This study examined how uncertainty and global risk affect financial markets in emerging economies, focusing on foreign investment, CDS spreads, exchange rates, and stock return volatility. Using over 8.6 million ticker transaction observations and structural vector autoregression (VAR) models,...

We argue that capital misallocation arises endogenously due to incomplete consumption insurance. We model risk-averse entrepreneurs with heterogeneous productivity who face idiosyncratic output shocks and choose how much capital to rent before uncertainty unfolds. We show that incomplete markets...

This study examines the relationship between sovereign spreads and banks in terms of risk transmission, using the seven largest Italian banks as a sample over the period from 2003 to 2023. Our objective is to quantify and compare volatility spillovers, and to investigate whether bank-specific...

This study examines the impact of investor sentiment and attention on trading volume and volatility across markets in China, India, and Singapore, with a specific focus on the moderating role of news sentiment in various ESG contexts. Analysing panel data from 2018 to 2023, this study finds that...

Objective To diagnose the relationship between futures contract trading and the volatility of stocks in the Bank Nifty Index. Methodology Time series analysis and the GARCH model are employed to study the interaction between futures trading and spot market volatility. Findings The analysis...

We demonstrate the asset pricing implications of investors' belief heterogeneity in the frequency of news arrival and its joint impact with heterogeneous beliefs about news content. Investors trade volatility derivatives against each other to speculate on the rate of news arrival: greater...

Aim: The study examined the behavior of exchange rate in ASEAN countries. This was highly necessitated in order to account for the structural break in the data set occasioned by global financial crisis. Research method: The quantile regression sensitivity analysis was performed on daily series...

Volatility reflects the degree of variation in a time series, and a measurement of the stock performance in the energy sector can help one understand the pattern of fluctuations within this industry, as well as the factors that influence it. One of these factors could be the COVID-19 pandemic,...

Regulatory reforms by the European Commission have facilitated the integration of the European gas market, increasing interdependence in prices and associated risks across gas hubs. Recent external shocks, including the COVID-19 pandemic and the Russian invasion of Ukraine, have disrupted market...

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...

Purpose - The study examines global Gold market performance and correlations between COVID-19, the Russian invasion, inflation, investors' fear, asymmetric shocks, and the VIX (volatility index) impact on volatility. Research Methodology - This research uses an econometric approach to analyse...

We study business uncertainty in high- versus low-volatility environments by surveying over 31,000 managers across 41 countries. We elicit subjective probability distributions for future own-firm sales and measure firm-level uncertainty with their mean absolute deviations. Analogously, we...

This study investigates the financial interconnections among Real Estate Investment Trusts (REITs), sukuk (Islamic bonds), and oil in Gulf Cooperation Council (GCC) nations. The study sample comprises S&P GCC Composite Equity Real Estate Investment Trusts (REITs) Shariah, the S&P GCC Bond and...

The study described in this paper develops a new technique which permits the execution of an open straddle strategy based on the superior volatility forecast for analyzing historical data. We extend the current litearure by measuring the volatility of an underlying asset in the last predefined...

The aim of this study is to enhance the understanding of volatility dynamics in commodity returns, such as gold and cocoa, as well as the financial market index S&P500. It provides a comprehensive overview of each model's efficacy in capturing volatility clustering, asymmetry, and long-term...

This study examines the effects of geopolitical risk (GPR) shocks on stock market returns and volatility across G7, BRICS, and Gulf countries, using a time-varying parameter vector autoregression (TVP-VAR) model. By analyzing responses over short, medium, and long-term horizons, our findings...

This study explores volatility spillovers and financial connectedness between conventional and Islamic equity stock markets in developed, emerging, and frontier economies. Four regions- Gulf Cooperation Council (GCC), South Asian Association for Regional Cooperation (SAARC), Brazil, Russia,...

The study proposes an assessment of the link between the performance of national health systems and volatility during the COVID-19 pandemic. Data from the World Health Organization was accessed regarding the Global Health Security Index of the states considered in the analysis as well as the...

The paper examines the leverage effects and the spillover effects in the base metal cash and futures market. The study also attempts to find the trend and the pattern of volatility clustering in the base metal markets of India. Further, the significance of the risk premium and the possible...

Although there is an extensive literature on the impact of volatility on asset returns correlation, investigating this in relation to broad asset selection and in perspective of different timelines has received less attention. In comparison to the previous papers, we use a much broader set of 35...

This paper examines mean and volatility spillovers between four green municipal bonds issued by the US states of California, Colorado, Columbia and Ohio, and the role played by the recent Covid-19 pandemic and the COP policy announcements respectively. Specifically, four-variate VAR-GARCH-BEKK...

We show a significant loss in U.S. Treasury market functionality when intensive use of dealer balance sheets is needed to intermediate bond markets, as in March 2020. Although yield volatility explains most of the variation in Treasury market liquidity over time, when dealer balance sheet...

This study examines the impacts of the US inflation rate on the bond prices of G7 countries across different maturities using inflation-induced equity market volatility (EMV) to better account for bond price determinants. The regression model, a GED-GARCH (1,1) procedure, is adopted to deal with...

The main problem in pricing variance, volatility, and correlation swaps is how to determine the evolution of the stochastic processes for the underlying assets and their volatilities. Thus, sometimes it is simpler to consider pricing of swaps by so-called pseudo-statistics, namely, the...

The purpose of this study is to analyse the influence of exchange rate shocks on foreign trade (exports and imports) of fifteen economies within the ECOWAS sub- region. To accomplish the goal of this paper, Autoregressive Distributed Lag (ARDL) procedure was employed to investigate the impact...

Market turbulences and their impact on the financial market, particularly on the stock market, is a financial topic that has received significant research attention recently. This study compared the characteristics of stock return and volatility in selected developed and emerging markets between...

This study examines the determinants of time-varying return volatility of Africa's equity markets using monthly indices of eight top African stock markets. The conditional variance is modelled as a proxy for Africa's volatility indices using the best fitting model among SGARCH, EGARCH and...