This paper investigates the dynamics of volatility spillovers in the South African foreign exchange market across calm and crisis periods, with particular attention paid to the pre- and post-COVID-19 eras. Employing daily exchange rate returns from 2015 to 2025, we apply a Quantile Vector...

The predominant tradition in the literature is to scrutinise the competitive performance of passive and active investment strategies with less regard to the prevailing market climate. The thesis of this paper is that volatile market conditions may necessitate investment strategy adjustments....

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...

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 article introduces OPENSIMPLEST, a highly parsimonious stock-flow consistent (SFC) model of an open economy. The model is designed as a pedagogical and analytical benchmark that preserves the core mechanisms of more complex open-economy SFC frameworks while remaining complete, transparent,...

We calibrate a lifecycle portfolio-choice model of homeowners facing uninsurable income risk to show that tax deductions for mortgage interest payments and voluntary pension contributions have sizable effects on household portfolios and macroprudential risks. The deductions reduce the after-tax...

Comparing portfolio performance is complex due to the fact that each model is dominant in its own risk space. Since there is no single dominant performance measure, the research problem is how to incorporate several different measures into a performance evaluation model that allows portfolios to...

In recent years, a great deal of attention has been devoted to the use of neural networks in portfolio management, particularly in the prediction of stock prices. Building a more profitable portfolio with less risk has always been a challenging task. In this study, we propose a model to build a...

The study investigates the impact of financial distress (credit spread) and liquidity crises (TED spread) on size, value, profitability, investment and momentum premiums within the US Real Estate Investment Trust market. Using daily data from 2001 to 2020, we examine the presence, magnitude and...

This paper investigates the dynamics of volatility spillovers in the South African foreign exchange market across calm and crisis periods, with particular attention paid to the pre- and post-COVID-19 eras. Employing daily exchange rate returns from 2015 to 2025, we apply a Quantile Vector...

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 study develops an integrated risk modeling framework to assess capital adequacy and optimize portfolio performance for Thai life and non-life insurers. Leveraging ARMA-GJR-GARCH models with skewed Student-t innovations, extreme value theory, and dynamic R-vine copulas, the framework...

This study examined the factor structure of Green, Grey, and Red EU securities using extended asset pricing models built on the Fama–French and Carhart frameworks. The findings show improved return predictability and consistently negative risk-adjusted alpha across categories post-Global...

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 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....

The purpose of dividends is to distribute income to shareholders. Many stock market investors have only a few shares in their portfolios. For these investors, selling one share to generate income is not an attractive alternative to receiving dividends. We describe the dividend decision process...

This study examines the interconnectedness and idiosyncratic risks in sub-Saharan forex markets from 1999 to 2023. Using the TVP-VAR extended joint connectedness technique, we measure both the static and dynamic extended joint connectivity. Our analysis reveals that sub-Saharan forex markets are...

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,...

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...

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...

This study investigates the safe-haven properties of different asset classes during periods of geopolitical risk in Türkiye and examines their comovement with the Geopolitical Risk Index. The research covers the period from January 2010 to January 2023 and employs wavelet coherence analysis and...