3 accepted papers
Asset pricing and portfolio recommendation are two closely related fundamental tasks in quantitative investment, for which machine learning methods have attracted significant attention in both academia and industry. In particular, nonlinear asset pricing models based on deep learning architectures t
Machine learning techniques have gained considerable attention in the field of empirical asset pricing. Conditioning on a broad set of firm characteristics, one of the most popular no-arbitrage workhorses is a nonlinear conditional asset pricing model that consists of two modules within a neural net
Jumping is an advantageous locomotion method to extend the motion range, overcome obstacles, and adapt to unstructured environments; however, it is challenging for robotic jumpers to simultaneously maintain structural compliance and achieve powerful, multidirectional jumping. This letter introduces