Does Indian sovereign yield volatility reflect economic fundamentals, or whether it is a self-generated force flowing through markets with little connection to such fundamentals? To answer the question, this research explores the volatility dynamics and measures the persistence of shocks to the...

This paper explores the asymmetric connectedness of systemic risk between the oil and global stock markets in both the time and frequency domains. To do so, we introduce time-varying parametric vector autoregressive (TVP-VAR) spillover index models and implied volatility indices to examine risk...

Green finance is becoming increasingly important today, affecting many areas of the economy. In this regard, the examination of green bond markets is becoming more and more important, as various financial shocks have also led to significant changes in the financial markets and economic policy...

This study employs the DCC-GARCH model to investigate the dynamic connectedness between the Indian stock market and major global stock markets. Specifically, we examine daily log returns data of the National Stock Exchange (NSE) index and several international indices, including the United...

This study contrasts GARCH models with diverse combined forecast techniques for Commodities Value at Risk (VaR) modeling, aiming to enhance accuracy and provide novel insights. Employing daily returns data from 2000 to 2020 for gold, silver, oil, gas, and copper, various combination methods are...

Purpose - Unlimited quantitative easing (QE) is one of the monetary policies used to stimulate the economy during the coronavirus disease 2019 (COVID-19) pandemic. This policy has affected the financial markets worldwide. This empirical research aims at studying the dependence among stock...

Human mortality has been improving faster than expected over the past few decades. This unprecedented improvement has caused significant financial stress to pension plan sponsors and annuity providers. The widely recognized Lee-Carter model often assumes linearity in its period effect as an...

Cryptocurrencies have increasingly attracted the attention of several players interested in crypto assets. Their rapid growth and dynamic nature require robust methods for modeling their volatility. The Generalized Auto Regressive Conditional Heteroskedasticity (GARCH) model is a well-known...