be used in such profitable investments that help to improve economic growth.


2018 ◽  
Vol 66 (3-4) ◽  
pp. 365-374
Author(s):  
Aynalem Shita ◽  
Nand Kumar ◽  
Seema Singh

This study analyses factors affecting agricultural productivity in Ethiopia for the period of 1990–2016 by using autoregressive distributed lag (ARDL) model. Both the bounds test and the error correction model confirmed the existence of co-integration (long-run relationship) between the variables included in the model. The results revealed that cereal productivity is positively influenced by use of fertiliser and real gross domestic product (GDP) both in the long run and in the short run. While size of arable land influences productivity positively in the long run, its short-run effect was found to be negative. Hence, the government and other concerned authorities should work to enhance farmers’ use of improved technologies, such as fertiliser, by ensuring its timely availability at an affordable price, encouraging farmers to participate on alternative sources of income such as off-farm activities and bringing additional area under cereal production to improve agricultural productivity.


Author(s):  
Sami Chaabouni ◽  
Chokri Abednnadher

This article examines the determinants of health expenditures in Tunisia during the period 1961-2008, using the Autoregressive Distributed Lag (ARDL) approach by Pesaran et al. (2001). The results of the bounds test show that there is a stable long-run relationship between per capita health expenditure, GDP, population ageing, medical density and environmental quality. In fact, on the one hand there are the short-run and long-run results which reveal that health care is a necessity, not a luxury good. On the other hand, results of the causality test show that there is a bidirectional causal flow from health expenditures to income, both in the short and in the long run.


2020 ◽  
Vol 23 (2) ◽  
pp. 97-108
Author(s):  
Jhabindra Pokharel

This paper analyzed the effect of loan growth in three performance aspects, profitability, stock return and credit risk of Nepalese commercial banks applying the panel autoregressive distributed lag (ARDL) approach. To avoid the effect of the merger on loan growth 8 banks which have not merged with or acquired other institutions are taken as sample and 8-year data from each sample bank from 2012- 2019 has been sued in the study. The result showed that none of the three performance indicators is affected by the loan growth in the long-run. It is also found that the credit risk of banks does not change with the change in loan growth in the short-run as well. This indicates that banks are not aggressive in their lending. However, profitability and stock return are affected positively by the loan growth in the short-run. The findings from this study suggest to the investors in the stock market to choose the stock of bank with higher loan growth.


2012 ◽  
Vol 02 (08) ◽  
pp. 56-62
Author(s):  
Olanrewaju I. Shittu ◽  
Raphael A. Yemitan ◽  
OlaOluwa S. Yaya

This paper reviews the use of the traditional ARDL and the ARDL approach to cointegration for the analysis of short-run dynamic and long run relationship when series are difference stationary (series can be integrated of different orders). The two models were used to estimate the short-run dynamics and the long run relationships between selected Nigeria’s macroeconomic series. The results compares favorably with the theory that the ARDL is equivalent to the short-run dynamics of the error correction model (the resultant model from the ARDL approach to cointegration).


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