Where do tourism tokens travel to and from?

被引:12
作者
Aharon, David Y. [1 ]
Demir, Ender [2 ,3 ]
Ersan, Oguz [4 ]
机构
[1] Ono Acad Coll, Fac Business Adm, Kiryat Ono, Israel
[2] Reykjavik Univ, Sch Social Sci, Dept Business Adm, Reykjavik, Iceland
[3] Tomas Bata Univ Zlin, Zlin, Czech Republic
[4] Kadir Has Univ, Fac Econ Adm & Social Sci, Dept Int Trade & Finance, Istanbul, Turkiye
关键词
Tourism tokens; tourism; connectedness; TVP-VAR; cryptocurrencies; C58; F36; G15; Z3; VOLATILITY SPILLOVERS; CONNECTEDNESS; STOCKS;
D O I
10.1080/13683500.2023.2237169
中图分类号
F [经济];
学科分类号
02 ;
摘要
This study aims to identify the sources of spillovers affecting tourism tokens and classify the type of assets to which they correspond. Using daily data for different asset classes from June 2018 through November 2022, we employ a TVP-VAR methodology to test the connectedness between two tourism tokens, two leading travel equity indices, and the two dominant cryptocurrencies, namely, Bitcoin and Ethereum. The findings show that tourism tokens are relatively independent of fluctuations in the traditional sources affecting the travel and leisure sector, such as the U.S. dollar, the price of oil, or travel equity indices. These results hint that tourism tokens are more closely related to cryptocurrencies rather than pure travel goods. The results may help decision-makers in the travel and hospitality industries considering the use of tourism tokens identify the potential forces impacting them.
引用
收藏
页码:2561 / 2583
页数:23
相关论文
共 51 条
[1]   Asymmetric efficiency and connectedness among green stocks, halal tourism stocks, cryptocurrencies, and commodities: Portfolio hedging implications [J].
Abdullah, Mohammad ;
Chowdhury, Mohammad Ashraful Ferdous ;
Sulong, Zunaidah .
RESOURCES POLICY, 2023, 81
[2]   How COVID-19 drives connectedness among commodity and financial markets: Evidence from TVP-VAR and causality-in-quantiles techniques [J].
Adekoya, Oluwasegun B. ;
Oliyide, Johnson A. .
RESOURCES POLICY, 2021, 70
[3]   Infection, invasion, and inflation: Recent lessons [J].
Aharon, David Y. ;
Qadan, Mahmoud .
FINANCE RESEARCH LETTERS, 2022, 50
[4]   NFTs and asset class spillovers: Lessons from the period around the COVID-19 pandemic [J].
Aharon, David Y. ;
Demir, Ender .
FINANCE RESEARCH LETTERS, 2022, 47
[5]   Dynamic spillovers between the term structure of interest rates, bitcoin, and safe-haven currencies [J].
Aharon, David Y. ;
Umar, Zaghum ;
Vo, Xuan Vinh .
FINANCIAL INNOVATION, 2021, 7 (01)
[6]   Will blockchain shift Online Travel Agencies toward growth or to an end? [J].
Ampountolas, Apostolos ;
Chiffer, Elizabeth .
TOURISM ECONOMICS, 2022, 28 (05) :1342-1347
[7]   Refined Measures of Dynamic Connectedness based on Time-Varying Parameter Vector Autoregressions [J].
Antonakakis, Nikolaos ;
Chatziantoniou, Ioannis ;
Gabauer, David .
JOURNAL OF RISK AND FINANCIAL MANAGEMENT, 2020, 13 (04)
[8]   Dynamic connectedness of uncertainty across developed economies: A time-varying approach [J].
Antonakakis, Nikolaos ;
Gabauer, David ;
Gupta, Rangan ;
Plakandaras, Vasilios .
ECONOMICS LETTERS, 2018, 166 :63-75
[9]   Measuring the Frequency Dynamics of Financial Connectedness and Systemic Risk [J].
Barunik, Jozef ;
Krehlik, Tomas .
JOURNAL OF FINANCIAL ECONOMETRICS, 2018, 16 (02) :271-296
[10]   Quantile connectedness in the cryptocurrency market [J].
Bouri, Elie ;
Saeed, Tareq ;
Xuan Vinh Vo ;
Roubaud, David .
JOURNAL OF INTERNATIONAL FINANCIAL MARKETS INSTITUTIONS & MONEY, 2021, 71