Results 131 to 140 of about 3,768 (196)

Mapping network structures and dynamics of decentralised cryptocurrencies: The evolution of Bitcoin (2009-2023). [PDF]

PLoS One
Venturini M, García-Costa D, Álvarez-García E, Grimaldo F, Squazzoni F.   +4 more
europepmc   +1 more source

Stock Portfolio Management Based on AI Technology

Journal of Forecasting, Volume 45, Issue 2, Page 458-469, March 2026.
ABSTRACT Forecasting stock performance is crucial for formulating a profitable trading approach aimed at achieving significant gains. In addition, prediction results serve as essential prerequisites for creating and optimizing active investment portfolios.
Alejandro Moreno Alonso, Joaquín Ordieres‐Meré   +1 more
wiley   +1 more source

An empirical evaluation of fuzzy bidirectional long short-term memory with soft computing based decision-making model for predicting volatility of cryptocurrencies. [PDF]

Sci Rep
Ragab M.
europepmc   +1 more source

Optimal Variance Forecasting in a Trading Context

Journal of Forecasting, Volume 45, Issue 2, Page 733-748, March 2026.
ABSTRACT In financial trading, the economic value of return and variance forecasts arises from three key components: an investor's risk preference, the quality of return predictions, and the accuracy of risk estimates. This study isolates the third component—risk knowledge—and demonstrates that its contribution is a non‐linear function of realized and ...
Nick Taylor
wiley   +1 more source

Development of a cryptocurrency price prediction model: leveraging GRU and LSTM for Bitcoin, Litecoin and Ethereum. [PDF]

PeerJ Comput Sci
Kaur R, Uppal M, Gupta D, Juneja S, Arafat SY, Rashid J, Kim J, Alroobaea R.   +7 more
europepmc   +1 more source

When the Tail Wags the Dog: A Time‐Varying FCVAR Analysis of Bitcoin Market

Journal of Futures Markets, Volume 46, Issue 3, Page 529-544, March 2026.
ABSTRACT This paper examines how the relationship between Bitcoin spot and futures markets has evolved using a time‐varying Fractionally Cointegrated Vector Autoregressive (FCVAR) model. We are the first to apply this methodology dynamically to cryptocurrency markets, allowing us to simultaneously analyze long‐run equilibrium, pricing patterns, market ...
Filippo di Pietro, Antonio A. Golpe, Jose Carlos Vides   +2 more
wiley   +1 more source

Behaviorally informed deep reinforcement learning for portfolio optimization with loss aversion and overconfidence. [PDF]

Sci Rep
Charkhestani A, Esfahanipour A.
europepmc   +1 more source

Efficacy of a video‐viewing intervention of smartphone‐based positive word stimulation on depressive symptoms in individuals with subthreshold depression: Protocol for a randomized controlled trial

Psychiatry and Clinical Neurosciences Reports, Volume 5, Issue 1, March 2026.
Abstract Background Interventions targeting subthreshold depression (StD) are critically important for preventing major depressive disorder's onset. Our smartphone‐based, video‐viewing website (SPSRS), which presents positive word stimulation in videos, is a novel intervention for improving StD's depressive symptoms. Because no rigorous evidence exists
Hiroyuki Uchida, Takumi Igusa, Chihaya Machida, Tomohiro Shimada, Kazuki Hirao   +4 more
wiley   +1 more source

Herding unmasked: Insights into cryptocurrencies, stocks and US ETFs. [PDF]

PLoS One
Nguyen APN, Crane M, Conlon T, Bezbradica M.   +3 more
europepmc   +1 more source

Can Artificial Intelligence Technologies Advance Environmental Sustainability? The Role of Institutional Adaptability and Skill‐Biased Technological Transformation

Sustainable Development, Volume 34, Issue S2, Page 222-244, March 2026.
ABSTRACT The ubiquitous proliferation of artificial intelligence (AI) technologies across contemporary global economic systems necessitates a comprehensive empirical examination of their environmental ramifications, particularly with respect to environmental sustainability paradigms.
Brahim Bergougui
wiley   +1 more source