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
Could holding multiple safe havens improve diversification in a portfolio? The extended skew-t vine copula approach
In this paper, the authors propose a vine copula model based on a bivariate extended skew-t distribution and derive its corresponding multivariate tail dependence function.
Loss given default estimation: a two-stage model with classification tree-based boosting and support vector logistic regression
In this paper, the authors using a data set composed of five Japanese regional banks, propose an loss given default estimation model using a two-stage model, classification tree-based boosting and support vector regression (SVR).
The implicit constraints of Fundamental Review of the Trading Book profit-and-loss-attribution testing and a possible alternative framework
This paper presents the constraints embedded in the the profit-and-loss-attribution test and explores a possible alternative framework.
Range-based volatility forecasting: an extended conditional autoregressive range model
This paper proposes an extended conditional autoregressive range (EXCARR) model to describe the range-based volatility dynamics of financial assets.
The implications of value-at-risk and short-selling restrictions for portfolio manager performance
This paper provides a framework to analyze the performance of a portfolio manager under a value-at-risk (VaR) constraint, in a Markowitz setup.
Second-order risk of alternative risk parity strategies
In this paper, the authors provide theoretical and empirical evidence of the contribution of second-order risk to realized volatility for alternative risk parity strategies.
Asymmetry herding behavior of real estate investment trusts: evidence from information demand
This paper investigates the effect of investor demand on herding behavior in the US real estate investment trusts (REITs) market by measuring investors’ information demand using Google’s search volume index.
Dependence dynamics among exchange rates, commodities and the Brazilian stock market using the R-vine SCAR model
The objective of this paper is to assess the dependence dynamics among Brazilian real exchange rates, commodity prices and the Brazilian stock market using a regular vine copula combined with the stochastic autoregressive copula model.
Measuring latent risk preferences: minimizing measurement biases
In this paper, the author uses a unique data set, containing the revealed risk preferences of 9235 subjects, elicited with four different methods, to estimate latent risk preferences.
Balance-sheet interest rate risk: a weighted Lp approach
In this paper, the authors introduce a new interest rate risk measure that is a product of two factors: one related to the distance between assets and liabilities in the Lp-space of financial instruments, and the other linked to the performance of the…
A three-state early warning system for the European Union
In this paper, the authors develop an early warning system for forecasting a financial crisis of the magnitude of the 2007–8 crisis for the European Union (the EU14).
A general framework for constructing bank risk data sets
This paper proposes a general framework for constructing bank risk data sets, which provides an integrated process from data sources to comprehensive risk data sets.
Covering the world: global evidence on covered calls
Typical covered call strategies may be decomposed, using a risk and performance attribution methodology, into three components: equity exposure, short volatility exposure and equity timing. This paper applies that attribution methodology to covered calls…
Optimal hedge ratios based on Markov-switching dynamic copula models
In this paper, the authors combine MS dynamic copulas with the skewed t SV model to study the optimal hedge ratios of portfolios.
A review of the fundamentals of the Fundamental Review of the Trading Book II: asymmetries, anomalies, and simple remedies
This paper highlights some anomalies and asymmetries in the new market risk paradigm of the Fundamental Review of the Trading Book (FRTB) framework.
Equity market impact modeling: an empirical analysis for the Chinese market
This paper discusses and derives the extremum of the expectation of permanent impact and realized impact by constructing several special trading trajectories in the Chinese market.
New backtests for unconditional coverage of expected shortfall
In this paper, the authors present a new backtest for the unconditional coverage property of expected shortfall.
Multifactor granularity adjustments for market and counterparty risks
In this paper, the authors propose several flexible families of models to manage the market and/or the counterparty risk of portfolios of financial assets.
Chaotic behavior in financial market volatility
In this paper, the authors present a robust method for the detection of chaos based on the Lyapunov exponent, which is consistent even for noisy and finite scalar time series.
Forecasting corporate defaults in the German stock market
In this paper, the authors estimate and test several default risk models using new and unique data on corporate defaults in the German stock market.
