IDEAS home Printed from https://ideas.repec.org/e/pna126.html
   My authors  Follow this author

Martina Nardon

Personal Details

First Name:Martina
Middle Name:
Last Name:Nardon
Suffix:
RePEc Short-ID:pna126
https://www.unive.it/data/people/5590853
Department of Economics University Ca' Foscari of Venice San Giobbe - Cannaregio, 873 30121 Venezia, Italy
+39 0412347413
Terminal Degree:2002 Dipartimento di Matematica Applicata; Università Ca' Foscari Venezia (from RePEc Genealogy)

Affiliation

Dipartimento di Economia
Università Ca' Foscari Venezia

Venezia, Italy
http://www.unive.it/dip.economia
RePEc:edi:dsvenit (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Diana Barro & Marco Corazza & Martina Nardon, 2020. "Cumulative Prospect Theory portfolio selection," Working Papers 2020:26, Department of Economics, University of Venice "Ca' Foscari".
  2. Martina Nardon & Paolo Pianca, 2019. "Insurance premium calculation under continuous cumulative prospect theory," Working Papers 2019:03, Department of Economics, University of Venice "Ca' Foscari".
  3. Martina Nardon & Paolo Pianca, 2016. "Covered call writing in a cumulative prospect theory framework," Working Papers 2016:35, Department of Economics, University of Venice "Ca' Foscari".
  4. Martina Nardon & Paolo Pianca, 2015. "Probability weighting functions," Working Papers 2015:29, Department of Economics, University of Venice "Ca' Foscari".
  5. Martina Nardon & Paolo Pianca, 2014. "European option pricing with constant relative sensitivity probability weighting function," Working Papers 2014:25, Department of Economics, University of Venice "Ca' Foscari".
  6. Martina Nardon & Paolo Pianca, 2012. "Extracting information on implied volatilities and discrete dividends from American options prices," Working Papers 2012_25, Department of Economics, University of Venice "Ca' Foscari".
  7. Martina Nardon & Paolo Pianca, 2012. "Prospect theory: An application to European option pricing," Working Papers 2012:34, Department of Economics, University of Venice "Ca' Foscari".
  8. Martina Nardon & Paolo Pianca, 2010. "Extracting Implied Dividends from Options Prices: some Applications to the Italian Derivatives Market," Working Papers 198, Department of Applied Mathematics, Università Ca' Foscari Venezia.
  9. Martina Nardon & Paolo Pianca, 2009. "Implied volatilities of American options with cash dividends: an application to Italian Derivatives Market (IDEM)," Working Papers 195, Department of Applied Mathematics, Università Ca' Foscari Venezia.
  10. Martina Nardon & Paolo Pianca, 2008. "An efficient binomial approach to the pricing of options on stocks with cash dividends," Working Papers 178, Department of Applied Mathematics, Università Ca' Foscari Venezia.
  11. Luca Barzanti & Corrado Corradi & Martina Nardon, 2006. "On the efficient application of the repeated Richardson extrapolation technique to option pricing," Working Papers 147, Department of Applied Mathematics, Università Ca' Foscari Venezia.
  12. Martina Nardon & Paolo Pianca, 2006. "Simulation techniques for generalized Gaussian densities," Working Papers 145, Department of Applied Mathematics, Università Ca' Foscari Venezia.
  13. Martina Nardon, 2005. "Valuing defaultable bonds: an excursion time approach," Finance 0511015, University Library of Munich, Germany.

Articles

  1. Martina Nardon & Paolo Pianca, 2019. "Behavioral premium principles," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 42(1), pages 229-257, June.
  2. Martina Nardon & Paolo Pianca, 2019. "European option pricing under cumulative prospect theory with constant relative sensitivity probability weighting functions," Computational Management Science, Springer, vol. 16(1), pages 249-274, February.
  3. Martina Nardon, 2008. "First Passage and Excursion Time Models for Valuing Defautltable Bonds: a Review with Some Insights," Frontiers in Finance and Economics, SKEMA Business School, vol. 5(2), pages 1-25, October.
  4. Antonella Basso & Martina Nardon & Paolo Pianca, 2004. "A two-step simulation procedure to analyze the exercise features of American options," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 27(1), pages 35-56, August.

Chapters

  1. Diana Barro & Marco Corazza & Martina Nardon, 2021. "Behavioral Aspects in Portfolio Selection," Springer Books, in: Marco Corazza & Manfred Gilli & Cira Perna & Claudio Pizzi & Marilena Sibillo (ed.), Mathematical and Statistical Methods for Actuarial Sciences and Finance, pages 87-93, Springer.
  2. Martina Nardon & Paolo Pianca, 2008. "Simulating a Generalized Gaussian Noise with Shape Parameter 1/2," Springer Books, in: Cira Perna & Marilena Sibillo (ed.), Mathematical and Statistical Methods in Insurance and Finance, pages 173-180, Springer.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Diana Barro & Marco Corazza & Martina Nardon, 2020. "Cumulative Prospect Theory portfolio selection," Working Papers 2020:26, Department of Economics, University of Venice "Ca' Foscari".

    Cited by:

    1. Francesco Cesarone & Massimiliano Corradini & Lorenzo Lampariello & Jessica Riccioni, 2023. "A new behavioral model for portfolio selection using the Half-Full/Half-Empty approach," Papers 2312.10749, arXiv.org.

  2. Martina Nardon & Paolo Pianca, 2019. "Insurance premium calculation under continuous cumulative prospect theory," Working Papers 2019:03, Department of Economics, University of Venice "Ca' Foscari".

    Cited by:

    1. Toritseju Begho & Kelvin Balcombe, 2023. "Attitudes to Risk and Uncertainty: New Insights From an Experiment Using Interval Prospects," SAGE Open, , vol. 13(3), pages 21582440231, July.
    2. Sainan Zhang & Huifu Xu, 2022. "Insurance premium-based shortfall risk measure induced by cumulative prospect theory," Computational Management Science, Springer, vol. 19(4), pages 703-738, October.

  3. Martina Nardon & Paolo Pianca, 2015. "Probability weighting functions," Working Papers 2015:29, Department of Economics, University of Venice "Ca' Foscari".

    Cited by:

    1. Martina Nardon & Paolo Pianca, 2019. "Insurance premium calculation under continuous cumulative prospect theory," Working Papers 2019:03, Department of Economics, University of Venice "Ca' Foscari".
    2. Li, Baibing & Hensher, David A., 2017. "Risky weighting in discrete choice," Transportation Research Part B: Methodological, Elsevier, vol. 102(C), pages 1-21.

  4. Martina Nardon & Paolo Pianca, 2012. "Extracting information on implied volatilities and discrete dividends from American options prices," Working Papers 2012_25, Department of Economics, University of Venice "Ca' Foscari".

    Cited by:

    1. Shuaiqiang Liu & 'Alvaro Leitao & Anastasia Borovykh & Cornelis W. Oosterlee, 2020. "On Calibration Neural Networks for extracting implied information from American options," Papers 2001.11786, arXiv.org.

  5. Martina Nardon & Paolo Pianca, 2006. "Simulation techniques for generalized Gaussian densities," Working Papers 145, Department of Applied Mathematics, Università Ca' Foscari Venezia.

    Cited by:

    1. Sebastiano Michele Zema, 2020. "Directed Acyclic Graph based Information Shares for Price Discovery," LEM Papers Series 2020/28, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

  6. Martina Nardon, 2005. "Valuing defaultable bonds: an excursion time approach," Finance 0511015, University Library of Munich, Germany.

    Cited by:

    1. Sukhomlin, Nikolay & Santana Jiménez, Lisette Josefina, 2010. "Problema de calibración de mercado y estructura implícita del modelo de bonos de Black-Cox = Market Calibration Problem and the Implied Structure of the Black-Cox Bond Model," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 10(1), pages 73-98, December.

Articles

  1. Martina Nardon & Paolo Pianca, 2019. "Behavioral premium principles," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 42(1), pages 229-257, June.

    Cited by:

    1. Joanna Dębicka & Stanisław Heilpern, 2020. "The optimization of insurance contracts on the viatical market," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 30(2), pages 5-27.

  2. Antonella Basso & Martina Nardon & Paolo Pianca, 2004. "A two-step simulation procedure to analyze the exercise features of American options," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 27(1), pages 35-56, August.

    Cited by:

    1. Qianru Shang & Brian Byrne, 2021. "American option pricing: Optimal Lattice models and multidimensional efficiency tests," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(4), pages 514-535, April.
    2. Martina Nardon & Paolo Pianca, 2012. "Extracting information on implied volatilities and discrete dividends from American options prices," Working Papers 2012_25, Department of Economics, University of Venice "Ca' Foscari".
    3. Martina Nardon & Paolo Pianca, 2008. "An efficient binomial approach to the pricing of options on stocks with cash dividends," Working Papers 178, Department of Applied Mathematics, Università Ca' Foscari Venezia.
    4. Yi-Ping Chang & Ming-Chin Hung & Yi-Chen Ko, 2011. "A multinomial tree model for pricing credit default swap options," Computational Statistics, Springer, vol. 26(1), pages 95-120, March.

Chapters

    Sorry, no citations of chapters recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 9 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-UPT: Utility Models and Prospect Theory (3) 2013-01-07 2015-11-01 2019-02-04
  2. NEP-CFN: Corporate Finance (2) 2007-01-14 2008-12-01
  3. NEP-RMG: Risk Management (2) 2005-12-09 2015-01-03
  4. NEP-CMP: Computational Economics (1) 2010-09-18
  5. NEP-ECM: Econometrics (1) 2006-11-25
  6. NEP-FIN: Finance (1) 2005-12-09
  7. NEP-FMK: Financial Markets (1) 2005-12-09
  8. NEP-IAS: Insurance Economics (1) 2019-02-04

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Martina Nardon should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.