Comments on : Nonparametric Tail Risk, Stock Returns and the Macroeconomy
Author
Abstract
Suggested Citation
Download full text from publisher
Other versions of this item:
- 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.
- Donald W. K. Andrews, 2003.
"Tests for Parameter Instability and Structural Change with Unknown Change Point: A Corrigendum,"
Econometrica, Econometric Society, vol. 71(1), pages 395-397, January.
- 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.
- 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-.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Philippe Bernard & Najat El Mekkaoui De Freitas & Bertrand B. Maillet, 2022.
"A financial fraud detection indicator for investors: an IDeA,"
Annals of Operations Research, Springer, vol. 313(2), pages 809-832, June.
- Philippe Bernard & Najat El Mekkaoui de Freitas & Bertrand Maillet, 2022. "A Financial Fraud Detection Indicator for Investors: An IDeA," Post-Print hal-02312401, HAL.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Lorenzo Camponovo & O. Scaillet & Fabio Trojani, 2013.
"Predictability Hidden by Anomalous Observations,"
Swiss Finance Institute Research Paper Series
13-05, Swiss Finance Institute.
- Lorenzo Camponovo & Olivier Scaillet & Fabio Trojani, 2016. "Predictability Hidden by Anomalous Observations," Papers 1612.05072, arXiv.org.
- Lorenzo Camponovo & Olivier Scaillet & Fabio Trojani, 2018. "Predictability Hidden by Anomalous Observations," School of Economics Discussion Papers 0418, School of Economics, University of Surrey.
- Jondeau, Eric & Zhang, Qunzi & Zhu, Xiaoneng, 2019.
"Average skewness matters,"
Journal of Financial Economics, Elsevier, vol. 134(1), pages 29-47.
- Eric JONDEAU & Qunzi ZHANG, 2015. "Average Skewness Matters!," Swiss Finance Institute Research Paper Series 15-47, Swiss Finance Institute.
- Baetje, Fabian & Menkhoff, Lukas, 2016.
"Equity premium prediction: Are economic and technical indicators unstable?,"
International Journal of Forecasting, Elsevier, vol. 32(4), pages 1193-1207.
- Baetje, Fabian & Menkhoff, Lukas, 2015. "Equity premium prediction: Are economic and technical indicators instable?," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113079, Verein für Socialpolitik / German Economic Association.
- Baetje, Fabian & Menkhoff, Lukas, 2015. "Equity premium prediction: Are economic and technical indicators instable?," Kiel Working Papers 1987, Kiel Institute for the World Economy (IfW Kiel).
- Fabian Baetje & Lukas Menkhoff, 2016. "Equity Premium Prediction: Are Economic and Technical Indicators Unstable?," Discussion Papers of DIW Berlin 1552, DIW Berlin, German Institute for Economic Research.
- Schneider, Paul, 2019. "An anatomy of the market return," Journal of Financial Economics, Elsevier, vol. 132(2), pages 325-350.
- Freire, Gustavo, 2021. "Tail risk and investors’ concerns: Evidence from Brazil," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
- González-Rivera, Gloria & Sun, Yingying, 2017.
"Density forecast evaluation in unstable environments,"
International Journal of Forecasting, Elsevier, vol. 33(2), pages 416-432.
- Gloria Gonzalez-Rivera & Yingying Sun, 2014. "Density Forecast Evaluation in Unstable Environments," Working Papers 201428, University of California at Riverside, Department of Economics.
- Gloria Gonzalez-Rivera & Yingying Sun, 2016. "Density Forecast Evaluation in Unstable Environments," Working Papers 201606, University of California at Riverside, Department of Economics.
- José Afonso Faias & Juan Arismendi Zambrano, 2022. "Equity Risk Premium Predictability from Cross-Sectoral Downturns [International asset allocation with regime shifts]," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 12(3), pages 808-842.
- Marilena Furno, 2011. "Goodness of Fit and Misspecification in Quantile Regressions," Journal of Educational and Behavioral Statistics, , vol. 36(1), pages 105-131, February.
- P. Byrne, Joseph & Cao, Shuo & Korobilis, Dimitris, 2015.
"Term Structure Dynamics, Macro-Finance Factors and Model Uncertainty,"
SIRE Discussion Papers
2015-71, Scottish Institute for Research in Economics (SIRE).
- Byrne, JP & Cao, S & Korobilis, D, 2016. "Term Structure Dynamics, Macro-Finance Factors and Model Uncertainty," Essex Finance Centre Working Papers 18195, University of Essex, Essex Business School.
- Joseph P. Byrne & Shuo Cao. & Dimitris Korobilis., 2015. "Term Structure Dynamics, Macro-Finance Factors and Model Uncertainty," Working Papers 2015_08, Business School - Economics, University of Glasgow.
- Byrne, Joseph & Cao, Shuo & Korobilis, Dimitris, 2015. "Term Structure Dynamics, Macro-Finance Factors and Model Uncertainty," MPRA Paper 63844, University Library of Munich, Germany.
- Rossi, Barbara, 2013.
"Advances in Forecasting under Instability,"
Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1203-1324,
Elsevier.
- Barbara Rossi, 2011. "Advances in Forecasting Under Instability," Working Papers 11-20, Duke University, Department of Economics.
- Narayan, Paresh Kumar & Narayan, Seema & Sharma, Susan Sunila, 2013.
"An analysis of commodity markets: What gain for investors?,"
Journal of Banking & Finance, Elsevier, vol. 37(10), pages 3878-3889.
- Narayan, Paresh Kumar & Narayan, Seema & Sharma, Susan Sunila, 2013. "An analysis of commodity markets: what gain for investors?," Working Papers fe_2013_02, Deakin University, Department of Economics.
- Ryan Compton & Syeed Khan, 2010. "An examination of the stability of short-run Canadian stock predictability," Economics Bulletin, AccessEcon, vol. 30(2), pages 1293-1306.
- Andreou, Panayiotis C. & Kagkadis, Anastasios & Philip, Dennis & Taamouti, Abderrahim, 2019. "The information content of forward moments," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 527-541.
- , & Stein, Tobias, 2021.
"Equity premium predictability over the business cycle,"
CEPR Discussion Papers
16357, C.E.P.R. Discussion Papers.
- Mönch, Emanuel & Stein, Tobias, 2021. "Equity premium predictability over the business cycle," Discussion Papers 25/2021, Deutsche Bundesbank.
- Demetrescu, Matei & Rodrigues, Paulo M.M., 2022.
"Residual-augmented IVX predictive regression,"
Journal of Econometrics, Elsevier, vol. 227(2), pages 429-460.
- Paulo M.M. Rodrigues & Matei Demetrescu, 2016. "Residual-augmented IVX predictive regression," Working Papers w201605, Banco de Portugal, Economics and Research Department.
- Hollstein, Fabian & Nguyen, Duc Binh Benno & Prokopczuk, Marcel & Wese Simen, Chardin, 2019.
"International tail risk and World Fear,"
Journal of International Money and Finance, Elsevier, vol. 93(C), pages 244-259.
- Nguyen, Duc Binh Benno & Prokopczuk, Marcel & Wese Simen, Chardin, 2017. "International Tail Risk and World Fear," Hannover Economic Papers (HEP) dp-620, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
- Francine Gresnigt & Erik Kole & Philip Hans Franses, 2017.
"Specification Testing in Hawkes Models,"
Journal of Financial Econometrics, Oxford University Press, vol. 15(1), pages 139-171.
- Francine Gresnigt & Erik Kole & Philip Hans Franses, 2015. "Specification Testing in Hawkes Models," Tinbergen Institute Discussion Papers 15-086/III, Tinbergen Institute.
- Avdulaj, Krenar & Barunik, Jozef, 2015.
"Are benefits from oil–stocks diversification gone? New evidence from a dynamic copula and high frequency data,"
Energy Economics, Elsevier, vol. 51(C), pages 31-44.
- Krenar Avdulaj & Jozef Barunik, 2013. "Are benefits from oil - stocks diversification gone? New evidence from a dynamic copula and high frequency data," Papers 1307.5981, arXiv.org, revised Feb 2015.
- Avdulaj, Krenar & Barunik, Jozef, 2015. "Are benefits from oil-stocks diversification gone? New evidence from a dynamic copula and high frequency data," FinMaP-Working Papers 32, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
- Marilena Furno, 2012. "Tests for structural break in quantile regressions," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 96(4), pages 493-515, October.
- Andrea Fracasso & Giuseppe Vittucci Marzetti, 2014.
"International R&D Spillovers, Absorptive Capacity and Relative Backwardness: A Panel Smooth Transition Regression Model,"
International Economic Journal, Taylor & Francis Journals, vol. 28(1), pages 137-160, March.
- Andrea Fracasso & Giuseppe Vittucci Marzetti, 2012. "International R&D spillovers, absorptive capacity and relative backwardness: a panel smooth transition regression model," Department of Economics Working Papers 1203, Department of Economics, University of Trento, Italia.
More about this item
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
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gnv:wpgsem:unige:84999. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Jean-Blaise Claivaz (email available below). General contact details of provider: https://edirc.repec.org/data/depgech.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.