Conclusion
Olivier Le Courtois and
Christian Walter ()
Chapter 13 in Extreme Financial Risks and Asset Allocation, 2014, pp 331-331 from World Scientific Publishing Co. Pte. Ltd.
Abstract:
The studies conducted between the 1950s and the 1970s by Markowitz, Sharpe, Samuelson, Black, Scholes, and Merton made possible the construction of a consistent framework for the management of portfolios and the valuation of derivatives. This framework, as well as the 1992 model of Heath, Jarrow, and Morton, which unites numerous interest rate submodels, yields results and predictions that can vary considerably depending on the hypotheses that are made. Most traditional financial models rest on a Brownian representation of dynamics, so pertain to the Leibnizian continuity principle mentioned in the introduction. This principle has been abandoned in physics and genetics, but retained in economics and finance. Contrary to this natural philosophy where things change gradually, we aimed to take into account discontinuities within all financial techniques of portfolio and risk management. Modeling asset returns using Lévy processes was systematically explored and included within the classic methods dating back to the 1970s…
Keywords: Lévy Process; Extreme Risks; Risk Management; Portfolio Management; Asset Allocation (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.worldscientific.com/doi/pdf/10.1142/9781783263097_0013 (application/pdf)
https://www.worldscientific.com/doi/abs/10.1142/9781783263097_0013 (text/html)
Ebook Access is available upon purchase.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wsi:wschap:9781783263097_0013
Ordering information: This item can be ordered from
Access Statistics for this chapter
More chapters in World Scientific Book Chapters from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().