2017
DOI: 10.18488/journal.aefr/2017.7.1/102.1.81.98
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The Power of a Leading Indicators Fluctuation Trend for Forecasting Taiwans Real Estate Business Cycle: An Application of a Hidden Markov Model

Abstract: This paper employ the discrete hidden Markov model (HMM) in order to Contribution/ OriginalityThis paper uses the HMM to capture the optimal path of state transition to observe the trends of fluctuations of out-of-sample data. The results confirm that trends of the real estate business cycle fluctuations are asymmetric and that the average duration of recession periods is longer than that of expansion periods.

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Cited by 2 publications
(1 citation statement)
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“…Other factors affecting housing prices include fluctuation trends of the real estate market (Wu et al, 2017;Hui, 2013;Bates & Santerre, 2016;Miao et al, 2020;Annette et al, 2018), noise, air quality, homebuyer identity and their psychological behavior and homebuying preferences, length of residence, average household income, neighbor satisfaction (Zangerle, 1927), earthquake-related risks in the area, access to administrative and parking areas (Wang & Chen, 2018), housing location, maintenance level, number of sales (Aliyev et al, 2019), and access to public services (Li et al, 2019). In addition to housing characteristics and convenience in daily life, other factors of influence are the real estate cycle (Wu et al, 2017;Hong et al, 2015;Hui, 2013;Bates & Santerre, 2016;Miao et al, 2020;Annette et al, 2018), noise conditions (Bré card et al, 2018), real estate market environment, homebuyer identity and their psychological behavior and homebuying preferences (Chen et al, 2012), urban infrastructure (Liu et al, 2020), housing affordability (Seo et al, 2018), socioeconomic characteristics, neighborhood quality, and location factors (Keskin, 2008).…”
Section: Other Factors Affecting Housing Pricesmentioning
confidence: 99%
“…Other factors affecting housing prices include fluctuation trends of the real estate market (Wu et al, 2017;Hui, 2013;Bates & Santerre, 2016;Miao et al, 2020;Annette et al, 2018), noise, air quality, homebuyer identity and their psychological behavior and homebuying preferences, length of residence, average household income, neighbor satisfaction (Zangerle, 1927), earthquake-related risks in the area, access to administrative and parking areas (Wang & Chen, 2018), housing location, maintenance level, number of sales (Aliyev et al, 2019), and access to public services (Li et al, 2019). In addition to housing characteristics and convenience in daily life, other factors of influence are the real estate cycle (Wu et al, 2017;Hong et al, 2015;Hui, 2013;Bates & Santerre, 2016;Miao et al, 2020;Annette et al, 2018), noise conditions (Bré card et al, 2018), real estate market environment, homebuyer identity and their psychological behavior and homebuying preferences (Chen et al, 2012), urban infrastructure (Liu et al, 2020), housing affordability (Seo et al, 2018), socioeconomic characteristics, neighborhood quality, and location factors (Keskin, 2008).…”
Section: Other Factors Affecting Housing Pricesmentioning
confidence: 99%