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This paper mainly examines the nonlinear dynamics in the price series of the Chinese art market segments over the period from 2000 and 2018. We employ the hedonic price model to construct price indices of the Chinese art market segments and then investigate the nonlinearities and regime switching properties of individual art segment by a series of Markov switching model specifications. We argue that occasional shocks would only temporarily alter their data generating processes and have transitory rather than permanent effects. Our findings have implications for market participants in identifying the price characteristics and dynamic behaviors of art market segments.
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Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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