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
This paper proposes an extended conditional autoregressive range (EXCARR) model to describe the range-based volatility dynamics of financial assets.
This paper provides a framework to analyze the performance of a portfolio manager under a value-at-risk (VaR) constraint, in a Markowitz setup.
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.
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.
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.
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…
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).
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.
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…
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.
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.
In this paper, the authors present a new backtest for the unconditional coverage property of expected shortfall.
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.
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.
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.
The authors analyze the impact of different values of the VBS and sample size applied as inputs in a BV–VPIN model based on the US market in order to ascertain the optimal criteria for application across all other countries in our data set.
This paper analyzes the impact of different estimation window strategies, including structural breaks and forecast combinations, on forecasting common risk measures such as VaR and ES.
In this paper, the fractional trading ansatz of money management, also called growth optimal trading, is reconsidered. Special attention is paid to the chance and risk parts of the goal function for the related optimization problem.