This paper proposes a two-state Markov-switching model for stock market returns in which the state-dependent expected returns, their variance and associated regime-switching dynamics are allowed to respond to market information. More specifically, we apply this model to examine the explanatory...

Using weekly stock-bond correlations estimated with high-frequency data, the authors find that a lower (more negative) stock-bond correlation forecasts falling 10-year interest rates over the coming weeks, and it also forecasts a falling 1-year interest rates over the next year. The reverse is...

Using weekly stock-bond correlations estimated with high-frequency data, the authors find that a lower (more negative) stock-bond correlation forecasts falling 10 -year interest rates over the coming weeks, and it also forecasts a falling 1-year interest rates over the next year. The reverse is...

This article takes the defaulted bonds as the research object, uses the structural break points of bond prices as the benchmark, and the days of the largest rating downgrade or the first downgrade or negative rating outlook as the time of rating adjustment. The number of days between the two can...

A thorough assessment and diagnosis is critical for understating and enhancing building energy performance while most buildings cannot provide sufficient energy use data for a detailed diagnosis. This paper presents a multi-level energy performance diagnosis method for energy information-poor...

A district cooling system supplies cooling to a group of buildings in a district. It has been widely used for its high energy and economic performance, especially in Asian and European countries. It is supposed that a district cooling system can achieve good performance when used in the...

With increasing use and integration of renewable energies, power imbalance between supply and demand sides has become one of the most critical issues in developing smart grid. As the major power consumers at demand side, buildings can actually perform as distributed thermal storages to help...

This paper presents a data mining (DM) based approach to developing ensemble models for predicting next-day energy consumption and peak power demand, with the aim of improving the prediction accuracy. This approach mainly consists of three steps. Firstly, outlier detection, which merges feature...

This study presents a model-based control strategy for a novel dedicated outdoor air-chilled ceiling (DOAS-CC) system with the aim of optimizing the overall system performance. The DOAS-CC system incorporates liquid desiccant dehumidification and membrane-based total heat recovery technologies....