Results 221 to 230 of about 116,745 (301)
Multiagent game-theoretic robust optimization for power system planning under source-load uncertainty. [PDF]
Mi J +6 more
europepmc +1 more source
The proposed framework operates as a continuous cycle: organizational data streams feed into predictive optimization, which generates energy efficiency targets. These targets are translated into behavioral directives through human resource management mechanisms.
Huang Juan, Aimi Binti Anuar
wiley +1 more source
Distribution Approach to Local Volatility for European Options in the Merton Model with Stochastic Interest Rates. [PDF]
Nowak P, Gatarek D.
europepmc +1 more source
ChatGPT in Educational Research: A Case Study of Graduate Students' Use and Ethical Perceptions
ABSTRACT The rise of generative AI, particularly ChatGPT, has transformed academic research, raising both opportunities and ethical concerns. This study examines how graduate students in the education field utilize ChatGPT and their ethical perceptions regarding its use.
Eunseon Lim, Hyunwoong Lee, Yeoran Choi
wiley +1 more source
ABSTRACT We study the accuracy of a variety of parametric price duration‐based realized variance estimators constructed via various financial duration models and compare their forecasting performance with the performance of various nonparametric return‐based realized variance estimators.
Björn Schulte‐Tillmann +2 more
wiley +1 more source
Analytic solutions of variance swaps for Heston models with stochastic long-run mean of variance and jumps. [PDF]
Fu J.
europepmc +1 more source
Coherent Forecasting of Realized Volatility
ABSTRACT The QLIKE loss function is the stylized favorite of the literature on volatility forecasting when it comes to out‐of‐sample evaluation and the state of the art model for realized volatility (RV) forecasting is the HAR model, which minimizes the squared error loss for in‐sample estimation of the parameters.
Marius Puke, Karsten Schweikert
wiley +1 more source
Nickel price forecasting based onempirical mode decomposition and deep learning model with expansion mechanism. [PDF]
Li J, Yu Z, Zhang J, Meng W.
europepmc +1 more source
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 +2 more
wiley +1 more source
Entropy and Chaos-Based Modeling of Nonlinear Dependencies in Commodity Markets. [PDF]
Georgescu I, Kinnunen J.
europepmc +1 more source

