We propose a game-theoretic framework that incorporates both incomplete information and general ambiguity attitudes on factors external to all players. Our starting point is players' preferences on return-distribution vectors, essentially mappings from states of the world to distributions of...

We study a non-traditional cooperative game where returns from coalitions are nondeterministic. The long-standing concept of core can be generalized to reflect players' contentment with their allocations. It is now imperative to formalize the restrictions, such as those pertaining to...

The proliferation of online advertising not only brings new opportunities for advertisers to reach the consumers but also allows them to efficiently track large-scale individual-level data on ad exposures and conversions. Moreover, ad campaigns leveraging both online and offline media platforms...

We examine the price discovery performance of China’s crude oil futures traded on the Shanghai International Energy Exchange (INE) for the spot prices of 19 types of deliverable and non-deliverable Asian crude oil. We find evidence for the INE crude oil futures price discovery function even at...

We take a mainly inventory-control angle in our attempt to understand the roles played by opaque selling. While facing demands for two closely-related products, the seller in our model can also use price discounts and more guaranteed availabilities to entice buyers into accepting...

Proposing and applying a new spillover index approach based on data-determined structural vector autoregression to measure connectedness, we examine the daily housing market information transmission via transaction volume among Chinese city-level housing markets from 2009 to 2018. We document...

Applying a proposed spillover index of high-dimensional generalized VAR framework, this paper, for the first time, explores housing price spillovers among 69 large- and medium-sized Chinese cities from July 2005 to June 2015. We find that city-level monthly housing prices in China are highly...