Bibliographic Information
- Other Title
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- ブル ソウバ ベア ソウバ ノ ベイズ ブンセキ
- A Bayesian Analysis of Bull and Bear Markets
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Abstract
type:text
This paper investigates Japanese "Bull and Bear" market using Markov switching models of Hamilton (1989) from the Bayesian view. Gordon and St-Amour (2000) suggests a theoretical model of bull-bear markets and empirical outcomes using monthly security data. Maheu and McCurdy (2000) and Pagen and Sossounov (2002) also use monthly data for their analysis. From the perspective of trading, we need a study of bull-bear markets using higher frequency data. In this paper, we use Markov switching model with 2, 3, and 4 states; the two states model has bull and bear states, the three states one has additional jump state, and four states one has upper and lower jumps. From the Bayesian model selection, the tree states model with is preferred. Also we find the GARCH effects are not negligible and the cycles of bull-bear terms are determined by hyper-parameters of the prior distributions of transition matrices.
欧文抄録: p.295
source:Economic journal of Chiba University
Journal
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- 千葉大学経済研究 = Economic journal of Chiba University
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千葉大学経済研究 = Economic journal of Chiba University 25 (2), 91-138, 2010-09
千葉大学経済学会
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Details 詳細情報について
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- CRID
- 1050851497141629184
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- NII Article ID
- 120007065568
- 40017384615
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- NII Book ID
- AN10005358
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- ISSN
- 09127216
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- NDL BIB ID
- 10895175
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- Text Lang
- ja
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- Article Type
- departmental bulletin paper
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- Data Source
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- IRDB
- NDL
- CiNii Articles
- KAKEN