Results 71 to 80 of about 4,220 (191)
Corporate ESG Profiles and Investor Horizons
The Journal of Finance, EarlyView.ABSTRACT We find that long‐term institutional investors tilt their portfolios toward firms with better Environmental, Social, and Governance (ESG) profiles, in the cross sections of both institutional investor portfolios and the ownership of firms. We test whether several theoretically motivated mechanisms can explain this relationship.
LAURA T. STARKS, PARTH VENKAT, QIFEI ZHU
wiley +1 more source
Monitoring panels of sparse functional data
Journal of Time Series Analysis, EarlyView.Panels of random functions are common in applications of functional data analysis. They often occur when sequences of functions are observed at a number of different locations. We propose a methodology to monitor for structural breaks in such panels and to identify the changing components with statistical certainty.
Tim Kutta +2 more
wiley +1 more source
, 2021 It is common knowledge that leverage can increase the potential returns of an investment, at the expense of increased risk. For a passive investor in the stock market, leverage can be achieved using margin debt or leveraged-ETFs. We perform bootstrapped Monte-Carlo simulations of leveraged (and unleveraged) mixed portfolios of stocks and bonds, based ...
openaire +2 more sources
Change Point Analysis for Functional Data Using Empirical Characteristic Functionals
Journal of Time Series Analysis, EarlyView.ABSTRACT We develop a new method to detect change points in the distribution of functional data based on integrated CUSUM processes of empirical characteristic functionals. Asymptotic results are presented under conditions allowing for low‐order moments and serial dependence in the data establishing the limiting null‐distribution of the proposed test ...
Lajos Horváth +2 more
wiley +1 more source
Regulation &Governance, EarlyView.ABSTRACT We approach public communication of bureaucratic organizations as a means of reputation management and argue that social media communication that abstains from making reference to other agencies is in line with a turf‐protective strategy, whereas communication that seeks to establish a link to other agencies is in line with a strategy to ...
Karina Shyrokykh +2 more
wiley +1 more source
Impact of Financial Advice on Investment Consistency: Evidence From ESG and Cryptocurrency Investors
Journal of Public Affairs, Volume 26, Issue 2, May 2026.ABSTRACT As individual investors increasingly flock toward cryptocurrency and Environmental, Social, and Governance (ESG) products, understanding the drivers behind these choices is critical for market stability. This study utilizes nationally representative data from the 2021 and 2024 National Financial Capability Study (NFCS) Investor Surveys to ...
Vikesh Kumar, Khalid Ahmed
wiley +1 more source
Journal of International Medical ResearchEsophagotracheal fistula (ETF), one of the most serious complications in the treatment of esophageal cancer, presents a complex management challenge. Early diagnosis and treatment are crucial to alleviate clinical symptoms and improve the quality of life
Jing Han +5 more
doaj +1 more source
A Fuzzy Framework for Realized Volatility Prediction: Empirical Evidence From Equity Markets
Journal of Forecasting, Volume 45, Issue 3, Page 1261-1291, April 2026.ABSTRACT This study introduces a realized volatility fuzzy time series (RV‐FTS) model that applies a fuzzy c‐means clustering algorithm to estimate time‐varying c latent volatility states and their corresponding membership degrees. These memberships are used to construct a fuzzified volatility estimate as a weighted average of cluster centroids.
Shafqat Iqbal, Štefan Lyócsa
wiley +1 more source
Financial Time Series Uncertainty: A Review of Probabilistic AI Applications
Journal of Economic Surveys, Volume 40, Issue 2, Page 915-953, April 2026.ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen +4 more
wiley +1 more source