Hattendorff Differential Equation for Multi-State Markov Insurance Models

We derive a Hattendorff differential equation and a recursion governing the evolution of continuous and discrete time evolution respectively of the variance of the loss at time <i>t</i> random variable given that the state at time <i>t</i> is <i>j</i>, for a multi...

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Main Authors: Rajeev Rajaram, Nathan Ritchey
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Risks
Subjects:
Online Access:https://www.mdpi.com/2227-9091/9/9/169
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spelling doaj-b471cace2fdd46ccbc9ab98de96cfde32021-09-26T01:20:27ZengMDPI AGRisks2227-90912021-09-01916916910.3390/risks9090169Hattendorff Differential Equation for Multi-State Markov Insurance ModelsRajeev Rajaram0Nathan Ritchey1Department of Mathematical Sciences, Kent State University, Kent, OH 44242, USADepartment of Mathematical Sciences, Kent State University, Kent, OH 44242, USAWe derive a Hattendorff differential equation and a recursion governing the evolution of continuous and discrete time evolution respectively of the variance of the loss at time <i>t</i> random variable given that the state at time <i>t</i> is <i>j</i>, for a multistate Markov insurance model (denoted by <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mrow></mrow><mn>2</mn></msup><msubsup><mi>σ</mi><mi>t</mi><mrow><mo>(</mo><mi>j</mi><mo>)</mo></mrow></msubsup></mrow></semantics></math></inline-formula>). We also show using matrix notation that both models can be easily adapted for use in MATLAB for numerical computations.https://www.mdpi.com/2227-9091/9/9/169policy valueKolmogorov forward equationsmultistate modelThiele’s differential equationHattendorff differential equation
collection DOAJ
language English
format Article
sources DOAJ
author Rajeev Rajaram
Nathan Ritchey
spellingShingle Rajeev Rajaram
Nathan Ritchey
Hattendorff Differential Equation for Multi-State Markov Insurance Models
Risks
policy value
Kolmogorov forward equations
multistate model
Thiele’s differential equation
Hattendorff differential equation
author_facet Rajeev Rajaram
Nathan Ritchey
author_sort Rajeev Rajaram
title Hattendorff Differential Equation for Multi-State Markov Insurance Models
title_short Hattendorff Differential Equation for Multi-State Markov Insurance Models
title_full Hattendorff Differential Equation for Multi-State Markov Insurance Models
title_fullStr Hattendorff Differential Equation for Multi-State Markov Insurance Models
title_full_unstemmed Hattendorff Differential Equation for Multi-State Markov Insurance Models
title_sort hattendorff differential equation for multi-state markov insurance models
publisher MDPI AG
series Risks
issn 2227-9091
publishDate 2021-09-01
description We derive a Hattendorff differential equation and a recursion governing the evolution of continuous and discrete time evolution respectively of the variance of the loss at time <i>t</i> random variable given that the state at time <i>t</i> is <i>j</i>, for a multistate Markov insurance model (denoted by <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mrow></mrow><mn>2</mn></msup><msubsup><mi>σ</mi><mi>t</mi><mrow><mo>(</mo><mi>j</mi><mo>)</mo></mrow></msubsup></mrow></semantics></math></inline-formula>). We also show using matrix notation that both models can be easily adapted for use in MATLAB for numerical computations.
topic policy value
Kolmogorov forward equations
multistate model
Thiele’s differential equation
Hattendorff differential equation
url https://www.mdpi.com/2227-9091/9/9/169
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