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Forecasting models for Taiwanese tourism demand after allowance for Mainland China tourists visiting Taiwan
16 references·0 citing·40 second hop
Forecasting models for Taiwanese tourism demand after allowance for Mainland China tourists visiting Taiwan (2014)Forecasting models for Taiwanese tourism …SVR with hybrid chaotic genetic algorithms for tourism demand forecasting (2010)SVR with hybrid chaotic genet…Forecasting tourism demand with ARMA-based methods (2008)Forecasting tourism demand wi…Tourism demand modelling and forecasting—A review of recent research (2007)Tourism demand modelling and …Support vector regression with genetic algorithms in forecasting tourism demand (2006)Support vector regression wit…A comparison between Fama and French's model and artificial neural networks in predicting the Chinese stock market (2004)A comparison between Fama and…Modeling and forecasting tourism demand for arrivals with stochastic nonstationary seasonality and intervention (2002)Modeling and forecasting tour…Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Genetic algorithms approach t…Back-propagation learning in improving the accuracy of neural network-based tourism demand forecasting (2000)Back-propagation learning in …A neural network model to forecast Japanese demand for travel to Hong Kong (1999)A neural network model to for…Review of international tourism demand models (1997)Review of international touri…Neural Network Time Series: Forecasting of Financial Markets (1994)Neural Network Time Series: F…Econometric Models and Economic Forecasts (1990)Econometric Models and Econom…Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model (1987)Estimating Time Varying Risk …Generalized autoregressive conditional heteroskedasticity (1986)Generalized autoregressive co…Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Autoregressive Conditional He…Accuracy of Forecasting: An Empirical Investigation (1979)Accuracy of Forecasting: An E…The Structure of Scientific Revolutions (1963)Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)On the psychology of prediction. (1973)ARMA Models and the Box-Jenkins Methodology (1997)Time series forecasts of international travel demand for Australia (2002)Forecasting and operational research: a review (2008)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Climate change and international tourism: A simulation study (2005)The role of transport infrastructure in international tourism development: A gravity model approach (2007)Analysis of international tourist arrivals in China: The role of World Heritage Sites (2009)Time Series Analysis: Forecasting and Control (1977)Industrial and business forecasting methods (1982)Forecasting tourism demand: A review of empirical research (1995)COVID–19’s Impact on Stock Prices Across Different Sectors—An Event Study Based on the Chinese Stock Market (2020)Forecasting tourism recovery amid COVID-19 (2021)Time Series Analysis: Forecasting and Control (1977)On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks (1993)Multivariate Simultaneous Generalized ARCH (1995)Time Series Analysis, Forecasting and Control. (1971)Forecasting Economic Time Series (2000)Social Media in Tourism and Hospitality: A Literature Review (2013)Progress and prospects for event tourism research (2015)Big data in tourism research: A literature review (2018)The Volatility of Long-Term Interest Rates and Expectations Models of the Term Structure (1979)Stock Returns and the Term Structure (1985)Simple Technical Trading Rules and the Stochastic Properties of Stock Returns (1992)Threshold heteroskedastic models (1994)The variation of certain speculative prices (1997)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)Econometric Analysis of Cross Section and Panel Data (2001)The Influence of Top Management Team Heterogeneity on Firms' Competitive Moves (1996)The analysis of household surveys (1997)Veto Players. How Political Institutions Work (2003)Financial time series forecasting model based on CEEMDAN and LSTM (2018)NSE Stock Market Prediction Using Deep-Learning Models (2018)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)Time Series Forecasting with Neural Networks: A Comparative Study Using the Air Line Data (1998)Combining neural network model with seasonal time series ARIMA model (2002)Forecasting stock market short-term trends using a neuro-fuzzy based methodology (2009)
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References

  • 1986Generalized autoregressive conditional heteroskedasticity22,329 cited
  • 1982Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation20,684 cited
  • 1990Econometric Models and Economic Forecasts4,945 cited
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  • 2000Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index758 cited
  • 1979Accuracy of Forecasting: An Empirical Investigation514 cited
  • 1994Neural Network Time Series: Forecasting of Financial Markets441 cited
  • 2002Modeling and forecasting tourism demand for arrivals with stochastic nonstationary seasonality and intervention424 cited
  • 2006Support vector regression with genetic algorithms in forecasting tourism demand378 cited
  • 2000Back-propagation learning in improving the accuracy of neural network-based tourism demand forecasting344 cited
  • 1999A neural network model to forecast Japanese demand for travel to Hong Kong309 cited
  • 2010SVR with hybrid chaotic genetic algorithms for tourism demand forecasting264 cited

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  • 2004A comparison between Fama and French's model and artificial neural networks in predicting the Chinese stock market220 cited
  • 2008Forecasting tourism demand with ARMA-based methods208 cited
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