Pricing Complex Barrier Options with General Features Using Sharp Large Deviation Estimates

Author(s):  
Paolo Baldi ◽  
Lucia Caramellino ◽  
Maria Gabriella Iovino
2004 ◽  
Vol Vol. 6 no. 2 ◽  
Author(s):  
Mireille Régnier ◽  
Alain Denise

International audience Some strings -the texts- are assumed to be randomly generated, according to a probability model that is either a Bernoulli model or a Markov model. A rare event is the over or under-representation of a word or a set of words. The aim of this paper is twofold. First, a single word is given. One studies the tail distribution of the number of its occurrences. Sharp large deviation estimates are derived. Second, one assumes that a given word is overrepresented. The distribution of a second word is studied; formulae for the expectation and the variance are derived. In both cases, the formulae are accurate and actually computable. These results have applications in computational biology, where a genome is viewed as a text.


2013 ◽  
Vol 2013 ◽  
pp. 1-4
Author(s):  
Shoujiang Zhao ◽  
Qiaojing Liu ◽  
Fuxiang Liu ◽  
Hong Yin

2013 ◽  
Vol 35 (1) ◽  
pp. 249-273 ◽  
Author(s):  
VESSELIN PETKOV ◽  
LUCHEZAR STOYANOV

AbstractWe prove a sharp large deviation principle concerning intervals shrinking with sub-exponential speed for certain models involving the Poincaré map related to a Markov family for an Axiom A flow restricted to a basic set $\Lambda $ satisfying some additional regularity assumptions.


1999 ◽  
Vol 3 (1) ◽  
pp. 41-67 ◽  
Author(s):  
R Zvan ◽  
P Forsyth ◽  
K Vetzal
Keyword(s):  

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