Results 141 to 150 of about 51,738 (285)
Artificial Intelligence in Climate and Sustainable Finance: A Blessing or a Curse?
Journal of Economic Surveys, EarlyView.ABSTRACT While there are concerns regarding the sustainability of artificial intelligence (AI), it is a potential ally in the transition toward a greener future. It offers advanced tools for data analysis; risk modeling; and environmental, social, and governance (ESG) assessment.
Filippo di Pietro +3 more
wiley +1 more source
The Journal of Finance, EarlyView.ABSTRACT Using information in returns, we identify the stochastic process of consumption. We find that aggregate consumption reacts over multiple quarters to innovations spanned by financial markets. This persistent component accounts for over a quarter of consumption variation. These shocks command a large and significant risk premium, driving a large
SVETLANA BRYZGALOVA +2 more
wiley +1 more source
Some Empirical Evidence on the Quantity Theoretic Proposition of Money in ASEAN-5
This study examines the international evidence on long-run neutrality (LRN) of money based on low frequency data from five emerging ASEAN economies, namely, Indonesia, Malaysia, the Philippines, Singapore, and Thailand, using a nonstructural reduced-form
Habibullah, Muzafar Shah +2 more
core
Forecasting prison populations using sentencing and arrest data [PDF]
, 2013 Aim: To develop a method for forecasting the NSW remand and sentenced prisoner populations.Method: Autoregressive Integrated Moving Average (ARIMA) models with other time series as input variables were employed to estimate and forecast changes in the ...
Wai-Yin Wan
core
Journal of Sleep Research, EarlyView.ABSTRACT Sleep bruxism (SB) has been reportedly associated with temporomandibular disorder (TMD); however, solid evidence is lacking. Previous studies have primarily used traditional metrics, such as the masticatory muscle activity (MMA) index and bruxism time index (BTI) to investigate the link between SB and TMD.
Minna Pitkänen +8 more
wiley +1 more source
Sequential Outlier Detection in Nonstationary Time Series
Journal of Time Series Analysis, EarlyView.ABSTRACT A novel method for sequential outlier detection in nonstationary time series is proposed. The method tests the null hypothesis of “no outlier” at each time point, addressing the multiple testing problem by bounding the error probability of successive tests, using extreme‐value theory. The asymptotic properties of the test statistic are studied
Florian Heinrichs +2 more
wiley +1 more source
Sparse Causal Dynamic Linear Regression
Journal of Time Series Analysis, EarlyView.ABSTRACT We develop a sparse causal dynamic regression framework for long multivariate time series. With very long time series, the potentially large number of lags and leads in a dynamic regression model often makes time‐domain estimation numerically unstable or intractable.
Rui Huang, Kung‐Sik Chan
wiley +1 more source
, 2019 Published as part of Opitz, Weston, 2019, Descriptions of new genera and new species of Western Hemisphere checkered beetles (Coleoptera, Cleroidea, Cleridae), pp.
openaire +2 more sources
Maternal effects on recruitment of five gadoid species
Marine Ecology, EarlyView.Abstract Commercial fishing is almost always non‐random and generally removes large and old individuals from fish stocks, thereby reducing age diversity among spawners. Reduced age diversity may result in less stable recruitment. Here, we explore the influence of age diversity (H), mean age of the spawning stock (MA) and sea surface temperature (SST ...
Ingibjörg G. Jónsdóttir +3 more
wiley +1 more source