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Forecasting the Trend of Art Market

Author

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  • Mihaela-Eugenia VASILACHE

    (Ph.D. Student, School of Advanced Studies of the Romanian Academy (SCOSAAR) - Economic, Social and Legal Sciences Department)

Abstract

The paper discusses two different methods to forecasting the global index of Art Market: a Holt-Winters type exponential smoothing method for times series with additive components (time trend and seasonal variation) and a Seasonal Autoregressive Integrated Moving Average (SARIMA) model. Both methods point out that the decline of Art Market started in 2015 will continue in 2018 and 2019, and a slight recovery will be possible by 2020. We also presented a method for combining forecasts.

Suggested Citation

  • Mihaela-Eugenia VASILACHE, 2018. "Forecasting the Trend of Art Market," Computational Methods in Social Sciences (CMSS), "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences, vol. 6(1), pages 82-93, June.
    • Handle: RePEc:ntu:ntcmss:vol6-iss1-82-93
    as

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    File URL: http://cmss.univnt.ro/wp-content/uploads/vol/split/vol_VI_issue_1/CMSS_vol_VI_issue_1_art.007.pdf
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    References listed on IDEAS

    as
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