The dynamics of volatility spillovers between oil prices and stock market returns at the sector level and hedging strategies: evidence from Pakistan.

Environ Sci Pollut Res Int

School of Finance, Shanxi University of Finance and Economics, No. 696, Wucheng Road, Taiyuan City, 030006, Shanxi Province, China.

Published: August 2020

This study investigates the transmission of volatility between OPEC-oil and sector stock returns in Pakistan. The issue of volatility spillovers across the oil and sector stocks is a crucial part of risk management and portfolio designs, as all firms are not expecting to be equally affected by changes in oil price. Empirically, we estimate a bivariate VAR-GARCH model using daily data sampled from January 1, 2003 to December 29, 2017. We also analyze the optimal weights and hedge ratios for oil-stock portfolio holdings based on our model results. Our findings reveal that negative and significant spillover effects from the oil market to agriculture, energy, and machinery sector stocks are present. However, our findings show that volatility spillover effects are insignificant from stock returns to oil. The findings of the study illustrate that development of stock market will motivate highly polluting firms to invest more in renewable and clean energy, which will help reduce carbon emissions.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s11356-020-09351-6DOI Listing

Publication Analysis

Top Keywords

volatility spillovers
8
spillovers oil
8
stock market
8
stock returns
8
sector stocks
8
spillover effects
8
oil
5
dynamics volatility
4
oil prices
4
stock
4

Similar Publications

The development of China's National Carbon Market has strengthened the inherent link between the carbon market and the broader energy market, providing a potential for cross-market risk transmission resonance. Studying the risk spillover effects between China's National Carbon Market and the crude oil futures market is of significant practical importance, both in terms of carbon market development and carbon risk management. Based on the Maximal Overlap Discrete Wavelet Transform (MODWT), the price series are decomposed across multiple scales, and the risk spillover effects between the carbon market and the crude oil futures market are examined from both the time domain and the frequency domain.

View Article and Find Full Text PDF

There exists a potential interdependence among the United States markets, alongside an exceptional dependence on the East Asian stock markets. This transmission of risks is similarly evident in funds that are traded within markets. The current study seeks to uncover the pathways of risk contagion among various financial markets.

View Article and Find Full Text PDF

This paper uses the GJRSK model to estimate the high-order moments of energy (oil, natural gas, and coal), the carbon market, and tourism stocks. Then, it utilizes a novel TVP-VAR time-frequency connectedness approach to examine higher-order moments spillovers among them. The results show a strong connectedness among the three markets.

View Article and Find Full Text PDF

The global food market's escalating volatility has led to a complex network of uncertainty and risk transmission across different grain markets. This study utilizes the Time-Varying Parameter Vector Autoregression (TVP-VAR)-Connectedness approach to analyze the price transmission and volatility dynamics of key grains, including wheat, maize, rice, barley, peanut, soybean, and soybean meal, and their dynamic spillover directions, intensity, and network. By integrating the TVP-VAR-Connectedness model, this research captures the time-varying variability and interconnected nature of global grain price movements.

View Article and Find Full Text PDF

The impact of FinTech technology on financial stability of the UAE.

Heliyon

October 2024

Department of Accounting, College of Business and Economics, United Arab Emirates University, Al Ain, United Arab Emirates.

Financial markets have witnessed significant disruptions driven by ongoing waves of financial innovation, and digitalization brought about by technological advances which are referred to as "FinTech". Consequently, this paper examines connectedness and risk transmission between FinTech industry, Blockchain, and stability of the financial sector in the UAE. Furthermore, it explores the impact of economic and financial turbulences such as COVID-19 pandemic on the transmission of shocks across FinTech and financial instability using a Time-varying Parameter Vector Autoregressive model.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!