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Effect of seasonality treatment on the forecasting performance of tourism demand models

Shen, Shujie; Li, Gang; Song, Haiyan - In: Tourism economics : the business and finance of tourism … 15 (2009) 4, pp. 693-708

Persistent link: https://www.econbiz.de/10003953263

Is the time-varying parameter model the preferred approach to tourism demand forecasting? : statistical evidence

Shen, Shujie; Li, Gang; Song, Haiyan - In: Advances in tourism economics : new developments, (pp. 107-120). 2009

Persistent link: https://www.econbiz.de/10003943728

New developments in tourism and hotel demand modeling and forecasting

Wu, Chenguang; Song, Haiyan; Shen, Shujie - In: International journal of contemporary hospitality management 29 (2017) 1, pp. 507-529

Persistent link: https://www.econbiz.de/10011611280

Forecasting seasonal tourism demand using a multiseries structural time series method

Chen, Jason Li; Li, Gang; Wu, Chenguang; Shen, Shujie - In: Journal of travel research : a quarterly publication of … 58 (2019) 1, pp. 92-103

Persistent link: https://www.econbiz.de/10011982242

How well can ChatGPT forecast tourism demand?

Wu, Chenguang; Liu, Wenjia; Wu, Ji; Hu, Mingming; Shen, … - In: Tourism management : research, policies, practice 108 (2025), pp. 1-14

Persistent link: https://www.econbiz.de/10015337405

A new pricing approach for SME loans issued by commercial banks based on credit score mapping and Archimedean Copula simulation

Liu, Chang; Shi, Haoming; Cai, Yujun; Shen, Shu; Lin, … - In: Journal of business economics and management 20 (2019) 4, pp. 618-632

The traditional loans pricing methods are usually based on risk measures of individual loan's characteristics without considering the correlation between the defaults of different loans and the contribution of individual loans to the entire loan portfolio. In this study, using account-level...

Persistent link: https://www.econbiz.de/10012175768

Modelling opportunity cost effects in money demand due to openness

Van Huellen, Sophie; Qin, Duo; Lu, Shan; Wang, Huiwen; … - In: International journal of finance & economics : IJFE 27 (2022) 1, pp. 697-744

Persistent link: https://www.econbiz.de/10012814857