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...

This WBG study examines what makes distressed asset markets work — and how governments can create the right conditions for private sector engagement. It provides policymakers, regulators, and financial institutions with a practical framework to assess market readiness, identify policy and...

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...

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...

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...

Most news stories contain both granular quantitative information and coarse categorizations. For instance, company earnings are reported as a dollar figure alongside categorizations, such as whether earnings beat or missed market expectations. We formalize and study the hypothesis that when a...

As global climate and sustainable challenges gain more attention, green finance has emerged as a significant focus of worldwide financial reform, with green bonds serving as a key indicator. Retail investors, as an important part of the financial market, have a significant impact on the...

This study builds on the concept of loss tolerance by introducing investment grip, a behavioral interpretation that captures investors' commitment to long-term objectives under adverse market conditions. While loss tolerance traditionally measures the maximum financial loss an investor can...

We study how sustainability disclosure regulation affects mutual fund flows and portfolio choices, accounting for investor heterogeneity. Guided by a model of ESG investing under uncertainty, we exploit the introduction of the European Sustainable Finance Disclosure Regulation (SFDR) as a...

Managers of actively managed funds do not maintain a constant investment style. Instead, their factor loadings change over time. These changes are especially large following quarters with extreme returns and fund flows and arise from both active portfolio reallocations and passive style drift....

We present improved out-of-sample predictability of future fund flows using state-of-the-art machine learning methods. Nonlinear machine learning models significantly outperform linear models in terms of out-of-sample R-squared. Using interpretable ML methods, we identify past flows and the...

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...

Understanding how investors maintain positions during adverse market conditions, investment grip, is increasingly important as retail participation rises and information environments diversify. While prior research identifies demographic, psychological, and economic determinants of investment...

As China's population ages and the sustainability of the public pension system is at risk, personal savings become crucial. As such, the quality of financial planning for retirement (FPR) has been recognized as a key to safeguarding financial well-being during retirement. This study examines the...

In this paper we employ the natural experiment of German Division and Reunification in order to study the effect of institutional reform on the decision to hold risky assets. We present empirical evidence indicating that even 16 years after German Reunification risky portfolios of East and West...

We propose a macro-finance model in which inflation, growth, and the policy rate are driven by unobservable long-run trends and transitory cycles that investors must infer from aggregate data. Their subjective estimates of these trends, and the uncertainty surrounding them, are priced into the...

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...

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...