메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
이우리 (경기대학교) 이영광 (경기대학교)
저널정보
한국무역학회 무역학회지 貿易學會誌 第36卷 第3號
발행연도
2011.6
수록면
1 - 21 (21page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
This study analyzes the time series characteristics of daily Won/Yen exchange rate, using the time series data from April 1994 to February 2011, whether it has nonlinear dependency or not. It separates time period into the overall period and the normal period which excludes the two crisis periods, that is, 1997 currency crisis and 2008 global financial crisis. Daily time series exchange rate data was transformed into normal series by logarithmic transformation and differencing. First, according to the test result, auto-correlation analysis for the transformed series data shows that it has linear or non-linear dependence. Second, the analysis about the time series data transformed(AR residuals) from which linearity was removed shows that it has non-linear dependence, especially stronger in the whole period. Third, the test result about the series(AR-GARCH residuals) from which linearity and non-linear stochastic property were removed shows that it has non-linear dependence, especially in the whole period. Fourth, BDS test value of AR residuals is lowered than that of AR residuals in the whole period, but made no difference with the normal period. It implies that the non-linear series includes the non-linear relation, not stochastic relation.
However, we cannot conclude that it has the deterministic relation.
Therefore, the time series data of Won/Yen rate is estimated to have, to some extent, linear and nonlinear dependence, although the data and testing tool have some problems. However, we cannot say that such a non-linearity does not have non-linear determinacy, that is, chaotic characteristic.

목차

Ⅰ. 서론
Ⅱ. 일별 대일환율 자료의 특성 및 변환
Ⅲ. 일별 대엔 환율 계열의 선형 및 비선형 종속성 분석
Ⅳ. 결론
참고문헌
Abstract

참고문헌 (19)

참고문헌 신청

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2013-326-000658186