2019
DOI: 10.1016/j.irfa.2019.06.007
|View full text |Cite
|
Sign up to set email alerts
|

Modeling local trends with regime shifting models with time-varying probabilities

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(1 citation statement)
references
References 26 publications
0
1
0
Order By: Relevance
“…Second, we emphasize the benefits of MS models with principal components and TVTP. Although MS models with time-varying transitions have been developed more than 25 years ago (Diebold et al 1994), there are only a handful of examples that apply these models in the context of bull and bear markets (e.g., Schaller and Norden 1997;Maheu and McCurdy 2000;Guidolin and Hyde 2012;Kole and van Dijk 2017;Focardi et al 2019). The few existing papers that include macro-financial variables in the transition equation provide rather disappointing results.…”
Section: Introductionmentioning
confidence: 99%
“…Second, we emphasize the benefits of MS models with principal components and TVTP. Although MS models with time-varying transitions have been developed more than 25 years ago (Diebold et al 1994), there are only a handful of examples that apply these models in the context of bull and bear markets (e.g., Schaller and Norden 1997;Maheu and McCurdy 2000;Guidolin and Hyde 2012;Kole and van Dijk 2017;Focardi et al 2019). The few existing papers that include macro-financial variables in the transition equation provide rather disappointing results.…”
Section: Introductionmentioning
confidence: 99%