A quantile-copula approach to dependence between financial assets

  • Jong Min Kim
  • , Lucia Tabacu
  • , Hojin Jung*
  • *Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

Abstract

This article unveils the dependence structure between United States stock prices, crude oil prices, exchange rates, and U.S. interest rates. In particular, we employ linear and nonlinear estimation methods, such as quantile regression and the quantile-copula approach. Over the 1998–2017 period, we find that there is a positive relationship between the dollar value and the S&P 500 stock price, with the exception of the lower and upper tails of the stock return distribution. Further evidence is obtained on the dependence structure between other asset returns. The stock returns are negatively related to oil prices but positively to U.S. interest rates. Our results highlight the way that financial assets are linked, which have implications for risk management and monetary policy.

Original languageEnglish
Article number101066
JournalNorth American Journal of Economics and Finance
Volume51
DOIs
StatePublished - 2020.01

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

Keywords

  • Quantile regression
  • Quantile-copula
  • Tail dependence

Quacquarelli Symonds(QS) Subject Topics

  • Accounting & Finance
  • Economics & Econometrics

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