Do commodity futures have a steering effect on the spot stock market in China? New evidence from volatility forecasting
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DOI: 10.1016/j.irfa.2024.103262
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- Erik Theissen, 2012.
"Price discovery in spot and futures markets: a reconsideration,"
The European Journal of Finance, Taylor & Francis Journals, vol. 18(10), pages 969-987, November.
- Theissen, Erik, 2009. "Price discovery in spot and futures markets: A reconsideration," CFR Working Papers 09-17, University of Cologne, Centre for Financial Research (CFR).
- Theissen, Erik, 2011. "Price discovery in spot and futures markets: A reconsideration," CFR Working Papers 09-17 [rev.], University of Cologne, Centre for Financial Research (CFR).
- Theissen, Erik, 2009. "Price discovery in spot and futures markets: A reconsideration," CFS Working Paper Series 2009/27, Center for Financial Studies (CFS).
- Shiqing Xie & Taiping Mo, 2014. "Index Futures Trading and Stock Market Volatility in China: A Difference‐in‐Difference Approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 34(3), pages 282-297, March.
- Jeremy Berkowitz & James O'Brien, 2002. "How Accurate Are Value‐at‐Risk Models at Commercial Banks?," Journal of Finance, American Finance Association, vol. 57(3), pages 1093-1111, June.
- Avik Sinha & Arshian Sharif & Arnab Adhikari & Ankit Sharma, 2022.
"Dependence structure between Indian financial market and energy commodities: a cross-quantilogram based evidence,"
Annals of Operations Research, Springer, vol. 313(1), pages 257-287, June.
- Sinha, Avik & Sharif, Arshian & Adhikari, Arnab & Sharma, Ankit, 2021. "Dependence Structure between Indian Financial Market and Energy Commodities: A Cross-quantilogram based Evidence," MPRA Paper 111181, University Library of Munich, Germany, revised 2021.
- Sung C. Bae & Taek Ho Kwon & Jong Won Park, 2004. "Futures trading, spot market volatility, and market efficiency: The case of the Korean index futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 24(12), pages 1195-1228, December.
- Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 2003.
"Modeling and Forecasting Realized Volatility,"
Econometrica, Econometric Society, vol. 71(2), pages 579-625, March.
- Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 2001. "Modeling and Forecasting Realized Volatility," Center for Financial Institutions Working Papers 01-01, Wharton School Center for Financial Institutions, University of Pennsylvania.
- Anderson, Torben G. & Bollerslev, Tim & Diebold, Francis X. & Labys, Paul, 2002. "Modeling and Forecasting Realized Volatility," Working Papers 02-12, Duke University, Department of Economics.
- Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 2001. "Modeling and Forecasting Realized Volatility," NBER Working Papers 8160, National Bureau of Economic Research, Inc.
- John Y. Campbell & Samuel B. Thompson, 2008.
"Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average?,"
The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1509-1531, July.
- Campbell, John & Thompson, Samuel P., 2008. "Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average?," Scholarly Articles 2622619, Harvard University Department of Economics.
- Barunik, Jozef & Krehlik, Tomas & Vacha, Lukas, 2016.
"Modeling and forecasting exchange rate volatility in time-frequency domain,"
European Journal of Operational Research, Elsevier, vol. 251(1), pages 329-340.
- Jozef Barunik & Tomas Krehlik & Lukas Vacha, 2012. "Modeling and forecasting exchange rate volatility in time-frequency domain," Papers 1204.1452, arXiv.org, revised Feb 2015.
- Barunik, Jozef & Krehlik, Tomas & Vacha, Lukas, 2016. "Modeling and forecasting exchange rate volatility in time-frequency domain," FinMaP-Working Papers 55, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
- Bollerslev, Tim & Patton, Andrew J. & Quaedvlieg, Rogier, 2016.
"Exploiting the errors: A simple approach for improved volatility forecasting,"
Journal of Econometrics, Elsevier, vol. 192(1), pages 1-18.
- Tim Bollerslev & Andrew J. Patton & Rogier Quaedvlieg, 2015. "Exploiting the Errors: A Simple Approach for Improved Volatility Forecasting," CREATES Research Papers 2015-14, Department of Economics and Business Economics, Aarhus University.
- Suleyman Basak & Anna Pavlova, 2016.
"A Model of Financialization of Commodities,"
Journal of Finance, American Finance Association, vol. 71(4), pages 1511-1556, August.
- Basak, Suleyman & Pavlova, Anna, 2015. "A Model of Financialization of Commodities," CEPR Discussion Papers 10651, C.E.P.R. Discussion Papers.
- Andrew J. Patton & Kevin Sheppard, 2015. "Good Volatility, Bad Volatility: Signed Jumps and The Persistence of Volatility," The Review of Economics and Statistics, MIT Press, vol. 97(3), pages 683-697, July.
- Lubos Pástor & Pietro Veronesi, 2012.
"Uncertainty about Government Policy and Stock Prices,"
Journal of Finance, American Finance Association, vol. 67(4), pages 1219-1264, August.
- Lubos Pastor & Pietro Veronesi, 2010. "Uncertainty about Government Policy and Stock Prices," NBER Working Papers 16128, National Bureau of Economic Research, Inc.
- Veronesi, Pietro & Pástor, Luboš, 2010. "Uncertainty about Government Policy and Stock Prices," CEPR Discussion Papers 7897, C.E.P.R. Discussion Papers.
- Pietro Veronesi & Lubos Pastor, 2011. "Uncertainty about Government Policy and Stock Prices," 2011 Meeting Papers 86, Society for Economic Dynamics.
- Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016.
"Measuring Economic Policy Uncertainty,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
- Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2015. "Measuring Economic Policy Uncertainty," NBER Working Papers 21633, National Bureau of Economic Research, Inc.
- Baker, Scott R. & Bloom, Nicholas & Davis, Steven J., 2015. "Measuring economic policy uncertainty," LSE Research Online Documents on Economics 64986, London School of Economics and Political Science, LSE Library.
- Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2015. "Measuring Economic Policy Uncertainty," CEP Discussion Papers dp1379, Centre for Economic Performance, LSE.
- Davis, Steven & Bloom, Nicholas & Baker, Scott, 2015. "Measuring Economic Policy Uncertainty," CEPR Discussion Papers 10900, C.E.P.R. Discussion Papers.
- Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2015. "Measuring Economic Policy Uncertainty," Economics Working Papers 15111, Hoover Institution, Stanford University.
- repec:dau:papers:123456789/14980 is not listed on IDEAS
- Zhanhui Chen & Ralitsa Petkova, 2012. "Does Idiosyncratic Volatility Proxy for Risk Exposure?," The Review of Financial Studies, Society for Financial Studies, vol. 25(9), pages 2745-2787.
- Liu, Lily Y. & Patton, Andrew J. & Sheppard, Kevin, 2015.
"Does anything beat 5-minute RV? A comparison of realized measures across multiple asset classes,"
Journal of Econometrics, Elsevier, vol. 187(1), pages 293-311.
- Kevin Sheppard & Lily Liu & Andrew J. Patton, 2013. "Does Anything Beat 5-Minute RV? A Comparison of Realized Measures Across Multiple Asset Classes," Economics Series Working Papers 645, University of Oxford, Department of Economics.
- Haiqiang Chen & Qian Han & Yingxing Li & Kai Wu, 2013. "Does Index Futures Trading Reduce Volatility in the Chinese Stock Market? A Panel Data Evaluation Approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(12), pages 1167-1190, December.
- Christoffersen, Peter & Lunde, Asger & Olesen, Kasper V., 2019.
"Factor Structure in Commodity Futures Return and Volatility,"
Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 54(3), pages 1083-1115, June.
- Peter Christoffersen & Asger Lunde & Kasper V. Olesen, 2014. "Factor Structure in Commodity Futures Return and Volatility," CREATES Research Papers 2014-31, Department of Economics and Business Economics, Aarhus University.
- Martin T. Bohl & Jeanne Diesteldorf & Christian A. Salm & Bernd Wilfling, 2016.
"Spot Market Volatility and Futures Trading: The Pitfalls of Using a Dummy Variable Approach,"
Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(1), pages 30-45, January.
- Martin T. Bohl & Jeanne Diesteldorf & Christian A. Salm & Bernd Wilfling, 2014. "Spot Market Volatility and Futures Trading: The Pitfalls of Using a Dummy Variable Approach," CQE Working Papers 3514, Center for Quantitative Economics (CQE), University of Muenster.
- Bardgett, Chris & Gourier, Elise & Leippold, Markus, 2019.
"Inferring volatility dynamics and risk premia from the S&P 500 and VIX markets,"
Journal of Financial Economics, Elsevier, vol. 131(3), pages 593-618.
- Chris Bardgett & Elise Gourier & Markus Leippold, 2013. "Inferring Volatility Dynamics and Risk Premia from the S&P 500 and VIX Markets," Swiss Finance Institute Research Paper Series 13-40, Swiss Finance Institute, revised Dec 2016.
- Chris Bardgett & Elise Gourier & Markus Leippold, 2016. "Inferring Volatility Dynamics and Risk Premia from the S&P 500 and VIX markets," Working Papers 780, Queen Mary University of London, School of Economics and Finance.
- Veronica Guerrieri & Guido Lorenzoni & Ludwig Straub & Iván Werning, 2022.
"Macroeconomic Implications of COVID-19: Can Negative Supply Shocks Cause Demand Shortages?,"
American Economic Review, American Economic Association, vol. 112(5), pages 1437-1474, May.
- Veronica Guerrieri & Guido Lorenzoni & Ludwig Straub & Iván Werning, 2020. "Macroeconomic Implications of COVID-19: Can Negative Supply Shocks Cause Demand Shortages?," NBER Working Papers 26918, National Bureau of Economic Research, Inc.
- Veronica Guerrieri & Guido Lorenzoni & Ludwig Straub & Iván Werning, 2020. "Macroeconomic Implications of COVID-19: Can Negative Supply Shocks Cause Demand Shortages?," Working Papers 2020-35, Becker Friedman Institute for Research In Economics.
- Peter R. Hansen & Asger Lunde & James M. Nason, 2011.
"The Model Confidence Set,"
Econometrica, Econometric Society, vol. 79(2), pages 453-497, March.
- Peter R. Hansen & Asger Lunde & James M. Nason, 2010. "The Model Confidence Set," CREATES Research Papers 2010-76, Department of Economics and Business Economics, Aarhus University.
- repec:wyi:journl:002169 is not listed on IDEAS
- Lu, Fei & Ma, Feng & Guo, Qiang, 2023. "Less is more? New evidence from stock market volatility predictability," International Review of Financial Analysis, Elsevier, vol. 89(C).
- Hong, Yun & Li, Yi, 2020. "Housing prices and investor sentiment dynamics: Evidence from China using a wavelet approach," Finance Research Letters, Elsevier, vol. 35(C).
- Itay Goldstein & Ralph S J Koijen & Holger M Mueller, 2021. "COVID-19 and Its Impact on Financial Markets and the Real Economy [A model of endogenous risk intolerance and LSAPs: Asset prices and aggregate demand in a “COVID-19” shock]," The Review of Financial Studies, Society for Financial Studies, vol. 34(11), pages 5135-5148.
- Wen, Fenghua & Liu, Zhen & Dai, Zhifeng & He, Shaoyi & Liu, Wenhua, 2022. "Multi-scale risk contagion among international oil market, Chinese commodity market and Chinese stock market: A MODWT-Vine quantile regression approach," Energy Economics, Elsevier, vol. 109(C).
- Bohl, Martin T. & Irwin, Scott H. & Pütz, Alexander & Sulewski, Christoph, 2023. "The impact of financialization on the efficiency of commodity futures markets," Journal of Commodity Markets, Elsevier, vol. 31(C).
- Clark, Todd E. & West, Kenneth D., 2007.
"Approximately normal tests for equal predictive accuracy in nested models,"
Journal of Econometrics, Elsevier, vol. 138(1), pages 291-311, May.
- Todd E. Clark & Kenneth D. West, 2005. "Approximately normal tests for equal predictive accuracy in nested models," Research Working Paper RWP 05-05, Federal Reserve Bank of Kansas City.
- Kenneth D. West & Todd Clark, 2006. "Approximately Normal Tests for Equal Predictive Accuracy in Nested Models," NBER Technical Working Papers 0326, National Bureau of Economic Research, Inc.
- Ma, Feng & Liu, Jing & Wahab, M.I.M. & Zhang, Yaojie, 2018. "Forecasting the aggregate oil price volatility in a data-rich environment," Economic Modelling, Elsevier, vol. 72(C), pages 320-332.
- Hui Zou & Trevor Hastie, 2005. "Addendum: Regularization and variable selection via the elastic net," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(5), pages 768-768, November.
- David E. Rapach & Jack K. Strauss & Guofu Zhou, 2010. "Out-of-Sample Equity Premium Prediction: Combination Forecasts and Links to the Real Economy," The Review of Financial Studies, Society for Financial Studies, vol. 23(2), pages 821-862, February.
- Michael D. McKenzie & Timothy J. Brailsford & Robert W. Faff, 2001. "New insights into the impact of the introduction of futures trading on stock price volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 21(3), pages 237-255, March.
- Ordu, Beyza Mina & Oran, Adil & Soytas, Ugur, 2018. "Is food financialized? Yes, but only when liquidity is abundant," Journal of Banking & Finance, Elsevier, vol. 95(C), pages 82-96.
- Yu‐Lun Chen & Yin‐Feng Gau, 2022. "The information effect of order flows in foreign currency futures and spot markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(8), pages 1549-1572, August.
- Wadud, Sania & Gronwald, Marc & Durand, Robert B. & Lee, Seungho, 2023. "Co-movement between commodity and equity markets revisited—An application of the Thick Pen method," International Review of Financial Analysis, Elsevier, vol. 87(C).
- Hui Zou & Trevor Hastie, 2005. "Regularization and variable selection via the elastic net," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(2), pages 301-320, April.
- James H. Stock & Mark W. Watson, 2012. "Generalized Shrinkage Methods for Forecasting Using Many Predictors," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(4), pages 481-493, June.
- Jonathan Brogaard & Andrew Detzel, 2015. "The Asset-Pricing Implications of Government Economic Policy Uncertainty," Management Science, INFORMS, vol. 61(1), pages 3-18, January.
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Keywords
Commodity futures volatility; Stock market volatility; Emerging market; Economic policy uncertainty; Investor sentiment;All these keywords.
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