Heaton, JB, NG Polson & Jan Hendrik Witte (2017), `Deep learning for finance: deep portfolios', Applied Stochastic Models in Business and Industry 33(1), 3-12.Heaton, J. B.; Polson, N. G.; Witte, J. H. (2016), "Deep learning for finance: deep portfolios", Applied Stochastic ...
Deep Learning in Finance We explore the use of deep learning hierarchical models for problems in financial prediction and classification. Financial prediction problems -- such as t... JB Heaton,NG Polson,JH Witte 被引量: 28发表: 2016年 Discussion of 'Deep learning for finance: deep portfolios'...
Deep learning for finance: deep portfolios. We explore the use of deep learning hierarchical models for problems in financial prediction and classification. Financial prediction problems - such as th... Heaton,B J.,Polson,... - 《Applied Stochastic Models in Business & Industry》 被引量: 34...
The article reports on the deep learning for finance. Topics discussed include the deep learning models, and the problem of model estimation. Also being discussed are the model quality assessment, and the issue of trade-off between bias and variance of the model that can be addressed through ...
Deep reinforcement learning (DRL) can be used to extract deep features that can be incorporated into reinforcement learning systems to enable improved decision-making; DRL can therefore also be used for managing stock portfolios. Traditional methods cannot fully exploit the advantages of DRL because th...
Applying deep learning methods to these problems can produce more useful results than standard methods in finance. In particular, deep learning can detect and exploit interactions in the data that are, at least currently, invisible to any existing financial economic theory. 展开 ...
Deep learning for finance: deep portfolios: J. B. HEATON, N. G. POLSON AND J. H. WITTE We explore the use of deep learning hierarchical models for problems in financial prediction and classification. Financial prediction problems – such as those presented in designing and pricing securities, ...
Building on our Market Navigator on US grocery retailing, we take a deeper dive into the sector’s real estate landscape, exploring retailers’ store portfolios, opening and closure strategies, and recent store traffic data. Read More Deep Dive ...
the crude oil and precious metals forecasting literature struggles to use these models for price prediction. This study attempts to fill this gap in the forecasting literature by applying several deep- and machine-learning models to predict the daily closing prices of crude oil, gold, and silver....
雖然DeepSeek(深度求索)對人工智能(AI)創新方面所帶來的影響尚待充分了解,但普遍的市場高度集中令其容易受回撤影響。