Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...

Abstract: This paper proposes a nonparametric multivariate density forecast model based on deep learning. It not only offers the whole marginal distribution of each random variable in forecasting ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Forecasting for any small business involves guesswork. You know your business and its past performance, but you may not be comfortable predicting the future. Using Excel is a great way to perform what ...

1 Guangzhou Power Supply Co. Ltd., China Southern Power Grid, Guangzhou, China 2 School of Electric Power Engineering, South China University of Technology, Guangzhou, China This paper proposes an ...

Department of Physics, Trinity College, Hartford, USA. Although the SARS-Cov-2 virus presents many biochemical and biophysical mysteries for scientists to research, the question of greatest import for ...

Abstract: The law of large numbers in probability theory states that the average of random variables converges to its expected value in some sense under some conditions. Sometimes, random factors and ...

The uncertain and volatile nature of wind energy have brought huge challenges to power system planning and operation. Therefore, it is necessary to model the wind power output. In this paper ...