Period-aggregated transformer for learning latent seasonalities in long-horizon financial time series.

Fluctuations in the financial market are influenced by various driving forces and numerous factors. Traditional financial research aims to identify the factors influencing stock prices, and existing works construct a common neural network learning framework that learns temporal dependency using a fixed time window of historical information, such as RNN and LSTM models. However, these models only consider the short-term and point-to-point relationships within stock series.

Are Socially Responsible Firms Associated with Socially Responsible Citizens? A Study of Social Distancing During the Covid-19 Pandemic.

The literature on the interplay between geographic communities and organizations has largely ignored the role of individual residents. In adopting a meso-perspective, we examine a potentially vital relationship between corporate conduct and pro-social behavior demanding sacrifice from individuals. Drawing on Weber (Economy and society: an outline of interpretive sociology.