Results 91 to 100 of about 8,902,777 (272)
Autonomous AI‐Driven Design for Skin Product Formulations
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source
Introduction: Islamic stock is believed to be more stable and less risky than conventional stock due to specific screening based on Sharia principles, particularly during economic downturns. This research aims to investigate whether the Covid-19 outbreak
Indri Supriani +2 more
doaj +1 more source
Time-varying volatility in Canadian and U.S. stock index and index futures markets: A multivariate analysis [PDF]
We use a multivariate generalized autoregressive heteroskedasticity model (M-GARCH) to examine three stock indexes and their associated futures prices: the New York Stock Exchange Composite, Standard and Poor's 500, and Toronto 35.
Lucy F. Ackert, Marie D. Racine
core
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
MambaLLM: Integrating Macro-Index and Micro-Stock Data for Enhanced Stock Price Prediction
Accurate stock price prediction requires the integration of heterogeneous data streams, yet conventional techniques struggle to simultaneously leverage fine-grained micro-stock features and broader macroeconomic indicators.
Jin Yan, Yuling Huang
doaj +1 more source
STOCK MARKET VOLATILITY AND THE FORECASTING ACCURACY OF IMPLIED VOLATILITY INDICES [PDF]
This study develops a new model-free benchmark of implied volatility for the Japanese stock market similar in construction to the new VIX based on the S&P 500 index.
Moo-Sung KIM +2 more
core
Abstract Our general interest is in global trade loss from livestock pathogens, specifically exports. We adopt a causal inference approach that considers animal disease outbreaks over time as non‐staggered binary treatments with the potential for switching in (infection) and out of treatment (recovery) within the sample period. The outcome evolution of
Mohammad Maksudur Rahman +1 more
wiley +1 more source
Global Uncertainty and Tail Risk in Indonesia’s Islamic and Conventional Equity Markets
Is the Indonesian Islamic stock market more resilient to extreme risks compared to conventional markets when global uncertainty increases? Using daily data from the Jakarta Islamic Index (JKII) and the Jakarta Stock Exchange Composite Index (JKSE), we ...
Arie Sukma
doaj +1 more source
U.S. Stock Market Crash Risk, 1926-2006 [PDF]
This paper applies the Bates (RFS, 2006) methodology to the problem of estimating and filtering time- changed Lévy processes, using daily data on U.S. stock market excess returns over 1926-2006.
David S. Bates
core
Abstract While multiple factors explain low adoption rates of improved varieties by small‐scale farmers in sub‐Saharan Africa, a key supply‐side constraint is the limited availability of seed embodying new traits in the volume, quality, price, and timeliness required by farmers. This constraint is partly attributable to classical failures in the market
Dawit Mekonnen +5 more
wiley +1 more source

