The combination of stochastic derivative pricing models and downside risk measures often leads to the paradox (risk, return) = (−infinity, +infinity) in a portfolio choice problem. The construction of a portfolio of derivatives with high expected returns and very negative downside risk...

Distributed ledger technology (DLT) and cryptocurrency have revolutionized the financial landscape and relevant applications, particularly in investment opportunities. Despite its growth, the market's volatility and technical complexities hinder widespread adoption. This study proposes a...

This study examines the impact of investor attention on portfolio volatility and sectoral risk spillovers in Borsa Istanbul. We use advanced econometric models, including E-GARCH-X, GJR-GARCH-X, and multivariate BEKK-GARCH-X, and analyze daily data from January 2004 to June 2024. We find that...

As life expectancy increases, pension plans face growing longevity risk. Standardized longevity-linked securities such as survivor contracts allow pension plans to transfer this risk to capital markets. However, more consensus is needed on the appropriate mortality model and premium principle to...

This study examines the geographical spillover of the state-level average homeowners insurance cost for 48 US contiguous states. We estimate a panel spatial Durbin model with state and year fixed effect for data between 2001 and 2018. We found a significant positive spillover of average...

In this paper, I document that investor attention negatively predicts betting against beta returns. Using Google Search Volumes toward US market indices as my proxy to attention, I find that this relation holds after controlling for competitive factors and different search terminologies and in...

Background: Defining the optimal fleet portfolio is a crucial process in airline planning. The published efforts in literature provide ways to anticipate the disruption effects on the passenger demand; however, the proposed solution in this paper provides visibility on the impact of sustainable...

Retrieval-augmented generation (RAG) has emerged as a promising way to improve task-specific performance in generative artificial intelligence (GenAI) applications such as large language models (LLMs). In this study, we evaluate the performance implications of providing various types of...

Purpose - In futures markets, margin trading not only relaxes leverage constraints but also entails the risk of margin calls. Therefore, existing studies provide inconsistent evidence on low-risk anomalies, raising challenges in understanding leverage constraints in futures markets. This study...

We develop a novel stress testing framework to quantify the risks to the German banking sector from the green transition. Our methodology combines a macro-level and a micro-level approach to calculate scenario-dependent probabilities of default and losses. The macro approach leverages...

Purpose Focusing on the Brazilian equity mutual fund industry, this study analyzes whether including the investor sentiment index in asset pricing models is important for explaining fund alpha. Design/methodology/approach The investor sentiment index and risk factors in the Fama and French...

Using granular data from the Turkish banking system, we investigate the effect of credit guarantee schemes (CGSs) in 2017 and early 2018 on bank connectedness originating from common borrower firms. Our empirical findings show that the CGSs affect the connectedness of banks differently. While...

Digital currencies, including Bitcoins, Ethereum, and others, are an established alternative asset class opted by individual and institutional investors worldwide. However, this digital asset class carries several inherent risks. This study investigates the influence of three key risks,...

We investigate the effects of debt-capital ratio and expected inflation rate on the stability of the economy using a Minsky model and reconsidering Fisher's debt-deflation theory. We have developed static and dynamic models that formalize an inflation-targeting policy. The static model reveals...