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Is Small Beautiful? Size Effects of Volatility Spillovers for Firm Performance and Exchange Rates in Tourism

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Abstract

This paper examines the size effects of volatility spillovers for firm performance and exchange rates with asymmetry in the Taiwan tourism industry. The analysis is based on two conditional multivariate models, BEKK-AGARCH and VARMA-AGARCH, in the volatility specification. Daily data from 1 July 2008 to 29 June 2012 for 999 firms are used, which covers the Global Financial Crisis. The empirical findings indicate that there are size effects on volatility spillovers from the exchange rate to firm performance. Specifically, the risk for firm size has different effects from the three leading tourism sources to Taiwan, namely USA, Japan, and China. Furthermore, all the return series reveal quite high volatility spillovers (at over sixty percent) with a one-period lag. The empirical results show a negative correlation between exchange rate returns and stock returns. However, the asymmetric effect of the shock is ambiguous, owing to conflicts in the significance and signs of the asymmetry effect in the two estimated multivariate GARCH models. The empirical findings provide financial managers with a better understanding of how firm size is related to financial performance, risk and portfolio management strategies that can be used in practice.

Suggested Citation

  • Chia-Lin Chang & Hui-Kuang Hsu & Michael McAleer, 2013. "Is Small Beautiful? Size Effects of Volatility Spillovers for Firm Performance and Exchange Rates in Tourism," Working Papers in Economics 13/04, University of Canterbury, Department of Economics and Finance.
    • Handle: RePEc:cbt:econwp:13/04
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    1. Chia-Lin Chang & Allen, David & McAleer, Michael, 2013. "Recent developments in financial economics and econometrics: An overview," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 217-226.
    2. Rupika Khanna & Chandan Sharma & Abhay Pant, 2022. "COVID-19, firm characteristics and stock volatility: new evidence from the Indian tourism sector," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 19(6), pages 1563-1585, October.
    3. Bosupeng, Mpho, 2015. "The Impossible Trinity and Financial Markets – An Examination of Inflation Volatility Spillovers," MPRA Paper 77923, University Library of Munich, Germany, revised 2015.
    4. Mitra, Subrata Kumar & Chattopadhyay, Manojit & Jana, R.K., 2019. "Spillover analysis of tourist movements within Europe," Annals of Tourism Research, Elsevier, vol. 79(C).
    5. Chien-Chiang Lee & Mei-Ping Chen, 2022. "The impact of COVID-19 on the travel and leisure industry returns: Some international evidence," Tourism Economics, , vol. 28(2), pages 451-472, March.
    6. Ali, Jabir, . "Performance of small and medium-sized food and agribusiness enterprises: evidence from Indian firms," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 19(4).
    7. Chang, Chia-Lin & Hsu, Hui-Kuang & McAleer, Michael, 2014. "The impact of China on stock returns and volatility in the Taiwan tourism industry," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 381-401.
    8. Chien-Chiang Lee & Mei-Ping Chen & Yi-Ting Peng, 2021. "Tourism development and happiness: International evidence," Tourism Economics, , vol. 27(5), pages 1101-1136, August.
    9. Beladi, Hamid & Chao, Chi Chur & Hu, May, 2016. "Another January effect—Evidence from stock split announcements," International Review of Financial Analysis, Elsevier, vol. 44(C), pages 123-138.
    10. Yu, Lin & Liu, Xiaoquan & Fung, Hung-Gay & Leung, Wai Kin, 2020. "Size and value effects in high-tech industries: The role of R&D investment," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    11. G l ah Gen er elik, 2020. "Volatility Modelling for Tourism Sector Stocks in Borsa Istanbul," International Journal of Economics and Financial Issues, Econjournals, vol. 10(3), pages 158-165.
    12. Shi, Yanlin & Ho, Kin-Yip & Liu, Wai-Man, 2016. "Public information arrival and stock return volatility: Evidence from news sentiment and Markov Regime-Switching Approach," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 291-312.

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    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics

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