This international peer-reviewed journal publishes a broad range of original research papers which aim to further develop understanding of financial risk management. As the only publication devoted exclusively to theoretical and empirical studies in financial risk management, The Journal of Risk promotes far-reaching research on the latest innovations in this field, with particular focus on the measurement, management and analysis of financial risk.
The Journal of Risk is particularly interested in papers on the following topics:
- Risk management regulations and their implications
- Risk capital allocation and risk budgeting
- Efficient evaluation of risk measures under increasingly complex and realistic model assumptions
- Impact of risk measurement on portfolio allocation
- Theoretical development of alternative risk measures
- Hedging (linear and non-linear) under alternative risk measures
- Financial market model risk
- Estimation of volatility and unanticipated jumps
- Capital allocation
Abstracting and Indexing: Scopus; Web of Science - Social Science Index; EconLit; EconBiz; ABI Research; and Cabell’s Directory
Impact Factor: 0.627
5-Year Impact Factor: 0.611
In this paper, the authors investigate the optimization of systemic risk based on DebtRank by considering two contagion channels: interbank lending and common asset holdings.
A review of the foreign exchange base currency approach under the standardized approach of the Fundamental Review of the Trading Book and issues related to the pegged reporting currency
When we adopt the parameters in the BCBS standards to calculate the delta risk charge, anomalies in the risk charges for the same risk exposure are found under different approaches and under different reporting currencies. The anomalies increase when the…
In this paper, the authors extend the related literature by examining whether the information on the US–China trade war can be used to forecast the future path of Bitcoin returns, controlling for various explanatory variables.
The author evaluates the usefulness of bias-correction methods in enhancing the Vasicek model for market risk and counterparty risk management practices.
Starting with an expert assessment of the climate risk factors over a specified horizon, then moving to a description of the expected number of climate events and the severity of the losses if an event occurs, the authors describe a framework to analyze…
The quality of a tail model, which is determined by data from an unknown distribution, depends critically on the subset of data used to model the tail. Based on a suitably weighted mean square error, the authors present a completely automated method that…
In this paper, a new method for computing the standard errors (SEs) of returns-based risk and performance estimators for serially dependent returns is developed.
The author assesses the quantitative effects of the recent proposal for more robust bank capital adequacy.
The authors investigate the puzzle in the literature that various parametric loss given default (LGD) statistical models perform similarly, by comparing their performance in a simulation framework.
The authors analyze the role of monetary policy uncertainty in predicting jumps in nine advanced equity markets.
In this paper, the author revisits optimal reinsurance problems by minimizing the adjusted value of the liability of an insurer, which encompasses a risk margin. The risk margin is determined by expectile.
The impact of corporate social and environmental performance on credit rating prediction: North America versus Europe
The authors quantify the extent to which the quality of credit rating predictions improves by integrating measures of corporate social performance (CSP) in an established credit risk model. Their analysis provides comprehensive evidence of the…
This paper examines the relationship between portfolio size and the stability of mutual fund risk measures, presenting evidence for economies of scale in risk management.
Economic policy uncertainty, investors’ attention and US real estate investment trusts’ herding behaviors
Using a quantile regression model, this study examines economic policy uncertainty and investors’ attention for policy risk on US real estate investment trusts’ (REITs’) herding behaviors.
The analysis in this paper reveals that additional fundamental risk gets transferred along supply chains, and that suppliers are exposed to additional fundamental risk that is not captured by their market beta. Suppliers are therefore exposed to…
Integrating macroeconomic variables into behavioral models for interest rate risk measurement in the banking book
This paper proposed a nonparametric approach to decompose a macroeconomic variable into an interest-rate-correlated component and a macro-specific component.
Range-based volatility forecasting: a multiplicative component conditional autoregressive range model
This paper proposes a multiplicative component CARR (MCCARR) model to capture the "long-memory" effect in volatility.
In this paper, we explore the procyclicality of initial margin requirements based on VaR volatility models.We suggest procyclicality can be reduced using a three-regime model rather than using ad hoc tools.
This paper proposes a new econometric model for the estimation of optimal hedge ratios (HRs): the Kalman filter error-correction model (KF–ECM).
In this paper the authors formulate a novel Markov regime-switching factor model to describe the cyclical nature of asset returns in modern financial markets.