Results 261 to 270 of about 343,821 (333)

Generalized M-Estimation-Based Framework for Robust Guidance Information Extraction. [PDF]

Entropy (Basel)
Ren J, Zhang X, Li S, Tan P.
europepmc   +1 more source

The Impact of Derivative Use on Default Probability Among Nonfinancial Firms: Evidence From European Firms

Journal of Futures Markets, EarlyView.
ABSTRACT This paper examines how institutional environments shape the effectiveness of derivative hedging in reducing corporate default risk. Using hand‐collected data from non‐financial firms across nine European countries and various econometric methods to control for endogeneity, we provide novel evidence that the risk‐reducing benefits of ...
Amrit Judge, Khai Le, Kim Ly
wiley   +1 more source

Early-season helping yields increasing returns to scale at the onset of eusociality. [PDF]

Evol Lett
Di Pietro V, Oliveira RC, Wenseleers T.
europepmc   +1 more source

Using Deep Learning Conditional Value‐at‐Risk Based Utility Function in Cryptocurrency Portfolio Optimisation

International Journal of Finance &Economics, EarlyView.
ABSTRACT One of the critical risks associated with cryptocurrency assets is the so‐called downside risk, or tail risk. Conditional Value‐at‐Risk (CVaR) is a measure of tail risks that is not normally considered in the construction of a cryptocurrency portfolio.
Xinran Huang, Linzhi Tan, Haozhe Su, Jeremy Eng‐Tuck Cheah   +3 more
wiley   +1 more source

Bilevel Optimization for ISAC Systems with Proactive Eavesdropping Capabilities. [PDF]

Sensors (Basel)
Xue T, Lu W, Zhang M, He Y, Cai Y, Yu G.
europepmc   +1 more source

The Black‐Box of ESG Scores From Rating Agencies: Do They Genuinely Reflect Sustainability Practices, or Are They Disproportionately Shaped by Financial Performance?

International Journal of Finance &Economics, EarlyView.
ABSTRACT This study examines the environmental, social and governance (ESG) scoring methodologies used by Bloomberg and S&P Global through the lens of Data Envelopment Analysis (DEA). It addresses a notable gap in the literature by identifying the underlying factors that shape ESG scores and providing practical insights for companies seeking to ...
Philipe Balan, Jorge Antunes, Peter Wanke, Yong Tan, Ali Meftah Gerged   +4 more
wiley   +1 more source

The hidden risk of round numbers and sharp thresholds in clinical practice. [PDF]

NPJ Digit Med
Lengerich BJ, Caruana R, Nunnally ME, Kellis M.   +3 more
europepmc   +1 more source

Hermite-Hadamard Type Inequalities for Generalized Fractional Integrals via Strongly Convex Functions

, 2019
Hasan Fehmi Gidergelmez, Abdullah Akkurt, Hüseyin Yıldırım   +2 more
openalex   +1 more source

Hematologic markers and machine learning in predicting placenta accreta: A case–control study

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective This study aims to enhance antenatal detection of placenta accreta spectrum (PAS) and predict severe hemorrhage at delivery using machine learning by evaluating the association between antenatal hematologic index trends across trimesters, imaging markers, and patient history.
Michael D. Jochum, Kelly D. Albrecht, Yamely Mendez Martinez, Victoria Zhang, Sanmay Sarada, Brian Burnett, Christina C. Reed, Karin A. Fox, Amir A. Shamshirsaz, Michael A. Belfort, Jessian L. Munoz, Hennie A. Lombaard   +11 more
wiley   +1 more source