Sephton (2020) demonstrated that nearly all national and relative CO2 emissions in a group of 33 nations were mean-reverting after making allowance for non-linear deterministics and first-order autocorrelation. This suggested that a permanent reduction in emissions could only be accomplished...

We consider estimation of a dynamic distribution regression panel data model with heterogeneous coefficients across units. The objects of interest are functionals of these coefficients including linear projections on unit level covariates. We also consider predicted actual and stationary...

Land finance is a special land financing mode in China under the nationalization of urban land since 1954. The policy authorizes local governments to collect fiscal revenue from land grant premiums and land taxes. As China is experiencing the social and economic transformation, heavily replying...

In asset pricing, most studies focus on finding new factors such as macroeconomic factors or firm characteristics to explain risk premium. Investigating whether these factors are useful in forecasting stock returns remains active research in the field of finance and computer science. This paper...

We introduce an ensemble learning method based on Gaussian Process Regression (GPR) for predicting conditional expected stock returns given stock-level and macro-economic information. Our ensemble learning approach significantly reduces the computational complexity inherent in GPR inference and...

Our study extends the existing literature by exploring the impact of three major risk and uncertainty indices on the Dow Jones Islamic Market (DJIM) World and the ten major sectoral Islamic equity indices. We also look at whether the sectoral indices differ from the global benchmark index...