This paper aims to deliver a comprehensive analysis of the theories and concepts that have formed the foundational link between two separate academic fields: finance and economics, resulting in the emergent field of financial economics. The main schools of thought can be divided, with a...

This paper explores the multifaceted nature of risk in financial decision-making by integrating traditional finance models with insights from behavioural finance. It assesses the application of models such as the Capital Asset Pricing Model (CAPM), Weighted Average Cost of Capital (WACC), and...

The goal of this article is to study the relationship between investor sentiment and Euro area Exchange Traded Funds (ETFs), providing insights into the dynamics of market behaviour and the impact of consumer behaviour on investment patterns within the Eurozone. This paper has employed panel...

This paper deals with the problem of how the risk perception among retail customers is affected by the consumer protection regulation on the financial market. Through a questionnaire survey, we have measured the effect of selected consumer protection measures on banking or investment decisions...

Background Traditional asset pricing models face challenges from financial anomalies, prompting exploration through behavioural finance theory. This study analyses the nuanced relationship between individual investor sentiment and key stock market variables. Objectives To assess the impact of...

We test whether forecast bias affects individual investors' stock trading by combining bias measures from laboratory experiments with administrative trade data. Forecast bias is positively associated with past excess returns of purchased stocks: Compared to contrarians, extrapolators purchase...

This paper quantifies how demand and supply shocks transmit to yields in Colombia's sovereign bond market by estimating investor-level demand elasticities and translating them into equilibrium price effects. Using investor-security microdata and two complementary identification strategies, I...

We study how confidence bias affects investment in learning via experimentation, a mechanism critical for technology adoption under uncertainty. We hypothesize that bias direction and strength predict how willingness to experiment diverges from unbiased agents. We measure revealed and stated...

The diverse rating scales used by brokerage firms pose significant challenges for aggregating analyst recommendations in financial research. We develop a momentum-based normalization framework that transforms heterogeneous rating changes into standardized sentiment signals using firm-relative,...

The Financial Lobster Bias describes how SMEs, driven by distorted liquidity perceptions, engage in aggressive expansion until financial breakdown occurs. Using data from 10,412 Spanish SMEs (2000-2024), this study shows that liquidity misperception-measured through two versions of the Liquidity...

This study explores how investor behavioural biases influence sustainable (high-ESG) and non-sustainable (low-ESG) firms in the United States, using the behavioural three-factor model introduced by Daniel, Hirshleifer and Sun (2020). The model includes two behavioural factors: limited attention...

Making financial decisions under risk and uncertainty has become part of everyday life. Traditional finance explores the objective side of risk, analysing the decisions made by perfectly rational individuals in efficient market conditions. Behavioural finance seeks to connect theory with...

Modern life offers nearly unbridled access to information; it is the harnessing of this information to guide decision-making that presents a challenge. We study how one individual may try to shape the way another person interprets objective information by proposing a causal explanation (or...

Purpose - This study aims to analyse the effects of Economic Policy Uncertainty (EPU) on the return of growth/value and small/large-cap stocks during expansionary and recessionary periods across a conditional distribution. Design/methodology/approach The authors selected a sample covering the...

This study investigates the asymmetric responses of AI and ESG Exchange Traded Funds (ETFs) to geopolitical and financial uncertainty, with a focus on resilience across market regimes. The NASDAQ-100 and MSCI ESG Leaders indices are used as proxies for thematic ETFs, and their dynamic...

This work introduces a novel method for sentiment analysis in the stock market by combining Deep Neural Networks (DNN) and an improved Firefly Algorithm (FA). It is essential to comprehend investor sentiment in financial markets in order to forecast stock price movements and make wise investment...

This study examines the performance dynamics of U.S. options exchange-traded funds (ETFs), whose investment strategy involves options contracts. Analyzing monthly returns data from February 2014 to April 2023, we evaluate the risk-adjusted performance, volatility, and market sensitivity of U.S....

This study compares the resilience of optimal portfolios constructed using participation stocks (i.e., sharia-compliant stocks) to that of conventional stocks on Borsa Istanbul between 2011 and 2024 for three periods when a stock market crisis occurred. The three crises are related to Gezi Park,...

In response to the scarce evidence regarding herd behaviour in emerging and frontier debt markets, this paper investigates the potential mispricing of MENA sovereign risk. We explore whether this mispricing results from international investor herding, where MENA debt assets are collectively...

This paper explores the benefits of sectoral diversification in equity investments, comparing traditional and modern portfolio management frameworks for investors with different risk perceptions. We use monthly price data on 200 companies, listed on the Borsa Istanbul, for the period January...