Results 211 to 220 of about 40,912 (303)

The dependency structure of international commodity and stock markets after the Russia-Ukraine war. [PDF]

PLoS One
Zhang C, Liu S, Qin M, Gao B.
europepmc   +1 more source

Improving Implied Volatility Forecasts for American Options Using Neural Networks

Journal of Futures Markets, Volume 46, Issue 6, Page 1137-1153, June 2026.
ABSTRACT This paper explores the application of neural networks to improve pricing of American options. Focusing on both American and European options on the S&P 100 index from January 2016 to August 2023, we integrate neural networks to model the difference between market‐implied and model‐implied volatilities derived from the Black‐Scholes and Heston
Haitong Jiang, Emese Lazar, Miriam Marra
wiley   +1 more source

Intelligent system for portfolio optimization for novel volatility forecasting using machine learning. [PDF]

Sci Rep
Biswas T, Dey A, Mandal G, Ghosh N.
europepmc   +1 more source

Forecasting Related Time Series

Journal of Applied Econometrics, Volume 41, Issue 4, Page 481-498, June/July 2026.
ABSTRACT A collection of time series are “related” if they follow similar stochastic processes and/or they are statistically dependent. This paper proposes a related time series (RTS) forecasting model that exploits these relationships. The model's foundation is a set of univariate Gaussian autoregressions, one for each series, which are then augmented
Ulrich K. Müller, Mark W. Watson
wiley   +1 more source

Mitigating the choice of the duration in DDMS models through a parametric link. [PDF]

J Appl Stat
Mendes FHPES, Turatti DE, Pumi G.
europepmc   +1 more source

The Protein Phosphatase Inhibitor LB100 Targets the Mesenchymal Lineage of Pancreatic Ductal Adenocarcinoma

MedComm, Volume 7, Issue 6, June 2026.
To define the mechanisms of sensitivity to PP2A inhibitors (PP2Ai), we combined molecular profiling of PP2Ai responses with genome‐wide genetic screens. PP2Ai preferentially target mesenchymal pancreatic ductal adenocarcinoma (PDAC) cells and engage pathways linked to transcriptional elongation, splicing, metabolism, and ER stress response factors ...
Janine Murr, Carolin Schneider, Ningjun Duan, Hazal Köse, Anantharamanan Rajamani, Xueyang He, Jonas Buchloh, Christian Hintze, Atharva Naik, Daniel Goeke, Nicole Rjasanow, Lukas Krauß, Alexandra Nguyen, Sebastian A. Widholz, Christian Schneeweis, Riccardo Trozzo, Felix Orben, Sebastian Mueller, Rupert Öllinger, Juan J Montero, Michael Dudek, Percy Knolle, Bo Kong, Volker Ellenrieder, Constanza Tapia Contreras, Elisabeth Hessmann, Marian Grade, Michael Ghadimi, Christian J. Braun, Roland Rad, Maximillian Reichert, Ulrich Keller, Roland M. Schmid, Paul L. Boutz, Dieter Saur, Matthias Wirth, Oliver H. Krämer, Günter Schneider   +37 more
wiley   +1 more source

Nickel price forecasting based onempirical mode decomposition and deep learning model with expansion mechanism. [PDF]

PLoS One
Li J, Yu Z, Zhang J, Meng W.
europepmc   +1 more source

A coincidence‐based response matrix for correction of charge sharing spectral distortions in photon counting detectors

Medical Physics, Volume 53, Issue 6, June 2026.
Abstract Background Charge sharing between pixels distorts the count and spectral information of X‐ray photon counting detectors. Compensation methods for charge sharing effects are required to exploit the full potentiality of these detectors in medical diagnosis.
Vincenzo Monaco, Luca Brombal, Pasquale Delogu, Alessandro Feruglio, Massimiliano Fiorini, Renata Longo, Luca Marchetti, Anna Maria Poli, Luigi Rigon, Valeria Rosso   +9 more
wiley   +1 more source

Stock Forecasting Based on Informational Complexity Representation: A Framework of Wavelet Entropy, Multiscale Entropy, and Dual-Branch Network. [PDF]

Entropy (Basel)
Tian G, Xu C, Yang Y.
europepmc   +1 more source

Simultaneous Inversion for Underactuated Mechanical Systems with Servo‐Constraints

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT The dynamic inversion of underactuated mechanical systems can be formulated in the servo‐constraint framework using a set of differential‐algebraic equations (DAEs). In case of a high differentiation index, the inversion‐based feedforward control design poses significant challenges.
Tengman Wang
wiley   +1 more source