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A review of research on tourism demand forecasting: Launching the Annals of Tourism Research Curated Collection on tourism demand forecasting
This study reviews 211 key papers published between 1968 and 2018, for a better
understanding of how the methods of tourism demand forecasting have evolved over time …
understanding of how the methods of tourism demand forecasting have evolved over time …
Has the tourism-led growth hypothesis been validated? A literature review
Over 10 years have passed since the first paper on the tourism-led growth hypothesis
(TLGH) was published in 2002. Since then, a wave of studies has appeared trying to …
(TLGH) was published in 2002. Since then, a wave of studies has appeared trying to …
Forecasting tourist arrivals with machine learning and internet search index
S Sun, Y Wei, KL Tsui, S Wang - Tourism Management, 2019 - Elsevier
Previous studies have shown that online data, such as search engine queries, is a new
source of data that can be used to forecast tourism demand. In this study, we propose a …
source of data that can be used to forecast tourism demand. In this study, we propose a …
The correlation between the stock market and Bitcoin during COVID-19 and other uncertainty periods
KQ Nguyen - Finance research letters, 2022 - Elsevier
This research examined the impact of the stock market on Bitcoin during COVID-19 and
other uncertainty periods. Based on the quantile regression results, during periods of high …
other uncertainty periods. Based on the quantile regression results, during periods of high …
Tourism demand forecasting with time series imaging: A deep learning model
To leverage computer vision technology to improve the accuracy of tourism demand
forecasting, a model based on deep learning with time series imaging is proposed. The …
forecasting, a model based on deep learning with time series imaging is proposed. The …
Daily tourism volume forecasting for tourist attractions
A novel approach based on long short-term memory (LSTM) networks that can incorporate
multivariate time series data, including historical tourism volume data, search engine data …
multivariate time series data, including historical tourism volume data, search engine data …
Correlations and volatility spillovers across commodity and stock markets: Linking energies, food, and gold
This paper employs a VAR-GARCH model to investigate the return links and volatility
transmission between the S&P 500 and commodity price indices for energy, food, gold and …
transmission between the S&P 500 and commodity price indices for energy, food, gold and …
On the impacts of oil price fluctuations on European equity markets: Volatility spillover and hedging effectiveness
The objective of this paper is to investigate the volatility spillovers between oil and stock
markets in Europe. As not all industries are expected to be equally affected by oil price …
markets in Europe. As not all industries are expected to be equally affected by oil price …
Tourism demand modelling and forecasting—A review of recent research
This paper reviews the published studies on tourism demand modelling and forecasting
since 2000. One of the key findings of this review is that the methods used in analysing and …
since 2000. One of the key findings of this review is that the methods used in analysing and …
Return and volatility transmission between world oil prices and stock markets of the GCC countries
This paper investigates the return links and volatility transmission between oil and stock
markets in the Gulf Cooperation Council (GCC) countries over the period 2005–2010. We …
markets in the Gulf Cooperation Council (GCC) countries over the period 2005–2010. We …