Results 51 to 60 of about 2,559 (193)

Examining the Financial Impact of Biodiversity‐Related Reputational Disasters

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This research investigates the reaction of financial markets to biodiversity‐related corporate events, utilising an EGARCH model to assess the implications on stock returns and volatility. Results reveal that markets significantly respond to these events, demonstrating heightened sensitivity and volatility that underscore the financial ...
Erdinc Akyildirim, Shaen Corbet
wiley   +1 more source

Beyond Cumulative Sum Charting in Non-Stationarity Detection and Estimation

IEEE Access, 2019
In computer science, stochastic processes, and industrial engineering, stationarity is often taken to imply a stable, predictable flow of events and non-stationarity, consequently, a departure from such a flow. Efficient detection and accurate estimation
Felix Zhan, Anthony Martinez, Nilab Rai, Richard Mcconnell, Matthew Swan, Moinak Bhaduri, Justin Zhan, Laxmi Gewali, Paul Oh   +8 more
doaj   +1 more source

Corporate Social Responsibility's Role in Shaping Environmental Innovation and Reputation: Evidence From London's Non‐Financial Sector

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Non‐financial companies listed on the London Stock Exchange actively engage in corporate social responsibility (CSR), significantly impacting communities and the environment. However, they face challenges related to environmental innovation and reputation management, particularly under strict reporting requirements and public scrutiny.
Richard Arhinful, Leviticus Mensah, Hayford Asare Obeng   +2 more
wiley   +1 more source

Understanding the Behavior of High‐Tech and Non‐High‐Tech Firms on Environmental Sustainability: New Evidence From the United States

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Achieving environmental goals requires transformative change that supports the development of high‐tech industries for the deployment and diffusion of existing technologies. As technology evolves continuously, businesses in the high‐tech industry play a crucial role in this transition by introducing new technologies and practices that impact ...
Ismail Demirdag, Mehmet Ulug, Salih Bortecine Avci, Abdullah Emre Caglar   +3 more
wiley   +1 more source

Shifting baselines of coral‐reef species composition from the Late Pleistocene to the present in the Florida Keys

The Depositional Record, EarlyView.
We produced the first reconstruction of the coral species composition of MIS5d–a reefs in the Florida Keys and compared it with existing regional records from MIS5e, the Holocene, the recent past (1996) and the present (2022) to evaluate how Florida's reefs changed throughout the late Quaternary.
Lauren T. Toth, Anastasios Stathakopoulos, Scarlette Hsia, David Weinstein   +3 more
wiley   +1 more source

An algorithm for seizure detection in rodents

Epilepsia Open, EarlyView.
Abstract Objective Epilepsy animal research often relies on long‐term intracranial electroencephalographic (iEEG) recordings. Here, we describe an artificial neural network (ANN) algorithm for automatic detection of seizures. Methods The algorithm was trained on iEEG recordings of three mouse models of chronic epilepsy: (1) the pilocarpine model of ...
Lyna Kamintsky, Gerben van Hameren, Itai Weissberg, Pooyan Moradi, Ofer Prager, Alaa Abu Ahmad, Lior Schori, Albert Becker, Yaniv Zigel, Alon Friedman   +9 more
wiley   +1 more source

StabilizeNet: a novel framework for alleviating non-stationarity in time series

大数据
Time series prediction is widely used in many fields in modern life, and its importance has become increasingly prominent. Non-stationarity is one of the main issues affecting the accuracy of time series predictions.
AN Junxiu, WAN Lilang
doaj   +2 more sources

Data‐Driven Feature Decomposition Integrated Prediction Model for Dust Concentration in Open‐Pit Mines

Energy Science &Engineering, EarlyView.
ABSTRACT Accurate prediction of dust in open‐pit mines can serve as a foundation for implementing dust prevention and control measures. Based on the collection and monitoring of dust concentration, meteorological, and production data from open‐pit mines, the changing characteristics of dust concentration and its influencing factors were analyzed.
Shuangshuang Xiao, Jin Liu, Qing Yang, Zhiguo Chang, Yonggui Zhang   +4 more
wiley   +1 more source

Deep Learning and Machine Learning Insights Into the Global Economic Drivers of the Bitcoin Price

Journal of Forecasting, EarlyView.
ABSTRACT This study examines the connection between Bitcoin and global factors, including the VIX, the oil price, the US dollar index, the gold price, and interest rates estimated using the Federal funds rate and treasury securities rate, for forecasting analysis.
Nezir Köse, Yunus Emre Gür, Emre Ünal   +2 more
wiley   +1 more source

Modeling and Forecasting the CBOE VIX With the TVP‐HAR Model

Journal of Forecasting, EarlyView.
ABSTRACT This study proposes the use of a heterogeneous autoregressive model with time‐varying parameters (TVP‐HAR) to model and forecast the Chicago Board Options Exchange (CBOE) volatility index (VIX). To demonstrate the superiority of the TVP‐HAR model, we consider six variations of the model with different bandwidths and smoothing variables and ...
Wen Xu, Pakorn Aschakulporn, Jin E. Zhang   +2 more
wiley   +1 more source