@inbook{237f8c67201942cd8ee31769fb776d4d,
title = "Modeling a Random Cash Flow of an Asset with a Semi-Markovian Model",
abstract = "In this paper, we use a semi-Markovian model to compute the conditional higher moments of any order of the present value of cash flows generated by an investment, taking into account the state of the market. With the force of interest following a stochastic process, we give an example to illustrate our results.",
keywords = "Cash flows, Differential equation, Multi-state model, Semi-Markovian",
author = "Franck Ad{\'e}kambi",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.",
year = "2020",
doi = "10.1007/978-3-030-13697-0_8",
language = "English",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer",
pages = "99--118",
booktitle = "Lecture Notes in Networks and Systems",
address = "Germany",
}