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
Distance to default based on the CEV–KMV model
A two-component realized exponential generalized autoregressive conditional heteroscedasticity model
The authors propose a two-component EGARCH model for the modeling of asset returns and realized measures of volatility.
Shrinking beta
The authors shrink correlation and volatility separately and evaluate the predictive power of this approach, finding economically and statistically significant gains from applying more shrinkage to correlations than to volatilities.
Forecasting the European Monetary Union equity risk premium with regression trees
The authors use EMU data from the period between 2000 to 2020 to forecast equity risk premium and investigate Classification and Regression Trees.
Application of the moving Lyapunov exponent to the S&P 500 index to predict major declines
The authors suggest an innovative method based in econophysics that provides early warning signs for major declines in the S&P 500 Index
Future portfolio returns and the VIX term structure
The authors use a measure that captures the expected evolution of risk and generate results supportive of the concept that there are multiple facets within volatility risk that are priced individually.
A new approach to detecting change in credit quality
The author presents a new, computationally simple framework for quantifying and detecting changes in established companies' corporate credit quality.
Detecting prudence and temperance in risk exposure: the hybrid variance framework
This paper analyses the correlations between returns and HVs in the short and long terms while developing a risk measure designed to contain the impacts of prudence and temperance on risk aversion.
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.
