Further work has expanded the conventional approach by incorporating quantile regression models, which allow researchers to capture diverse distributional aspects of bounded data. For example ...

Background and MotivationAs the global energy transition accelerates, clean energy stocks (CES) have become a key asset class in financial markets ...

The study's dynamic analysis shows the shifting nature of each asset's role. For instance, the internet index functioned as a ...

The International Trade and Investment (ITI) Program holds three regular meetings annually, in winter, spring, and at the NBER Summer Institute. The ITI Program has 85 research associates, 11 faculty ...

Method: This study employed a quantile regression model to examine the determinants of malnutrition at various quantiles of interest across the Western African countries under consideration to ...

In the paper, the quantile regression model with ARCH effect, as an ideal semi-parametric approach to estimate the quantile of return distribution directly that differs from the conventional ...

As an important part of the celebration of the 20 anniversary of the Wang Yanan Institute for Studies ...

An artificial intelligence model has the ability to blackmail developers — and isn’t afraid to use it. Anthropic’s new Claude Opus 4 model was prompted to act as an assistant at a fictional ...

This paper introduces a novel Bayesian approach to quantile factor analysis using variational inference methods. 2. Monitoring Multi-Country Macroeconomic Risk: A QFAVAR Approach Citation: Korobilis, ...