shifts the focus and investigates the impact of predictive artificial intelligence (AI) on the volatility of firms … associated with increased volatility. This relationship persists across multiple robustness checks, including analyses addressing … providers ("AI buyers") and those that develop AI in-house ("AI developers"). Our results show that heightened volatility is …

shifts the focus and investigates the impact of predictive artificial intelligence (AI) on the volatility of firms … associated with increased volatility. This relationship persists across multiple robustness checks, including analyses addressing … providers ("AI buyers") and those that develop AI in-house ("AI developers"). Our results show that heightened volatility is …

This study analyzes earnings volatility in Austria from 1980 to 2018, providing a comprehensive view of individual … income instability and its demographic and structural determinants. Using administrative data, we examine volatility trends … by gender, age, earnings deciles, and employment interruptions. We find that earnings volatility has increased over time …

I use Bayesian VARs with stochastic volatility to forecast global temperatures and sea level and ice cover in the …

The cryptocurrency market, known for its inherent volatility, has been significantly influenced by external shocks … volatility of the top seven cryptocurrencies by market capitalization - Bitcoin (BTC), Ethereum (ETH), Tether (USDT), Binance … models (GARCH, EGARCH, TGARCH, and DCC-GARCH). This research aims to examine the persistence of leverage effects, volatility …

investment, CDS spreads, exchange rates, and stock return volatility. Using over 8.6 million ticker transaction observations and …) significantly reduce foreign net buys, more than global market volatility (VIX). While global volatility drives CDS spreads, these …