Evaluating Scale Functions of Spectrally Negative Lévy Processes
By Budhi Arta Surya. 2008
77 citations recorded by the source corpus.
Subfields: Finance, Management Science and Operations Research, Mathematical Physics
View Paper: https://www.semanticscholar.org/paper/ce1d03ee94a21388e7dd4d5ee7d394e11cb0e96b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Finance
- Andreas E. Kyprianou
- V. Rivero
- Zbigniew Palmowski
- Xiaowen Zhou
- Ronnie Loeffen
- Alexey Kuznetsov
- Chuancun Yin
- Martijn Pistorius
In Management Science and Operations Research
- Andreas E. Kyprianou
- V. Rivero
- Xiaowen Zhou
- Zbigniew Palmowski
- Ronnie Loeffen
- Alexey Kuznetsov
- Chuancun Yin
- Jean-François Renaud
In Mathematical Physics
- Zbigniew Palmowski
- Andreas E. Kyprianou
- V. Rivero
- Ronnie Loeffen
- Xiaowen Zhou
- Alexey Kuznetsov
- Chuancun Yin
- Zhan Shi
Citations in the corpus
- Refracted Lévy processes (2008, methodology): “For the cases where no explicit formula is known for the scale function, [27] and [31] advocate simple methods of numerical Laplace inversion.”
- The Theory of Scale Functions for Spectrally Negative Lévy Processes (2011, methodology): “Surya [99] presents an algorithm for evaluating the scale function using exponential dampening followed by Laplace inversion; the latter performed in a similar way as Rogers [89].”
- Distributional Study of De Finetti's Dividend Problem for a General Lévy Insurance Risk Process (2007, background): “There are few examples for which the scale function is known in explicit form (although Rogers (2000) and Surya (2006) have developed methods to numerically invert the Laplace transform in (2)).”
- An Insurance Risk Model with Parisian Implementation Delays (2013, unknown): “, Hubalek and Kyprianou (2010), Kyprianou and Rivero (2008), as well as the numerical algorithm developed by Surya (2008). Furthermore, mixed Erlang distributions are known to be a very large and flexible class of distributions for modelling purposes (see Willmot and Woo (2007)).”
- An Optimal Dividends Problem with a Terminal Value for Spectrally Negative Lévy Processes with a Completely Monotone Jump Density (2009, methodology): “In case no explicit formula for the scale function exists, we can use numerical methods, as described in [25], to invert the Laplace transform of the scale function.”
- An optimal dividends problem with transaction costs for spectrally negative Lévy processes (2009, unknown): “In case no explicit formula for the scale function exists, one can use numerical methods as described in [26] to invert the Laplace transform of the scale function.”
- OCCUPATION TIMES OF SPECTRALLY NEGATIVE LÉVY PROCESSES WITH APPLICATIONS (2010, unknown): “Further information, examples, and numerical techniques related to the computation of scale functions can be found in [4,9,13,16,21].”
- General tax Structures and the Lévy Insurance Risk Model (2009, methodology): “Surya [22] gave recipes for evaluating scale functions numerically.”
- A note on scale functions and the time value of ruin for Levy insurance risk processes (2010, unknown): “Rogers (2000) and Surya (2008) have provided robust methods for numerically computing scale functions.”