Literature is replete with evidence of market integration between crude oil, gold and interest rates (IR) with the exchange rate (ER) due to varied reasons. However, it is observed that the explored market integration is limited for the price and return volatilities. Bivariate GARCH models...

The global repercussions of the COVID-19 pandemic had a substantial adverse impact on the overall economy, resulting in equity markets decline worldwide. Amidst this turbulent environment, plagued with uncertainty, investors have redirected their attention towards secure assets to protect their...

The study uses wavelet power spectrum and wavelet coherence transformation methodologies to examine how geopolitical risk affected the returns on stocks, oil, and gold during the GFC, COVID-19, and Russia-Ukraine war-three disruptive events that affected the world's financial markets. For better...

This paper investigates the inflation-hedging ability of gold in Vietnam from 2011 to 2022. In order to assess how government management has affected the domestic gold market, two local gold prices (SJC and 9999) were employed. The non-linear autoregressive distributed lags (NARDL) approach is...

The objective of this paper is to find out whether there is a long-term relationship or in other words cointegration, between the prices of oil futures and the following factors: the consumer price index (CPI), the exchange rate of the USD to the EUR, the prices of gold, and the price of...

This paper applies the multivariate GARCH models to investigate the role of Bitcoin as a hedge and safe haven for ASEAN+6 stock markets compared to gold. We used daily data for the dates 2 January 2017–20 January 2023, covering the recent COVID-19 pandemic. The empirical findings provide...

This study investigates the relationship between gold prices, agricultural commodity prices (rice, flour, bean, chickpea, lentil, and sugar), and Turkish stock markets. Using the Fourier Toda-Yamamoto causality test and wavelet coherency approach, we find that gold prices significantly influence...

Quantifying the influence of uncertainty on gold prices is significant for improving related financial decision making. This study proposes a novel CNN-LSTM neural network that can extract potential features from sample data to effectively predict gold prices. Specifically, we demonstrate...

Traditional assets, like stocks and bonds, are mostly found to be highly influenced by uncertainties, and cause distress for investors most of the time, consequently investors look for safe investment options that can provide diversification benefits to cope with uncertainties. So, current...

This study examines the responses of Bitcoin and gold to categorical financial stress and compares the responses before and during the COVID-19 pandemic. The OLS and Quantile regression estimations revealed that gold and Bitcoin exhibit similar reactions in full and pre COVID-19 samples. Gold...

This paper attempts to understand the dynamic interrelationships and financial asset capabilities of Bitcoin by analysing several aspects of its volatility vis-a-vis other asset classes. This study aims to analyse the volatility dynamics of the returns of Bitcoin. An asymmetric GARCH model...

Like no other calamitous event in recent memory, the COVID-19 pandemic has plunged the world’s financial system into disarray, triggering systemic risk spillovers across markets. In this study, we use 5-minute index futures price data to examine the multiscale interdependence structure of...

This paper contributes to the literature on safe haven assets, analyzing gold and the Swiss Franc's defensive properties inside various global stocks portfolios. The analysis relies on monthly data extending over the last two decades. Drawing on Multivariate Garch DCC models, the hedging...

The present work offers a review on two divergent schools of thought regarding the subject of money and highlights why understanding it is important to grasp the workings and nature of the concept of money. We adopt a spontaneous order perspective on social institutions, considering money as...

Purpose - This study analyzes the static and dynamic risk spillover between US/Chinese stock markets, cryptocurrencies and gold using daily data from August 24, 2018, to January 29, 2021. This study provides practical policy implications for investors and portfolio managers....

Saudi Arabia has entered the geopolitical competition for mineral resources - and it has done so in a determined manner and with substantial funds at its disposal. As part of its Vision 2030, the Kingdom aims to strengthen local processing and industrial value added. Currently, Saudi Arabia...

This paper examines the relationship between India's Stock Market, Forex Market, Oil Market, and Gold Market to capture interdependencies addressing both direct and indirect market linkages. The study provides new insights into the interdependencies of key markets within India, an emerging...

This study investigates the time-varying return spillovers among the gold and oil markets and the Chinese equity subsectors using a network system representation. The results of the statics analysis show that crude oil and the majority of equity sectors are the net transmitters of spillovers in...

Investor sentiment has the potential to serve as a predictive factor for cryptocurrency assets, yet its impact on volatility spillover across markets remains uncertain. This research investigates the influence of investor sentiment classification on the volatility spillover from stablecoins to...

We analyze the predictive effect of monthly global, regional, and country-level financial uncertainties on daily gold market volatility using univariate and multivariate GARCH-MIDAS models, with the latter characterized by variable selection. Based on data over the period of July 1992 to May...

The spread of the coronavirus has reduced the value of stock indexes, depressed energy and metals commodities prices including oil, and caused instability in financial markets around the world. Due to this situation, investors should consider investing in more secure assets, such as real estate...

In this article I have analysed the long-term relationship between US M2 money supply and the price of gold per troy ounce using Engle-Granger cointegration. The analysis shows the existence of long-term price dependency of gold in relation to US M2 money supply. M2 was used in two variants,...

In this article I have analysed the long-term relationship between US M2 money supply and the price of gold per troy ounce using Engle-Granger cointegration. The analysis shows the existence of long-term price dependency of gold in relation to US M2 money supply. M2 was used in two variants,...

Purpose This paper analyzes the connectedness with network among the major cryptocurrencies, the G7 stock indexes and the gold price over the coronavirus disease 2019 (COVID-19) pandemic period, in 2020. Design/methodology/approach This study used a multivariate approach proposed by Diebold and...