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....

Many studies have examined the relationship between environmental, social and governance performance (ESGP) and financial performance (FP) across various sectors. However, the statistical results of previous studies exhibit variability, including significant and insignificant positive or...

Stability in the global equity market relies on the existence of a favorable macroeconomic environment. This study examines the dynamic responses of these markets to geopolitical risks and oil price shocks from 1979Q2 to 2023Q3 using the global vector autoregressive (GVAR) approach. We introduce...

This study examines how oil supply, demand, and risk shocks, along with geopolitical risks, impact the performance of clean and fossil fuel stocks. Using daily data from March 2014 to January 2022, advanced methods like wavelet quantile correlation (WQC), cross-quantilogram (QC), and...

This study investigates the impact of competition on credit risk in the Turkish banking system, focusing on Islamic (participation) and conventional banking under the same regulatory conditions regarding credit risk. The credit risk model is trained using CatBoost, extreme gradient boosting...

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 study revisits the macroeconomic determinants of non-performing loans using a deep neural network (DNN). We present the proposed DNN as a methodological framework that combines deep learning techniques and causal inference methods. We employ a rigorous triple-validation methodology that...

This study examines the impact of board gender diversity (BGD) on Environmental, Social, and Governance (ESG) performance, with a focus on the moderating roles of financial performance (Return on Assets), board meeting frequency (BMF), and foreign board members (FBM). Panel regression analysis...

Cryptocurrency is the most innovative financial and technological breakthrough of this generation. Investment in cryptocurrency grew from USD 11.18 billion in December 2016 to USD 2.147 trillion in April 2024; however, the rationality of investor exuberance is uncertain. This paper explores...