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Spot–futures price adjustments in the Nikkei 225: linear or smooth transition? Financial centre leadership or home bias?

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posted on 2023-02-16, 09:59 authored by Jieye Qin, Christopher Green, Kavita SirichandKavita Sirichand
This paper studies price discovery in Nikkei 225 markets through the nonlinear smooth transition price adjustments between spot and future prices and across all three futures markets. We test for smooth transition nonlinearity and employ an exponential smooth transition error correction model (ESTECM) with exponential generalised autoregressive conditional heteroscedasticity (EGARCH), allowing for the effects of transaction costs, heterogeneity, and asymmetry in Nikkei price adjustments. We show that the ESTECM-EGARCH is the appropriate model as it offers new insights into Nikkei price dynamics and information transmission across international markets. For spot–futures price dynamics, we find that futures led spot prices before the crisis, but spot prices led afterwards. This can be explained by the lower level of heterogeneity in the underlying spot transaction costs after the crisis. For cross-border futures prices, the foreign exchanges (Chicago and Singapore) lead in price discovery, which can be attributed to their roles as global information centres and their flexible trading conditions, such as a more heterogeneous structure of transaction costs. The foreign leadership is robust to the use of linear or nonlinear models, the time differences between Chicago and the other markets, and the long-run liquidity conditions of the Nikkei futures markets, and strongly supports the international centre hypothesis.

Funding

Anhui Jianzhu University, grant number 2018QD03

Natural Science Foundation of Anhui Province, China, grant number 2008085QG347

History

School

  • Business and Economics

Department

  • Business

Published in

Journal of Risk and Financial Management

Volume

16

Issue

2

Publisher

MDPI

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Acceptance date

2023-02-08

Publication date

2023-02-12

Copyright date

2023

eISSN

1911-8074

Language

  • en

Depositor

Dr Kavita Sirichand. Deposit date: 15 February 2023

Article number

117

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