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:
Journal Impact Factor: 0.915
5-Year Impact Factor: 0.756
CiteScore: 1.2
Latest papers
Pricing and optimization of sidecar and collateralized reinsurance portfolios with stochastic programming
This papers investigates problems in pricing and optimizing sidecar and collateralized reinsurance portfolios, employing a stochastic programming approach to solve these problems.
US regional banks: challenges and opportunities
The authors investigate the 2023 run on US regional banks, comparing the solvency and regulation of these banks with European counterparts.
Tracking toxicity in fast and complex markets
A novel means of tracking toxicity in high-frequency equity markets is put forward and demonstrated to adequately track flash crashes.
Volatility-sensitive Bayesian estimation of portfolio value-at-risk and conditional value-at-risk
The authors put forward a new means to integrate volatility information in the estimation of value-at-risk and conditional value-at-risk which is shown to be effective in risk estimation during volatile market conditions.
The impact of economic sentiment on financial portfolios during the recent turmoil
The authors investigate the influence of economic sentiment on financial portfolios during Covid-19 and the Russia-Ukraine conflict before conducting a portfolio management analysis on their data.
Optimal time-consistent reinsurance and investment strategies for multiple dependent types of insurance business and a unified investment framework
This paper puts forward a novel insurance and illustrate the impact of model parameters on optimal investment strategies.
Banking competition and systemic risk: evidence from China
The authors investigate the relationship of competition between Chinese banks and the stability of the banking system, finding that increasing competition leads to decreasing systemic risk.
Better anti-procyclicality? From a critical assessment of anti-procyclicality tools to regulatory recommendations
The authors carry out quantitative and qualitative analysis of anti-procyclicality tools and suggest policy measures intended to make APC tools more effective.
Multi-factor default correlation model estimation: enhancement with bootstrapping
The authors propose using a three-factor Merton model to allow more accurate quantification when investigating the credit risk of portfolios.
The impact of the Fundamental Review of the Trading Book: evaluation on a stylized portfolio
The authors investigate banks' market risk capital requirements under the internal models approach through the lens of the Basel Fundamental Review of the Trading Book, using data from the period 2007-19.
Conditional and unconditional intraday value-at-risk models: an application to high-frequency tick-by-tick exchange-traded fund data
The authors consider conditional and unconditional intraday value-at-risk models for high-frequency exchange-traded funds, providing results useful to practitioners of high-frequency trading.
Mean–variance insurance design under heterogeneous beliefs
The authors investigate a problem of optimal insurance in which the insured and the insure hold heterogenous beliefs concerning loss distribution and demonstrate their results with analytical and numerical examples.
Peak-to-valley drawdowns: insights into extreme path-dependent market risk
The authors investigate risk in relation to peak-to-valley market drawdowns and aim to gain insights into the drawdown behaviour of asset classes across time intervals.
Realized quantity extended conditional autoregressive value-at-risk models
The author presents models for improved Value-at-Risk forecasts and joint forecasts of Value at Risk and Expected Shortfall and demonstrates that high-frequency-data-based realized quantities lead to better forecasts.
Estimating the impact of climate change on credit risk
The author investigates the relationship between climate change and credit risk characteristics of individual obligors and portfolios of credit obligations.
Research on the premium for the joint lower-tail risk of liquidity and investor sentiment
The authors put forward the concept of the joint lower-tail risk of liquidity and investor sentiment and investigate the issue of lower-tail risk premiums in the Chinese stock market.
Extremes of extremes: risk assessment for very small samples with an exemplary application for cryptocurrency returns
The authors propose a means to carry out worst-case risk assessments from small sample sizes and demonstrate it using cryptocurrency returns as an example.
The importance of being scrambled: supercharged quasi-Monte Carlo
The authors propose a randomized quasi-Monte Carlo method which outperforms both the Monte Carlo and standard quasi-Monte Carlo methods.
An approach to capital allocation based on mean conditional value-at-risk
The authors put forward a means of Euler capital allocation where the probability level is adjusted such that the total capital is equal to the reference quantile-based capital level.
Using a skewed exponential power mixture for value-at-risk and conditional value-at-risk forecasts to comply with market risk regulation
The authors investigate a method that combines two skewed exponential power distributions and models the conditional forecasting of VaR and CVaR and is in compliance with the recent Basel framework for market risk.