A class of semiparametric fractional autoregressive GARCH models (SEMIFAR-GARCH), which includes deterministic trends, difference stationarity and stationarity with short- and long-range dependence, and heteroskedastic model errors, is very powerful for modelling financial time series. This...

A new multivariate random walk model with slowly changing parameters is introduced and investigated in detail. Nonparametric estimation of local covariance matrix is proposed. The asymptotic distributions, including asymptotic biases, variances and covariances of the proposed estimators are...

We present new autoregressive logit models for forecasting the probability of a time series of financial asset returns exceeding a threshold. The models can be estimated by maximizing a Bernoulli likelihood. Alternatively, to account for the extent to which an observation does or does not exceed...

Recent empirical work suggests that urbanization and residential CO2 emissions are related. This paper investigates the nonlinear impact of urbanization on residential CO2 emissions over the period 1997–2011 in China by applying the Candelon et al. (2012) methodology. The results show that the...

Combining the characteristics of BM direction distance function, non- radial DEA model and Luenberger productivity indicators, we develop a non-radial BML-DEA model to measure Environmental Performance. And by using the panel data of 30 provinces from 1997 to 2011 in China, we measure and...

In this paper,we divide fixed capital stock into domestic fixed capital stock and foreign fixed capital stock (FDI stock), then by consideration of the environmental deletion, we make use of the BM productivity index to decompose the source of economic growth from 1998 to 2011. The findings show...

Combining the characteristics of GM direction distance function, non- radial DEA model and Luenberger productivity indicators, we develop a non-radial global DEA model to measure eco-performance of different regions. Using the data from 1995 to 2011 of 30 provinces, we have calculated the...

This paper dynamically extends the noise trading model (DSSW model) via describing the limited rational investors’ sentiment more specifically, and using the bipolar sigmoid activation function in the neural network system to depict noise traders’ overreaction to the past changes of...

In this research, we study a general multi-period inventory model for a buyer and his supplier. We propose an adjustment contract to allow the buyer to adjust his inventory levels upwards or downwards. Thus, the buyer has more flexibility in inventory control so as to reduce his inventory risk....