Financial Time Series Uncertainty: A Review of Probabilistic AI Applications
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen +4 more
wiley +1 more source
Attention-augmented hybrid CNN-LSTM model for social media sentiment analysis in cryptocurrency investment decision-making. [PDF]
Tiwari D +4 more
europepmc +1 more source
Accredited Investors in the US Population
ABSTRACT Over the past few decades, there has been substantial growth in “private” financial markets, which generally have restrictions on who can participate and lower regulatory requirements. A primary way for individuals to qualify for private investments is to be an “accredited investor,” typically meaning that they meet certain income, wealth, or ...
Katherine Carman, Alycia Chin
wiley +1 more source
Research on the Tail Risk Spillover Effect of Cryptocurrencies and Energy Market Based on Complex Network. [PDF]
Gong XL, Wang XT.
europepmc +1 more source
Stock Portfolio Management Based on AI Technology
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 +1 more
wiley +1 more source
A two-stage framework for enhancing crsyptocurrency portfolio performance: Integrating credibilistic CVaR criterion with a novel asset preselection approach. [PDF]
Ghanbari H +5 more
europepmc +1 more source
Optimal Variance Forecasting in a Trading Context
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
Detrended Cross-Correlations and Their Random Matrix Limit: An Example from the Cryptocurrency Market. [PDF]
Drożdż S +4 more
europepmc +1 more source
When the Tail Wags the Dog: A Time‐Varying FCVAR Analysis of Bitcoin Market
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 +2 more
wiley +1 more source
A novel framework for secure cryptocurrency transactions using quantum crypto guard. [PDF]
Alsayaydeh JAJ +4 more
europepmc +1 more source

