Results 91 to 100 of about 1,561,604 (300)

Weather Attention in Online Discourse and Price Uncertainty in Agricultural Futures Markets

open access: yesAgribusiness, EarlyView.
ABSTRACT Weather is a central determinant of production risk in agricultural markets, but markets respond not only to weather conditions themselves, but also to how those conditions are noticed, framed, and interpreted in public discourse. In this setting, real‐time online weather discussions may shape price uncertainty by influencing how market ...
Mario A. Ortez   +3 more
wiley   +1 more source

Signaling the Characteristics of Business Combinations and Abnormal Stock Returns

open access: yesBAR: Brazilian Administration Review
Objective: to examine the effect of signaling the characteristics of business combinations through material facts on the abnormal returns of companies listed on the Brazilian stock exchange.
Juliane Pacheco, Suliani Rover
doaj   +1 more source

Predicting abnormal stock returns with a nonparametric nonlinear method [PDF]

open access: yesIJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222), 2002
Neural networks (NN) can be applied to the prediction of stock market trends based on information from legal insider trading. These data are available because officers of companies are required by law to submit to the Securities Exchange Commission a record of the sales and purchases of their companies' stock.
openaire   +1 more source

Conducting event studies on a small stock exchange [PDF]

open access: yes
This paper analyses whether it is possible to perform an event study on a small stock exchange with thinly trade stocks. The main conclusion is that event studies can be performed provided that certain adjustments are made.
Olson, Dennis   +2 more
core  

Process‐informed co‐optimization of liquid air energy storage and data centers under off‐design thermodynamic operation

open access: yesAIChE Journal, EarlyView.
Abstract The rapid growth of AI data centers (AIDCs) is intensifying stress on power systems and exposing operators to volatile electricity markets. This work develops a process‐informed co‐optimization framework that integrates liquid air energy storage (LAES) with AIDC operation. Unlike black‐box storage models, the proposed formulation captures LAES
Zhicong Fang   +3 more
wiley   +1 more source

Reaction of Stock Prices to Dividend Announcements and Market Efficiency in Pakistan

open access: yesLahore Journal of Economics
This study tests the semi-strong form of market efficiency by investigating the reaction of stock prices to dividend announcements. It analyzes cash, stock, and simultaneous cash and stock dividend announcements of 79 companies listed on the Karachi ...
Muhammad Akbar, Humayun Habib Baig
doaj  

Effect of brand value announcements on stock returns: empirical evidence from Turkey

open access: yesJournal of Business Economics and Management, 2016
This study examines the effects of brand value announcements on stock returns of Turkish firms by using the event study methodology and long-term risk adjusted port-folio returns.
Pinar Basgoze   +2 more
doaj   +1 more source

Development and experimental validation of a predictive resilient framework for cyber‐physical systems

open access: yesAIChE Journal, EarlyView.
Abstract Cyber‐physical process systems integrate process dynamics, control, sensing, actuation, and communication, making them vulnerable to attacks that falsify data, alter control actions, or disrupt networks and drive operations toward unsafe states.
Luyang Liu   +5 more
wiley   +1 more source

Daily Seasonalities and Stock Market Reforms in Spain. [PDF]

open access: yes
The effects of Spanish Stock Exchange Reform on the seasonal patterns of daily stock excess returns are addressed. Before the Reform, positive abnormal average Monday excess returns are found.
Peña Sánchez de Rivera, Juan Ignacio
core  

Cross‐Sectoral AI Integration Is Essential to Tackling Food Waste and Food Insecurity: A Roadmap for Developing Resilient Food Systems

open access: yesAdvanced Intelligent Systems, EarlyView.
As food insecurity and global food demands surge, artificial intelligence (AI)‐based technologies offer promising opportunities to reduce food loss and waste. In this perspective, current AI adoption across the food supply chain is assessed using various academic, industry, and policy sources.
Akansha Prasad   +5 more
wiley   +1 more source

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