Does higher-frequency data always help to predict longer-horizon volatility?

10.21314/JOR.2017.360

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Main Authors: Charoenwong, B, Feng, G
Other Authors: FINANCE
Format: Article
Published: Infopro Digital Services Ltd 2021
Online Access:https://scholarbank.nus.edu.sg/handle/10635/193704
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-1937042024-04-04T00:33:28Z Does higher-frequency data always help to predict longer-horizon volatility? Charoenwong, B Feng, G FINANCE 10.21314/JOR.2017.360 Journal of Risk 19 5 55-75 2021-07-06T01:44:51Z 2021-07-06T01:44:51Z 2017-06-01 2021-07-05T07:48:00Z Article Charoenwong, B, Feng, G (2017-06-01). Does higher-frequency data always help to predict longer-horizon volatility?. Journal of Risk 19 (5) : 55-75. ScholarBank@NUS Repository. https://doi.org/10.21314/JOR.2017.360 17552842 14651211 https://scholarbank.nus.edu.sg/handle/10635/193704 Infopro Digital Services Ltd Elements
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description 10.21314/JOR.2017.360
author2 FINANCE
author_facet FINANCE
Charoenwong, B
Feng, G
format Article
author Charoenwong, B
Feng, G
spellingShingle Charoenwong, B
Feng, G
Does higher-frequency data always help to predict longer-horizon volatility?
author_sort Charoenwong, B
title Does higher-frequency data always help to predict longer-horizon volatility?
title_short Does higher-frequency data always help to predict longer-horizon volatility?
title_full Does higher-frequency data always help to predict longer-horizon volatility?
title_fullStr Does higher-frequency data always help to predict longer-horizon volatility?
title_full_unstemmed Does higher-frequency data always help to predict longer-horizon volatility?
title_sort does higher-frequency data always help to predict longer-horizon volatility?
publisher Infopro Digital Services Ltd
publishDate 2021
url https://scholarbank.nus.edu.sg/handle/10635/193704
_version_ 1795374654746001408