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Investigating Nonlinearities in US Oil Markets using Threshold Cointegration

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  • 발행기관
    한국재무학회 바로가기
  • 간행물
    한국재무학회 학술대회 바로가기
  • 통권
    2012년 5개 학회 공동학술연구발표회 (2012.05)바로가기
  • 페이지
    pp.2669-2696
  • 저자
    Eunyoung Kim
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A243178

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원문정보

초록

영어
The nonlinearities of US oil markets(WTI crude oil, No 2 heating oil, and regular gasoline) has been investigated during the period after 2000 in terms of exploratory analysis, estimation, and in-sample prediction accuracy. Exploratory analysis showed the following findings. First, the mean returns of product oil markets were higher than those of WTI crude oil markets. Second, WTI crude oil markets has been turned into contango since 2004, and product oil markets showed earlier transition into contango than WTI crude oil markets. These phenomena can be related to the fact that the price trend in US oil markets had remained relatively unchanged without any big upward movements by then. Finally, in terms of arbitragers' investment behaviors by market conditions, WTI crude oil markets were targeted more frequently by arbitragers than product oil market and contango was favored by arbitragers than backwardation. These phenomena can be caused by the fact that buying spots and selling futures contracts under the contango is more feasible investment strategy than the opposite in reality. WTI crude oil and No 2 heating oil markets had an even composition of linear models and nonlinear ones as better estimation ones while regular gasoline markets tended to be better estimated with linear models. Prediction had a different story from estimation. Linear models had relatively better prediction accuracy across the sub-samples although nonlinear models had the same prediction accuracy as linear ones in the sub-samples except those of "Group 1".

목차

Abstract
 Ⅰ. Introduction
 Ⅱ. Research Methodologies
  1. Multiple structural change point detection: Bai and Perron(2003)
  2. Nonlinearity test
  3. Threshold Vector Error Correction Models(TVECM)
  4. The theoretical background for selecting basis as a threshold variable
  5. Cointegration test based on the 2-regime TVECM representation:Hansen and Seo(2002) test
 Ⅲ. Data
 Ⅳ. Empirical Analysis
  1. Stationarity test on the entire sample period
  2. The detection of structural break points
  3. Stationarity test
  4. Nonlinearity test and cointegration test
  5. Arbitragers' investment strategies
  6. Prediction accuracy comparison: Diebold and Mariano(1995) test
 Ⅴ. Conclusions
 References

키워드

US oil markets nonlinearity prediction accuracy comparison threshold cointegration

저자

  • Eunyoung Kim [ Part-time lecturer, Department of Statistics, Pusan National University ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국재무학회 [The Korean Finance Association]
  • 설립연도
    1988
  • 분야
    사회과학>경영학
  • 소개
    본 회는 재무학 및 이와 관련되는 분야를 발전시키며 회원 상호간의 친목 도모를 목적으로 한다.

간행물

  • 간행물명
    한국재무학회 학술대회
  • 간기
    부정기
  • 수록기간
    2006~2024
  • 십진분류
    KDC 325 DDC 330

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