Results 171 to 180 of about 10,453 (290)

Forecasting realized volatility models:the benefits of bagging and nonlinear specifications [PDF]

We forecast daily realized volatilities with linear and nonlinear models and evaluate the benefits of bootstrap aggregation (bagging) in producing more precise forecasts.
Marcelo Cunha Medeiros, Eric Hillebrand
core  

Dynamic forecasting and mechanisms of volatility synchronization in complex financial systems. [PDF]

PLoS One
Li JC, Guo J, Ma R, Zhong G.
europepmc   +1 more source

Spin‐On SiOx‐Assisted Inkjet Printing for Interdigitated n+ and p+ Poly‐Si/SiOx Contacts in Silicon Solar Cells With Suppressed Unintended Doping

Advanced Materials Technologies, EarlyView.
This work presents an innovative spin‐on SiOx‐assisted inkjet‐printed approach to form localized n+ and p+ poly‐Si/SiOx passivating contacts for high‐efficiency silicon solar cells within a single‐annealing step. The developed process results in a well‐defined interdigitated doping pattern, with unintended doping and cross‐doping concentrations ...
Jiali Wang, Jinlei Ren, Laura Creon, Paula Peres, Rene Chemnitzer, Pierre‐Yves Corre, Sieu Pheng Phang, Daniel Macdonald, AnYao Liu   +8 more
wiley   +1 more source

Parametric and Nonparametric Volatility Measurement [PDF]

Volatility has been one of the most active areas of research in empirical finance and time series econometrics during the past decade. This chapter provides a unified continuous-time, frictionless, no-arbitrage framework for systematically categorizing ...
Tim Bollerslev, Torben G. Andersen, Francis X. Diebold   +2 more
core  

Interpretable ESG-sentiment hybrid deep learning for asset return forecasting with quantified interactions and latency-aware deployment. [PDF]

Sci Rep
Mishra S, Mayaluri ZL, Liew CY, Sahoo PK, Samantaray AK.   +4 more
europepmc   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

Advanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding, Danny E. P. Vanpoucke, Yunus T. Aksoy, Tobias Corthouts, Maria R. Vetrano, Wim Deferme   +5 more
wiley   +1 more source

Benchmarking Coaxial and Angular Optical Emission Spectroscopy With Recommendations for Reliable Compositional In Situ Monitoring During Laser Powder Bed Fusion

Advanced Materials Technologies, EarlyView.
ABSTRACT Real‐time insight into local chemistry is critical for reliable part quality in additive manufacturing, especially laser powder bed fusion (PBF‑LB/M), where rapid thermal cycles and localized evaporation can undermine part performance. Optical emission spectroscopy (OES) offers non‑intrusive, in situ plume monitoring, but detection geometry ...
Philipp Gabriel, Bastian Jülich, Anna Rosa Ziefuss, Florian Eibl, Stephan Barcikowski   +4 more
wiley   +1 more source

Testing for Volatility Changes in Grain Markets

We use newly nonparametric volatility measures and break techniques to estimate common breaks across grain futures over the recent ten years. Our results show one structural change in realized volatilities occurred in 2006 for corn and in 2007 for ...
Wu, Feng
core  

An alternative strategy for balancing profit maximization and risk reduction. [PDF]

PLoS One
El Khatib Y, Mukhamedova F.
europepmc   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source