This study investigates the influence of FOMO, loss aversion, and herd behavior on gold investment decisions in the Vietnamese market. Employing data collected from 727 investors and the Partial Least Squares Structural Equation Modeling (PLS-SEM) method, the analysis results confirm the pivotal...

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 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...

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...

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 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...

Background: Gold mining is a critical part of the industry of Central Asia, contributing significantly to regional economic growth. However, gold production management faces numerous challenges, including adopting innovative technologies such as AI, using improved logistical equipment, resolving...

Objective:The article examines how strong the sell-off on the capital market in the United States must be to cause above-average, positive rates of return on the gold investment market. The durability of such above-average gains in the gold market was also assessed.Research Design & Methods: The...

This paper examines the dependence, systemic risk spillover, return and volatility spillover, and portfolio implications across various timescales between the Green Bond (GB) and U.S. S&P 500 Stock (SP), Vanguard Total World Stock Index Fund (VT), Bitcoin (BTC), Ethereum (ETH), Ripple, OIL, and...

This study explores correlations and risk spillovers, essential concepts for financial risk management, among commodities (crude oil, gold, and a global commodities index) and emerging stock markets. Using the Asymmetric Dynamic Conditional Correlation-Conditional Value-at-Risk (ADCC-CoVaR)...

This study investigates the heterogeneous responses of Bitcoin (BTC), gold (GOLD), and green bonds (GBOND) to geopolitical risk (GPR) shocks across different market regimes and investment horizons. Using a triadic empirical framework that encompasses wavelet quantile-on-quantile regression...

This study investigates the connectedness and portfolio strategies between gold, oil, and Borsa Istanbul (BIST) sector indices of banking, trade, services, and industrials. The study period is from January 3, 2018 to May 21, 2024, a period of high volatility in the Turkish economy and financial...

Exchange rate volatility poses significant challenges for emerging markets, influencing trade balances, inflation, and capital flows. South Africa's Rand is particularly vulnerable to global risk sentiment, gold price fluctuations, and interest rate differentials, yet prior studies often analyse...

Amid the growing debate over how cryptocurrencies are reshaping global finance, this study explores the nexus between Bitcoin, Brent Crude Oil, Gold and the U.S. Dollar Index. We used a time-varying vector autoregressive (tvVAR) model to examine the connection among these four assets during the...

This paper investigates the effects of uncertainty shocks on selected U.S. financial asset prices by decomposing a traditional uncertainty shock into its supply-side and demand-side components. Following the approach by Piffer and Podstawski (2018), we identify uncertainty shocks using the price...

Accurate gold price forecasting is essential for informed financial decision-making, as gold is sensitive to economic, political, and social factors. This study presents a hybrid framework for multivariate gold price prediction that integrates classical econometric modelling, traditional machine...

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...

This SSF Spotlight sheds a light of the gold value chain, emphasizing significant environmental, social, and governance (ESG) challenges encountered by diverse stakeholders. It builds on solutions proposed by Swiss investment actors to promote responsible ESG practices and positive impact. The...

Predicting financial markets remains a significant challenge due to their volatility and the complex interplay of various factors influencing price movements. This study presents a method named AchillesV111Achilles is named after the Greek hero Achilles to reflect the model's powerful...

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 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...

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 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...

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...

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...