Reexamining financial and economic predictability with new estimators of realized variance and variance risk premium
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Martin Lettau & Stijn Van Nieuwerburgh, 2008.
"Reconciling the Return Predictability Evidence,"
Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1607-1652, July.
- Martin Lettau & Stijn Van Nieuwerburgh, 2006. "Reconciling the Return Predictability Evidence," NBER Working Papers 12109, National Bureau of Economic Research, Inc.
- Martin Lettau & Stijn Van Nieuwerburgh, 2006. "Reconciling the Return Predictability Evidence," 2006 Meeting Papers 29, Society for Economic Dynamics.
- Ivo Welch & Amit Goyal, 2008.
"A Comprehensive Look at The Empirical Performance of Equity Premium Prediction,"
Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1455-1508, July.
- Amit Goyal & Ivo Welch, 2004. "A Comprehensive Look at the Empirical Performance of Equity Premium Prediction," Yale School of Management Working Papers amz2412, Yale School of Management, revised 01 Jan 2006.
- Amit Goyal & Ivo Welch & Athanasse Zafirov, 2021. "A Comprehensive Look at the Empirical Performance of Equity Premium Prediction II," Swiss Finance Institute Research Paper Series 21-85, Swiss Finance Institute.
- Amit Goval & Ivo Welch, 2004. "A Comprehensive Look at the Empirical Performance of Equity Premium Prediction," NBER Working Papers 10483, National Bureau of Economic Research, Inc.
- Hamilton, James D., 1996. "This is what happened to the oil price-macroeconomy relationship," Journal of Monetary Economics, Elsevier, vol. 38(2), pages 215-220, October.
- Ke-Li Xu & Peter C. B. Phillips, 2011.
"Tilted Nonparametric Estimation of Volatility Functions With Empirical Applications,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(4), pages 518-528, October.
- Xu, Ke-Li & Phillips, Peter C. B., 2011. "Tilted Nonparametric Estimation of Volatility Functions With Empirical Applications," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(4), pages 518-528.
- Campbell, John Y. & Hentschel, Ludger, 1992.
"No news is good news *1: An asymmetric model of changing volatility in stock returns,"
Journal of Financial Economics, Elsevier, vol. 31(3), pages 281-318, June.
- John Y. Campbell & Ludger Hentschel, 1991. "No News is Good News: An Asymmetric Model of Changing Volatility in Stock Returns," NBER Working Papers 3742, National Bureau of Economic Research, Inc.
- Hentschel, Ludger & Campbell, John, 1992. "No News is Good News: An Asymmetric Model of Changing Volatility in Stock Returns," Scholarly Articles 3220232, Harvard University Department of Economics.
- R?diger Bachmann & Steffen Elstner & Eric R. Sims, 2013.
"Uncertainty and Economic Activity: Evidence from Business Survey Data,"
American Economic Journal: Macroeconomics, American Economic Association, vol. 5(2), pages 217-249, April.
- Steffen Elstner & Eric Sims & Ruediger Bachmann, 2010. "Uncertainty and Economic Activity: Evidence from Business Survey Data," 2010 Meeting Papers 614, Society for Economic Dynamics.
- Eric R. Sims, 2012. "Uncertainty and Economic Activity: Evidence from Business Survey Data," Working Papers 014, University of Notre Dame, Department of Economics, revised Jun 2012.
- Ruediger Bachmann & Steffen Elstner & Eric R. Sims, 2010. "Uncertainty and Economic Activity: Evidence from Business Survey Data," NBER Working Papers 16143, 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?,"
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.
- Tim Bollerslev & George Tauchen & Hao Zhou, 2009.
"Expected Stock Returns and Variance Risk Premia,"
Review of Financial Studies, Society for Financial Studies, vol. 22(11), pages 4463-4492, November.
- Tim Bollerslev & Hao Zhou, 2006. "Expected stock returns and variance risk premia," Finance and Economics Discussion Series 2007-11, Board of Governors of the Federal Reserve System (U.S.).
- Tim Bollerslev & Tzuo Hao & George Tauchen, 2008. "Expected Stock Returns and Variance Risk Premia," CREATES Research Papers 2008-48, Department of Economics and Business Economics, Aarhus University.
- Tim Bollerslev & Hao Zhou, 2007. "Expected Stock Returns and Variance Risk Premia," CREATES Research Papers 2007-17, Department of Economics and Business Economics, Aarhus University.
- Christie, Andrew A., 1982. "The stochastic behavior of common stock variances : Value, leverage and interest rate effects," Journal of Financial Economics, Elsevier, vol. 10(4), pages 407-432, December.
- Lior Menzly & Tano Santos & Pietro Veronesi, 2004. "Understanding Predictability," Journal of Political Economy, University of Chicago Press, vol. 112(1), pages 1-47, February.
- 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.
- Hamilton, James D., 2003.
"What is an oil shock?,"
Journal of Econometrics, Elsevier, vol. 113(2), pages 363-398, April.
- James D. Hamilton, 2000. "What is an Oil Shock?," NBER Working Papers 7755, National Bureau of Economic Research, Inc.
- 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.
- Bollerslev, Tim & Gibson, Michael & Zhou, Hao, 2011.
"Dynamic estimation of volatility risk premia and investor risk aversion from option-implied and realized volatilities,"
Journal of Econometrics, Elsevier, vol. 160(1), pages 235-245, January.
- Tim Bollerslev & Michael S. Gibson & Hao Zhou, 2005. "Dynamic estimation of volatility risk premia and investor risk aversion from option-implied and realized volatilities," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
- Tim Bollerslev & Michael S. Gibson & Hao Zhou, 2004. "Dynamic estimation of volatility risk premia and investor risk aversion from option-implied and realized volatilities," Finance and Economics Discussion Series 2004-56, Board of Governors of the Federal Reserve System (U.S.).
- Tim Bollerslev & Michael Gibson & Hao Zhou, 2007. "Dynamic Estimation of Volatility Risk Premia and Investor Risk Aversion from Option-Implied and Realized Volatilities," CREATES Research Papers 2007-16, Department of Economics and Business Economics, Aarhus University.
- Andrew Ang & Geert Bekaert, 2007.
"Stock Return Predictability: Is it There?,"
Review of Financial Studies, Society for Financial Studies, vol. 20(3), pages 651-707.
- Andrew Ang & Geert Bekaert, 2001. "Stock Return Predictability: Is it There?," NBER Working Papers 8207, National Bureau of Economic Research, Inc.
- Nicholas Bloom, 2009.
"The Impact of Uncertainty Shocks,"
Econometrica, Econometric Society, vol. 77(3), pages 623-685, May.
- Nicholas Bloom, 2007. "The Impact of Uncertainty Shocks," NBER Working Papers 13385, National Bureau of Economic Research, Inc.
- Bryan Kelly & Hao Jiang, 2014. "Editor's Choice Tail Risk and Asset Prices," Review of Financial Studies, Society for Financial Studies, vol. 27(10), pages 2841-2871.
- Bollerslev, Tim & Marrone, James & Xu, Lai & Zhou, Hao, 2014.
"Stock Return Predictability and Variance Risk Premia: Statistical Inference and International Evidence,"
Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(3), pages 633-661, June.
- Tim Bollerslev & James Marrone & Lai Xu & Hao Zhou, 2011. "Stock return predictability and variance risk premia: statistical inference and international evidence," Finance and Economics Discussion Series 2011-52, Board of Governors of the Federal Reserve System (U.S.).
- Dennis Kristensen, 2012.
"Non‐parametric detection and estimation of structural change,"
Econometrics Journal, Royal Economic Society, vol. 15(3), pages 420-461, October.
- Dennis Kristensen, 2011. "Nonparametric Detection and Estimation of Structural Change," CREATES Research Papers 2011-13, Department of Economics and Business Economics, Aarhus University.
- Phillips, Peter C.B. & Li, Degui & Gao, Jiti, 2017.
"Estimating smooth structural change in cointegration models,"
Journal of Econometrics, Elsevier, vol. 196(1), pages 180-195.
- Peter C. B. Phillips & Degui Li & Jiti Gao, 2013. "Estimating Smooth Structural Change in Cointegration Models," Monash Econometrics and Business Statistics Working Papers 22/13, Monash University, Department of Econometrics and Business Statistics.
- Peter C.B. Phillips & Degui Li & Jiti Gao, 2013. "Estimating Smooth Structural Change in Cointegration Models," Cowles Foundation Discussion Papers 1910, Cowles Foundation for Research in Economics, Yale University.
- Henderson, Daniel J. & Kumbhakar, Subal C. & Li, Qi & Parmeter, Christopher F., 2015. "Smooth coefficient estimation of a seemingly unrelated regression," Journal of Econometrics, Elsevier, vol. 189(1), pages 148-162.
- Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2017.
"Macroeconomic Factors Strike Back: A Bayesian Change-Point Model of Time-Varying Risk Exposures and Premia in the U.S. Cross-Section,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(1), pages 110-129, January.
- Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2013. "Macroeconomic factors strike back: A Bayesian change-point model of time-varying risk exposures and premia in the U.S. cross-section," Working Paper 2013/19, Norges Bank.
- Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2015. "Macroeconomic Factors Strike Back: A Bayesian Change-Point Model of Time-Varying Risk Exposures and Premia in the U.S. Cross-Section," Working Papers 550, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
- Isabel Casas & Eva Ferreira & Susan Orbe, 2021.
"Time-Varying Coefficient Estimation in SURE Models. Application to Portfolio Management,"
The Journal of Financial Econometrics, Society for Financial Econometrics, vol. 19(4), pages 707-745.
- Isabel Casas & Eva Ferreira & Susan Orbe, 2017. "Time-varying coefficient estimation in SURE models. Application to portfolio management," CREATES Research Papers 2017-33, Department of Economics and Business Economics, Aarhus University.
- Bollerslev, Tim & Xu, Lai & Zhou, Hao, 2015.
"Stock return and cash flow predictability: The role of volatility risk,"
Journal of Econometrics, Elsevier, vol. 187(2), pages 458-471.
- Tim Bollerslev & Lai Xu & Hao Zhou, 2012. "Stock Return and Cash Flow Predictability: The Role of Volatility Risk," CREATES Research Papers 2012-51, Department of Economics and Business Economics, Aarhus University.
- Orbe, Susan & Ferreira, Eva & Rodriguez-Poo, Juan, 2005.
"Nonparametric estimation of time varying parameters under shape restrictions,"
Journal of Econometrics, Elsevier, vol. 126(1), pages 53-77, May.
- Orbe Mandaluniz, Susan & Ferreira García, María Eva & Rodríguez Poo, Juan M., 2001. "Nonparametric estimation of time varying parameters under shape restrictions," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
- Newey, Whitney & West, Kenneth, 2014.
"A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix,"
Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
- Newey, Whitney K & West, Kenneth D, 1987. "A Simple, Positive Semi-definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix," Econometrica, Econometric Society, vol. 55(3), pages 703-708, May.
- Whitney K. Newey & Kenneth D. West, 1986. "A Simple, Positive Semi-Definite, Heteroskedasticity and AutocorrelationConsistent Covariance Matrix," NBER Technical Working Papers 0055, National Bureau of Economic Research, Inc.
- Bekaert, Geert & Hoerova, Marie, 2014.
"The VIX, the variance premium and stock market volatility,"
Journal of Econometrics, Elsevier, vol. 183(2), pages 181-192.
- Geert Bekaert & Marie Hoerova, 2013. "The VIX, the Variance Premium and Stock Market Volatility," NBER Working Papers 18995, National Bureau of Economic Research, Inc.
- Hoerova, Marie & Bekaert, Geert, 2014. "The VIX, the variance premium and stock market volatility," Working Paper Series 1675, European Central Bank.
- Patton, Andrew J., 2011.
"Volatility forecast comparison using imperfect volatility proxies,"
Journal of Econometrics, Elsevier, vol. 160(1), pages 246-256, January.
- Andrew Patton, 2006. "Volatility Forecast Comparison using Imperfect Volatility Proxies," Research Paper Series 175, Quantitative Finance Research Centre, University of Technology, Sydney.
- John Y. Campbell, Robert J. Shiller, 1988.
"The Dividend-Price Ratio and Expectations of Future Dividends and Discount Factors,"
Review of Financial Studies, Society for Financial Studies, vol. 1(3), pages 195-228.
- John Y. Campbell & Robert J. Shiller, 1986. "The Dividend-Price Ratio and Expectations of Future Dividends and Discount Factors," NBER Working Papers 2100, National Bureau of Economic Research, Inc.
- Robert J. Shiller & John Y. Campbell, 1986. "The Dividend-Price Ratio and Expectations of Future Dividends and Discount Factors," Cowles Foundation Discussion Papers 812, Cowles Foundation for Research in Economics, Yale University.
- Ramos, Sofia B. & Veiga, Helena, 2011.
"Risk factors in oil and gas industry returns: International evidence,"
Energy Economics, Elsevier, vol. 33(3), pages 525-542, May.
- Ramos, Sofia B. & Veiga, Helena, 2009. "Risk factors in oil and gas industry returns: international evidence," DES - Working Papers. Statistics and Econometrics. WS ws096920, Universidad Carlos III de Madrid. Departamento de Estadística.
- Tim Bollerslev & Julia Litvinova & George Tauchen, 2006. "Leverage and Volatility Feedback Effects in High-Frequency Data," The Journal of Financial Econometrics, Society for Financial Econometrics, vol. 4(3), pages 353-384.
- Cai, Zongwu, 2007. "Trending time-varying coefficient time series models with serially correlated errors," Journal of Econometrics, Elsevier, vol. 136(1), pages 163-188, January.
- Das, M., 2005. "Instrumental variables estimators of nonparametric models with discrete endogenous regressors," Journal of Econometrics, Elsevier, vol. 124(2), pages 335-361, February.
- Fulvio Corsi, 2009. "A Simple Approximate Long-Memory Model of Realized Volatility," The Journal of Financial Econometrics, Society for Financial Econometrics, vol. 7(2), pages 174-196, Spring.
- Bossaerts, Peter & Hillion, Pierre, 1999. "Implementing Statistical Criteria to Select Return Forecasting Models: What Do We Learn?," Review of Financial Studies, Society for Financial Studies, vol. 12(2), pages 405-428.
- Itamar Drechsler & Amir Yaron, 2011. "What's Vol Got to Do with It," Review of Financial Studies, Society for Financial Studies, vol. 24(1), pages 1-45.
- Cai, Zongwu & Li, Qi & Park, Joon Y., 2009. "Functional-coefficient models for nonstationary time series data," Journal of Econometrics, Elsevier, vol. 148(2), pages 101-113, February.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Yarovaya, Larisa & Matkovskyy, Roman & Jalan, Akanksha, 2021.
"The effects of a “black swan” event (COVID-19) on herding behavior in cryptocurrency markets,"
Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
- Larisa Yarovaya & Roman Matkovskyy & Akanksha Jalan, 2021. "The effects of a “black swan” event (COVID-19) on herding behavior in cryptocurrency markets," Post-Print hal-03512931, HAL.
- Loïc Maréchal, 2021. "Do economic variables forecast commodity futures volatility?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(11), pages 1735-1774, November.
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.- Casas Villalba, Maria Isabel & Mao, Xiuping & Lopes Moreira Da Veiga, María Helena, 2020. "Adaptative predictability of stock market returns," DES - Working Papers. Statistics and Econometrics. WS 31648, Universidad Carlos III de Madrid. Departamento de Estadística.
- Pyun, Sungjune, 2019. "Variance risk in aggregate stock returns and time-varying return predictability," Journal of Financial Economics, Elsevier, vol. 132(1), pages 150-174.
- Bekaert, Geert & Hoerova, Marie, 2014.
"The VIX, the variance premium and stock market volatility,"
Journal of Econometrics, Elsevier, vol. 183(2), pages 181-192.
- Geert Bekaert & Marie Hoerova, 2013. "The VIX, the Variance Premium and Stock Market Volatility," NBER Working Papers 18995, National Bureau of Economic Research, Inc.
- Hoerova, Marie & Bekaert, Geert, 2014. "The VIX, the variance premium and stock market volatility," Working Paper Series 1675, European Central Bank.
- Choi, Yongok & Jacewitz, Stefan & Park, Joon Y., 2016. "A reexamination of stock return predictability," Journal of Econometrics, Elsevier, vol. 192(1), pages 168-189.
- 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.
- Nonejad, Nima, 2021. "Predicting equity premium using news-based economic policy uncertainty: Not all uncertainty changes are equally important," International Review of Financial Analysis, Elsevier, vol. 77(C).
- Andersen, Torben G. & Todorov, Viktor & Ubukata, Masato, 2021. "Tail risk and return predictability for the Japanese equity market," Journal of Econometrics, Elsevier, vol. 222(1), pages 344-363.
- Nguyen, Duc Binh Benno & Prokopczuk, Marcel & Wese Simen, Chardin, 2019.
"The risk premium of gold,"
Journal of International Money and Finance, Elsevier, vol. 94(C), pages 140-159.
- Nguyen, Duc Binh Benno & Prokopczuk, Marcel & Wese Simen, Chardin, 2017. "The Risk Premium of Gold," Hannover Economic Papers (HEP) dp-616, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
- Bams, Dennis & Blanchard, Gildas & Honarvar, Iman & Lehnert, Thorsten, 2017. "Does oil and gold price uncertainty matter for the stock market?," Journal of Empirical Finance, Elsevier, vol. 44(C), pages 270-285.
- Bekaert, Geert & Hoerova, Marie, 2016.
"What do asset prices have to say about risk appetite and uncertainty?,"
Journal of Banking & Finance, Elsevier, vol. 67(C), pages 103-118.
- Bekaert, Geert & Hoerova, Marie & Scheicher, Martin, 2009. "What do asset prices have to say about risk appetite and uncertainty?," Working Paper Series 1037, European Central Bank.
- Oikonomou, Ioannis & Stancu, Andrei & Symeonidis, Lazaros & Wese Simen, Chardin, 2019. "The information content of short-term options," Journal of Financial Markets, Elsevier, vol. 46(C).
- Yabei Zhu & Xingguo Luo & Qi Xu, 2023. "Industry variance risk premium, cross‐industry correlation, and expected returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(1), pages 3-32, January.
- Toshiaki Ogawa & Masato Ubukata & Toshiaki Watanabe, 2020. "Stock Return Predictability and Variance Risk Premia around the ZLB," IMES Discussion Paper Series 20-E-09, Institute for Monetary and Economic Studies, Bank of Japan.
- Farmer, Leland & Schmidt, Lawrence & Timmermann, Allan G, 2018. "Pockets of Predictability," CEPR Discussion Papers 12885, C.E.P.R. Discussion Papers.
- Ruan, Xinfeng & Zhang, Jin E., 2019. "Moment spreads in the energy market," Energy Economics, Elsevier, vol. 81(C), pages 598-609.
- Konstantinidi, Eirini & Skiadopoulos, George, 2016.
"How does the market variance risk premium vary over time? Evidence from S&P 500 variance swap investment returns,"
Journal of Banking & Finance, Elsevier, vol. 62(C), pages 62-75.
- Eirini Konstantinidi & George Skiadopoulos, 2014. "How Does the Market Variance Risk Premium Vary over Time? Evidence from S&P 500 Variance Swap Investment Returns," Working Papers 732, Queen Mary University of London, School of Economics and Finance.
- Eirini Konstantinidi & George Skiadopoulos, 2014. "How Does the Market Variance Risk Premium Vary over Time? Evidence from S&P 500 Variance Swap Investment Returns," Working Papers 732, Queen Mary University of London, School of Economics and Finance.
- 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.
- José Afonso Faias & Tiago Castel-Branco, 2018. "Out-Of-Sample Stock Return Prediction Using Higher-Order Moments," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 21(06), pages 1-27, September.
- Rombouts, Jeroen V.K. & Stentoft, Lars & Violante, Francesco, 2020.
"Variance swap payoffs, risk premia and extreme market conditions,"
Econometrics and Statistics, Elsevier, vol. 13(C), pages 106-124.
- Jeroen V.K. Rombouts & Lars Stentoft & Francesco Violante, 2017. "Variance swap payoffs, risk premia and extreme market conditions," CREATES Research Papers 2017-21, Department of Economics and Business Economics, Aarhus University.
- Bruno Feunou & Mohammad R Jahan-Parvar & Cédric Okou, 2018.
"Downside Variance Risk Premium,"
The Journal of Financial Econometrics, Society for Financial Econometrics, vol. 16(3), pages 341-383.
- Bruno Feunou & Mohammad R. Jahan-Parvar & Cédric Okou, 2015. "Downside Variance Risk Premium," Staff Working Papers 15-36, Bank of Canada.
- Bruno Feunou & Mohammad Jahan-Parvar & Cedric Okou, 2015. "Downside Variance Risk Premium," Finance and Economics Discussion Series 2015-20, Board of Governors of the Federal Reserve System (U.S.).
More about this item
Keywords
Net measures; Nonparametric methods; Predictability; Realized variance; Variance risk premium; VIX;All these keywords.
JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
- G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CFN-2019-02-11 (Corporate Finance)
- NEP-RMG-2019-02-11 (Risk Management)
- NEP-UPT-2019-02-11 (Utility Models & Prospect Theory)
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:aah:create:2018-10. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: http://www.econ.au.dk/afn/ .
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: (email available below). General contact details of provider: http://www.econ.au.dk/afn/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.