The capital markets are sensitive to geopolitical events. It is important to provide evidence of reactions to specific geopolitical events in order to identify general patterns and effective risk management strategies. This study follows the event study approach to assess the reactions of...

The financial markets, shaped by dynamic forces, including macroeconomic trends and technological advancements, are influenced by a multitude of factors impacting the S&P 500 stock index, a pivotal indicator in the US equity markets. This paper highlights the significance of understanding the...

Investing in stocks and shares is a common strategy to pursue potential gains while considering future financial needs, such as retirement and children's education. Effectively managing investment risk requires thoroughly analyzing stock market returns and making informed predictions....

This research explores the application of extreme value theory in modelling and quantifying tail risks across different economic equity markets, with focus on the Nairobi Securities Exchange (NSE20), the South African Equity Market (FTSE/JSE Top40) and the US Equity Index (S&P500). The study...

This study makes use of a very long time series of the S&P Composite Index, checking once more that the rates of return benefit from aggregational normality. It performs unit root tests as well as elementary statistical tests that take advantage of normality. It finds that mean blur is not...

The capital markets are sensitive to geopolitical events. It is important to provide evidence of reactions to specific geopolitical events in order to identify general patterns and effective risk management strategies. This study follows the event study approach to assess the reactions of...

We propose a methodology to construct tests for the null hypothesis that the pricing errors of a panel of asset returns are jointly equal to zero in a linear factor asset pric- ing model - that is, the null of "zero alpha". We consider, as a leading example, a model with observable, tradable...

This study investigates the return propagation dynamics between cryptocurrencies and emerging market sectoral indices (EMSI), focusing on portfolio impact from Bitcoin, Ethereum, and two gold-backed cryptocurrencies (PAXG and X8X). Using data from 2019 to 2024, we apply a novel DCC-GARCH-based...

The purpose of this study is to explore whether ESG (Environmental, Social, and Governance) criteria can serve as a valuable tool for investors when making rational decisions about financial security selection and portfolio construction. By applying Modern and Post-Modern portfolio theories (MPT...

This study analyzes how sectoral stock volatility in the GCC region responds to global financial uncertainty shocks originating from the U.S. (CBOE VIX), Europe (VSTOXX-50), Bitcoin investors' Sentiment Indices (BSI), and disaggregated global Financial Stress Indicators (FSI) by using both the...

In this study, we investigate the relationship between implied equity volatility (VIX) and corporate bond spreads, covering both investment-grade and high-yield sectors. Our dataset spans three significant periods of recent volatility: the 2008/09 financial crisis, the COVID-19 pandemic, and the...

In contrast to previous studies that investigated the impact of the investment groups' trading volume on the volatility of the stock index, this research, inspired by behavioral finance literature, aims to evaluate the dynamic bi-directional relationship between the trading behavior of investor...

We examine technology ETF and uncertainty index (VIX, GVZ, and OVZ) spillover dynamics and quantile frequency interconnectedness across market states. This study is the first to use quantile-frequency spillover, quadruple wavelet coherence, and wavelet quantile correlation methodologies to...

As investors increasingly use Environmental, Social, and Governance (ESG) criteria, a key challenge remains: ESG data is typically reported annually, while financial markets move much faster. This study investigates whether incorporating annual ESG scores can improve monthly stock return...

The study examines the impact of the COVID-19 pandemic and other global events on the global stock market, focusing on 16 countries of the world using quarterly data ranging from 1919Q1 to 2020Q2. While selected sample countries in Europe have at least ten break dates under the period of...

In this study, we aim to provide a comprehensive analysis of the risk management potential of sectoral Credit Default Swaps (CDSs) within financial portfolios. Our objectives are threefold: (i) to investigate the safe haven properties of sectoral CDSs; (ii) to assess their hedging effectiveness...

This paper applies the R² connectedness method proposed by Balli et al. (2023) to analyse contemporaneous and lagged connectedness between returns on several asset classes (sector ETFs, Bitcoin, stock market indices, Brent crude oil) over the period 1 January 2023 – 22 September 2025, in the...

Volatility modelling is a key feature of financial risk management, portfolio optimisation, and forecasting, particularly for market indices such as the JSE Top40 Index, which serves as a benchmark for the South African stock market. This study investigates volatility modelling of the JSE Top40...

This paper examines tail connectedness between various exchange-traded funds (ETFs) focused on artificial intelligence (AI) and some traditional assets such as bonds, equities, Bitcoin, and oil, as well as the VIX uncertainty index, using US daily data over the period from 1 January 2023 to 23...

This study explores the presence of hidden market regimes in a sector-specific stock index within the Thai equity market. The behavior of such indices often deviates from broader macroeconomic trends, making it difficult for conventional models to detect regime changes. To overcome this...

The financial markets are highly influential and any change in the economy can be reflected in stock prices and thus have an impact on stock indices. The relationship between stock indices and the way they are affected by extreme phenomena is important for defining diversification strategies and...

The notion of compensation for systematic risk is well ingrained in finance and constitutes the basis for numerous empirical tests. The concept an increase in systematic risk is accompanied by an increase in the required risk premium has strong intuitive content: The more risk there is to be...

We propose a methodology to construct tests for the null hypothesis that the pricing errors of a panel of asset returns are jointly equal to zero in a linear factor asset pric- ing model - that is, the null of "zero alpha". We consider, as a leading example, a model with observable, tradable...

Understanding the determinants of central bank digital currencies (CBDCs) is crucial for ensuring financial stability, fostering innovation, and framing effective policies associated with the digitalization of currency. Therefore, we study how financial markets and safe haven assets can affect...

This study focuses on the precise forecasting of stock price movement to determine returns, diversify risk, and demystify existing opportunities. It also aims to gauge the difference in terms of the stock volatility of various pharma companies before and during the pandemic era. The prediction...

We develop a statistical-methodological framework for a set of core commercial real estate market indicators, which consists of a market price index, a gross rent index, and a net rental yield index as well a vacancy rate. We argue that the indicators should be (macro-)consistent, meaning that...

Purpose This study aims to explore the asymmetric effects of macroeconomic factors on the profitability of large-cap companies in an emerging country like Colombia, using the Morgan Stanley Capital International (MSCI) Colombia index as the basis. Design/methodology/approach We employ a...

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...