Trends and Volatilities in Heterogeneous Patent Quality in Taiwan
This study analyzes patent trends and volatilities for three heterogeneous quality patents in the Taiwan patent system from January 1973 to June 2006. The estimated models are symmetric GARCH (1,1) and asymmetric EGARCH (1,1), providing full sample, rolling sample, and out-of-sample evidence. Three...
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Universidad Alberto Hurtado. Facultad de Economía y Negocios
2009
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oai:scielo:S0718-272420090002000062009-09-23Trends and Volatilities in Heterogeneous Patent Quality in TaiwanLu,Wen-ChengChen,Jong-RongTung,I-Hsuan patent trends quality patents Taiwan This study analyzes patent trends and volatilities for three heterogeneous quality patents in the Taiwan patent system from January 1973 to June 2006. The estimated models are symmetric GARCH (1,1) and asymmetric EGARCH (1,1), providing full sample, rolling sample, and out-of-sample evidence. Three different patent types exhibit increasing trends, using monthly time series data from our samples. New design patents also show time-varying volatility but other types of patents fail to reject the ARCH LM test. Findings show the asymmetric EGARCH (1,1) model suitable for new design patent type through out of sample forecasts. management.info:eu-repo/semantics/openAccessUniversidad Alberto Hurtado. Facultad de Economía y NegociosJournal of technology management & innovation v.4 n.2 20092009-07-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-27242009000200006en10.4067/S0718-27242009000200006 |
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patent trends quality patents Taiwan |
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patent trends quality patents Taiwan Lu,Wen-Cheng Chen,Jong-Rong Tung,I-Hsuan Trends and Volatilities in Heterogeneous Patent Quality in Taiwan |
description |
This study analyzes patent trends and volatilities for three heterogeneous quality patents in the Taiwan patent system from January 1973 to June 2006. The estimated models are symmetric GARCH (1,1) and asymmetric EGARCH (1,1), providing full sample, rolling sample, and out-of-sample evidence. Three different patent types exhibit increasing trends, using monthly time series data from our samples. New design patents also show time-varying volatility but other types of patents fail to reject the ARCH LM test. Findings show the asymmetric EGARCH (1,1) model suitable for new design patent type through out of sample forecasts. management. |
author |
Lu,Wen-Cheng Chen,Jong-Rong Tung,I-Hsuan |
author_facet |
Lu,Wen-Cheng Chen,Jong-Rong Tung,I-Hsuan |
author_sort |
Lu,Wen-Cheng |
title |
Trends and Volatilities in Heterogeneous Patent Quality in Taiwan |
title_short |
Trends and Volatilities in Heterogeneous Patent Quality in Taiwan |
title_full |
Trends and Volatilities in Heterogeneous Patent Quality in Taiwan |
title_fullStr |
Trends and Volatilities in Heterogeneous Patent Quality in Taiwan |
title_full_unstemmed |
Trends and Volatilities in Heterogeneous Patent Quality in Taiwan |
title_sort |
trends and volatilities in heterogeneous patent quality in taiwan |
publisher |
Universidad Alberto Hurtado. Facultad de Economía y Negocios |
publishDate |
2009 |
url |
http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-27242009000200006 |
work_keys_str_mv |
AT luwencheng trendsandvolatilitiesinheterogeneouspatentqualityintaiwan AT chenjongrong trendsandvolatilitiesinheterogeneouspatentqualityintaiwan AT tungihsuan trendsandvolatilitiesinheterogeneouspatentqualityintaiwan |
_version_ |
1714203193720700928 |