While previous studies investigate the determinants of housing prices when the seller chooses between an English auction and negotiation, this paper allows sellers to choose among negotiation, English auction, and first-price sealed-bid auction (i.e., tender) by employing a sample of 46,600...

Modeling futures market risk simultaneously influenced by macro low-frequency information and daily risk factors is a valuable challenge. We propose a new general framework for it based on the flexible GARCH-MIDAS model. It uses a skewed t distribution to describe the asymmetry of long and short...

Purpose House price fluctuations send vital signals to many parts of the economy, and long-term predictions of house prices are of great interest to governments and property developers. Although predictive models based on economic fundamentals are widely used, the common requirement for such...

Purpose This paper aims to develop a house price forecasting model to investigate the impact of neighbourhood effect on property value. Design/methodology/approach Multi-level modelling (MLM) method is used to develop the house price forecasting models. The neighbourhood effects, that is,...

We provide a closer look at the trading dynamics which may give rise to the positive relationship between market trading volume and its lagged returns. Chinese market turnover increases sharply with past day returns. A comprehensive dataset which facilitates the tracing of trading activities...