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Stationary processes that look like random walks : the bounded random walk process in discrete and continuous time

dc.contributor.authorNicolau, João
dc.date.accessioned2023-04-06T13:47:00Z
dc.date.available2023-04-06T13:47:00Z
dc.date.issued2002
dc.description.abstractSeveral economic and financial time series are bounded by an upper and lower finite limit (e.g., interest rates). It is not possible to say that these time series are random walks because random walks are limitless with probability one (as time goes to infinity). Yet, some of these time series behave just like random walks. In this paper we propose a new approach that takes into account these ideas. We propose a discrete-time and a continuous-time process (diffusion process) that generate bounded random walks. These paths are almost indistinguishable from random walks, although they are stochastically bounded by an upper and lower finite limit. We derive for both cases the ergodic conditions, and for the diffusion process we present a closed expression for the stationary distribution. This approach suggests that many time series with random walk behavior can in fact be stationarity processes.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationNicolau, João .(2002). “Stationary processes that look like random walks - the bounded random walk process in discrete and continuous time”. Econometric Theory, Vol. 18: pp. 99–118. (Search PDF in 2023).pt_PT
dc.identifier.issn0266-4666
dc.identifier.urihttp://hdl.handle.net/10400.5/27597
dc.language.isoengpt_PT
dc.publisherCambridge University Presspt_PT
dc.subjectFinancial Economicspt_PT
dc.subjectStochastic Differential Equationspt_PT
dc.subjectConditional Heteroskedasticypt_PT
dc.subjectStationary Processespt_PT
dc.titleStationary processes that look like random walks : the bounded random walk process in discrete and continuous timept_PT
dc.typejournal article
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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