Standard optimal capital tax theory abstracts from modeling asset prices, making it unsuitable for thinking about capital gains and wealth taxation. We study optimal redistributive taxation in an environment with asset price movements, adopting the modern finance view that asset prices fluctuate...

We study the ambiguity-adjusted return distribution induced by an investor with smooth ambiguity preferences 'a la Klibano! et al. (2005), who faces uncertainty about the variance of asset returns. The variance uncertainty is modeled using a gamma distribution, a second-order prior over the...

We demonstrate that foreign institutional ownership (FIO) is associated with stronger stock return sensitivity to the Global Financial Cycle (GFC), indicating greater global co-movement among stocks selected by FIOs compared to those not selected. We conjecture that this may be because (i) FIOs...

We put forward a Dynamic Regularized Parametric (DRP) approach for active portfolio policies. We build upon the parametric policy framework of Brandt et al. (2009) that directly links the portfolio weights to a limited set of asset characteristics. This yields a parsimonious specification that...

The yield curve is widely regarded as a powerful descriptor of the economy and market expectations. A common approach to its statistical representation relies on a small number of factors summarizing the curve, which can then be used to forecast real economic activity. We argue that optimal...

We propose a robust semi-parametric framework for persistent time-varying extreme tail behavior, including extreme Value-at-Risk (VaR) and Expected Shortfall (ES). The framework builds on Extreme Value Theory and uses a conditional version of the Generalized Pareto Distribution (GPD) for...

We investigate the impact of structural shocks on the joint distribution of future real GDP growth and inflation in the euro area. We model the conditional mean of these variables, along with selected financial indicators, using a VAR and perform quantile regressions on the VAR residuals to...

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,...

This paper develops a tractable consumption-based asset-pricing model in an i.i.d. economy that combines rare consumption disasters with ambiguity aversion implemented as a one-period entropic tilt under CRRA utility. Closed-form expressions for the risk-free rate, equity return moments, and the...

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....

Brexit has fundamentally reshaped the United Kingdom’s immigration system, yet organised returns from the UK remain strikingly under-examined. As return practices have evolved following the end of EU free movement, there is a clear need for a systematic framework that can capture this...

We introduce a simple yet powerful method for enhancing mutual fund performance prediction by combining individual predictors into a composite predictor. This composite approach integrates information from 19 well-established return-based and portfolio holdings-based predictors from the...

We uncover momentum and reversal patterns in half-day option returns that persist for up to at least 20 business days, with economic magnitudes of 0.22% to 0.45% per half-day. Specifically, returns show strong momentum within the same period (e.g., intraday-to-intraday) but reverse sharply...

Theories of limited attention predict that investors rely on typical patterns to navigate high-dimensional firm characteristics, making atypical firms hard to process. To quantify this difficulty, we propose a data-driven measure of firm atypicality using an autoencoder (ATYP). The model learns...

This study applies the Log-Periodic Power-Law (LPPL) framework to three major equity markets-Mexico (IPC), Brazil (IBOVESPA), and the United States (NYSE Composite)-using daily closes from 8 November 1991-30 January 2025 for IPC and NYSE, and 3 May 1993-30 January 2025 for IBOVESPA. Multi-window...

A longstanding debate in finance concerns the impact of social responsibility actions on firms' long-term profitability. This study provides a broad analysis on the relationship between ESG, its components, and stock returns. Using a dataset that spans from December 2014 to December 2023, this...

This study investigates the interplay between asset quality, financial ratios, and market valuation in Indian commercial banks over a twelve-year period (2014-2025). Using a hybrid approach combining Structural Equation Modeling, correlation analysis, and trend evaluation, the research examines...

This paper investigates persistence in the MINT (Mexico, Indonesia, Nigeria, Turkey) stock markets applying fractional integration methods to daily data from 1 January 2022 to 31 October 2025. Different model specifications are estimated for prices, log prices and log returns under the...

We analyze the initial job-market matching of new US college graduates with a large-scale audit study conducted during 2016 and 2017, in which 36,880 résumés of college seniors were submitted to online job postings for business-related positions. We simulate the experience of US college...

This paper investigates the dependence structure between returns and trading volumes for five major cryptocurrencies: Bitcoin, Cardano, Ethereum, Litecoin, and Ripple. Using a copula-based framework, we focus on a mixture of the Joe copula and its 90-degree rotation to capture asymmetric...

In this paper, we propose a novel optimization model for portfolio selection that integrates the classical mean-variance criterion with a second-order Tsallis entropy term. This approach enables a trade-off between expected return, risk, and diversification, extending Markowitz's theory to...

This paper examines the pricing effect of cross-sectional patterns in the cryptocurrency market, aiming to enhance the composition of asset pricing factors for a better explanation of cross-sectional variability in cryptocurrency returns.The study utilizes data from 1,160 cryptocurrencies...

This study examines the impact of changes in shareholder wealth and risks in cultural and creative industries (C&CIs) from an investor's perspective, testing the effects of the COVID-19 pandemic. Using weekly data on cultural and creative stocks in the Taiwan stock market and empirical studies...