scholarly journals Intervenções Regulatórias, Volatilidade e Contágio: Uma Análise VIRF

2014 ◽  
Vol 12 (3) ◽  
pp. 385
Author(s):  
Gabriel Godofredo Fiuza de Bragança ◽  
Marcelo De Sales Pessoa ◽  
Katia Rocha
Keyword(s):  
Impulse Response ◽  
Response Function ◽  
Impulse Response Function ◽  
The Other ◽  
Conditional Heteroskedasticity ◽  
Regulatory Interventions ◽  
The One ◽  
The Impact ◽  
Electricity Utilities ◽  
Regulatory Measure

This paper examines how regulatory interventions can affect the market risk of electricity utilities and telecom carriers traded in the Brazilian stock market (BOVESPA). Our article uses a bivariate Generalized AutoRegressive Conditional Heteroskedasticity (GARCH - BEKK) model to analyze the impact of two relevant and surprising measures taken by the correspondent Brazilian regulatory authorities in 2012 (one in each sector) on both markets’ volatilities and covariance. We also adopt the volatility impulse response function (VIRF) developed by Hafner & Herwartz (2006) to estimate their persistence. On the one hand, the results indicate that the effects of the telecommunications’ regulatory intervention are negligible but, on the other hand, the impact of the electricity's regulatory measure is significant, long-lasting and contagious.

scholarly journals Unemployment and COVID-19 Impact in Greece: A Vector Autoregression (VAR) Data Analysis

2021 ◽  
Vol 5 (1) ◽  
pp. 41
Author(s):  
Christos Katris
Keyword(s):  
Data Analysis ◽  
Response Function ◽  
Unemployment Rate ◽  
Vector Autoregression ◽  
Impulse Response Function ◽  
Youth Unemployment ◽  
The Other ◽  
Var Model ◽  
Unemployment Rates ◽  
The Impact

In this paper, the scope is to study whether and how the COVID-19 situation affected the unemployment rate in Greece. To achieve this, a vector autoregression (VAR) model is employed and data analysis is carried out. Another interesting question is whether the situation affected more heavily female and the youth unemployment (under 25 years old) compared to the overall unemployment. To predict the future impact of COVID-19 on these variables, we used the Impulse Response function. Furthermore, there is taking place a comparison of the impact of the pandemic with the other European countries for overall, female, and youth unemployment rates. Finally, the forecasting ability of such a model is compared with ARIMA and ANN univariate models.

scholarly journals Crude oil price variability and its impact on ethanol prices

2011 ◽  
Vol 57 (No. 8) ◽  
pp. 394-403 ◽  
Author(s):  
J. Pokrivčák ◽  
M. Rajčaniová
Keyword(s):  
Crude Oil ◽  
Impulse Response ◽  
Response Function ◽  
Impulse Response Function ◽  
Oil Prices ◽  
Oil Price ◽  
Biofuel Production ◽  
Oil Price Shock ◽  
Price Shock ◽  
The Impact

The world annual biofuel production has exceeded 100 billion litres in 2009. The development of the biofuel production is partly influenced by the government support programs and partly by the development of oil prices. The main purpose of this paper is to analyze the statistical relationship between ethanol, gasoline and crude oil prices. We aim to check the correlation among these variables and to analyze the strength and direction of a possible linear relationship among the variables. We are interested in analyzing how each variable is related to another, so we evaluate the inter-relationship among the variables in the Vector Autoregression (VAR) and the Impulse Response Function (IRF). In order to achieve our goal, we first collected weekly data for each variable from January, 2000 to October, 2009. The results provide evidence of the cointegration relationship between oil and gasoline prices, but no cointegration between ethanol, gasoline and ethanol, oil prices. As a result, we used a VAR model on first differences. After running the Impulse Response Function, we found out that the impact of the oil price shock on the other variables is considerable larger than vice versa. The largest impact of oil price shock was observed on the price of gasoline.  

scholarly journals Impact of Covid-19 on the Financial Sector Indices

2021 ◽  
Vol 14 (2) ◽  
pp. 137-145
Author(s):  
Bhuvaneshwari D. ◽  
Keyword(s):  
Granger Causality ◽  
Impulse Response ◽  
Response Function ◽  
Financial Services ◽  
Impulse Response Function ◽  
Financial Sector ◽  
Specific Reference ◽  
Ols Regression ◽  
Private Banks ◽  
The Impact

This study is an attempt to assess the impact of Covid-19 and the lockdown pronounced thereof on the Nifty sectoral indices with specific reference to the financial sector indices owing to their significance in the economy. The OLS regression, Granger Causality and Impulse Response Function were estimated to measure the changes in the future responses of Nifty 50 to the changes in the select sectoral indices, namely, Nifty Bank, Nifty Financial Services and Nifty Private Banks and Nifty PSU Banks for the period consisting two sub-periods, i.e., the first sub-period from April 2019 to March 2020 are assumed as the preCovid-19 period and the second sub-period from April 2020 to March 2021 is assumed as the period during Covid-19. The results indicated that the shock of the Covid-19 had an impact on the financial sector indices in India during the Covid-19 period.

scholarly journals The Impact of Agricultural Exports on Economic Growth in Nigeria

2016 ◽  
Vol 64 (2) ◽  
pp. 691-700 ◽  
Author(s):  
Nahanga Verter ◽  
Věra Bečvářová
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Impulse Response ◽  
Response Function ◽  
Impulse Response Function ◽  
Agricultural Trade ◽  
Variance Decomposition ◽  
Ols Regression ◽  
Agricultural Exports ◽  
The Impact

Agriculture is the backbone of Nigeria’s socioeconomic development. This paper investigates the impact of agricultural exports on economic growth in Nigeria using OLS regression, Granger causality, Impulse Response Function and Variance Decomposition approaches. Both the OLS regression and Granger causality results support the hypothesis that agricultural exports- led economic growth in Nigeria. The results, however, show an inverse relationship between the agricultural degree of openness and economic growth in the country. Impulse Response Function results fluctuate and reveal an upward and downward shocks from agricultural export to economic growth in the country. The Variance Decomposition results also show that a shock to agricultural exports can contribute to the fluctuation in the variance of economic growth in the long run. For Nigeria to experience a favourable trade balance in agricultural trade, domestic processing industries should be encouraged while imports of agricultural commodities that the country could process cheaply should be discouraged. Undoubtedly, this measure could drastically reduce the country’s overreliance on food imports and increase the rate of agricultural production for self-sufficiency, exports and its contribution to the economic growth in the country.

scholarly journals Reinvestment of earnings in Polish FDI inflows

2021 ◽  
Vol 71 (3) ◽  
pp. 465-485
Author(s):  
Aneta Kosztowniak
Keyword(s):  
Life Cycle ◽  
Impulse Response ◽  
Response Function ◽  
Impulse Response Function ◽  
Decomposition Analysis ◽  
Short Term ◽  
Fdi Inflows ◽  
Important Impact ◽  
Long Time ◽  
The Impact

Abstract The aim of this paper is to diagnose the cause-and-effect relationships between reinvestment of earnings (RoE) and other components of FDI inflows and GDP in Poland in the years of 2004–2019, using the VECM model**. Changes in the structure of FDI inflows in Poland are in line with the stages of the FDI life cycle. The increase in the share of RoE in the structure of these investments is also accompanied by an increase in the impact and the degree of explanation of changes in GDP. Studies confirmed that changes in the structure of FDI in Poland was adequate to the theoretical cycle of FDI life. The increase in the share of RoE in the structure of FDI inflows is accompanied by a decrease in equities. The VECM model, impulse response function and decomposition analysis confirmed that among FDI components mainly equities, and next, RoE have large participation in the degree of explanation of GDP. In the short-term, mainly equity has the most important impact on GDP, and additionally, RoE. In the long-time, the importance of equity decreases, while increases the impact of RoE, and also, debt instruments. The increase in the share of RoE in the structure of FDI inflows accompanied by the increase in the impact of these investments on GDP changes.

Agricultural production in Poland and agri-food exports

2018 ◽  
Vol 63 (4) ◽  
pp. 58-72
Author(s):  
Jacek Strojny
Keyword(s):  
Economic Policy ◽  
Impulse Response ◽  
Response Function ◽  
Agricultural Production ◽  
Vector Autoregression ◽  
Impulse Response Function ◽  
Variance Decomposition ◽  
The Other ◽  
Var Model ◽  
Research Show

The research is aiming at the identification of the dynamic causality between agricultural production in Poland and exports of agri-food goods. Identification of the magnitude and direction of these variables may be used for economic policy forming. The study covers the period of 1991—2013 and is based on the data from the FAO; the research employs the vector autoregression methodology (VAR). The study comprises, among others, the analysis of the impulse response function and variance decomposition of forecasts’ errors of VAR model variables. The results of the research show that agricultural production in Poland is shaped by both own and exports delays. On the other hand, agri-food exports are mainly influenced by their own development trends. This means that, in the VAR model, exports should be seen as a priority ('more exogenous').

scholarly journals Accounting for the climate–carbon feedback in emission metrics

2017 ◽  
Vol 8 (2) ◽  
pp. 235-253 ◽  
Author(s):  
Thomas Gasser ◽  
Glen P. Peters ◽  
Jan S. Fuglestvedt ◽  
William J. Collins ◽  
Drew T. Shindell ◽  
...  
Keyword(s):  
Global Warming ◽  
Impulse Response ◽  
Response Function ◽  
Impulse Response Function ◽  
The Other ◽  
System Model ◽  
Earth System ◽  
Assessment Report ◽  
Global Temperature Change ◽  
Relative Metric

Abstract. Most emission metrics have previously been inconsistently estimated by including the climate–carbon feedback for the reference gas (i.e. CO2) but not the other species (e.g. CH4). In the fifth assessment report of the IPCC, a first attempt was made to consistently account for the climate–carbon feedback in emission metrics. This attempt was based on only one study, and therefore the IPCC concluded that more research was needed. Here, we carry out this research. First, using the simple Earth system model OSCAR v2.2, we establish a new impulse response function for the climate–carbon feedback. Second, we use this impulse response function to provide new estimates for the two most common metrics: global warming potential (GWP) and global temperature-change potential (GTP). We find that, when the climate–carbon feedback is correctly accounted for, the emission metrics of non-CO2 species increase, but in most cases not as much as initially indicated by IPCC. We also find that, when the feedback is removed for both the reference and studied species, these relative metric values only have modest changes compared to when the feedback is included (absolute metrics change more markedly). Including or excluding the climate–carbon feedback ultimately depends on the user's goal, but consistency should be ensured in either case.

Fractional Vector-Order h-Realisation of the Impulse Response Function

2020 ◽  
Vol 14 (2) ◽  
pp. 108-113
Author(s):  
Ewa Pawłuszewicz
Keyword(s):  
Control Systems ◽  
Impulse Response ◽  
Response Function ◽  
Impulse Response Function ◽  
Linear Control ◽  
Linear Control Systems

AbstractThe problem of realisation of linear control systems with the h–difference of Caputo-, Riemann–Liouville- and Grünwald–Letnikov-type fractional vector-order operators is studied. The problem of existing minimal realisation is discussed.

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