銘柄間相互相関に基づく金融危機の可視化と予測
書誌事項
- タイトル別名
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- Visualization and prediction of financial crisis by stock correlations
説明
<p>We attempt to visualize the collective behaviour of markets at financial crisis through cross-correlations between typical Japanese stocks by making use of multi-dimensional scaling. Then, we make a clustering of the scattered plots by minimizing the energy function of the so-called Potts spin-glasses having pair-wise interactions between spins (stocks) as correlation coefficients in stocks. We also propose a theoretical framework to predict several time-series simultaneously by using cross-correlations in financial markets. Our model system is basically described by a variant of the Ising model introduced by Kaizouji (2000). The justification and validity of our approaches are numerically examined for Japanese NIKKEI stocks around 11 March 2011, and for foreign currency exchange rates around Greek crisis in spring 2010.</p>
収録刊行物
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- 人工知能学会第二種研究会資料
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人工知能学会第二種研究会資料 2012 (FIN-008), 04-, 2012-01-28
一般社団法人 人工知能学会
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詳細情報 詳細情報について
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- CRID
- 1390294740098271744
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- ISSN
- 24365556
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
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- 抄録ライセンスフラグ
- 使用可