Pricing the Weather Derivatives in the Presence of Long Memory in Temperatures
Author
Abstract
Suggested Citation
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00079197v2
Download full text from publisher
References listed on IDEAS
- Sowell, Fallaw, 1992. "Maximum likelihood estimation of stationary univariate fractionally integrated time series models," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 165-188.
- Eckhard Platen & Jason West, 2004.
"A Fair Pricing Approach to Weather Derivatives,"
Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 11(1), pages 23-53, March.
- Eckhard Platen & Jason West, 2003. "Fair Pricing of Weather Derivatives," Research Paper Series 106, Quantitative Finance Research Centre, University of Technology, Sydney.
- Bollerslev, Tim & Ole Mikkelsen, Hans, 1996.
"Modeling and pricing long memory in stock market volatility,"
Journal of Econometrics, Elsevier, vol. 73(1), pages 151-184, July.
- Tom Doan, "undated". "RATS program to replicate Bollerslev-Mikkelson(1996) FIEGARCH models," Statistical Software Components RTZ00173, Boston College Department of Economics.
- Fred Espen Benth, 2003. "On arbitrage-free pricing of weather derivatives based on fractional Brownian motion," Applied Mathematical Finance, Taylor & Francis Journals, vol. 10(4), pages 303-324.
- Deo, Rohit S. & Hurvich, Clifford M., 2001. "On The Log Periodogram Regression Estimator Of The Memory Parameter In Long Memory Stochastic Volatility Models," Econometric Theory, Cambridge University Press, vol. 17(4), pages 686-710, August.
- Jackwerth, Jens Carsten & Rubinstein, Mark, 1996. "Recovering Probability Distributions from Option Prices," Journal of Finance, American Finance Association, vol. 51(5), pages 1611-1632, December.
- Eckhard Platen, 2001. "Arbitrage in Continuous Complete Markets," Research Paper Series 72, Quantitative Finance Research Centre, University of Technology, Sydney.
- Baillie, Richard T. & Bollerslev, Tim & Mikkelsen, Hans Ole, 1996.
"Fractionally integrated generalized autoregressive conditional heteroskedasticity,"
Journal of Econometrics, Elsevier, vol. 74(1), pages 3-30, September.
- Tom Doan, "undated". "RATS programs to replicate Baillie, Bollerslev, Mikkelson FIGARCH results," Statistical Software Components RTZ00009, Boston College Department of Economics.
- Breidt, F. Jay & Crato, Nuno & de Lima, Pedro, 1998. "The detection and estimation of long memory in stochastic volatility," Journal of Econometrics, Elsevier, vol. 83(1-2), pages 325-348.
- Hélène Hamisultane, 2007. "Extracting Information from the Market to Price the Weather Derivatives," Working Papers halshs-00079192, HAL.
- Baillie, Richard T., 1996. "Long memory processes and fractional integration in econometrics," Journal of Econometrics, Elsevier, vol. 73(1), pages 5-59, July.
- Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
- Black, Fischer, 1976. "The pricing of commodity contracts," Journal of Financial Economics, Elsevier, vol. 3(1-2), pages 167-179.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Helene Hamisultane, 2010.
"Utility-based pricing of weather derivatives,"
The European Journal of Finance, Taylor & Francis Journals, vol. 16(6), pages 503-525.
- Hélène Hamisultane, 2007. "Utility-based Pricing of the Weather Derivatives," Working Papers halshs-00088701, HAL.
- Best, Peter & Stone, Roger & Sosenko, Olena, 2007. "Climate risk management based on climate modes and indices - the potential in Australian agribusinesses," 101st Seminar, July 5-6, 2007, Berlin Germany 9257, European Association of Agricultural Economists.
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.- Isao Ishida & Toshiaki Watanabe, 2009.
"Modeling and Forecasting the Volatility of the Nikkei 225 Realized Volatility Using the ARFIMA-GARCH Model,"
CARF F-Series
CARF-F-145, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Isao Ishida & Toshiaki Watanabe, 2009. "Modeling and Forecasting the Volatility of the Nikkei 225 Realized Volatility Using the ARFIMA-GARCH Model," CIRJE F-Series CIRJE-F-608, CIRJE, Faculty of Economics, University of Tokyo.
- Isao Ishida & Toshiaki Watanabe, 2009. "Modeling and Forecasting the Volatility of the Nikkei 225 Realized Volatility Using the ARFIMA-GARCH Model," Global COE Hi-Stat Discussion Paper Series gd08-032, Institute of Economic Research, Hitotsubashi University.
- Ana Pérez & Esther Ruiz, 2002.
"Modelos de memoria larga para series económicas y financieras,"
Investigaciones Economicas, Fundación SEPI, vol. 26(3), pages 395-445, September.
- Pérez, Ana, 2001. "Modelos de memoria larga para series económicas y financieras," DES - Documentos de Trabajo. EstadÃstica y EconometrÃa. DS ds010101, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Martin, Gael M. & Nadarajah, K. & Poskitt, D.S., 2020.
"Issues in the estimation of mis-specified models of fractionally integrated processes,"
Journal of Econometrics, Elsevier, vol. 215(2), pages 559-573.
- K. Nadarajah & Gael M. Martin & D.S. Poskitt, 2014. "Issues in the Estimation of Mis-Specified Models of Fractionally Integrated Processes," Monash Econometrics and Business Statistics Working Papers 18/14, Monash University, Department of Econometrics and Business Statistics.
- Gael M Martin & K. Nadarajah & Donald S Poskitt, 2018. "Issues in the estimation of mis-specified models of fractionally integrated processes," Monash Econometrics and Business Statistics Working Papers 18/18, Monash University, Department of Econometrics and Business Statistics.
- Javier Haulde & Morten Ørregaard Nielsen, 2022.
"Fractional integration and cointegration,"
CREATES Research Papers
2022-02, Department of Economics and Business Economics, Aarhus University.
- Javier Hualde & Morten {O}rregaard Nielsen, 2022. "Fractional integration and cointegration," Papers 2211.10235, arXiv.org.
- Per Frederiksen & Morten Orregaard Nielsen, 2008.
"Bias-Reduced Estimation of Long-Memory Stochastic Volatility,"
Journal of Financial Econometrics, Oxford University Press, vol. 6(4), pages 496-512, Fall.
- Per Frederiksen & Morten Ørregaard Nielsen, 2008. "Bias-reduced estimation of long memory stochastic volatility," CREATES Research Papers 2008-35, Department of Economics and Business Economics, Aarhus University.
- John Cotter & Simon Stevenson, 2008.
"Modeling Long Memory in REITs,"
Real Estate Economics, American Real Estate and Urban Economics Association, vol. 36(3), pages 533-554, September.
- Cotter, John & Stevenson, Simon, 2007. "Modeling Long Memory in REITs," MPRA Paper 3500, University Library of Munich, Germany.
- John Cotter, 2011. "Modelling Long Memory in REITs," Working Papers 200614, Geary Institute, University College Dublin.
- John Cotter & Simon Stevenson, 2011. "Modeling Long Memory in REITs," Papers 1103.5414, arXiv.org.
- Kunal Saha & Vinodh Madhavan & Chandrashekhar G. R. & David McMillan, 2020. "Pitfalls in long memory research," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1733280-173, January.
- Nigel Wilkins, 2004. "Indirect Estimation of Long Memory Volatility Models," Econometric Society 2004 Far Eastern Meetings 459, Econometric Society.
- Lu, Yang K. & Perron, Pierre, 2010.
"Modeling and forecasting stock return volatility using a random level shift model,"
Journal of Empirical Finance, Elsevier, vol. 17(1), pages 138-156, January.
- Yang K. Lu & Pierre Perron, 2008. "Modeling and Forecasting Stock Return Volatility Using a Random Level Shift Model," Boston University - Department of Economics - Working Papers Series wp2008-012, Boston University - Department of Economics.
- Liu, Ming, 2000. "Modeling long memory in stock market volatility," Journal of Econometrics, Elsevier, vol. 99(1), pages 139-171, November.
- Brunetti, Celso & Gilbert, Christopher L., 2000.
"Bivariate FIGARCH and fractional cointegration,"
Journal of Empirical Finance, Elsevier, vol. 7(5), pages 509-530, December.
- Celso Brunetti & Christopher L. Gilbert, 1999. "Bivariate FIGARCH and Fractional Cointegration," Working Papers 408, Queen Mary University of London, School of Economics and Finance.
- Jensen Mark J., 2016.
"Robust estimation of nonstationary, fractionally integrated, autoregressive, stochastic volatility,"
Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(4), pages 455-475, September.
- Mark J. Jensen, 2015. "Robust estimation of nonstationary, fractionally integrated, autoregressive, stochastic volatility," FRB Atlanta Working Paper 2015-12, Federal Reserve Bank of Atlanta.
- Jonathan Wright, 2002.
"Log-Periodogram Estimation Of Long Memory Volatility Dependencies With Conditionally Heavy Tailed Returns,"
Econometric Reviews, Taylor & Francis Journals, vol. 21(4), pages 397-417.
- Jonathan H. Wright, 2000. "Log-periodogram estimation of long memory volatility dependencies with conditionally heavy tailed returns," International Finance Discussion Papers 685, Board of Governors of the Federal Reserve System (U.S.).
- Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2005.
"Volatility Forecasting,"
PIER Working Paper Archive
05-011, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2005. "Volatility forecasting," CFS Working Paper Series 2005/08, Center for Financial Studies (CFS).
- Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2005. "Volatility Forecasting," NBER Working Papers 11188, National Bureau of Economic Research, Inc.
- Tomasz Wójtowicz & Henryk Gurgul, 2009. "Long memory of volatility measures in time series," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 19(1), pages 37-54.
- Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2006. "Volatility and Correlation Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 15, pages 777-878, Elsevier.
- René Garcia & Eric Ghysels & Eric Renault, 2004. "The Econometrics of Option Pricing," CIRANO Working Papers 2004s-04, CIRANO.
- Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), 2008. "Handbook on Information Technology in Finance," International Handbooks on Information Systems, Springer, number 978-3-540-49487-4, November.
- Antonio Rubia & Trino-Manuel Ñíguez, 2006.
"Forecasting the conditional covariance matrix of a portfolio under long-run temporal dependence,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(6), pages 439-458.
- Antonio Rubia Serrano & Trino-Manuel Ñíguez, 2003. "Forecasting The Conditional Covariance Matrix Of A Portfolio Under Long-Run Temporal Dependence," Working Papers. Serie AD 2003-34, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
- Manabu Asai & Michael McAleer, 2017.
"A fractionally integrated Wishart stochastic volatility model,"
Econometric Reviews, Taylor & Francis Journals, vol. 36(1-3), pages 42-59, March.
- Manabu Asai & Michael McAleer, 2013. "A Fractionally Integrated Wishart Stochastic Volatility Model," Documentos de Trabajo del ICAE 2013-07, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Manabu Asai & Michael McAleer, 2013. "A Fractionally Integrated Wishart Stochastic Volatility Model," KIER Working Papers 848, Kyoto University, Institute of Economic Research.
- Manabu Asai & Michael McAleer, 2013. "A Fractionally Integrated Wishart Stochastic Volatility Model," Tinbergen Institute Discussion Papers 13-025/III, Tinbergen Institute.
More about this item
Keywords
weather derivatives; incomplete market; long memory; ARFIMA process; FIGARCH process; LMSV process; fractional Brownian motion; PDE; Monte-Carlo simulations;All these keywords.
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:hal:wpaper:halshs-00079197. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.