방한하는 외래관광객간 변동성의 동조화에 대한 연구

• 영문명: The Co-movements of Volatility among Tourist Arrivals in Korea
• 발행기관: 한국무역연구원
• 저자명: 김경수(Kyung-Soo Kim)
• 간행물 정보: 『무역연구』제10권 제4호, 563~580쪽, 전체 17쪽
• 주제분류: 경제경영 > 무역학
• 파일형태: PDF
• 발행일자: 2014.09.30

영문 초록

In this study, we examine the impact of changes in the market that model the volatility of inbound foreign tourists in Korea as well as what effect these changes have on other markets. Volatility of inbound foreign tourist arrivals was identified through ARFIMA, EGARCH, VAR and BEKK models. Findings revealed that after the financial crisis, the influence of its own in Korea was the largest in the conditional mean equation of the multivariate EGARCH model. The largest mean spillover effects from Korea to Japan were shown and in the conditional variance equation, the own volatility spillover effects were present in Korea and the US. Moreover, we showed the largest volatility of the spillover effects from the US to China. In addition, leverage and asymmetric effects existed between the US and Korea, and between Korea and China. Korea had the highest asymmetry from Korea to Japan. Other findings showed that after the financial crisis, in the conditional mean equation of the multivariate VAR model, the mean spillover effects were almost present. In the conditional variance equation of the multivariate BEKK model, there were indicators of strong volatility spillover effects of tourist arrivals from their own country, and from Japan to the US. Coefficients of GARCH showed the strong volatility spillover effects through the tourist arrivals. Asymmetric effects existed between China and Korea, from the US(Japan) to Korea, and from the US to China. Although the research methods and periods of tourists arrivals were different, the residual impact of changes or shock of the volatility on inbound foreign tourists in Korea affected the volatility of other markets and thus, co-movements of volatility were confirmed.

목차

Abstract

Ⅰ. 서론

Ⅱ. 연구방법

Ⅲ. 자료 및 예비분석

Ⅳ. 실증 결과

Ⅴ. 요약 및 결론

참고문헌

키워드

volatility spillover co-movements