The predictive effect of risk aversion on oil returns under different market conditions

Adams, 2015, Financialization in commodity markets: a passing trend or the new normal?, J. Bank. Financ., 60, 93, 10.1016/j.jbankfin.2015.07.008 Apergis, 2022, US partisan conflict shocks and international stock market returns, Empir. Econ., 1 Apergis, 2018, Do energy prices affect US investor sentiment?, J. Behav. Financ., 19, 125, 10.1080/15427560.2017.1373354 Apergis, 2021, US partisan conflict uncertainty and oil prices, Energy Policy, 150, 10.1016/j.enpol.2020.112118 Atanasov, 2021, Unemployment and aggregate stock returns, J. Bank. Financ., 129, 10.1016/j.jbankfin.2021.106159 Azzimonti, 2018, Partisan conflict and private investment, J. Monet. Econ., 93, 114, 10.1016/j.jmoneco.2017.10.007 Azzimonti, 2021, Partisan conflict, news, and investors’ expectations, J. Money Credit Bank., 53, 971, 10.1111/jmcb.12810 Badshah, 2018, Asymmetric linkages among the fear index and emerging market volatility indices, Emerg. Mark. Rev., 37, 17, 10.1016/j.ememar.2018.03.002 Baker, 2016, Measuring economic policy uncertainty, Q. J. Econ., 131, 1593, 10.1093/qje/qjw024 Baker, 2019, Policy news and equity market volatility Basak, 2016, A model of financialization of commodities, J. Financ., 71, 1511, 10.1111/jofi.12408 Baur, 2013, The structure and degree of dependence: a quantile regression approach, J. Bank. Financ., 37, 786, 10.1016/j.jbankfin.2012.10.015 Bekaert, 2014, The VIX, the variance premium and stock market volatility, J. Econ., 183, 181, 10.1016/j.jeconom.2014.05.008 Bekaert, 2013, Risk, uncertainty and monetary policy, J. Monet. Econ., 60, 771, 10.1016/j.jmoneco.2013.06.003 Bekaert, 2022, The time variation in risk appetite and uncertainty, Manag. Sci., 68, 3975, 10.1287/mnsc.2021.4068 Bekiros, 2017, The asymmetric relationship between returns and implied volatility: evidence from global stock markets, J. Financ. Stab., 30, 156, 10.1016/j.jfs.2017.05.006 Beyer, 2023, The calming effects of conflict: the impact of partisan conflict on market volatility, Int. Rev. Financ. Anal., 85, 10.1016/j.irfa.2022.102462 Bloom, 2009, The impact of uncertainty shocks, Econometrica, 77, 623, 10.3982/ECTA6248 Bloom, 2014, Fluctuations in uncertainty, J. Econ. Perspect., 28, 153, 10.1257/jep.28.2.153 Bouoiyour, 2019, What are the categories of geopolitical risks that could drive oil prices higher? Acts or threats?, Energy Econ., 84, 10.1016/j.eneco.2019.104523 Cai, 2019, Time-varied causality between US partisan conflict shock and crude oil return, Energy Econ., 84, 10.1016/j.eneco.2019.104512 Caldara, 2022, Measuring geopolitical risk, Am. Econ. Rev., 112, 1194, 10.1257/aer.20191823 Çepni, 2020, Time-varying risk aversion and the predictability of bond premia, Financ. Res. Lett., 34, 10.1016/j.frl.2019.07.014 Chatziantoniou, 2021, A closer look into the global determinants of oil price volatility, Energy Econ., 95, 10.1016/j.eneco.2020.105092 Chen, 2020, Empirical investigation of changes in policy uncertainty on stock returns—evidence from China’s market, Res. Int. Bus. Financ., 53, 10.1016/j.ribaf.2020.101183 Chen, 2015, The extreme-value dependence between the crude oil price and Chinese stock markets, Int. Rev. Econ. Financ., 39, 121, 10.1016/j.iref.2015.03.007 Cheng, 2016, Does US partisan conflict matter for the euro area?, Econ. Lett., 138, 64, 10.1016/j.econlet.2015.11.030 Christoffersen, 2018, Oil volatility risk and expected stock returns, J. Bank. Financ., 95, 5, 10.1016/j.jbankfin.2017.07.004 Dai, 2021, Forecasting stock market volatility: can the risk aversion measure exert an important role?, N. Am. J. Econ. Finance, 58, 10.1016/j.najef.2021.101510 Demirer, 2018, Global risk aversion and emerging market return comovements, Econ. Lett., 173, 118, 10.1016/j.econlet.2018.09.027 Demirer, 2019, Time-varying risk aversion and realized gold volatility, N. Am. J. Econ. Finance, 50, 10.1016/j.najef.2019.101048 Demirer, 2022, Risk aversion and the predictability of crude oil market volatility: a forecasting experiment with random forests, J. Oper. Res. Soc., 73, 1755, 10.1080/01605682.2021.1936668 Demirer, 2022, Time-varying risk aversion and currency excess returns, Res. Int. Bus. Financ., 59, 10.1016/j.ribaf.2021.101555 Driesprong, 2008, Striking oil: another puzzle?, J. Financ. Econ., 89, 307, 10.1016/j.jfineco.2007.07.008 Dutta, 2021, News-based equity market uncertainty and crude oil volatility, Energy, 222, 10.1016/j.energy.2021.119930 Galvao, 2009, Unit root quantile autoregression testing using covariates, J. Econ., 152, 165, 10.1016/j.jeconom.2009.01.007 Guo, 2022, Nonlinear effects of climate policy uncertainty and financial speculation on the global prices of oil and gas, Int. Rev. Financ. Anal., 83, 10.1016/j.irfa.2022.102286 Gupta, 2018, Does partisan conflict predict a reduction in US stock market (realized) volatility? Evidence from a quantile-on-quantile regression model, N. Am. J. Econ. Finance, 43, 87, 10.1016/j.najef.2017.10.006 Hong, 2007, Do industries lead stock markets?, J. Financ. Econ., 83, 367, 10.1016/j.jfineco.2005.09.010 Hong, 2022, Dynamic asymmetric impact of equity market uncertainty on energy markets: a time-varying causality analysis, Renew. Energy, 196, 535, 10.1016/j.renene.2022.07.027 Huber, 2021, Market shocks and professionals’ investment behavior–evidence from the covid-19 crash, J. Bank. Financ., 133, 10.1016/j.jbankfin.2021.106247 Ji, 2018, Uncertainties and extreme risk spillover in the energy markets: a time-varying copula-based CoVaR approach, Energy Econ., 76, 115, 10.1016/j.eneco.2018.10.010 Jiang, 2020, Does the price of strategic commodities respond to US partisan conflict?, Res. Policy, 66 Kilian, 2009, Not all oil price shocks are alike: disentangling demand and supply shocks in the crude oil market, Am. Econ. Rev., 99, 1053, 10.1257/aer.99.3.1053 Kilian, 2009, The impact of oil price shocks on the US stock market, Int. Econ. Rev., 50, 1267, 10.1111/j.1468-2354.2009.00568.x Koenker, 1978, Regression quantiles, Econometrica: J. Econ. Soc., 33, 10.2307/1913643 Lardic, 2008, Oil prices and economic activity: an asymmetric cointegration approach, Energy Econ., 30, 847, 10.1016/j.eneco.2006.10.010 Li, 2022, Which uncertainty is powerful to forecast crude oil market volatility? New evidence, Int. J. Financ. Econ., 27, 4279, 10.1002/ijfe.2371 Liang, 2020, Uncertainty and crude oil market volatility: new evidence, Appl. Econ., 52, 2945, 10.1080/00036846.2019.1696943 Liu, 2021, The impact of geopolitical uncertainty on energy volatility, Int. Rev. Financ. Anal., 75, 10.1016/j.irfa.2021.101743 Lu, 2016, Cross-asset return predictability: carry trades, stocks and commodities, J. Int. Money Financ., 64, 62, 10.1016/j.jimonfin.2016.02.013 Ma, 2019, Oil financialization and volatility forecast: evidence from multidimensional predictors, J. Forecast., 38, 564, 10.1002/for.2577 Mei, 2020, Geopolitical risk uncertainty and oil future volatility: evidence from MIDAS models, Energy Econ., 86, 10.1016/j.eneco.2019.104624 Qadan, 2020, Risk appetite and oil prices, Energy Econ., 85, 10.1016/j.eneco.2019.104595 Qadan, 2019, Idiosyncratic volatility, the VIX and stock returns, N. Am. J. Econ. Finance, 47, 431, 10.1016/j.najef.2018.06.003 Rehman, 2019, Determining the predictive power between cryptocurrencies and real time commodity futures: evidence from quantile causality tests, Res. Policy, 61, 603, 10.1016/j.resourpol.2018.08.015 Salvador, 2014, Re-examining the risk–return relationship in Europe: linear or non-linear trade-off?, J. Empir. Financ., 28, 60, 10.1016/j.jempfin.2014.05.004 Sari, 2011, Do global risk perceptions influence world oil prices?, Energy Econ., 33, 515, 10.1016/j.eneco.2010.12.006 Sharma, 2019, The diminishing hedging role of crude oil: evidence from time varying financialization, J. Multinatl. Financ. Manag., 52 Silvennoinen, 2013, Financialization, crisis and commodity correlation dynamics, J. Int. Financ. Mark. Inst. Money, 24, 42, 10.1016/j.intfin.2012.11.007 Su, 2020, Factors driving oil price——from the perspective of United States, Energy, 197, 10.1016/j.energy.2020.117219 Wang, 2019, Oil price increases and the predictability of equity premium, J. Bank. Financ., 102, 43, 10.1016/j.jbankfin.2019.03.009 Umar, 2023, The relationship between global risk aversion and returns from safe-haven assets, Finance Res. Lett., 51, 103444, 10.1016/j.frl.2022.103444 Wang, 2022, Uncertainty and oil volatility: evidence from shrinkage method, Res. Policy, 75 Wei, 2017, Which determinant is the most informative in forecasting crude oil market volatility: fundamental, speculation, or uncertainty?, Energy Econ., 68, 141, 10.1016/j.eneco.2017.09.016 Wen, 2018, Interaction between oil and US dollar exchange rate: nonlinear causality, time-varying influence and structural breaks in volatility, Appl. Econ., 50, 319, 10.1080/00036846.2017.1321838 Wen, 2019, Forecasting realized volatility of crude oil futures with equity market uncertainty, Appl. Econ., 51, 6411, 10.1080/00036846.2019.1619023 Working, 1960, 1, 185 Wu, 2022, Time-varying risk aversion and renminbi exchange rate volatility: evidence from CARR-MIDAS model, N. Am. J. Econ. Finance, 61, 10.1016/j.najef.2022.101703 Xiao, 2022, Good oil volatility, bad oil volatility, and stock return predictability, Int. Rev. Econ. Financ., 80, 953, 10.1016/j.iref.2022.03.013 Xiao, 2022, Macroeconomic uncertainty, speculation, and energy futures returns: evidence from a quantile regression, Energy, 241, 10.1016/j.energy.2021.122517 Xiao, 2018, Asymmetric impacts of oil price uncertainty on Chinese stock returns under different market conditions: evidence from oil volatility index, Energy Econ., 74, 777, 10.1016/j.eneco.2018.07.026 Xiao, 2019, Impacts of oil implied volatility shocks on stock implied volatility in China: empirical evidence from a quantile regression approach, Energy Econ., 80, 297, 10.1016/j.eneco.2019.01.016 Zhang, 2020, The impact of US economic policy uncertainty on WTI crude oil returns in different time and frequency domains, Int. Rev. Econ. Financ., 69, 750, 10.1016/j.iref.2020.04.001 Zhang, 2022, The impact of institutional analyst forecast divergence on crude oil market: evidence from the mixed frequency models, Int. Rev. Financ. Anal., 84, 10.1016/j.irfa.2022.102418 Zhang, 2023, Volatility forecasting of crude oil market: which structural change based GARCH models have better performance?, Energy J., 44, 10.5547/01956574.44.1.yzha Zhang, 2019, Economic policy uncertainty in the US and China and their impact on the global markets, Econ. Model., 79, 47, 10.1016/j.econmod.2018.09.028 Zhang, 2022, Geopolitical risk trends and crude oil price predictability, Energy, 124824 Zhang, 2023, Forecasting crude oil market volatility using variable selection and common factor, Int. J. Forecast., 39, 486, 10.1016/j.ijforecast.2021.12.013 Zhu, 2016, The heterogeneity dependence between crude oil price changes and industry stock market returns in China: evidence from a quantile regression approach, Energy Econ., 55, 30, 10.1016/j.eneco.2015.12.027