Results 121 to 130 of about 6,126 (292)

Does overconfident CEO lead to corporate environmental misconducts? Evidence from China.

PLoS ONE
Enterprises are drawing growing criticism for violating environmental rules. The research examines whether and how top executives' mental bias leads to corporate environmental misconduct (CEI).
Lu Zhang, Dayuan Li, Zhaohua Xiao, Jialin Jiang, Fenghua Lu   +4 more
doaj   +1 more source

Analysis of Behavioral Biases Affecting Investment Decisions of Individual Investors using Analytical Hierarchy Process

Trends in Business and Economics
Individual investors exhibiting irrational behaviors may encounter a difficult situation in financial markets. Investor trends, also known as behavioral trends, have been introduced under different headlines in different studies.
Salih Aydın, Beyza Demir, Bekir Elmas
doaj   +1 more source

Bivariate postprocessing of wind vectors

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We introduce three novel bivariate postprocessing approaches and analyze their performance for joint postprocessing of bivariate wind‐vector components in Germany. Bivariate vine‐copula‐based models, a bivariate gradient‐boosted version of ensemble model output statistics (EMOS), and a bivariate distributional regression network (DRN) are compared with
Ferdinand Buchner, David Jobst, Annette Möller, Claudia Czado   +3 more
wiley   +1 more source

The Role of Sharia Financial Literacy in Moderating the Effect of Overconfidence on Generation Z Investment Decisions in the Indonesian Capital Market

Jurnal Ilmiah Akuntansi
Penelitian ini bertujuan untuk mengkaji pengaruh overconfidence terhadap keputusan investasi generasi Z di Indonesia serta peran literasi keuangan syariah sebagai variabel moderasi dalam hubungan tersebut. Metode yang digunakan adalah survei kuantitatif
Achmad Fauzi
doaj   +1 more source

Epistemic and aleatoric uncertainty quantification in weather and climate models

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Aleatoric and epistemic uncertainties over time on weather and climate time‐scales, estimated through ensembles that sample aleatoric and epistemic uncertainty using Bayesian neural networks for parameterisations in the Lorenz 1996 model. The spread shows the 16th and 84th percentiles.
Laura A. Mansfield, Hannah M. Christensen   +1 more
wiley   +1 more source

Heuristic Bias and Loss Aversion Impact in Stock Investment Decision Making in Batam

Matrik
Technological advancements affect an individual's financial management by increasing spending and necessitating investments to meet these needs. This research intends to analyze the effect of heuristic bias and loss aversion on investment decision.
Fendy Cuandra, Michael Setiawan, Candy Candy, Hesniati Hesniati   +3 more
doaj   +1 more source

The Impact of Overconfidence on Entrepreneurial Intentions

, 2005
Researchers have found that the determinants of entrepreneurial intention (or action) include general, specific, and social aspects of human capital as well as the possession of entrepreneurial attitudes toward income, independence, perquisites, risk and
Fitzsimmons, Jason R., Douglas, Evan J.
core  

The effects of overconfidence bias and herding bias on entrepreneurial performance

, 2021
Undergraduate thesis submitted to the Department of Business Administration, Ashesi University, in partial fulfillment of Bachelor of Science degree in Business Administration, May 2021The poor performance of entrepreneurial firms in Ghana has been ...
Frempong, Nana Yaa Annorbea
core  

Ensemble reliability and the signal‐to‐noise paradox in ECMWF subseasonal forecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We derive a general expression for the ratio of predictable components (RPC) in terms of correlation, spread–error ratio, and total variance ratio. Physical constraints on the admissible solutions (i.e., real‐valued and non‐negative variances) provide a mechanism to identify statistically paradoxical sample combinations of reliability and correlation ...
Christopher D. Roberts, Frederic Vitart
wiley   +1 more source

Physics‐Informed Neural Networks for Battery Degradation Prediction Under Random Walk Operations

Quality and Reliability Engineering International, EarlyView.
ABSTRACT This study addresses the challenge of predicting the state of health (SoH) and capacity degradation in Battery Energy Storage Systems (BESS) under highly variable conditions induced by frequent control adjustments. In environments where random walk behavior prevails due to stochastic control commands, conventional estimation methods often ...
Alaa Selim, Huadong Mo, Hemanshu Pota, Daoyi Dong   +3 more
wiley   +1 more source