Cookies?
Library Header Image
LSE Research Online LSE Library Services

Continuous-time perpetuities and time reversal of diffusions

Kardaras, Constantinos ORCID: 0000-0001-6903-4506 and Robertson, Scott (2017) Continuous-time perpetuities and time reversal of diffusions. Finance and Stochastics, 21 (1). pp. 65-110. ISSN 0949-2984

[img]
Preview
PDF - Published Version
Available under License Creative Commons Attribution.

Download (1MB) | Preview
Identification Number: 10.1007/s00780-016-0308-0

Abstract

We consider the problem of estimating the joint distribution of a continuous-time perpetuity and the underlying factors which govern the cash flow rate, in an ergodic Markovian model. Two approaches are used to obtain the distribution. The first identifies a partial differential equation for the conditional cumulative distribution function of the perpetuity given the initial factor value, which under certain conditions ensures the existence of a density for the perpetuity. The second (and more general) approach, using techniques of time reversal, identifies the joint law as the stationary distribution of an ergodic multidimensional diffusion. This latter approach allows efficient use of Monte Carlo simulation, as the distribution is obtained by sampling a single path of the reversed process.

Item Type: Article
Official URL: http://link.springer.com/journal/780
Additional Information: © 2016 The Authors © CC BY 4.0
Divisions: Statistics
Subjects: H Social Sciences > HA Statistics
JEL classification: G - Financial Economics > G1 - General Financial Markets > G12 - Asset Pricing; Trading volume; Bond Interest Rates
G - Financial Economics > G1 - General Financial Markets > G13 - Contingent Pricing; Futures Pricing
G - Financial Economics > G2 - Financial Institutions and Services > G22 - Insurance; Insurance Companies
Date Deposited: 18 Aug 2016 08:57
Last Modified: 01 Oct 2024 03:44
URI: http://eprints.lse.ac.uk/id/eprint/67495

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics