The authors looked at the ability of different machine learning algorithms to predict the level of financial corruption in different countries.
Read More...Predicting and explaining illicit financial flows in developing countries: A machine learning approach
The authors looked at the ability of different machine learning algorithms to predict the level of financial corruption in different countries.
Read More...The effect of financial and food-based incentives on math test performance
The authors looked at the effect of monetary vs. food incentives on math test performance. They found that financial incentives did increase student performance, but not necessarily food incentives.
Read More...Analyzing carbon dividends’ impact on financial security via ML & metaheuristic search
Impact of carbon tax and dividend on financial security
Read More...Comparing and evaluating ChatGPT’s performance giving financial advice with Reddit questions and answers
Here, the authors compared financial advice output by chat-GPT to actual Reddit comments from the "r/Financial Planning" subreddit. By assessing the model's response content, length, and advice they found that while artificial intelligence can deliver information, it failed in its delivery, clarity, and decisiveness.
Read More...Environmental, Social, and Governance (ESG) Standards and Financial Performance in Vietnam’s Media Sector
In this study, the authors examine the relationship between ESG (Environmental, Social, and Governance) factors on financial performance of Vietnamese media companies, as measured by ROA and ROE. They find that ESG is positively correlated with financial performance, as is sales growth. They also find that financial leverage is negatively correlated with ROA. Overall, this is a quality study, although the methods section requires more detail.
Read More...Testing the Impact of a Geometric Curvature Variable on the Accuracy of Econometric Forecasting Models
Classical financial forecasting models often fail to capture the complex, nonlinear dynamics of the stock market. This study demonstrates that incorporating a single variable to represent the 'geometric curvature' of a time series dramatically improves the accuracy of standard econometric forecasts. Our findings highlight that geometric properties are a significant predictive factor, opening new avenues for more powerful financial modeling.
Read More...Environmental, social, and governance ratings and firm performance: Evidence from the Chinese stock market
Large corporations often are known for their financial power, but what social and environmental power and conscious do they have? The more responsible corporations are in relation to environmental, social, and governance criteria the better they do fiscally.
Read More...The Effects of Vibrotactile Feedback on Task Performance in a 3D-printed Myoelectric Prosthetic Arm
Here the authors strive to remedy the financial and mechanical deficiencies in current prosthetics by building a simple, noninvasive vibratory sensory feedback system into an inexpensive constructed 3D-printed prosthetic arm. They find that this simple feedback system has the potential to enhance feedback performance at a less cost.
Read More...Sector Dynamics: Equity and fixed-income performance across market cycles
The authors examined the relationships between S&P 500 Technology and Financials equity sectors and their corresponding investment-grade fixed-income markets from 1995 to 2025.
Read More...Assessing grass water use efficiency through smartphone imaging and ImageJ analysis
Overwatering and underwatering grass are widespread issues with environmental and financial consequences. This study developed an accessible method to assess grass water use efficiency (WUE) combining smartphone imaging with open access color unmixing analysis. The method can be applied in automated irrigation systems or apps, providing grass WUE assessment for regular consumer use.
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