Pricing of Guaranteed Annuity Options in a Stochastic Volatility and Interest Rate Environment
Author
Abstract
Suggested Citation
DOI: 10.1515/apjri-2015-0013
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.References listed on IDEAS
- Ai[diaeresis]t-Sahalia, Yacine & Kimmel, Robert, 2007. "Maximum likelihood estimation of stochastic volatility models," Journal of Financial Economics, Elsevier, vol. 83(2), pages 413-452, February.
- Ballotta, Laura & Haberman, Steven, 2003. "Valuation of guaranteed annuity conversion options," Insurance: Mathematics and Economics, Elsevier, vol. 33(1), pages 87-108, August.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Belssing Taruvinga, 2019. "Solving Selected Problems on American Option Pricing with the Method of Lines," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 4-2019, January-A.
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.- Audrino, Francesco & Fengler, Matthias R., 2015.
"Are classical option pricing models consistent with observed option second-order moments? Evidence from high-frequency data,"
Journal of Banking & Finance, Elsevier, vol. 61(C), pages 46-63.
- Audrino, Francesco & Fengler, Matthias, 2013. "Are classical option pricing models consistent with observed option second-order moments? Evidence from high-frequency data," Economics Working Paper Series 1311, University of St. Gallen, School of Economics and Political Science.
- 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.
- Kristensen, Dennis & Mele, Antonio, 2011.
"Adding and subtracting Black-Scholes: A new approach to approximating derivative prices in continuous-time models,"
Journal of Financial Economics, Elsevier, vol. 102(2), pages 390-415.
- Dennis Kristensen & Antonio Mele, 2009. "Adding and Subtracting Black-Scholes: A New Approach to Approximating Derivative Prices in Continuous Time Models," CREATES Research Papers 2009-14, Department of Economics and Business Economics, Aarhus University.
- Yiannis A. Papadopoulos & Alan L. Lewis, 2018. "A First Option Calibration of the GARCH Diffusion Model by a PDE Method," Papers 1801.06141, arXiv.org.
- Ruijun Bu & Fredj Jawadi & Yuyi Li, 2020.
"A multifactor transformed diffusion model with applications to VIX and VIX futures,"
Econometric Reviews, Taylor & Francis Journals, vol. 39(1), pages 27-53, January.
- Ruijun Bu & Fredj Jawadi & Yuyi Li, 2018. "A Multi-Factor Transformed Diffusion Model with Applications to VIX and VIX Futures," Working Papers 20183, University of Liverpool, Department of Economics.
- Kaeck, Andreas & Rodrigues, Paulo & Seeger, Norman J., 2017. "Equity index variance: Evidence from flexible parametric jump–diffusion models," Journal of Banking & Finance, Elsevier, vol. 83(C), pages 85-103.
- Aït-Sahalia, Yacine & Amengual, Dante & Manresa, Elena, 2015. "Market-based estimation of stochastic volatility models," Journal of Econometrics, Elsevier, vol. 187(2), pages 418-435.
- Cui, Yiran & del Baño Rollin, Sebastian & Germano, Guido, 2017.
"Full and fast calibration of the Heston stochastic volatility model,"
European Journal of Operational Research, Elsevier, vol. 263(2), pages 625-638.
- Yiran Cui & Sebastian del Ba~no Rollin & Guido Germano, 2015. "Full and fast calibration of the Heston stochastic volatility model," Papers 1511.08718, arXiv.org, revised May 2016.
- Cui, Yiran & del Baño Rollin, Sebastian & Germano, Guido, 2017. "Full and fast calibration of the Heston stochastic volatility model," LSE Research Online Documents on Economics 83754, London School of Economics and Political Science, LSE Library.
- Peter Christoffersen & Kris Jacobs & Chayawat Ornthanalai, 2012. "GARCH Option Valuation: Theory and Evidence," CREATES Research Papers 2012-50, Department of Economics and Business Economics, Aarhus University.
- Tore Selland Kleppe & Jun Yu & H.J. Skaug, 2010.
"Simulated maximum likelihood estimation of continuous time stochastic volatility models,"
Advances in Econometrics, in: Maximum Simulated Likelihood Methods and Applications, pages 137-161,
Emerald Group Publishing Limited.
- Tore Selland Kleppe & Hans J. Skaug & Jun Yu, 2009. "Simulated Maximum Likelihood Estimation of Continuous Time Stochastic Volatility Models," Working Papers CoFie-09-2009, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
- Tore Selland KLEPPE & Jun YU & Hans J. SKAUG, 2009. "Stimulated Maximum Likelihood Estimation of Continuous Time Stochastic Volatility Models," Working Papers 20-2009, Singapore Management University, School of Economics.
- Ruan, Xinfeng & Zhang, Jin E., 2021. "The economics of the financial market for volatility trading," Journal of Financial Markets, Elsevier, vol. 52(C).
- David T. Frazier & Ruben Loaiza-Maya & Gael M. Martin, 2021.
"Variational Bayes in State Space Models: Inferential and Predictive Accuracy,"
Papers
2106.12262, arXiv.org, revised Feb 2022.
- David T. Frazier & Gael M. Martin & Ruben Loaiza-Maya, 2022. "Variational Bayes in State Space Models: Inferential and Predictive Accuracy," Monash Econometrics and Business Statistics Working Papers 1/22, Monash University, Department of Econometrics and Business Statistics.
- Andreas Kaeck & Carol Alexander, 2010. "Stochastic Volatility Jump-Diffusions for Equity Index Dynamics," ICMA Centre Discussion Papers in Finance icma-dp2010-06, Henley Business School, University of Reading.
- He, Xin-Jiang & Zhu, Song-Ping, 2017. "How should a local regime-switching model be calibrated?," Journal of Economic Dynamics and Control, Elsevier, vol. 78(C), pages 149-163.
- Dotsis, George & Psychoyios, Dimitris & Skiadopoulos, George, 2007. "An empirical comparison of continuous-time models of implied volatility indices," Journal of Banking & Finance, Elsevier, vol. 31(12), pages 3584-3603, December.
- Yun, Jaeho, 2014. "Out-of-sample density forecasts with affine jump diffusion models," Journal of Banking & Finance, Elsevier, vol. 47(C), pages 74-87.
- Benzion Boukai, 2023. "On the Class of Risk Neutral Densities under Heston’s Stochastic Volatility Model for Option Valuation," Mathematics, MDPI, vol. 11(9), pages 1-22, April.
- 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.
- Christensen, Kim & Oomen, Roel & Renò, Roberto, 2022. "The drift burst hypothesis," Journal of Econometrics, Elsevier, vol. 227(2), pages 461-497.
- Almut Veraart & Luitgard Veraart, 2012.
"Stochastic volatility and stochastic leverage,"
Annals of Finance, Springer, vol. 8(2), pages 205-233, May.
- Almut E. D. Veraart & Luitgard A. M. Veraart, 2009. "Stochastic volatility and stochastic leverage," CREATES Research Papers 2009-20, Department of Economics and Business Economics, Aarhus University.
Corrections
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:bpj:apjrin:v:10:y:2016:i:2:p:133-153:n:1. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyterbrill.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.