Comments on : Nonparametric Tail Risk, Stock Returns and the Macroeconomy
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- Lorenzo Camponovo & Olivier Scaillet & Fabio Trojani, 2017. "Comment on: Nonparametric Tail Risk, Stock Returns, and the Macroeconomy," Journal of Financial Econometrics, Oxford University Press, vol. 15(3), pages 377-387.
- Lorenzo CAMPONOVO & Olivier SCAILLET & Fabio TROJANI, 2016. "Comments on: Nonparametric Tail Risk, Stock Returns and the Macroeconomy," Swiss Finance Institute Research Paper Series 16-41, Swiss Finance Institute.
References listed on IDEAS
- Bollerslev, Tim & Todorov, Viktor & Xu, Lai, 2015.
"Tail risk premia and return predictability,"
Journal of Financial Economics, Elsevier, vol. 118(1), pages 113-134.
- Tim Bollerslev & Viktor Todorov & Lai Xu, 2014. "Tail Risk Premia and Return Predictability," CREATES Research Papers 2014-49, Department of Economics and Business Economics, Aarhus University.
- Andrea Buraschi & Fabio Trojani & Andrea Vedolin, 2014. "When Uncertainty Blows in the Orchard: Comovement and Equilibrium Volatility Risk Premia," Journal of Finance, American Finance Association, vol. 69(1), pages 101-137, February.
- Caio Almeida & Kym Ardison & René Garcia & Jose Vicente, 2017.
"Nonparametric Tail Risk, Stock Returns, and the Macroeconomy,"
Journal of Financial Econometrics, Oxford University Press, vol. 15(3), pages 333-376.
- René Garcia & Caio Almeida & Kym Ardison & Jose Vicente, 2016. "Nonparametric Tail Risk, Stock Returns and the Macroeconomy," CIRANO Working Papers 2016s-20, CIRANO.
- Paul Schneider & Fabio Trojani, 2015. "Divergence and the Price of Uncertainty," Swiss Finance Institute Research Paper Series 15-60, Swiss Finance Institute.
- Bryan Kelly & Hao Jiang, 2014. "Editor's Choice Tail Risk and Asset Prices," The Review of Financial Studies, Society for Financial Studies, vol. 27(10), pages 2841-2871.
- Gagliardini, Patrick & Trojani, Fabio & Urga, Giovanni, 2005. "Robust GMM tests for structural breaks," Journal of Econometrics, Elsevier, vol. 129(1-2), pages 139-182.
- Andrews, Donald W K, 1993.
"Tests for Parameter Instability and Structural Change with Unknown Change Point,"
Econometrica, Econometric Society, vol. 61(4), pages 821-856, July.
- Donald W.K. Andrews, 1990. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Cowles Foundation Discussion Papers 943, Cowles Foundation for Research in Economics, Yale University.
- Fermanian, Jean-David & Scaillet, Olivier, 2005.
"Sensitivity analysis of VaR and Expected Shortfall for portfolios under netting agreements,"
Journal of Banking & Finance, Elsevier, vol. 29(4), pages 927-958, April.
- Jean-David Fermanian & Olivier Scaillet, 2003. "Sensitivity Analysis of Var and Expected Shortfall for Portfolios under Netting Agreements," Working Papers 2003-33, Center for Research in Economics and Statistics.
- Amit Goyal & Ivo Welch, 2003.
"Predicting the Equity Premium with Dividend Ratios,"
Management Science, INFORMS, vol. 49(5), pages 639-654, May.
- Amit Goyal & Ivo Welch, 1999. "Predicting the Equity Premium with Dividend Ratios," Yale School of Management Working Papers amz2437, Yale School of Management, revised 01 Nov 2002.
- Amit Goyal & Ivo Welch, 2002. "Predicting the Equity Premium With Dividend Ratios," NBER Working Papers 8788, National Bureau of Economic Research, Inc.
- Goncalves, Silvia & White, Halbert, 2004.
"Maximum likelihood and the bootstrap for nonlinear dynamic models,"
Journal of Econometrics, Elsevier, vol. 119(1), pages 199-219, March.
- Goncalves, Silvia & White, Halbert, 2000. "Maximum Likelihood and the Bootstrap for Nonlinear Dynamic Models," University of California at San Diego, Economics Working Paper Series qt1bj657ff, Department of Economics, UC San Diego.
- Silvia Gonçalves & Halbert White, 2002. "Maximum Likelihood and the Bootstrap for Nonlinear Dynamic Models," CIRANO Working Papers 2002s-41, CIRANO.
- Goncalves, Silvia & White, Halbert, 2002. "Maximum Likelihood and the Bootstrap for Nonlinear Dynamic Models," University of California at San Diego, Economics Working Paper Series qt8hx21540, Department of Economics, UC San Diego.
- O. Scaillet, 2004. "Nonparametric Estimation and Sensitivity Analysis of Expected Shortfall," Mathematical Finance, Wiley Blackwell, vol. 14(1), pages 115-129, January.
- Yuichi Kitamura & Taisuke Otsu & Kirill Evdokimov, 2013.
"Robustness, Infinitesimal Neighborhoods, and Moment Restrictions,"
Econometrica, Econometric Society, vol. 81(3), pages 1185-1201, May.
- Yuichi Kitamura & Taisuke Otsu & Kirill Evdokimov, 2009. "Robustness, Infinitesimal Neighborhoods, and Moment Restrictions," Cowles Foundation Discussion Papers 1720, Cowles Foundation for Research in Economics, Yale University.
- 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.
- Hong, H. & Scaillet, O., 2006.
"A fast subsampling method for nonlinear dynamic models,"
Journal of Econometrics, Elsevier, vol. 133(2), pages 557-578, August.
- Han Hong & Olivier Scaillet & Elie Tamer, 2001. "A Fast Subsampling Method for Nonlinear Dynamic Models," Working Papers 2001-39, Center for Research in Economics and Statistics.
- Hong, H. & Scaillet, O. & Tamer, E., 2001. "A fast Subsampling Method for Nonlinear Dynamic Models," Papers 2001.09, Ecole des Hautes Etudes Commerciales, Universite de Geneve-.
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More about this item
Keywords
Tail Risk; Risk Factor; Risk-Neutral Probability; Prediction of Market Returns; Economic Predictability.;All these keywords.
JEL classification:
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
- G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
- G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
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