Have a personal or library account? Click to login

Oil and Stock Markets in Ongoing Flux: Impact of Current Events on Oil Price and Stock Market Performance

Open Access
|Jul 2024

References

  1. Andersson-Säll, T., & Lindskog, J.S. (2019). A STUDY ON THE DCC-GARCH MODEL’S FORECASTING ABILITY WITH VALUE-AT-RISK APPLICATIONS ON THE SCANDINAVIAN FOREIGN EXCHANGE MARKET. Economics, 2019.
  2. Binkley, J.K., & Young, J. (2018). The Chow Test with Time Series-Cross Section Data. Social Science Research Network.
  3. Bollerslev, T. (1986). Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31, 307-327.
  4. Bollerslev, T. (1990). Modelling the Coherence in Short-Run Nominal Exchange Rates: A Multivariate Generalized Arch Model. The Review of Economics and Statistics, 72 (3), 498-505.
  5. Chow, G.C. (1960). Tests of Equality Between Sets of Coefficients in Two Linear Regressions. Econometrica, 28(3), 591-605.
  6. Degiannakis, S., Filis, G., & Arora, V. (2018). Oil Prices and Stock Markets: A Review of the Theory and Empirical Evidence. The Energy Journal, International Association for Energy Economics, 39(5).
  7. Engle, F.R. (1982). Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation. Econometrica, 50(4), 987-1007.
  8. Engle, F.R., & Sheppard, K. (2001). Theoretical and Empirical Properties of Dynamic Conditional Correlation Multivariate GARCH. NBER Working Paper: No. w8554.
  9. Engle, F.R. (2002). Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models. Journal of Business & Economic Statistics, 20(3), 339-350.
  10. Fuller, W.A. (1976). Introduction to Statistical Time Series. New York: John Wiley and Sons.
  11. Giacometti, R., Torri, G., Rujirarangsan, K., & Cameletti, M. (2023). Spatial Multivariate GARCH Models and Financial Spillovers. Journal of Risk and Financial Management, 16(9):397.
  12. Joo, Y.C., & Park, S.Y. (2021). The impact of oil price volatility on stock markets: Evidences from oil-importing countries. Energy Economics, 101(2021), 105413.
  13. Kilian, L., & Park, C. (2009). The Impact of Oil Price Shocks on the U.S. Stock Market. International Economic Review, 50(4), 1267-1287.
  14. Managi, S., Yousfi, M., Zaied, Y.B., Mabrouk, N.B., & Lahouel, B.B. (2022). Oil price, US stock market and the US business conditions in the era of COVID-19 pandemic outbreak. Economic Analysis and Policy, 73, 129-139.
  15. Mensi, W., Rehman, M.U., Al-Yahyaee, K.H., & Vo, X.V. (2023). Frequency dependence between oil futures and international stock markets and the role of gold, bonds, and uncertainty indices: Evidence from partial and multivariate wavelet approaches. Resources Policy, Elsevier, 80(C).
  16. Orskaug, E. (2009). Multivariate DCC-GARCH Model-With Various Error Distributions. Norwegian University of Science and Technology.
  17. Taleb, N.N. (2008). The black swan: the impact of the highly improbable. New York: Random House.
Language: English
Page range: 3320 - 3331
Published on: Jul 3, 2024
Published by: Bucharest University of Economic Studies
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2024 Maria-Cristina Zwak-Cantoriu, published by Bucharest University of Economic Studies
This work is licensed under the Creative Commons Attribution 4.0 License.