Stage-I Shariah compliant Macaulay’s duration model testing

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Syed Alamdar Ali Shah ◽  
Raditya Sukmana ◽  
Bayu Arie Fianto

Purpose The purpose of this study is to develop, test and examine econometric methodology for Sharīʿah-compliant duration models of Islamic banks. Design/methodology/approach The research evaluates all existing duration models from Sharīʿah’s perspective and develops a four-stage framework for testing Sharīʿah-compliant duration models. The econometric methodology consists of multiple regression, Johansen co-integration, error correction model, vector error correction model (VECM) and threshold vector error models (TVECM). Findings Regressions analysis suggests that returns on earning assets and interbank offered rates are significant factors for calculating the duration of earning assets, whereas returns paid on return bearing liabilities and average interbank rates of deposits are significant factors for duration of return bearing liabilities. VECM suggests that short run duration converges into long run duration and TVECM suggests that management of assets and liabilities also plays a significant role that can bring about a change of about 15% in respective durations. Practical implications Sharīʿah-compliant duration models will improve risk and Sharīʿah efficiency, which will ultimately improve market capitalization and returns stability of Islamic banks in the long run. Originality/value Sharīʿah-compliant duration models testing provides insight into how various factors, namely, rates of return, benchmark rates and managerial skills of Islamic bank risk managers impact durations of assets and liabilities. It also explains the future course of action for Sharīʿah-compliant duration model testing.

Author(s):  
Parul Singh ◽  
Areej Aftab Siddiqui

Purpose The development in information communication and technology (ICT) has led to many changes such as reorganization of economics, globalization and trade. With more innovation processes being organized and adopted across technologies, trade, etc., these are getting more closely related and needs fresh research perspective. This study aims to empirically investigate the interrelationship between ICT penetration, innovation, trade and economic growth in 20 developed and developing nations from 1995 to 2018. Design/methodology/approach The present paper examines both long-run and short-run relationships between the four variables, namely, innovation, ICT penetration, trade and economic growth, by applying panel estimation techniques of regression and vector error correction model. ICT penetration and innovation indices are constructed using principle component analysis technique. Findings The findings of the study highlight that for developed nations, growth, trade and innovation are significantly interlinked with no significant role of ICT penetration While for developing nations, significant relationship is present between growth and trade, ICT penetration and innovation. With respect to trade, in case of developed nations, significant relationship is present with ICT penetration. While for developing nations there is no significant result for trade promotion. On further employing the vector error correction model, the presence of short run causality between growth, trade and innovation in case of developed nations is established but no such causality between variables for developing nations is seen. Originality/value The present paper adds to the existing strand of literature examining interlinkage between innovation and growth by introducing new variables of ICT penetration and innovation.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Victor Owusu-Nantwi ◽  
Gloria Owusu-Nantwi

PurposeThe purpose of this paper is to examine the effect of corruption and shadow economy on public debt in 51 African countries. In addition, the study explores the causal linkage between corruption, shadow economy and public debt.Design/methodology/approachThe study employs vector error correction model and Kao cointegration test to examine the long-run relationship between corruption, shadow economy and public debt in Africa.FindingsThe study finds a positive and statistically significant relationship between corruption and public debt. Further, the study reports a positive and statistically significant effect of shadow economy on public debt. In the short run, the study finds a unidirectional causal relationship between corruption, shadow economy and public debt with the direction of causality running from corruption and shadow economy to public debt, respectively.Practical implicationsThis study recommends that countries should pursue policies and programs that would provide resources to agencies tasked with the responsibility of fighting corruption. This would ensure that countries have effective institutions that curb vulnerabilities to corruption and reduce the size of the shadow economy and public debt.Originality/valueThis study contributes to the literature by showing how corruption and shadow economy affects public debts of African countries. To the best of the author's knowledge, this is the first attempt to examine this relationship in the context of Africa.


2014 ◽  
Vol 13 (2) ◽  
pp. 155-170 ◽  
Author(s):  
Muhammad Shahbaz ◽  
Mohammad Mafizur Rahman

Purpose – This paper aims to explore the relationship between exports, financial development and economic growth in case of Pakistan. Design/methodology/approach – The autoregressive distributed lag bounds testing approach to cointegration and error correction model are applied to test the long-run and short-run relationships, respectively. The direction of causality between the variables is investigated by the vector error correction model Granger causality test and robustness of causality analysis is tested by applying innovative accounting approach. Findings – The analysis confirms cointegration for the long-run relation between exports, economic growth and financial development in case of Pakistan. The results indicate that economic growth and financial development spur exports growth in Pakistan. The causality analysis reveals feedback hypothesis that exists between financial development and economic growth, financial development and exports, and, exports and economic growth. Originality/value – This study provides new insights for policy makers to sustain exports growth by stimulating economic growth and developing financial sector in Pakistan.


2015 ◽  
Vol 8 (2) ◽  
pp. 152-168 ◽  
Author(s):  
Svein Olav Krakstad ◽  
Are Oust

Purpose – This paper aims to investigate whether the homes in the Norwegian capital, Oslo, are overpriced. While house prices in many countries dropped after the financial crisis, those in Norway have continued to increase. Over the past 20 years, real house prices in Oslo have increased by around 7 per cent yearly. Design/methodology/approach – The authors use a vector error correction model to estimate the equilibrium between house prices, rents, construction costs and wages to examine whether house prices in Oslo are overpriced. Findings – Long-term relationships between house prices, rents, construction costs and wages are found and used to estimate equilibrium house prices in Oslo. The overpricing in Oslo compared to estimated equilibrium prices is around 35 per cent. Practical implications – Price–rent, price–construction cost and price–income ratios are often used, by practitioners to say something about over- or underpricing in the housing market. We test and find that house prices, rents and construction costs move toward constant ratios in the long run, while wages are found to be weakly exogenous in the system. Originality/value – Our estimate of overpricing gives households, investors and policy-makers a better understanding of the risk associated with owning dwellings.


Author(s):  
R. Sangeetha ◽  
K. R. Ashok ◽  
P. Asha Priyanka

The study has observed an increasing trend in pulses production, driven mainly by yield improvements. The contributions of area expansion and prices to black gram growth have been erratic, suggesting that these cannot be the sustainable sources of black gram growth. Further, farmers’ area allocation decisions to pulses are not price-dependent, but depend on non price factors, mainly rainfall. However, the growth in pulses production in the long-run must come from technological changes. Numerous past studies on black gram cultivation in Tamil Nadu is criticized for using the weaker Nerlovian Partial Adjustment models and for analytical interpretation through Ordinary Least Square (OLS) creating spurious results for time series data. This problem can be avoided if Econometric technique of co-integration is used. It is for the present paper measuring the dis-Equilibrium in acreage response of black gram by using a vector error correction model. Our unit root analysis indicates that underlying data series were not stationary and are all integrated of order one, that is I(1). The Johansen co-integration approach indicates the presence of a co-integrating relationship in the acreage response model. Black gram acreage is significantly influenced by relative price of black gram, and other competing crops such as groundnut whenever resourceallocation is concerned famers preferred to allocate irrigated land to other competing crops which are more remunerative and high yielding than black gram crop. The black gram supply elasticity’s are found to be inelastic both in the short-and long-run. The long-run and short run price elasticity’s were 0.41 and 0.28, respectively.


2017 ◽  
Vol 8 (2) ◽  
pp. 175
Author(s):  
Heri Sudarsono

<p>This study aimed to analyze the factors affecting the amount of profitability (ROA) provided by Islamic banking in Indonesia. The data which is used is taken from the financial report of the Shari’a Bank during the 2011-2016 periods by using montly financial statement This study uses a Vector Error Correction Model (VECM) to see the long-term effect and response to shock that occur in the studied variables. The result shows that in the long run, the percentage Financing (FIN) and BOPO give a positive siqnifikant effect on the ROA, while third party funds (DPK), percentage profit and loss sharing (TBH), financial to deposit ratio (FDR) has negative and siqnificant effect on the ROA. Sertifikat Bank Indonesia Syariah (SBIS) and non performing finance (NPF) have no significant effect on the ROA. In short run, ROA give a negatif and siqnificant effect on the ROA and FDR give a positif and siqnificant effect, while DPK, FIN, SBIS, TBH, NPF and BOPO have no sinificant effect on the ROA. Therfore, shocks that occur in the ROA, FIN, FDR , NPF dan BOPO positively responded by ROA and will be stable in the long term. While the shocks that occur in the percentage of FDR, SBIS and TBH responded negatively by financing and will be stable in the long term.</p><p>Penelitian ini bertujuan untuk menganalisis faktor-faktor yang memengaruhi profitabilitas (ROA) perbankan syariah di Indonesia. Data yang digunakan data bulanan dari laporan keuangan bank syariah periode 2010-2015. Penelitian ini mengunakan Vector Error Correction Model (VECM) untuk melihat dampak jangka panjang dan respon terhadap dampak shock pada setiap variabel terhadap pembiayaan. Hasil olah data menunjukkan bahwa FIN dan BOPO berhubungan positif terhadap ROA, sedangkan DPK, TBH, FDR berhubungan negatif terhadap dan ROA SBIS dan NPF tidak berpengaruh terhadap tingkat ROA. Dalam jangka pendek, ROA berhubungan negatif, tetapi FDR terhadap ROA berhubungan positif. Sedangkan DPK, FIN, SBIS, TBH, NPF and BOPO tidak berhubungan dengan pembiayaan. Di lain pihak, respon pembiayan terhadap goncangan yang terjadi terjadi pada ROA, FIN, FDR, NPF dan BOPO direspon positif oleh ROA. Sedangkan respon ROA terhadap goncangan yang terjadi pada FDR, SBIS dan TBH adalah negatif.</p>


2010 ◽  
Vol 15 (2) ◽  
pp. 35-50 ◽  
Author(s):  
Tahir MukhtarF

One of the more celebrated propositions found in international trade is the case that trade liberalization is associated with declining prices, so that protectionism is inflationary. In line with this view, Romer (1993) postulates the hypothesis that inflation is lower in small and open economies. The objective of this study is to examine Romer’s hypothesis in Pakistan. For this purpose, we have used multivariate cointegration and a vector error correction model. The study covers the period from 1960 to 2007. The empirical findings under the cointegration test show that there is a significant negative long-run relationship between inflation and trade openness, which confirms the existence of Romer’s hypothesis in Pakistan.


2014 ◽  
Vol 8 (1) ◽  
pp. 51-72
Author(s):  
Ari Mulianta Ginting

Penelitian ini menganalisis perkembangan neraca perdagangan Indonesia dan faktor yang mempengaruhinya selama periode Kuartal I tahun 2006 sampai dengan Kuartal II tahun 2013 menggunakan Vector Error Correction Model (VECM). Neraca perdagangan Indonesia menunjukkan perkembangan yang positif dalam kurun waktu 2006-2011, dan pertumbuhan negatif selama periode 2012-2013. Penelitian ini juga menemukan bahwa baik dalam jangka panjang maupun jangka pendek, konsumsi domestik dan nilai tukar riil berpengaruh negatif dan signifikan terhadap neraca perdagangan Indonesia, sedangkan variabel Investasi Asing Langsung dan PDB Negara lain berpengaruh positif. Nilai error correction model yang negatif dan signifikan menunjukkan adanya koreksi dari pergerakan variabel pada keseimbangan jangka panjang. Hal ini mengindikasikan pentingnya pemerintah untuk mengeluarkan kebijakan yang tepat untuk mengatasi defisit neraca perdagangan Indonesia, antara lain menjaga stabilitas nilai tukar, mengendalikan konsumsi masyarat terhadap barang impor, dan menarik Foreign Direct Investment. This paper examines the development of Indonesia’s trade balance and its determinant factors from the first quarter of 2006 to the second quarter of 2013 using a Vector Error Correction Model (VECM). The development of trade balance from the year 2006-2011 has shown a positive trend. However between the year 2012 and 2013, the trade balance has been negative.The analysis shows that both in the short run and the long run,the domestic consumption and Real Exchage Rate have negative and significant influence on Indonesia’s trade balance. Whilst Foreign Direct Investment and Foreign GDP have positive effect. The coefficient of Error Correction Model is negative and significant implying that there is correction movement from those variabels in the long run. This study suggests that the Government should make the right policy to overcome the deficit of trade balance by maintaining including exchange rate stability,and household consumption of imported goods as well as by attracting Foreign Direct Investment.


2016 ◽  
Vol 5 (2) ◽  
pp. 87-103 ◽  
Author(s):  
Ritu Rani ◽  
Naresh Kumar

Fiscal deficit above a certain limit is not good for the country because high government borrowings raise the interest rate and crowd out private investment. This article is an attempt to analyze the impact of fiscal deficit on real interest rate in India over the time period of 1980–1981 to 2013–2014. Autoregressive distributed lags bound testing approach for cointegration and vector error correction model for Granger casualty are used in a multivariate framework in which money supply and inflation are included as additional variables. Bound test results confirm the long-run equilibrium relationship among the competing variables. Further, the rate of interest and fiscal deficit are positively related with each other in long run, whereas money supply and inflation are found to be negative and statistical significant. In addition, results of vector error correction model showed that there is unidirectional causality running from inflation to real interest rate in short run. Based on the findings, it is suggested that that proper fiscal consolidation is required to control high fiscal deficit and burgeoning interest rate in India. Further, government should move from market borrowing to tax revenue to offset fiscal deficit.


2020 ◽  
Vol 5 (3) ◽  
Author(s):  
Imam Mukhlis

This research aims to estimate the demand for money model in Indonesia for 2005.22015.12. The variables used in this research are demand for money, interest rate, inflation, and exchange rate (IDR/US$). The stationary test with ADF used to test unit root in the data. Cointegration test applied to estimate the long run relationship between variables. This research employed the Vector Error Correction Model (VECM) to estimate the money demand model in Indonesia. The results showed that all the data was stationer at the difference level (1%). There were long run relationship between interest rate, inflation and exchange rate to demand for money in Indonesia. The VECM model could not explain interaction between explanatory variables to independent variables. In the short run, there were not relationship between interest rate, inflation and exchange rate to demand for money in Indonesia for 2005.2-2015.12.


Sign in / Sign up

Export Citation Format

Share Document