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economics and financial markets, the effects of combining multiple news shocks on the volatility of tourism demand have not yet … GJRGARCH-FFNSs model is the best model for Malaysian tourism demand volatility forecasting accuracy. Furthermore, KLCI and Gold … asymmetry impacts on tourism demand volatility. …
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We present a detailed bubble analysis of the Bitcoin to US Dollar price dynamics from January 2012 to February 2018. We introduce a robust automatic peak detection method that classifies price time series into periods of uninterrupted market growth (drawups) and regimes of uninterrupted market...
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The global pandemic, coronavirus disease 2019 (COVID-19), has significantly affected tourism, especially in Spain, as …, being able to quantify this relationship allows us to predict the effect of the pandemic on shares in the tourism sector … developed to predict the behavior of shares in the Spanish tourism sector according to the evolution of the COVID-19 pandemic in …
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