Talk:Stochastic modelling (insurance)

Latest comment: 14 years ago by Kellerchch in topic Links

Insurance only?

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It seems kind of bizarre this article only talks about insurance application. I added a link to Stochastic process.

--Mikelove1 (talk) 19:08, 9 July 2008 (UTC)Reply

Absolutely it's bizarre. It's also entirely understandable, because the page was probably created (and subsequently developed) by people familiar with this particular application. Hence the article title is a legacy of those origins.
There is no special reason for that to be immutable. I would have thought it logical to have the top level Monte Carlo method article, which would branch out to Monte Carlo methods in finance, Monte Carlo methods in insurance, et cetera.
In any case, it would seem sensible to at least rename the current article Stochastic modelling (insurance), and for Stochastic modelling to either become a redirect or disambiguation page.
—DIV (128.250.80.15 (talk) 07:08, 8 August 2008 (UTC))Reply
Article moveed from "Stochastic modelling" to Stochastic modelling (insurance). Melcombe (talk) 16:32, 6 October 2008 (UTC)Reply
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The Vendor Solutions section has 2 problems that make it sound like a plug. First, it's factually incorrect. There is at least one other piece of software that can do stochastic modeling for all lines of insurance products: MoSeS. Second, it provides information about the company which is irrelevant to the subject of Stochastic Modeling. If I see no objections by tomorrow, I will remove.--Holshy (talk) 18:07, 10 April 2008 (UTC)Reply

DoneHolshy (talk) 16:39, 11 April 2008 (UTC)Reply

Basic definition

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This isn't a definition, it's flavour text. SpaceLem (talk) 13:27, 18 June 2008 (UTC)Reply


= Question

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Stochastic models also static. They dont need to model over time. e.g. a Bayes is a stochastic model? It has random variables but no explicit time element. —Preceding unsigned comment added by 81.101.143.230 (talk) 13:17, 29 August 2008 (UTC)Reply

Insurance industry “stochastic models” are commonly understood to be projection models -- where the projection period (t = 1 to n) is an independent variable. However, many other “statistical models” are also used in insurance, but typically for different purposes -- including Bayesian models. QuantAct (talk) 00:40, 31 January 2010 (UTC)Reply

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http://www.actuaries.org.uk/files/pdf/life_insurance/GN47notes_20050902.pdf —Preceding unsigned comment added by 80.128.244.212 (talk) 14:32, 10 January 2010 (UTC)Reply

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Just read a great article highlighting the trend of more stochastic modeling among current insurance investors. Came from the publication, Insurance Networking News: http://digital.insurancenetworkingnews.com/insurancenetworkingnews/201006#pg22

Kellerchch (talk) 17:12, 11 June 2010 (UTC)Reply