We investigate the spillover of industry effect in Taiwan stock market. Using a generalized vector autoregressive where forecast-error variance decompositions are invariant to variable ordering, we objectively propose measures of both total and directional spillovers on return and volatility daily data. In full-sample analysis, there is a heavy spillover effect in the interaction between stock market and industries. The stock market acts as a receiver from the information diffused from the industries, but the industries could not be confirmed as spillover outputer or inputer. The rolling-sample findings also pinpoint the high spillovers during the financial events. Finally, conducting the robustness test, we divide the sample periods into subperiods and switch the daily data toward weekly and monthly data, then obtaining the consistent results with prior inference.

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