Stock price prediction is a significant research field due to its importance in terms of benefits for individuals, corporations, and governments. This research explores the application of the new approach to predict the adjusted closing price of a specific corporation. A new set of features is...

This study examines whether geographic proximity produces a proximity preference as interlocking firms observe each other and learn innovative behaviors through information transmission among interlocking directors.

Decarbonization requires the transformation of power markets towards renewable energies and investment costs are decisive for the deployed technologies. Exogenous cost assumptions cannot fully reflect the underlying dynamics of technological change. We implement divergent learning-by-doing...

The problem of designing a rebalancing algorithm for a large-scale ridehailing system with asymmetric (unbalanced) demand is considered here. We pose the rebalancing problem within a semi Markov decision problem (SMDP) framework with closed queues of vehicles serving stationary, but asymmetric...

This paper investigates the sources of wage growth over the life cycle, where individuals have the possibility to acquire vocational training at the start of their career. Wage growth is determined by sectoral and firm mobility, unobserved ability and the accumulation of human capital. Workers...