We adopt Schwartz and Smith’s model (2000) to calculate risk measures of Brent oil futures contracts and light sweet crude oil (WTI) futures contracts and Mirantes, Poblacion and Serna’s model (2012) to calculate risk measures of natural gas futures contracts, gasoil futures contracts,...

We introduce a new type of heavy-tailed distribution, the normal reciprocal inverse Gaussian distribution (NRIG), to the GARCH and Glosten-Jagannathan-Runkle (1993) GARCH models, and compare its empirical performance with two other popular types of heavy-tailed distribution, the Student's t...

Empirical evidence shows that house prices are highly volatile and closely correlated with the business cycle, and the fact is at odds with the evidence that rental prices are relatively stable and almost uncorrelated with the business cycle. To explain the fact, we introduce information...

Empirical evidence shows that house prices are highly volatile and closely correlated with the business cycle, and the fact is at odds with the evidence that rental prices are relatively stable and almost uncorrelated with the business cycle. To explain the fact, we introduce information...

The recent financial crisis has witnessed the importance of the housing markets in macroeconomic fluctuations. We investigate the correlation between housing dynamics and the business cycle for a variety of countries. Our empirical results confirm the two daunting facts faced by lots of...

Standard international real business cycle (IRBC) models formulated by Backus, Kehoe, and Kydland (BKK, 1992) have been considered a natural starting point to assess the quantitative implications of dynamic stochastic general equilibrium (DSGE) models in an open economy environment. Since the...

A well-known issue associated with linear time-series models is the so-called spurious regression problem when the variables are non-stationary. To cure this issue, one usually differences the data first, tests the stationarity of the first differences, and then runs regressions on the revised...