Directional predictability from energy markets to exchange rates and stock markets in the emerging market countries (E7 + 1): New evidence from cross‐quantilogram approach
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DOI: 10.1002/ijfe.2706
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- Aviral Kumar Tiwari & Muhammad Shahbaz & Rabeh Khalfaoui & Rizwan Ahmed & Shawkat Hammoudeh, 2022. "Directional predictability from energy markets to exchange rates and stock markets in the emerging market countries ( E7 + 1): New evidence from cross‐quantilogram approach," Post-Print hal-03823420, HAL.
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- Dario Caldara & Matteo Iacoviello, 2022.
"Measuring Geopolitical Risk,"
American Economic Review, American Economic Association, vol. 112(4), pages 1194-1225, April.
- Matteo Iacoviello, 2018. "Measuring Geopolitical Risk," 2018 Meeting Papers 79, Society for Economic Dynamics.
- Dario Caldara & Matteo Iacoviello, 2018. "Measuring Geopolitical Risk," International Finance Discussion Papers 1222r1, Board of Governors of the Federal Reserve System (U.S.), revised 23 Mar 2022.
- Jena, Sangram Keshari & Tiwari, Aviral Kumar & Hammoudeh, Shawkat & Roubaud, David, 2019. "Distributional predictability between commodity spot and futures: Evidence from nonparametric causality-in-quantiles tests," Energy Economics, Elsevier, vol. 78(C), pages 615-628.
- Jen-Je Su & Adrian (Wai-Kong) Cheung & Eduardo Roca, 2017. "Quantile serial dependence in crude oil markets: evidence from improved quantilogram analysis with quantile wild bootstrapping," Applied Economics, Taylor & Francis Journals, vol. 49(29), pages 2817-2828, June.
- Lutz Kilian, 2008.
"The Economic Effects of Energy Price Shocks,"
Journal of Economic Literature, American Economic Association, vol. 46(4), pages 871-909, December.
- Kilian, Lutz, 2007. "The Economic Effects of Energy Price Shocks," CEPR Discussion Papers 6559, C.E.P.R. Discussion Papers.
- Robert F. Engle & Simone Manganelli, 2004.
"CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 367-381, October.
- Engle, Robert F & Manganelli, Simone, 1999. "CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles," University of California at San Diego, Economics Working Paper Series qt06m3d6nv, Department of Economics, UC San Diego.
- Robert Engle & Simone Manganelli, 2000. "CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles," Econometric Society World Congress 2000 Contributed Papers 0841, Econometric Society.
- Wang, Tao & Yang, Jian, 2010. "Nonlinearity and intraday efficiency tests on energy futures markets," Energy Economics, Elsevier, vol. 32(2), pages 496-503, March.
- Bouri, Elie & Kachacha, Imad & Roubaud, David, 2020. "Oil market conditions and sovereign risk in MENA oil exporters and importers," Energy Policy, Elsevier, vol. 137(C).
- Scarcioffolo, Alexandre & Etienne, Xiaoli L., 2019. "Testing directional predictability between energy prices: A cross-quantilogram analysis," 2019 Annual Meeting, July 21-23, Atlanta, Georgia 290797, Agricultural and Applied Economics Association.
- Benoit Mandelbrot, 1963. "New Methods in Statistical Economics," Journal of Political Economy, University of Chicago Press, vol. 71(5), pages 421-421.
- Li, Sufang & Zhang, Hu & Yuan, Di, 2019. "Investor attention and crude oil prices: Evidence from nonlinear Granger causality tests," Energy Economics, Elsevier, vol. 84(C).
- Elie Bouri, 2019. "The Effect of Jumps in the Crude Oil Market on the Sovereign Risks of Major Oil Exporters," Risks, MDPI, vol. 7(4), pages 1-15, December.
- Li, Ta-Hsin, 2008. "Laplace Periodogram for Time Series Analysis," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 757-768, June.
- Ta-Hsin Li, 2012. "Quantile Periodograms," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(498), pages 765-776, June.
- Dai, Zhifeng & Kang, Jie, 2021. "Bond yield and crude oil prices predictability," Energy Economics, Elsevier, vol. 97(C).
- Jonathan Iworiso & Spyridon Vrontos, 2020. "On the directional predictability of equity premium using machine learning techniques," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(3), pages 449-469, April.
- Huayun Jiang & Jen‐Je Su & Neda Todorova & Eduardo Roca, 2016. "Spillovers and Directional Predictability with a Cross‐Quantilogram Analysis: The Case of U.S. and Chinese Agricultural Futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(12), pages 1231-1255, December.
- Baumöhl, Eduard & Lyócsa, Štefan, 2017.
"Directional predictability from stock market sector indices to gold: A cross-quantilogram analysis,"
Finance Research Letters, Elsevier, vol. 23(C), pages 152-164.
- Baumöhl, Eduard & Lyócsa, Štefan, 2017. "Directional predictability from stock market sector indices to gold: A cross-quantilogram analysis," MPRA Paper 76915, University Library of Munich, Germany.
- Benk, Szilard & Gillman, Max, 2020.
"Granger predictability of oil prices after the Great Recession,"
Journal of International Money and Finance, Elsevier, vol. 101(C).
- Szilard Benk & Max Gillman, 2019. "Granger Predictability of Oil Prices After the Great Recession," IMF Working Papers 2019/237, International Monetary Fund.
- Szilard Benk & Max Gillman, 2019. "Granger Predictability of Oil Prices after the Great Recession," CERGE-EI Working Papers wp650, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
- Naeem, Muhammad Abubakr & Nguyen, Thi Thu Ha & Nepal, Rabindra & Ngo, Quang-Thanh & Taghizadeh–Hesary, Farhad, 2021. "Asymmetric relationship between green bonds and commodities: Evidence from extreme quantile approach," Finance Research Letters, Elsevier, vol. 43(C).
- Peter Christoffersen & Francis X. Diebold, 2002. "Financial Asset Returns, Market Timing, and Volatility Dynamics," CIRANO Working Papers 2002s-02, CIRANO.
- Chiao Yi Chang & Fu Shuen Shie, 2011. "The Relation Between Relative Order Imbalance and Intraday Futures Returns: An Application of the Quantile Regression Model to Taiwan," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 47(3), pages 69-87, May.
- Davis, Richard A. & Mikosch, Thomas & Cribben, Ivor, 2012. "Towards estimating extremal serial dependence via the bootstrapped extremogram," Journal of Econometrics, Elsevier, vol. 170(1), pages 142-152.
- Uddin, Gazi Salah & Rahman, Md Lutfur & Hedström, Axel & Ahmed, Ali, 2019. "Cross-quantilogram-based correlation and dependence between renewable energy stock and other asset classes," Energy Economics, Elsevier, vol. 80(C), pages 743-759.
- Yongmiao Hong, 2000. "Generalized spectral tests for serial dependence," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 62(3), pages 557-574.
- Zhou, Zhongbao & Jiang, Yong & Liu, Yan & Lin, Ling & Liu, Qing, 2019. "Does international oil volatility have directional predictability for stock returns? Evidence from BRICS countries based on cross-quantilogram analysis," Economic Modelling, Elsevier, vol. 80(C), pages 352-382.
- Todorova, Neda, 2017. "The intraday directional predictability of large Australian stocks: A cross-quantilogram analysis," Economic Modelling, Elsevier, vol. 64(C), pages 221-230.
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