Software companies have steadily become key pillars of the digital economy, representing upwards of 12 percent of U.S. market capitalization. A simple buy-and-hold strategy of pure-play software companies over the past three decades produced annual alphas of over 7.1 percent. We document that...

The credit scoring industry has a long tradition of using statistical models for loan default probability prediction. Since this time methodology has strongly evolved, and most of the current research is dedicated to modern machine learning algorithms which contrasts with common practice in the...

Artificial Intelligence regulatory developments have been ever-increasing in both academia as well as within policy and governmental settings. Whilst extensive literature has been published on the topic of how such regulation should be developed, the question as to whether such regulation should...

The non-literal scope of protection for software is intricate legally and is intricate technical. Thus, despite literally decades of court decisions and a mountain of legal scholar written on the subject in that time, it appears that there is still no consistent agreement about it, as evidenced...

We study the interaction between public and private intellectual property rights (IPR) protection in a duopoly in which software developers offer a product variety of differing quality and compete for heterogeneous users, who have an option to buy a legal version, possibly use an illegal copy,...

In the process of using discrete element method (DEM) to simulate the interaction between straw and machinery, because the existing straw model does not have destructible characteristics, some interaction process cannot be simulated, which affects the accuracy of simulation. In order to solve...