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2023 | z. 186 W kierunku przyszłości zarządzania | 759--769
Tytuł artykułu

Nonlinear Granger Causality between Natural Gas and Heating Oil Prices and Selected Exchange Rates

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: The currently observed uncertainty in financial markets related to changes taking place in the modern world requires investors to look for tools that allow for good forecasting of the price of financial instruments. The detection of causal relationships may contribute to improving the quality of forecasts by reducing the variance of the prediction error. The aim of the research is to detect nonlinear Granger causality in both directions between selected financial instruments and to check whether the identified relationships are stable over time. Design/methodology/approach: The study of causal relationships between selected financial instruments was carried out using the nonparametric Diks-Panchenko test. This test identifies all types of relationships: linear and nonlinear. Findings: In the first phase of the study, nonlinear Granger causality was tested using the nonparametric Diks-Panchenko test. Six values of lags and two distance measures were used. It is then shown that the significance of the detected relationships has changed in recent years. For this purpose, two directions of causality and three sub-periods were analyzed. Research limitations/implications: Due to the short-term character of the detected relationships, they should be taken into consideration primarily by market participants, to create effective investment portfolios and risk-hedging strategies. Practical implications: Application in making investment decisions on the capital market. Originality/value: The use of information on causal relationships to improve the quality of forecasts related to the energy and currency markets. (original abstract)
Twórcy
  • University of Economics in Katowice, Poland
Bibliografia
  • 1. Adam, P., Rosnawintang, R., Saidi, L.O., Tondi, L., Sani, L.O.A. (2018). The causal relationship between crude oil price, exchange rate and rice price. International Journal of Energy Economics and Policy, 8, 90-94.
  • 2. Beckmann, J., Czudaj, R.L., Arora, V. (2020). The relationship between oil prices and exchange rates: Revisiting theory and evidence. Energy Economics, 88, 104772.
  • 3. Brahmasrene, T., Huang, J.-C., Sissoko, Y. (2014). Crude oil prices and exchange rates: Causality, variance decomposition and impulse response. Energy Economics, 44, 407-412.
  • 4. Diks, C., Panchenko, V. (2006). New statistics and practical guidelines for nonparametric Granger causality testing. Journal of Economic Dynamics and Control, 30, 1647-1669.
  • 5. Fratzscher, M., Schneider, D., Van Robays, I. (2014). Oil Prices, Exchange Rates and Asset Prices. Working Paper Series, no. 1689. Frankfurt, Germany: European Central Bank, 1- 45.
  • 6. Granger, C.W.J. (1969). Investigating Casual Relations by Econometric Models and Cross- -Spectral Methods. Econometrica, 37, 24-36.
  • 7. Hiemstra, C., Jones, J.D. (1994). Testing for linear and nonlinear Granger causality in the stock price volume relation. Journal of Finance, 49, 1639-1664.
  • 8. Kaliski, M. (2010). Gaz ziemny w Polsce - wydobycie, zużycie, import do 2030 roku. Górnictwo i geologia, 3, 27-40.
  • 9. Orzeszko, W. (2021). Nonlinear Causality between Crude Oil Prices and Exchange Rates: Evidence and Forecasting. Energies, 14, 6043.
  • 10. Orzeszko, W., Osińska, M. (2007). Analiza przyczynowości w zakresie zależności nieliniowych: implikacje finansowe. Zeszyty Naukowe Uniwersytety Szczecińskiego. Finanse, Rynki Finansowe, Ubezpieczenia, nr 6, cz. 1, Rynek kapitałowy: skuteczne inwestowanie, 151-165.
  • 11. Sharma, N. (2017). Cointegration and causality among stock prices, oil prices and exchange rate: Evidence from India. Int. J. Stat. Syst., 12, 167-174.
  • 12. Suleymanli, J.E., Rahimli, E.M., Akbulae, N.N (2020). The Causality Analysis of the Effect of Oil and Natural Gas Prices on Ukraine Stock Index. International Journal of Energy Economics and Policy, 10(4), 108-114.
  • 13. Syczewska, E.M. (2014). Przyczynowość w sensie Grangera- wybrane metody. Metody ilościowe w badaniach ekonomicznych, Tom XV/4, 169-180.
  • 14. Wen, F., Xiao, J., Huang, C., Xia, X. (2017). Interaction between oil and US dollar exchange rate: Nonlinear causality, time-varying influence and structural breaks in volatility. Applied Economics, 50, 319-334.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171690358

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