Modelling long memory volatility in the Bitcoin market: Evidence of persistence and structural breaks

E Bouri, LA Gil‐Alana, R Gupta… - International Journal of …, 2019 - Wiley Online Library
Motivated by the emergence of Bitcoin as a speculative financial investment, the purpose of
this paper is to examine the persistence in the level and volatility of Bitcoin price, accounting …

Islamic equity market integration and volatility spillover between emerging and US stock markets

J Majdoub, W Mansour - The North American Journal of Economics and …, 2014 - Elsevier
The purpose of this paper is to study the conditional correlations across the US market and a
sample of five Islamic emerging markets, namely Turkey, Indonesia, Pakistan, Qatar, and …

[HTML][HTML] Emerging market portfolios and Islamic financial markets: Diversification benefits and safe havens

MF Bugan, EI Cevik, S Dibooglu - Borsa Istanbul Review, 2022 - Elsevier
We examine the relationship between Islamic and conventional stock market returns to see if
Islamic financial markets provide portfolio diversification benefits and safe havens during …

Commodity and financial markets' fear before and during COVID-19 pandemic: Persistence and causality analyses

OB Adekoya, JA Oliyide - Resources Policy, 2022 - Elsevier
Commodity and financial markets are leading points of attraction to investors, but are very
sensitive to external crises, such as financial and health crises. An example is the …

Crude oil price behaviour before and after military conflicts and geopolitical events

M Monge, LA Gil-Alana, FP de Gracia - Energy, 2017 - Elsevier
Crude oil price behaviour depends on all the events that have the potential to disrupt the
flow of oil. We understand that these causes could be geopolitical issues and/or military …

Forecasting the volatility of the Dow Jones Islamic Stock Market Index: Long memory vs. regime switching

AB Nasr, T Lux, AN Ajmi, R Gupta - International Review of Economics & …, 2016 - Elsevier
The financial crisis has fueled interest in alternatives to traditional asset classes that might
be less affected by large market gyrations and, thus, provide for a less volatile development …

Investor confidence and forecastability of US stock market realized volatility: Evidence from machine learning

R Gupta, J Nel, C Pierdzioch - Journal of Behavioral Finance, 2023 - Taylor & Francis
Using a machine-learning technique known as random forests, we analyze the role of
investor confidence in forecasting monthly aggregate realized stock-market volatility of the …

Firm-level political risk and asymmetric volatility

GC Aye, M Balcilar, R Demirer, R Gupta - The Journal of Economic …, 2018 - Elsevier
This paper examines whether proxies of political risk exposure at the firm-level can predict
the aggregate stock market volatility. Utilizing a nonparametric causality-in-quantiles test …

Persistence of precious metal prices: A fractional integration approach with structural breaks

LA Gil-Alana, S Chang, M Balcilar, GC Aye, R Gupta - Resources Policy, 2015 - Elsevier
This paper analyses the statistical properties of five major precious metal prices (gold, silver,
rhodium, palladium and platinum) based on a fractional integration modelling framework …

A model-free approach to do long-term volatility forecasting and its variants

K Wu, S Karmakar - Financial Innovation, 2023 - Springer
Volatility forecasting is important in financial econometrics and is mainly based on the
application of various GARCH-type models. However, it is difficult to choose a specific …