Advancing portfolio optimization: The convergence of machine learning and traditional financial models DOI Creative Commons

Siyu Huang

Applied and Computational Engineering, Journal Year: 2024, Volume and Issue: 57(1), P. 206 - 211

Published: April 29, 2024

This paper delves into the transformative impact of machine learning (ML) on portfolio optimization, showcasing how ML algorithms can significantly enhance traditional financial models such as Capital Asset Pricing Model (CAPM) and Arbitrage Theory (APT). Through a comprehensive examination regression analysis, classification algorithms, reinforcement learning, we illustrate methodologies by which refines prediction asset returns, assesses investment risks, dynamically adjusts allocations. We discuss integration with CAPM APT to improve estimation systematic risk identify multi-factor influences offering more nuanced approach optimizing portfolios. Additionally, highlights role big data in augmenting predictive accuracy application optimization like Gradient Descent Genetic Algorithms achieving optimal By addressing challenges multicollinearity overfitting, demonstrate potential revolutionize strategies, enabling sophisticated management return maximization. study not only underscores synergy between theories but also paves way for future innovations analytics.

Language: Английский

Asociación del colesterol remanente con el grado de control glucémico y la presencia de complicaciones microvasculares en personas con diabetes mellitus tipo 1 DOI Creative Commons

Juan José Raposo-López,

Maria Sara Tapia-Sanchiz,

Víctor Navas-Moreno

et al.

Revista Clínica Española, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

Este trabajo investiga la relación entre el colesterol remanente, las métricas de glucosa y complicaciones crónicas diabetes tipo 1 en individuos con sistemas flash glucosa. Se recopilaron variables clínicas personas usuarias sensores llevaron a cabo modelos estadísticos para estudiar asociación del remanente glucosa, así como retinopatía nefropatía diabética. incluyeron 383 una edad 48,3 ± 16,2 años, siendo un 54,1% mujeres, 16 10 mg/dl. Los resultados mostraron que se asocia menor tiempo rango (p = 0,015) mayor por encima 0,003). La diabética fue única complicación asoció 30 mg/dl, OR: 8,93: IC 95%: 2,99-26,62; p < 0,001. El forma independiente hiperglucemia 1. This study examines the relationship between remnant cholesterol, glucose metrics, and chronic complications of type in users monitoring systems. Clinical metrics were collected from individuals using sensors. Statistical models employed to investigate association cholesterol with diabetic retinopathy, nephropathy. A total individuals, aged 48.3 16.2 years, 54.1% women, level mg/dL, included. The results demonstrated that was associated less time within target range (P=.015) more above (P=.003). Diabetic nephropathy only complication levels exceeding mg/dL; 8.93; 95% CI: 2.99-26.62, P<.001. Remnant is independently hyperglycemia diabetes.

Language: Английский

Citations

0
Diabetes knowledge, attitudes and practices among Chinese primary care physicians: A cross-sectional study DOI

Linhua Pi,

Binbin He,

Dongxue Fei

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 20, 2024

Abstract Background: Type 2 diabetes mellitus (T2DM) is a public health crisis that requires adequate knowledge, attitudes, and practices (KAP) by care providers to prevent or delay the progression of disease. This study aimed assess KAP regarding T2DM among primary (PCPs) in Central China. Methods: multicenter cross-sectional was conducted 971 PCPs using self-administered questionnaires. Questionnaires were designed evaluate PCPs, measured with SPSS software. Results: A total mean age 44.0 ± 10.2 years evaluated. 620 (63.9%) worked at village clinic 605 (62.3%) have been working more than 20 years. Only 26.3% respondents participated CME programs past year due Covid-19 pandemic. Overall, despite positive attitudes toward diabetes, there substantial gaps knowledge practices. The scored 7.25 out 14 points on subscales, 7.13 8 attitude 4.85 11 practice subscales. Gender, age, setting, professional titles, duration attendance significant predictors knowledge; Age, setting attitudes; family history affected PCP Conclusions: Despite These findings call for action from relevant authorities policy makers improve PCPs'

Language: Английский

Citations

0
Primary Prevention of Cardiovascular Disease for People Living with Human Immunodeficiency Virus DOI
Christopher B. Fox,

Kristine Butler,

Devon Flynn

et al.

Nursing Clinics of North America, Journal Year: 2024, Volume and Issue: 59(2), P. 219 - 233

Published: March 15, 2024

Language: Английский

Citations

0
Effects of an Electronic Medical Records-Linked Diabetes Self-Management System on Treatment Targets in Real Clinical Practice: Retrospective, Observational Cohort Study DOI Creative Commons
So Jung Yang, Sun‐Young Lim, Yoon‐Hee Choi

et al.

Endocrinology and Metabolism, Journal Year: 2024, Volume and Issue: 39(2), P. 364 - 374

Published: March 21, 2024

Background: This study evaluated the effects of a mobile diabetes management program called “iCareD” (College Medicine, The Catholic University Korea) which was integrated into hospital’s electronic medical records system to minimize workload healthcare team in real clinical practice setting.Methods: In this retrospective observational study, we recruited 308 patients. We categorized these patients based on their compliance regarding use iCareD at home; determined through self-monitored blood glucose inputs and message subscription rates. analyzed changes ABC (hemoglobin A1c, pressure, low-density lipoprotein cholesterol) levels from baseline 12 months thereafter, patients’ usage patterns.Results: comprised 92 (30%) non-users, 170 (55%) poor-compliance users, 46 (15%) good-compliance users; target achievement rate showed prominent groups (10.9% vs. 23.9%, <i>P</i><0.05), whereas no significant were observed for users non-users (13.5% 18.8%, <i>P</i>=0.106; 20.7% 14.1%, <i>P</i>=0.201; respectively).Conclusion: Implementing can improve with minimal efforts settings. However, improvement concerning without vigorous intervention needs be solved future.

Language: Английский

Citations

0
Advancing portfolio optimization: The convergence of machine learning and traditional financial models DOI Creative Commons

Siyu Huang

Applied and Computational Engineering, Journal Year: 2024, Volume and Issue: 57(1), P. 206 - 211

Published: April 29, 2024

This paper delves into the transformative impact of machine learning (ML) on portfolio optimization, showcasing how ML algorithms can significantly enhance traditional financial models such as Capital Asset Pricing Model (CAPM) and Arbitrage Theory (APT). Through a comprehensive examination regression analysis, classification algorithms, reinforcement learning, we illustrate methodologies by which refines prediction asset returns, assesses investment risks, dynamically adjusts allocations. We discuss integration with CAPM APT to improve estimation systematic risk identify multi-factor influences offering more nuanced approach optimizing portfolios. Additionally, highlights role big data in augmenting predictive accuracy application optimization like Gradient Descent Genetic Algorithms achieving optimal By addressing challenges multicollinearity overfitting, demonstrate potential revolutionize strategies, enabling sophisticated management return maximization. study not only underscores synergy between theories but also paves way for future innovations analytics.

Language: Английский

Citations

0