Continuous affine processes: Transformations, Markov chains and life insurance

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Continuous affine processes : Transformations, Markov chains and life insurance. / Buchardt, Kristian.

In: Advances in Applied Probability, Vol. 48, No. 2, 01.06.2016, p. 423-442.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Buchardt, K 2016, 'Continuous affine processes: Transformations, Markov chains and life insurance', Advances in Applied Probability, vol. 48, no. 2, pp. 423-442. https://doi.org/10.1017/apr.2016.8

APA

Buchardt, K. (2016). Continuous affine processes: Transformations, Markov chains and life insurance. Advances in Applied Probability, 48(2), 423-442. https://doi.org/10.1017/apr.2016.8

Vancouver

Buchardt K. Continuous affine processes: Transformations, Markov chains and life insurance. Advances in Applied Probability. 2016 Jun 1;48(2):423-442. https://doi.org/10.1017/apr.2016.8

Author

Buchardt, Kristian. / Continuous affine processes : Transformations, Markov chains and life insurance. In: Advances in Applied Probability. 2016 ; Vol. 48, No. 2. pp. 423-442.

Bibtex

@article{93b3b124de1541f6bdf18b5f32e8a174,
title = "Continuous affine processes: Transformations, Markov chains and life insurance",
abstract = "Affine processes possess the property that expectations of exponential affine transformations are given by a set of Riccati differential equations, which is the main feature of this popular class of processes. In this paper we generalise these results for expectations of more general transformations. This is of interest in, e.g. doubly stochastic Markov models, in particular in life insurance. When using affine processes for modelling the transition rates and interest rate, the results presented allow for easy calculation of transition probabilities and expected present values.",
keywords = "Credit risk, Doubly stochastic process, Multi-state life insurance models, Stochastic interest, Stochastic mortality",
author = "Kristian Buchardt",
year = "2016",
month = jun,
day = "1",
doi = "10.1017/apr.2016.8",
language = "English",
volume = "48",
pages = "423--442",
journal = "Advances in Applied Probability",
issn = "0001-8678",
publisher = "Applied Probability Trust",
number = "2",

}

RIS

TY - JOUR

T1 - Continuous affine processes

T2 - Transformations, Markov chains and life insurance

AU - Buchardt, Kristian

PY - 2016/6/1

Y1 - 2016/6/1

N2 - Affine processes possess the property that expectations of exponential affine transformations are given by a set of Riccati differential equations, which is the main feature of this popular class of processes. In this paper we generalise these results for expectations of more general transformations. This is of interest in, e.g. doubly stochastic Markov models, in particular in life insurance. When using affine processes for modelling the transition rates and interest rate, the results presented allow for easy calculation of transition probabilities and expected present values.

AB - Affine processes possess the property that expectations of exponential affine transformations are given by a set of Riccati differential equations, which is the main feature of this popular class of processes. In this paper we generalise these results for expectations of more general transformations. This is of interest in, e.g. doubly stochastic Markov models, in particular in life insurance. When using affine processes for modelling the transition rates and interest rate, the results presented allow for easy calculation of transition probabilities and expected present values.

KW - Credit risk

KW - Doubly stochastic process

KW - Multi-state life insurance models

KW - Stochastic interest

KW - Stochastic mortality

UR - http://www.scopus.com/inward/record.url?scp=84976448998&partnerID=8YFLogxK

U2 - 10.1017/apr.2016.8

DO - 10.1017/apr.2016.8

M3 - Journal article

AN - SCOPUS:84976448998

VL - 48

SP - 423

EP - 442

JO - Advances in Applied Probability

JF - Advances in Applied Probability

SN - 0001-8678

IS - 2

ER -

ID: 178792894