Inference for Time-Varying Lead-Lag Relationships from Ultra High Frequency Data
書誌事項
- 公開日
- 2017
- 資源種別
- journal article
- DOI
-
- 10.2139/ssrn.2924301
- 10.1007/s42081-021-00106-2
- 公開者
- Elsevier BV
この論文をさがす
説明
<jats:title>Abstract</jats:title><jats:p>A new approach for modeling lead–lag relationships in high-frequency financial markets is proposed. The model accommodates non-synchronous trading and market microstructure noise as well as intraday variations of lead–lag relationships, which are essential for empirical applications. A simple statistical methodology for analyzing the proposed model is presented, as well. The methodology is illustrated by an empirical study to detect lead–lag relationships between the S&P 500 index and its two derivative products.</jats:p>
収録刊行物
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- SSRN Electronic Journal
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SSRN Electronic Journal 4 (1), 643-696, 2017
Elsevier BV
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詳細情報 詳細情報について
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- CRID
- 1361137045142190208
-
- NII論文ID
- 210000166878
-
- ISSN
- 15565068
- 25208764
- 25208756
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- 資料種別
- journal article
-
- データソース種別
-
- Crossref
- CiNii Articles
- KAKEN
- OpenAIRE
