scholarly journals Revisiting the Dynamics of the Fiscal Deficit and Inflation in India: the Nonlinear Autoregressive Distributed Lag Approach

2021 ◽  
Vol 17 (1) ◽  
pp. 318-328
Author(s):  
Vishal Sharma ◽  
Ashok Mittal
Keyword(s):  
Price Level ◽  
Developing Economies ◽  
Fiscal Deficit ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Reserve Bank ◽  
Selection Of Variables ◽  
Government Deficit ◽  
Nonlinear Autoregressive

The chronic government deficit (fiscal deficit) and increase in the price level (inflation) have become major concerns for economists and policymakers. While numerous studies have examined the twin problems of the fiscal deficit and inflation for both developed and developing economies, their results are inconclusive due to different estimation techniques, chosen time periods, selection of variables, etc. Therefore, we examined the fiscal deficit-inflation nexus in India for the period from 1980–81 to 2016–17 by employing the Autoregressive Distributed Lag (ARDL) and Nonlinear Autoregressive Distributed Lag (NARDL) approaches. The results of the ARDL approach found no evidence of linear relationship between fiscal deficit and inflation in the Indian context. Further, the empirical findings of the NARDL model confirmed the nonlinear relationship between fiscal deficit and inflation in the long run and no association between money supply and inflation, supporting the ideas of the Fiscal Theory of the Price Level (FTPL) in the case of India. FTPL postulates that public debt and taxation policies drive price level; monetary policy has an indirect role only. Therefore, fiscal policymakers should focus on reducing fiscal deficits. Simultaneously, the Reserve Bank of India (RBI) should regulate lending interest rate so that a mix of fiscal and monetary policies can be applied for controlling inflation in India.

Asymmetric Effect of Fiscal Deficit on Current Account Deficit: Evidence from India

2021 ◽  
pp. 097226292110572
Author(s):  
Vishal Sharma ◽  
Masudul Hasan Adil ◽  
Sana Fatima ◽  
Ashok Mittal
Keyword(s):  
Current Account ◽  
Positive Impact ◽  
Current Account Deficit ◽  
Fiscal Deficit ◽  
Asymmetric Effect ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Asymmetric Impact ◽  
The Impact

This study has attempted to re-investigate the impact of fiscal deficit (FD) on current account deficit (CAD) (also known as twin deficit hypothesis) in India from 1970–1971 to 2018–2019 in the presence of private saving–investment gap (SI) and exchange rate (EXR). For the empirical investigation, the study has employed the nonlinear autoregressive distributed lag (NARDL) approach to cointegration. The NARDL results found the evidence of an asymmetric effect of FD, SI and EXR on CAD in the long run only. The obtained results support the traditional views of the Keynesian approach that FD has a positive impact on CAD, validates the existence of the ‘Twin Deficit Hypothesis’ in India. Further, results also depict that SI has a positive effect on CAD, whereas EXR has an adverse impact on CAD. From a policy standpoint, the asymmetric impact of FD on CAD provides strong reasons for conceiving policies that are adaptable to changing dynamics in internal as well as external sectors.

scholarly journals ASYMMETRY IN THE STOCK PRICE RESPONSE TO MACROECONOMIC SHOCKS: EVIDENCE FROM THE KOREAN MARKET

2018 ◽  
Vol 19 (2) ◽  
pp. 343-359 ◽  
Author(s):  
Geul Lee ◽  
Doojin Ryu
Keyword(s):  
Nonlinear Model ◽  
Stock Price ◽  
Macroeconomic Shocks ◽  
Macroeconomic Variables ◽  
Price Response ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Korean Market ◽  
Nonlinear Autoregressive

This study investigates stock price movements in response to macroeconomic shocks, allowing for asymmetry in this relationship. Given Ferson’s (1989) finding that large and small stocks can exhibit different risk behaviors, we examine the behaviors of the KOSPI and KOSDAQ stock markets in response to changes in the price level, real interest rate, and real USD/KRW exchange rate using simple and nonlinear autoregressive-distributed lag (ARDL) models. We find that the long-run effects of macroeconomic shocks are relatively insignificant under the simple ARDL model, whereas a significant and negative long-run effect is found for almost every explanatory variable–market pair under the nonlinear model. In addition, we find that the long-run effects of stock price shocks on macroeconomic variables are more significant under the nonlinear model. Overall, the results imply that it is difficult to identify the relationship between macroeconomic variables and stock price dynamics without considering asymmetry.

scholarly journals A Nonlinear Autoregressive Distributed Lag (NARDL) Analysis of the FTSE and S&P500 Indexes

Risks ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 195
Author(s):  
David Allen ◽  
Michael McAleer
Keyword(s):  
Weak Form ◽  
Stationary Time Series ◽  
Bounds Testing ◽  
Distributed Lag ◽  
Price Series ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Quantile Regression Analysis ◽  
The Impact ◽  
Nonlinear Autoregressive

The paper features an examination of the link between the behaviour of the FTSE 100 and S&P500 Indexes in both an autoregressive distributed lag ARDL, plus a nonlinear autoregressive distributed lag NARDL framework. The attraction of NARDL is that it represents the simplest method available of modelling combined short- and long-run asymmetries. The bounds testing framework adopted means that it can be applied to stationary and non-stationary time series vectors, or combinations of both. The data comprise a daily FTSE adjusted price series, commencing in April 2009 and terminating in March 2021, and a corresponding daily S&P500 Index adjusted-price series obtained from Yahoo Finance. The data period includes all the gyrations caused by the Brexit vote in the UK, beginning with the vote to leave in 2016 and culminating in the actual agreement to withdraw in January 2020. It was then followed by the impact of the global spread of COVID-19 from the beginning of 2020. The results of the analysis suggest that movements in the contemporaneous levels of daily S&P500 Index levels have very significant effects on the behaviour of the levels of the daily FTSE 100 Index. They also suggest that negative movements have larger impacts than do positive movements in S&P500 levels, and that long-term multiplier impacts take about 10 days to take effect. These effects are supported by the results of quantile regression analysis. A key result is that weak form market efficiency does not apply in the second period.

scholarly journals Asymmetric effects of rainfall on food crop prices: evidence from Rwanda

2017 ◽  
Vol 8 (3) ◽  
pp. 137-149 ◽  
Author(s):  
Aimable Nsabimana ◽  
Olivier Habimana
Keyword(s):  
Empirical Investigation ◽  
Global Climate ◽  
Food Crop ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Crop Varieties ◽  
Long Run ◽  
Short Run ◽  
Food Affordability ◽  
Nonlinear Autoregressive

This study examined the effects of the likely change in rainfall on food crop prices in Rwanda, a landlocked country where agriculture is mainly rain-fed. The empirical investigation is based on nonlinear autoregressive distributed lag cointegration framework, which incorporates an error correction mechanism and allows estimation of asymmetric long-run and short-run dynamic coefficients. The results suggest that food crop prices are vulnerable to rainfall shocks and that the effect is asymmetric in both the short and long run. Moreover, there was evidence of seasonal differences, with prices falling during harvest season and rising thereafter. Considering the ongoing threat of global climate change, and in order to cope with rainfall shortage and uncertainty, increase food affordability and ultimately ensure food security throughout the year, there is a need to develop and distribute food crop varieties and crop technologies that reduce the vulnerability of farming to rainfall shocks.

Wagner versus Keynes: the causal nexus between Government Expenditures and Economic Growth: An Empirical study of Burkina Faso

2016 ◽  
Vol 3 (2) ◽  
pp. 74-101 ◽  
Author(s):  
Isaac Kwesi Ampah ◽  
Balázs Kotosz
Keyword(s):  
Burkina Faso ◽  
Developing Economies ◽  
Government Expenditures ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Spending Patterns ◽  
Cointegration Tests ◽  
Causality Tests ◽  
Causal Nexus

AbstractThe spending patterns of governments in the world especially developing economies have changed significantly over the last several decades. The main objective of this paper is analysing the relationship between government expenditures and growth in Burkina Faso’s economy. The study focuses on testing the various versions of Wagner’s hypothesis using the Burkina Faso data between 1960-2015 by an Autoregressive-Distributed Lag (ARDL) model. Cointegration tests, the long-run parameters and causality tests found valid Keynesian and Wagnerian relationship, but results are sensitive to the variable definition; the use of relative and absolute measures, local and international currency leads to a different conclusion.

scholarly journals Symmetric and asymmetric effects of financial development on carbon dioxide emissions in Nigeria: Evidence from linear and nonlinear autoregressive distributed lag analyses

2020 ◽  
Vol 38 (5) ◽  
pp. 2059-2078 ◽  
Author(s):  
Philip C Omoke ◽  
Silva Opuala-Charles ◽  
Chinazaekpere Nwani
Keyword(s):  
Carbon Dioxide ◽  
Financial Development ◽  
Carbon Dioxide Emissions ◽  
Asymmetric Effects ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Linear And Nonlinear ◽  
The Impact ◽  
Nonlinear Autoregressive

This study examines the impact of financial development on carbon dioxide emissions in Nigeria over the period 1971–2014. Income per capita, energy consumption, exchange rate and urbanization are incorporated in the analysis. The empirical analysis based on linear and nonlinear autoregressive distributed lag techniques provides evidence of long-run relationship among the variables in Nigeria. The results in general show that financial development has significant asymmetric effects on carbon dioxide emissions in Nigeria. Both short-run and long-run analyses show that the impact of positive changes in financial development on carbon dioxide emissions is significantly different from that of negative changes. The results suggest that in Nigeria positive shocks in financial development have significant reducing effect on carbon dioxide emissions, while negative shocks in financial development have significant increasing effect on carbon dioxide emissions. The empirical results also show that the response of carbon dioxide emissions to negative shocks in financial development is stronger. Based on these findings, this study concludes that mitigation policies would need to incorporate strategies to strengthen the depth of financial intermediation in the Nigerian economy.

scholarly journals The Relationship between Money Supply, Price Level and Economic Growth In Pakistan: Keynesian versus Monetarist View

2018 ◽  
Vol 11 (2) ◽  
pp. 49-64
Author(s):  
Abdul Mansoor ◽  
Quratulain Shoukat ◽  
Shagufta Bibi ◽  
Khushbakht Iqbal ◽  
Romana Saeed ◽  
...  
Keyword(s):  
Economic Growth ◽  
Money Supply ◽  
Price Level ◽  
Economic Policies ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Relationship ◽  
Supply Price

AbstractThe objective of the study is to examine the relationship between money supply, price level and economic growth in the context of Pakistan by using Autoregressive Distributed Lag (ARDL) model, covered a period of 1980 to 2016. The results confirm the long-run relationship between the variables while using broad money supply as a response variable. However, in the price and income modeling, the variables do not support the cointegration relationship between the variables. The causality results confirmed the unidirectional relationship running from income to money supply, which implies that income do causes money supply in the short run, whereas money supply leads to inflation to support Monetarist view of inflation in a country. The results conclude that economic growth is imperative to stabilize money supply and price level through sound economic policies in a country.

scholarly journals Are Cryptocurrencies a Backstop for the Stock Market in a COVID-19-Led Financial Crisis? Evidence from the NARDL Approach

2021 ◽  
Vol 9 (3) ◽  
pp. 33
Author(s):  
Ahmed Jeribi ◽  
Sangram Keshari Jena ◽  
Amine Lahiani
Keyword(s):  
Financial Crisis ◽  
Stock Market ◽  
Safe Haven ◽  
Crisis Period ◽  
Fund Managers ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
The Relationship ◽  
Nonlinear Autoregressive

The study investigates the safe haven properties and sustainability of the top five cryptocurrencies (Bitcoin, Ethereum, Dash, Monero, and Ripple) and gold for BRICS stock markets during the COVID-19 crisis period from 31 January 2020 to 17 September 2020 in comparison to the precrisis period from 1 January 2016 to 30 January 2020, in a nonlinear and asymmetric framework using Nonlinear Autoregressive Distributed Lag (NARDL) methodology. Our results show that the relationship dynamics of stock market and cryptocurrency returns both in the short and long run are changing during the COVID-19 crisis period, which justifies our study using the nonlinear and asymmetric model. As far as a sustainable safe haven is concerned, Dash and Ripple are found to be a safe haven for all the five markets before the pandemic. However, all five cryptocurrencies are found to be a safe haven for three emerging markets, such as Brazil, China, and Russia, during the financial crisis. In a comparative framework, gold is found to be a suitable safe haven only for Brazil and Russia. The results have implications for index fund managers of BRICS markets to include Dash and Ripple in their portfolio as safe haven assets to protect its value during a stock market crisis.

scholarly journals International Real Estate Review

2017 ◽  
Vol 20 (2) ◽  
pp. 127-165
Author(s):  
Mohsen Bahmani-Oskooee ◽  
◽  
Seyed Hesam Ghodsi ◽  
Keyword(s):  
Household Income ◽  
House Prices ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Price Increases ◽  
Long Run ◽  
Short Run ◽  
Nonlinear Autoregressive ◽  
The U.S ◽  
Modelling Approach

When U.S. house prices were rising before the financial crisis of 2008, Case and Shiller (2003) argue that "income growth alone explains the pattern of recent home price increases in most states¨. Then can the decline in income after 2008 explain for the burst and abnormal decrease in house prices? Alternatively we ask whether the effects of income on house prices are symmetric or asymmetric. We employ quarterly data from each of the states in the U.S. and nonlinear autoregressive distributed lag modelling approach of Shin et al. (2014) to show that indeed, household income changes do have asymmetric effects on house prices in most of the states in the U.S. While adjustment asymmetry is borne out by the results in all states, asymmetric short-run impact is evidenced in 18 states and significant asymmetric long-run impact in 21 states.

scholarly journals Inward Foreign Direct Investment and Trade Openness in Vietnam: A Nonlinear Autoregressive Distributed Lag Approach

Economies ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 120
Author(s):  
Jen-Yao Lee ◽  
Ya-Chuan Hsiao ◽  
Ngochien Bui ◽  
Tien-Thinh Nguyen
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Trade Openness ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Inward Foreign Direct Investment ◽  
Nonlinear Autoregressive ◽  
Foreign Direct Investment Inflows

This study aims to examine the asymmetric relationship between trade openness and FDI (foreign direct investment) inflows to Vietnam by using NARDL (nonlinear autoregressive distributed lag) during the period from 1997 to 2019. Our findings show that the influence of FDI on trade openness is asymmetric in the short-run and long-run. But the influence of trade openness on FDI is symmetric in the short-run and asymmetric in the long run.

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