Evaluating the moderating role of governance on the relationships between social inclusion, ICT infrastructure, and financial inclusion.

In this paper, we examine the Moderating Role of Governance on the Relationships between social inclusion (SI), Information and communication technology infrastructure (ICT), and financial inclusion (FI) in 46 countries representing a global sample span from 2010 to 2020. We collect the data from the IMF's financial access survey and construct a multidimensional FI index. Based on the FI index, we divide the sample into two sub-samples (med-high level and low-level FI countries).

Does US monetary policy uncertainty affect returns of Asian Developed, emerging, and frontier equity markets? Empirical evidence by using the quantile-on-quantile approach.

This paper examines the impact of the Monetary Policy Uncertainty (MPU) of the United States on Asian developed, emerging, and frontier stock markets using a Quantile-on-Quantile (QQR) approach by using monthly data from January 2006 to December 2022 of 14 Asian countries. The study finds that US monetary policy significantly negatively influences Asian stock markets. This is primarily due to the widespread use of the US dollar as a universal currency, resulting in substantial ripple effects on other nations through trade relationships.

Human capital-based four-factor asset pricing model: An empirical study from Pakistan.

This study aims to extend the Fama-French three-factor model by including human capital as a fourth factor. For this purpose, we have collected data from 164 non-financial firms from July 2010 to June 2020. To evaluate the validity and applicability of our augmented human capital-based four-factor model, we apply the two-pass time series regression proposed by Fama-Macbeth (1973).

Information shocks, market returns and volatility: a comparative analysis of developed equity markets in Asia.

This research explores the function of information shocks in equity returns and integrated volatility of emerging Asian markets using Swap Variance (SwV) approach on the period of 20 years (Feb 2001-Feb 2020). It compares average monthly returns and volatility of shock periods with non-shock periods after separating negative and positive shocks. Findings reveal frequent occurrence of information shocks in all Asian developed equity markets with positive shocks than that of negative shocks.

A unified graph model based on molecular data binning for disease subtyping.

Molecular disease subtype discovery from omics data is an important research problem in precision medicine. The biggest challenges are the skewed distribution and data variability in the measurements of omics data. These challenges complicate the efficient identification of molecular disease subtypes defined by clinical differences, such as survival.