Using a panel dataset of 385 European bank-year observations covering the 2012 to 2022 period, this study aimed to investigate the impact of derivatives on bank value and performance. We used bank-level panel data and conducted several multivariate statistical analyses, i.e., ordinary least...

Our econometric (cointegration) analysis of the Swiss franc US dollar exchange rates over the period 1974 - 2025 provides strong evidence for a negative bias of the forward rate as predictor of the spot rate for the years up to 2007, which disappears with data from 2008 onwards. This implies...

Locational marginal pricing (LMP) provides efficient locational dispatch and investment signals but requires a complementary congestion hedging instrument to function effectively. This paper investigates how exposure to locational price differences is managed in North American nodal electricity...

Since the deregulation of electricity markets in the 1990s, U.S. power grids have witnessed the creation of an increasingly diverse suite of financial instruments designed to mitigate risks caused by underlying generation and consumption patterns. However, the nature of risks is shifting rapidly...

The literature on derivative pricing in illiquid markets has mostly focused on computing optimal hedging controls, but empirical microstructure studies show that large order flow generates persistent and predictable price effects. Therefore, these controls can themselves induce endogenous market...

Risk management has become increasingly important in the financial world. Considering its importance, it is necessary to measure these risks. The financial market uses two risk measures: Value at Risk (VaR) and Expected Shortfall (ES). After the subprime crisis, the market began to emphasize ES...

The main purpose of this study was to analyze the dynamics of the conditional correlation between Bitcoin and BOVA11 (a Brazilian stock market ETF that has seen a significant increase in foreign investors) across the pre-, during, and post-COVID-19 pandemic periods. This analysis allowed us to...

Water investments play an increasingly important role in sustainable finance, yet their response to climate policy uncertainty (CPU) under different market conditions remains poorly understood. This study examines the regime-dependent influence of CPU on water equity performance using monthly...

This study investigates the impact of exchange rate fluctuations on non-performing loans (NPLs), using a unique bank-by-bank dataset on lending to FX hedged and FX unhedged borrowers. Employing fixed effects and panel quantile regression, we analyze how changes in exchange rate affect the NPL...

We study the implications of deviations from covered interest rate parity for international capital flows using novel data covering euro-area derivatives and securities holdings. Consistent with a dynamic model of currency risk hedging, we document that investors' holdings of USD bonds decrease...

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...

Using novel methods, we comprehensively analyze volatility connectedness among most traded currencies using high-frequency data from 2009 to 2023. Our study presents the first empirical evidence of a statistically significant association between increases in connectedness and endogenously...

Our study presents an in-depth analysis of the interconnectedness in returns among five major cryptocurrencies from 2018 to 2023. Our work introduces novel findings by employing a novel bootstrap-after-bootstrap method of Greenwood-Nimmo et al. (2024) to establish a link between increases in...

In this study, we aim to provide a comprehensive analysis of the risk management potential of sectoral Credit Default Swaps (CDSs) within financial portfolios. Our objectives are threefold: (i) to investigate the safe haven properties of sectoral CDSs; (ii) to assess their hedging effectiveness...

Comonotonicity (''same variation'') of random variables minimizes hedging possibilities and has been widely used, e.g., in Gilboa and Schmeidler's ambiguity models. This paper investigates anticomonotonicity (''opposite variation''; abbreviated ''AC''), the natural counterpart to comonotonicity....

In this study, we investigate the return propagation mechanism, hedging effectiveness, and portfolio performance across several common agricultural commodities, crude oil, and S&P 500 index, ranging from July 2000 to June 2024 by using a time-varying parameter vector autoregression (TVP-VAR)...

We investigate the impact and propagation of geopolitical risk among oil-based energy commodities. First, we endogenously identify key geopolitical events affecting the connectedness among the oil-based commodities and then evaluate their transitory and persistent impacts. We identify four major...

This scientometric study delves into the integration of clean energy and fintech within investment portfolios, emphasising their role in sustainable development and Environmental, Social, and Governance (ESG) objectives. Through a systematic literature review (SLR) and advanced bibliometric...