Results 161 to 170 of about 130,601 (218)

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley   +1 more source

Sequencing of distinct wing behaviors during Drosophila courtship. [PDF]

Curr Biol
Li X, Thieringer K, Gao Y, Murthy M.
europepmc   +1 more source

Electricity Price Prediction Using Multikernel Gaussian Process Regression Combined With Kernel‐Based Support Vector Regression

Journal of Forecasting, EarlyView.
ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das, Stephan Schlüter, Lorenz Schneider   +2 more
wiley   +1 more source

Site- and conformer-specific reaction dynamics of glycine with the hydroxyl radical. [PDF]

Commun Chem
Gruber B, Czakó G.
europepmc   +1 more source

Intraday Functional PCA Forecasting of Cryptocurrency Returns

Journal of Forecasting, EarlyView.
ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley   +1 more source

An Information-Theoretic Framework for Understanding Learning and Choice Under Uncertainty. [PDF]

Entropy (Basel)
Woo JH, Balaji L, Soltani A.
europepmc   +1 more source

The Impact of Uncertainty on Forecasting the US Economy

Journal of Forecasting, EarlyView.
ABSTRACT This paper examines the predictive value of uncertainty measures for key macroeconomic indicators across multiple forecast horizons. We evaluate how different uncertainty proxies—economic policy uncertainty (EPU), VIX, geopolitical risk, and measures of macroeconomic and financial uncertainty—enhance forecast accuracy for industrial production,
Angelica Ghiselli
wiley   +1 more source

Managing inventories for perishable e-groceries: The value of probabilistic information. [PDF]

PLoS One
Winkelmann D, Ulrich M, Römer M, Langrock R, Jahnke H.   +4 more
europepmc   +1 more source

The Role of Coincident Information in Real‐Time Business Cycle Forecasting

Journal of Forecasting, EarlyView.
ABSTRACT Official NBER recession dates are announced with substantial delay. Therefore, real‐time forecasters cannot condition on the most recent business cycle states even though recessions and expansions are highly persistent. I study whether real‐time coincident releases can substitute for this missing information. At each monthly forecast origin, I
Visa Kuntze
wiley   +1 more source

Historical changes in overtopping probability of dams in the United States. [PDF]

Nat Commun
Cho E, Ahmadisharaf E, Villarini G, AghaKouchak A.   +3 more
europepmc   +1 more source