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The optimal use of return predictability : an empirical study [PDF]

, 2011
In this paper we study the economic value and statistical significance of asset return predictability, based on a wide range of commonly used predictive variables.
Abhay Abhyankar, Alexander Stremme, Cochrane, Devraj Basu   +3 more
core   +2 more sources

Assessing the risk-return trade-off in loan portfolios [PDF]

Journal of Banking & Finance, 2009
This paper analyses the risk and return of loans portfolios in a joint setting. I develop a model to obtain the distribution of loans returns. I use this model to describe the investment opportunity set of lenders using mean-variance analysis with a Value at Risk constraint. I also obtain closed form expressions for the interest rates that banks should
openaire   +2 more sources

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Auto‐Generated Valence States in Electrocatalysts for Boosting Oxygen and Hydrogen Evolution Kinetics in Alkaline Water/Alkaline Seawater/Simulated Seawater/Natural Seawater

Advanced Functional Materials, EarlyView.
This review systematically highlights the latest achievements in mixed‐valence states relevant to hydrogen and oxygen evolution reactions, providing essential insights into future directions and methods for large‐scale practical implementation. This critical review is expected to provide an overview of recent advancements in diverse valence‐state metal
Jitendra N. Tiwari, Gokul Bhaskaran, Krishan Kumar, Yun Suk Huh, Young‐Kyu Han   +4 more
wiley   +1 more source

Microenvironmental Reprogramming by 3D Anisotropic Cardiac Extracellular Matrix Induces Nuclear Remodeling and Epigenetic Maturation of Chemically Induced Cardiomyocytes

Advanced Functional Materials, EarlyView.
A 3D anisotropic hydrogel derived from heart extracellular matrix guides cytoskeletal alignment and nuclear remodeling in reprogrammed cardiomyocyte‐like cells. This study reveals how matrix alignment modulates nuclear envelope dynamics and chromatin state, triggering transcriptional and functional maturation.
Seung Ju Seo, Mi Jeong Lee, Hyun Wook Kang, Seonhee Byeon, Soo‐Kyoung Choi, Nakwon Choi, Seung‐Woo Cho, Yoonhee Jin   +7 more
wiley   +1 more source

Regulated Ion‐Diffusion Hydrogels for Subtle and Multimodal Temperature‐Strain Sensing in Wound Monitoring

Advanced Functional Materials, EarlyView.
A soft, dual‐channel hydrogel patch enables simultaneous detection of wound temperature and strain by integrating ion‐diffusion‐mediated thermoelectric and resistive sensing. The conformal design maintains stable performance during motion, capturing subtle inflammatory and mechanical changes for continuous wound monitoring.
Yu Fang, Xinglong Pan, Zhiwei Li, Wanheng Lu, Chang Liu, Yi Zhou, Guo Tian, Ghim Wei Ho   +7 more
wiley   +1 more source

Portfolio optimization with pw-robustness

EURO Journal on Computational Optimization, 2018
This paper investigates a portfolio optimization problem under uncertainty on the stock returns, where the manager seeks to achieve an appropriate trade-off between the expected portfolio return and the risk of loss.
Virginie Gabrel, Cécile Murat, aurélie Thiele   +2 more
doaj   +1 more source

Project Portfolio Selection of Solar Energy by Photovoltaic Generation Using Gini-CAPM Multi-Criteria and Considering ROI Covariations

Energies, 2021
For some time, renewable solar energy generations using cellular photovoltaic panels have stood out among the options, especially in the segment of micro and small companies, where the return on investment is usually higher.
José Claudio Isaias, Pedro Paulo Balestrassi, Guilherme Augusto Barucke Marcondes, Wesley Vieira da Silva, Carlos Henrique Pereira Mello, Claudimar Pereira da Veiga   +5 more
doaj   +1 more source

ANALYSIS OF RISK-RETURN TRADE-OFF IN CRYPTOCURRENCY MARKETS

SOCIAL SCIENCE DEVELOPMENT JOURNAL, 2022
A rational investor does not only focus on obtaining the maximum return while making the investment decision, but also tries to calculate the risk dimension of the investment. Risk and return are in close relationship with each other in the field of finance, just as they are in daily life.
Salih MUTLU, Hakan KARA, Seyide NALINCAK
openaire   +1 more source

Engineering Strategies for Stable and Long‐Life Alkaline Zinc‐Based Flow Batteries

Advanced Functional Materials, EarlyView.
Alkaline zinc‐based flow batteries face persistent challenges from unstable zinc deposition, including dendrite growth, passivation, corrosion, and hydrogen evolution, which severely limit cycling stability. Current research addresses these issues through coordinated electrode structuring, electrolyte regulation, and membrane design to control zinc ...
Yuran Bai, Xiaoyu Huo, Xin Long, Enkang Fu, Xusong Gong, Lei Wei, Liang An   +6 more
wiley   +1 more source