Journal of Risk
ISSN:
1465-1211 (print)
1755-2842 (online)
Editor-in-chief: Farid AitSahlia
About this journal
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
Journal Metrics:
Impact Factor: 0.627
5-Year Impact Factor: 0.611
CiteScore: 0.29
Latest papers
Modeling the exit cashflows of private equity fund investments
This paper analyzes the realized exit cashflows of individual portfolio companies in a joint modeling framework that describes both the exit timing and the exit performance.
High-frequency movements of the term structure of US interest rates: the role of oil market uncertainty
This paper analyzes the impact of oil market uncertainty on the level, slope and curvature factors derived from the term structure of US interest rates.
A factor-based risk model for multifactor investment strategies
This paper presents a novel, practical approach to risk management for multifactor equity investment strategies.
Market efficiency and volatility within and across cryptocurrency benchmark indexes
This paper examines the way that market efficiency and volatility clustering in the cryptocurrency markets can be inferred from benchmark index performance.
Severe but plausible – or not?
In this paper, the authors apply a measure of statistical unusualness, called the Mahalanobis distance, to assess the plausibility of the scenarios used in the Federal Reserve's stress tests.
Estimating future value-at-risk from value samples, and applications to future initial margin
This paper discusses several methods to estimate fVaR or margin requirements and their expected time evolution, from simple options to more complex interest swaps.
Regularization effect on model calibration
This paper compares two methods to calibrate two popular models that are widely used for stochastic volatility modeling (ie, the SABR and Heston models) with the time series of options written on the Nasdaq 100 index to examine the regularization effect…
How to build a risk factor model for non-life insurance risk
In this paper the authors present a dependence model for non-life insurance risk based on risk factors, analogous to those generally used for life insurance or asset risk.
Are there multiple independent risk anomalies in the cross section of stock returns?
Using multivariate portfolio sorts, firm-level cross-sectional regressions and spanning tests, this paper shows that, in the cross section of stock returns, most commonly used risk measures in academia and in practice are separate return predictors with…
Ruin problems in a discrete risk model in a Markovian environment
This paper finds that the derivations in a previous paper by Yang et al (2019) are erroneous, and analyzes the risk model model correctly using the matrix analytic method.
Test for fractional degree stochastic dominance with applications to stock preferences for China and the United States
This paper develops the test statistics for fractional degree stochastic dominance and introduces a bootstrap method for determining the critical values of the tests.
Covariance estimation for risk-based portfolio optimization: an integrated approach
This paper presents a stochastic optimization framework for integrating time-varying factor covariance models in a risk-based portfolio optimization setting.
Modeling nonmaturing deposits: a framework for interest and liquidity risk management
This paper presents a generic framework for modeling nonmaturing deposits that can be used by banks for interest and liquidity risk management, funds transfer pricing and dynamic balance sheet management.
Time-varying tail dependence networks of financial institutions
In this paper time-varying tail dependence networks are constructed to investigate the complex interdependencies in the financial system.
Reinvestigating international crude oil market risk spillovers
This paper develops a copula-GARCH-MIDAS model to estimate the joint probability distribution of multivariate variables, and then derives CoVaR-type risk measures.
Bayesian nonparametric covariance estimation with noisy and nonsynchronous asset prices
This paper introduces a Bayesian nonparametric method to estimate the ex post covariance matrix from high-frequency data.
The impact of compounding on bond pricing with alternative reference rates
This paper looks at the impact of compounding on zero-coupon bond prices by considering the short rate when it follows a Gaussian diffusion process or a stochastic volatility jump-diffusion process.
Systemic risk of the Chinese stock market based on the mobility measures of the marginal expected shortfall
This paper applies the dynamic mixture copula model method and proposes a mobility measure of the marginal expected shortfall to depict the changing systemic risk in China’s mainland stock market and Hong Kong’s stock market.
Forecasting stock market volatility: an asymmetric conditional autoregressive range mixed data sampling (ACARR-MIDAS) model
This paper proposes an extension of the classical CARR model, the ACARR-MIDAS model, to model volatility and capture the volatility asymmetry as well as volatility persistence.
An examination of the tail contribution to distortion risk measures
This paper reports a method for analyzing the influence of the tail in calculations of distortion risk measures.
