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Tokyo Stock Exchange Co-Location dataset
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heterogeneous autoregressive model
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high-frequency traders
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random forest method
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realized volatility
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2012-2019
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Aktienmarkt
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Forecasting model
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Hamori, Shigeyuki
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Higashide, Takuo
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Journal of Risk and Financial Management
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Journal of risk and financial management : JRFM
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New dataset for forecasting realized volatility: Is the Tokyo stock exchange co-location dataset helpful for expansion of the heterogeneous autoregressive model in the Japanese stock market?
Higashide, Takuo
;
Tanaka, Katsuyuki
;
Kinkyo, Takuji
; …
- In:
Journal of Risk and Financial Management
14
(
2021
)
5
,
pp. 1-18
full-board dataset and market volume dataset based on the
random
forest
method
, which is a popular machine learning …
Persistent link: https://www.econbiz.de/10012611772
Saved in:
2
New dataset for forecasting realized volatility : is the Tokyo stock exchange co-location dataset helpful for expansion of the heterogeneous autoregressive model in the Japanese stock market?
Higashide, Takuo
;
Tanaka, Katsuyuki
;
Kinkyō, Takuji
; …
- In:
Journal of risk and financial management : JRFM
14
(
2021
)
5
,
pp. 1-18
full-board dataset and market volume dataset based on the
random
forest
method
, which is a popular machine learning …
Persistent link: https://www.econbiz.de/10012534623
Saved in:
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