Artificial intelligence (AI) has significantly changed the supply chain process. In this study, we study the effects associated with AI automation of the retailer’s order decision in a decentralized supply chain comprising one supplier and one regretful retailer. In the absence of AI...

We study the time-varying nature of US monetary policies summarized by the Taylor rule based on a continuous-time regime-switching term structure model. In this model, the spot rate follows the Taylor rule and government bonds at different maturities are priced by no-arbitrage. We allow the...

We study sourcing decisions of price-setting and price-taking firms with two unreliable suppliers, where a price-setting firm sets the retail price after the supply uncertainty is resolved and a price-taking firm takes the retail price as given. We investigate the impacts of market conditions,...

We fit U.S. stock market volatilities on macroeconomic and financial market indicators and some industry level financial ratios. Stock market volatility is non-Gaussian distributed. It can be approximated by an inverse Gaussian (IG) distribution or it can be transformed by Box-Cox transformation...

In the context of the application of artificial intelligence in an intellectual property trading platform, the number of demanders and suppliers that exchange scarce resources is growing continuously. Improvement of computational power promotes matching efficiency significantly. It is necessary...

Purpose – The purpose of this paper is to document earnings management of Chinese firms. Design/methodology/approach – The paper takes advantage of the introduction of stringent delisting requirements around 2000 that non-cross-listed firms with consecutive earnings losses for more than two...