It\^o's formula for finite variation L\'evy processes: The case of non-smooth functions
Ramin Okhrati and
Uwe Schmock
Papers from arXiv.org
Abstract:
Extending It\^o's formula to non-smooth functions is important both in theory and applications. One of the fairly general extensions of the formula, known as Meyer-It\^o, applies to one dimensional semimartingales and convex functions. There are also satisfactory generalizations of It\^o's formula for diffusion processes where the Meyer-It\^o assumptions are weakened even further. We study a version of It\^o's formula for multi-dimensional finite variation L\'evy processes assuming that the underlying function is continuous and admits weak derivatives. We also discuss some applications of this extension, particularly in finance.
Date: 2015-07
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Published in Journal of Mathematical Analysis and Applications, 430, (2), 1163-1174 (2015)
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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:1507.00294
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