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zbMATH Open
Article . 2014
Data sources: zbMATH Open
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SSRN Electronic Journal
Article . 2013 . Peer-reviewed
Data sources: Crossref
Journal of Economic Dynamics and Control
Article . 2014 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2013
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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Model-free CPPI

Authors: Alexander Schied;

Model-free CPPI

Abstract

We consider Constant Proportion Portfolio Insurance (CPPI) and its dynamic extension, which may be called Dynamic Proportion Portfolio Insurance (DPPI). It is shown that these investment strategies work within the setting of Föllmer's pathwise Itô calculus, which makes no probabilistic assumptions whatsoever. This shows, on the one hand, that CPPI and DPPI are completely independent of any choice of a particular model for the dynamics of asset prices. They even make sense beyond the class of semimartingale sample paths and can be successfully defined for models admitting arbitrage, including some models based on fractional Brownian motion. On the other hand, the result can be seen as a case study for the general issue of robustness in the face of model uncertainty in finance.

Country
Germany
Related Organizations
Keywords

pathwise trading strategies, Probability (math.PR), robustness, 510, FOS: Economics and business, Föllmer's pathwise Itô calculus, Portfolio theory, Derivative securities (option pricing, hedging, etc.), Portfolio Management (q-fin.PM), Knightian uncertainty, Risk theory, insurance, FOS: Mathematics, model uncertainty, DPPI, CPPI, Quantitative Finance - Portfolio Management, Mathematics - Probability, 60H05, 91G10

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Top 10%
Top 10%
Green