Results 71 to 80 of about 431,895 (247)
Sig-SDEs model for quantitative finance [PDF]
arXiv, 2020 Mathematical models, calibrated to data, have become ubiquitous to make key decision processes in modern quantitative finance. In this work, we propose a novel framework for data-driven model selection by integrating a classical quantitative setup with a generative modelling approach.
arxiv
Advanced Functional Materials, EarlyView.PBTTT‐OR‐R, a C14‐alkoxy/alkyl‐PBTTT polymer derivative, is of substantial interest for optoelectronics due to its specific fullerene intercalation behavior and enhanced charge‐transfer absorption. Comparing this polymer with (S) and without (O) homocoupling defects reveals that PBTTT‐OR‐R(O) forms stable co‐crystals with PC61BM, while PBTTT‐OR‐R(S ...
Zhen Liu +14 more
wiley +1 more source
Micro Finance and Women Empowerment in Urban Setting: Reflection from Southern Ethiopia [PDF]
, 2019 The main objective of the study is to explore the extent, to which women are empowered thorough micro finance programs, a reflection from Southern Ethiopia.
Amphune, Befikadu Esayas
core +1 more source
Change of Measure in Midcurve Pricing [PDF]
Wilmott, Volume 2020, Issue106, March 2020, Pages 76-81, 2018 We derive measure change formulae required to price midcurve swaptions in the forward swap annuity measure with stochastic annuities' ratios. We construct the corresponding linear and exponential terminal swap rate pricing models and show how they capture the midcurve swaption correlation skew.
arxiv
Advanced Functional Materials, EarlyView.This study presents a novel approach to designing and fabricating high‐porosity 3D‐printed scaffolds using a customized resin. Scaffold geometry, cellular interactions, and mechanical properties are analyzed to demonstrate these engineered bone models.
Sera Choi +6 more
wiley +1 more source
Generative Models for Stochastic Processes Using Convolutional Neural Networks [PDF]
arXiv, 2018 The present paper aims to demonstrate the usage of Convolutional Neural Networks as a generative model for stochastic processes, enabling researchers from a wide range of fields (such as quantitative finance and physics) to develop a general tool for forecasts and simulations without the need to identify/assume a specific system structure or estimate ...
arxiv
Advanced Functional Materials, EarlyView.This review highlights the potential of single‐atom catalysts in three key photocatalytic reactions: the hydrogen evolution reaction (HER), nitrogen reduction reaction for ammonia synthesis, and carbon dioxide reduction reaction (CO2RR) for chemical fuels.
Saad Mehmood +5 more
wiley +1 more source
Market inefficiency identified by both single and multiple currency trends
, 2011 Many studies have shown that there are good reasons to claim very low predictability of currency nevertheless, the deviations from true randomness exist which have potential predictive and prognostic power [J.James, Quantitative finance 3 (2003) C75-C77].
Afshinpour +17 more
core +1 more source
Advanced Functional Materials, EarlyView.Mesenchymal stem cell‐derived nanoghosts (MSC‐NGs) mimic naturally secreted extracellular vesicles (MSC‐EVs) in structure and physicochemical properties but can be synthesized at more translatable yields. As osteogenic agents, MSC‐NGs demonstrate superior outcomes compared to MSC‐EVs.
Antoine Karoichan +4 more
wiley +1 more source
Advanced Functional Materials, EarlyView.By employing a partial oxidation strategy, nanosized pores are introduced into MXene nanosheets. The resulting holey MXene exhibits faster ionic transport, achieving an aerial capacitance 2.5 times that of unmodified MXene electrodes, and demonstrates excellent cycling stability, retaining 91.7% of its capacitance after 10 000 cycles.
Yongfa Cheng +7 more
wiley +1 more source