By a News Reporter-Staff News Editor at Insurance Daily News-- Researchers detail new data in risk management. The news correspondents obtained a quote from the research from University of ...

Research suggests that being happier may help you avoid developing common chronic diseases. However, the benefits only seem ...

Abstract: Finding the best vector autoregression model for any dataset, medical or otherwise, is a process that, to this day, is frequently performed manually in an iterative manner requiring a ...

The Sectoral Effects of Exchange Rate Fluctuations in Fuel-Exporting Countries: Appendix 2.: The Factor Augmented Vector Autoregression (FAVAR) Model This is the metadata section. Skip to content ...

ABSTRACT: This study develops and empirically calibrates the Community-Social Licence-Insurance Equilibrium (CoSLIE) Model, a dynamic, multi-theoretic framework that reconceptualises ...

Abstract: As an efficient recurrent neural network (RNN), reservoir computing (RC) has achieved various applications in time-series forecasting. Nevertheless, a poorly explained phenomenon remains as ...

In the heat of severe global macroeconomic volatility, monetary authorities in the developing world are faced with the challenge of identifying the sources of such volatilities in their countries.

Autoregressive LLMs are complex neural networks that generate coherent and contextually relevant text through sequential prediction. These LLms excel at handling large datasets and are very strong at ...

An econometrics vector autoregression model (VAR) for analysis of multivariate time series of macroeconomics phenomena. Python Jupyter notebook based model is presented here although other packages ...

Forecasting solar irradiance is a critical task in the renewable energy sector, as it provides essential information regarding the potential energy production from solar panels. This study aims to ...