The Behavioral Mechanism and Forecasting of Beijing Housing Prices from a Multiscale Perspective

Table 5

Measures of three composed components of house prices.

	Mean period (month)	Pearson correlation	Kendall correlation	Variance	Variance as (%) of observations	Variance as % of ( + residual)
Observed				1.339  10^8
High	3.08	0.101	0.062	3.072  10^6	2.294	2.270%
Low	41.77	0.231	−0.025	5.171  10^6	3.862	3.821%
Trend		0.973	0.891	1.271  10^8	94.922	93.910%
Total					101.078	100%

Note. High, low, and trend mean high-frequency, low-frequency, and trend components, respectively. Correlation is significant at the 0.01 level (two-tailed).