Results 141 to 150 of about 9,169,995 (306)
The Performance of Asset Allocation Mutual Funds
We analyze the performance of asset allocation funds using a best-fit multifactor model that includes both stock and bond market factors. Utilizing large samples of allocation funds from both the US and the UK, we find that, on average, asset allocation funds do not outperform their benchmarks, and there is little or weak evidence of performance ...
Zhengnan Yin +2 more
openaire +2 more sources
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source
The value of coskewness in evaluating mutual funds [PDF]
Recent asset pricing studies demonstrate the relevance of incorporating the coskewness in Asset Pricing Models, and illustrate how this component helps to explain the time variation of ex-ante market risk premiums.
David Moreno, Rosa Rodriguez
core
FundSelector: A visual analysis system for mutual fund selection
Mutual funds are one of the most important and popular investment ways for ordinary investors to maintain and increase the value of their assets. However, it is challenging for ordinary investors to select optimal mutual funds from thousands of fund ...
Fan Yan +9 more
doaj +1 more source
Symmetry‐Guided Multifunctional Acoustic System Based on Mechanically Actuated Sonic Crystals
This study presents the design, simulation, and experimental validation of amultifunctional acoustic metamaterial based on rotationally engineered sonic crystals.By tuning cylinder orientations, controllable band gaps and six distinct functionalities—including switching, topological insulation, beam splitting, and logic operations—areachieved ...
Yuanyan Zhao +2 more
wiley +1 more source
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source
Do Hedge Funds Profit From Mutual-Fund Distress? [PDF]
This paper explores the question of whether hedge funds engage in front-running strategies that exploit the predictable trades of others. One potential opportunity for front-running arises when distressed mutual funds -- those suffering large outflows of
Joseph Chen +3 more
core
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter +10 more
wiley +1 more source
Mutual Fund Tax Clienteles [PDF]
Mutual funds are pooled investment vehicles with diverse tax clienteles. Whereas many mutual funds are held primarily by taxable investors, a significant fraction of mutual fund assets are held in tax-qualified retirement accounts. Our paper investigates
Laura Starks, Clemens Sialm
core

