This study examines how effective the Dogs of the Dow (DoD) investment strategy, popular in the USA, was for the Polish blue-chip stock market between 2002-2023. This strategy involves investing the same amount of funds each year in shares of ten companies called Dogs of Dow with the highest...

Speculation has long been thought to have significant economic effects, but it is difficult to measure, making it challenging to examine these effects empirically. In this paper we measure speculation in the UK since 1785 by using business and financial reporting in The Times newspaper. Our...

The mutual codependence between stock market development and the economic growth is empirically investigated in Kazakhstan. The study employs the Vector Autoregression technique (VAR) to test the relationship between economic growth (Industrial Production Index) and the stock market development...

The political future is inherently unpredictable, particularly in the run-up to elections. This article analyses whether such uncertainty matters. In this paper, we raise an interesting issue of the impact of political debate on the stock market of a developing country. Specifically, we...

In this study, we investigate the return propagation mechanism, hedging effectiveness, and portfolio performance across several common agricultural commodities, crude oil, and S&P 500 index, ranging from July 2000 to June 2024 by using a time-varying parameter vector autoregression (TVP-VAR)...

This paper employs a Time-Varying Parameter Vector Autoregression Directional-Spillover (TVP-VAR-DY) model to investigate the dynamic spillover effects among China's energy, real estate, and stock markets from 2013 to 2023, with a focus on the impact of extreme events. The findings show that the...

Investing in the stock market has always been an exciting topic for people. Many specialists have tried to develop tools to predict future stock prices in order to make high profits and avoid big losses. However, predicting prices based on the dynamic characteristics of stocks seems to be a...

The study benchmarks four machine-learning algorithms- Random Forest, XGBoost, CatBoost and Long Short-Term Memory (LSTM) networks-for forecasting stock market liquidity in Germany's DAX equity market. Using data from January 2006 to May 2025, a Liquidity Score is constructed as 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...

The Model of Intuitive Morality and Exemplars (MIME) suggests that news audiences, including investors, evaluate news based on their moral frames, and that these moral evaluations shape behavior. We extracted moral signals from 382,185 news articles across an 8-month period and examined their...

This study examines the simultaneous relationships among oil prices, oil volatility, and two sub-sectors within alternative energy stocks: renewable energy equipment (REE) and alternative fuels (AF). The results confirm the existence of a bidirectional relationship. While most alternative energy...

This study employs a quantile-on-quantile connectedness approach to analyze the asymmetric, distribution-dependent, and time-varying spillovers between FinTech indices and traditional financial markets. The results show that spillovers are concentrated in the distribution tails, with FinTech...

This work develops an inverse data envelopment analysis (Inverse DEA) framework for portfolio optimization, treating return as a desirable output and volatility as an undesirable output. Using 20 industry-level portfolios from the Taiwan Stock Exchange (1365 stocks; FY-2020), we first evaluate...

This study aims to understand how climate policy uncertainty affects investor behavior and whether it moves with stock markets in advanced economies. Accordingly, we examine data for January 2000-2023 for the stock market indices of Sweden, the United Kingdom, Germany, Norway, the Netherlands,...

The Great Depression era provides a natural experiment to study the effects of employee stock ownership on productivity due to the unexpected nature of the stock market crash in 1929 and the predetermined expiration of employee stock offerings staggered throughout the 1930s. I collect...

This paper investigates the relationship between cryptocurrencies and other financial assets, with a particular focus on the dynamics of information flow between developed and emerging markets. To achieve this objective, the study applies a combined methodology of spillover index analysis and...

Whilst previous studies have primarily focused on the hedge effects and co-movements between cryptos and traditional assets, cryptos' features that are associated with hedge effects and co-movements have often been neglected in extant studies. This research aims to investigate how specific...

The study examines the impact of Environmental, Social and Governance (ESG) ratings on portfolio performance. In addition to using the individual ESG components, we also overcome the shortcomings of an alpha-based performance evaluation by applying a wide range of portfolio performance...

Research background: There is no research found till date that investigated the behavioural biases ("disposition effect, herding behaviour and blue-chip stocks") and "risk perception on investment decision making" in the Indian stock market (National Stock Exchange) by applying Structured...

Differences in the behaviour of asset prices depending on data frequency have not been thoroughly investigated in the literature despite their possible importance. In particular, high-frequency data might contain more information about financial assets because they are updated more rapidly in...

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...

This study offers a comprehensive insight into the realms of economic fraud and risk management, underscoring the necessity of adaptability to evolving technologies and shifts in financial market dynamics. Through the application of bibliometric methodologies, this study meticulously maps the...

The stock market operates on informed decisions based on information gathered from heterogeneous sources, encompassing diverse beliefs, strategies, and knowledge. This study examines the validity of rational bubbles in stock market prices, focusing on eight African stock markets: South Africa,...

We are the first to analyze the effect of terror on stock markets by terror ideology. Surprisingly, we find that Islamist terror attacks created significant negative abnormal returns in American and European markets, but the stock market effects of other terror attacks were almost nil. For our...

We are the first to analyze the effect of terror on stock markets by terror ideology. Surprisingly, we find that Islamist terror attacks created significant negative abnormal returns in American and European markets, but the stock market effects of other terror attacks were almost nil. For our...

Objective: The main purpose of the research is to show that the Central and Eastern European (CEE) market is an essential component of the global stock market. It displays similar patterns to developed countries, and there is a special emphasis on information technology. Research Design &...

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...