scholarly journals Attention to the Election-Economics-Politics (EEP) Nexus in the Indian Stock Markets

2021 ◽  
Vol 13 (1) ◽  
pp. 7-32
Author(s):  
Chandra Sinha Paritosh ◽  
Keyword(s):  
Stock Markets ◽  
Economic Factor ◽  
Research Problem ◽  
Ardl Model ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag

Do investors pay attention to the election-economics-politics (EEP) nexus in the stock markets? In examining this research problem during the 17th Lok Sabha Election in India, this study explores the cointegrating relationships of itsí stock marketsí returns and realised trade volumes with investorsíselective attention to keywords in Google searches. The article uses the autoregressive distributed lag (ARDL) model. It reveals ingenious Öndings that investorsíattention dynamics at EEP nexus cointegrate either with the stock-marketsí returns or realised trade-volumes. It also identiÖes investorsí attention myopia, where the cointegration twists once the nexus pulls o§ its election or economic factor/s.

scholarly journals INSTITUTIONAL QUALITY AND ECONOMIC GROWTH IN JORDAN: NEW EVIDENCE USING AN AUTOREGRESSIVE DISTRIBUTED LAG (ARDL) MODEL

2021 ◽  
Vol 16 (3) ◽  
pp. 204-219
Author(s):  
ZULKEFLY ABDUL KARIM ◽  
◽  
MOHAMMAD QASIM ALABED QUSAI ◽  
FATHIN FAIZAH SAID ◽  
MOHD AZLAN SHAH ZAIDI
Keyword(s):  
Economic Growth ◽  
Institutional Quality ◽  
Ardl Model ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
New Evidence

scholarly journals Pengaruh KPR terhadap Keterjangkauan Harga Properti Residensial

2019 ◽  
Vol 3 (3) ◽  
pp. 182-197
Author(s):  
Pihri Buhaerah
Keyword(s):  
Public Housing ◽  
Residential Property ◽  
Research Approach ◽  
Ardl Model ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Property Prices ◽  
Property Price ◽  
Price Growth ◽  
Bank For International Settlements

AbstractThis paper describes and examines the linkage of house mortgages on residential property price growth in Indonesia by using qualitative and quantitative research methods. The qualitative research approach is used to elaborate descriptively the role of house mortgages on residential property prices. To strengthen it, this study then employs one of time series regression analyses namely autoregressive distributed lag (ARDL) model for the period of 2002Q1-2017Q4. To achieve the objective of this study, data was collected from secondary sources such as Bank for International Settlements (BIS), Bank Indonesia (BI), and Central Statistics Agency (BPS). The qualitative approach shows that under lack of land banking and public housing zones, the expansion of house mortgages affect positively residential property prices both for private and public housing.  The argument has been confirmed from regression analysis by using the ARDL model. The estimation results using the ARDL model show that there is a positive and significant relationship between house mortgage on residential property price growth both in the long-run and in the short-run.  Keywords: house mortgage, property residential prices, land, ARDL modelJEL Classification: C22, E51, G21  AbstrakStudi ini membahas secara deskriptif dan empiris peran pembiayaan pemilikan rumah terhadap harga properti residensial di Indonesia dengan menggunakan metode penelitian kualitatif dan kuantitatif. Pendekatan kualitatif digunakan untuk menggambarkan secara deskriptif peran pembiyaan pemilikan rumah terhadap harga properti residensial. Selanjutnya, untuk memperkuat argument tersebut, studi ini kemudian melibatkan salah satu teknik analisis regresi data runtun waktu yaitu model autoregressive distributed lag (ARDL) untuk periode 2002Q1-2017Q4. Untuk mencapai tujuan penelitian, data dikumpulkan dari beragam sumber data sekunder seperti Bank for International Settlements (BIS), Bank Indonesia (BI), dan Badan Pusat Statistik (BPS). Hasilnya, dengan menggunakan pendekatan kualitatif menunjukkan bahwa tanpa pelembagaan bank tanah dan zonasi khusus perumahan rakyat, skema pembiayaan kepemilikan rumah hanya akan melambungkan harga properti residensial. Argumen ini juga terkonfirmasi dari analisis regresi dengan menggunakan model ARDL. Hasil estimasi dengan menggunakan model ARDL menunjukkan bahwa terdapat hubungan jangka panjang antara kredit kepemilikan rumah dengan harga property residensial baik untuk jangka pendek maupun jangka panjang.  Kata Kunci: Kredit pemilikan rumah, harga properti residensial, tanah, model ARDLJEL Classification: C22, E51, G21 

scholarly journals Nonlinearities and asymmetric adjustment to PPP in an exchange rate model with inflation expectations

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Christina Anderl ◽  
Guglielmo Maria Caporale
Keyword(s):  
Exchange Rate ◽  
Purchasing Power Parity ◽  
Inflation Targeting ◽  
Real Exchange Rates ◽  
Policy Implications ◽  
Inflation Expectations ◽  
Ardl Model ◽  
Content Type ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag

PurposeThis paper aims to explain real exchange rate fluctuations by means of a model including both standard fundamentals and two alternative measures of inflation expectations for five inflation targeting countries (the UK, Canada, Australia, New Zealand and Sweden) over the period January 1993–July 2019.Design/methodology/approachBoth a benchmark linear autoregressive distributed lag (ARDL) model and a nonlinear autoregressive distributed lag (NARDL) specification are considered.FindingsThe results suggest that the nonlinear framework is more appropriate to capture the behaviour of real exchange rates given the presence of asymmetries both in the long and short run. In particular, the speed of adjustment towards the purchasing power parity (PPP) implied long-run equilibrium is three times faster in a nonlinear framework, which provides much stronger evidence in support of PPP. Moreover, inflation expectations play an important role, with survey-based ones having a more sizable effect than market-based ones.Originality/valueThe focus on linearities and the estimation of a NARDL model, which is shown to outperform the linear ARDL model both within sample and out of sample, is an important contribution to the existing literature which has rarely applied this type of framework; the choice of an appropriate econometric method also makes the policy implications of the analysis more reliable; in particular, monetary authorities should aim to achieve a high degree of credibility to manage them and thus currency fluctuations effectively; the inflation targeting framework might be especially appropriate for this purpose.

scholarly journals Effects of Agricultural, Manufacturing, and Mineral Exports on Angola’s Economic Growth

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1494 ◽  
Author(s):  
Titus Isaiah Zayone ◽  
Shida Rastegari Henneberry ◽  
Riza Radmehr
Keyword(s):  
Economic Growth ◽  
Positive Impact ◽  
Dutch Disease ◽  
Ardl Model ◽  
Agricultural Exports ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Using Data

This study investigates the effects of Angola’s agricultural, manufacturing, and mineral exports on the country’s economic growth using data from 1980 to 2017. An Autoregressive Distributed Lag (ARDL) model is employed to estimate the effect of sectoral exports on economic growth. The estimation results show that while exports from all three sectors (manufacturing, mineral, and non-mineral) have driven Angola’s economic growth in the long-run; only non-manufacturing (agricultural and mineral) exports have led its growth in the short-run. Moreover, growth in non-export GDP was driven by mineral exports in the long-run and agricultural exports in the short-run. Considering the statistically significant and positive impact of mineral exports on the Angolan GDP as well as on its non-export GDP, this study points to a lack of evidence supporting the Dutch disease phenomenon in Angola.

scholarly journals Effects of COVID-19 on Indian Energy Consumption

2020 ◽  
Vol 12 (14) ◽  
pp. 5616 ◽  
Author(s):  
Kentaka Aruga ◽  
Md. Monirul Islam ◽  
Arifa Jannat
Keyword(s):  
Energy Consumption ◽  
Positive Impact ◽  
Indian Government ◽  
Ardl Model ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
North Eastern ◽  
Relaxed Energy ◽  
Positive Effect

Just after the Indian government issued the first lockdown rule to cope with the increasing number of COVID-19 cases in March 2020, the energy consumption in India plummeted dramatically. However, as the lockdown relaxed, energy consumption started to recover. In this study, we investigated how COVID-19 cases affected Indian energy consumption during the COVID-19 crisis by testing if the lockdown release had a positive impact on energy consumption and if richer regions were quicker to recover their energy consumption to the level before the lockdown. Using the autoregressive distributed lag (ARDL) model, the study reveals that a long-run relationship holds between the COVID-19 cases and energy consumption and that the COVID-19 cases have a positive effect on Indian energy consumption. This result indicates that as lockdown relaxed, energy consumption started to recover. However, such a positive impact was not apparent in the Eastern and North-Eastern regions, which are the poorest regions among the five regions investigated in the study. This implies that poorer regions need special aid and policy to recover their economy from the damage suffered from the COVID-19 crisis.

scholarly journals TOURISM DEMAND IN INDONESIA: IMPLICATIONS IN A POST-PANDEMIC PERIOD

2021 ◽  
Vol 37 (3) ◽  
pp. 951-958
Author(s):  
Miguel Angel ESQUIVIAS ◽  
◽  
Lilik SUGIHARTI ◽  
Hilda ROHMAWATI ◽  
Bekti SETYORANI ◽  
...  
Keyword(s):  
Relative Price ◽  
Tourism Demand ◽  
Luxury Good ◽  
Ardl Model ◽  
Relative Prices ◽  
Price Competitiveness ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Competitive Prices

This study uses an autoregressive distributed lag (ARDL) model to investigate the role of incomes, relative price competitiveness, and substitution prices in tourism demand from Indonesia’s six largest countries of origin from 2007Q1 to 2019Q4. Income level, competitive prices, and substitution prices significantly impact the demand for tourism in Indonesia. Malaysia, Singapore, Australia, Japan, and India are income elastic, signaling that tourism is a luxury good, but China (normal good). Malaysia and China are price elastic while Japan, India, Singapore, and Australia are less affected by changes in relative prices. Substitute prices may drive tourist to other destinations if the change in prices is large.

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