Original research
A review of tree-based approaches to solving forward–backward stochastic differential equations
This paper looks at ways of solving (decoupled) forward–backward stochastic differential equations numerically using regression trees.
Evaluation of backtesting techniques on risk models with different horizons
In this study different value-at-risk (VaR) models are analyzed under different estimation approaches (filtered historical simulation, extreme value theory and Monte Carlo simulation) and backtested with different techniques.
A market scoring mechanism for trading of German electricity futures
This paper present a novel systematic commodity trading model utilizing a time series momentum strategy.
The role of management accounting practices in operational risk management: the case of Palestinian commercial banks
This paper follows an exploratory, descriptive approach to investigate the role that management accounting practices plays in managing operational risks in the Palestinian commercial banking sector.
Strong-hand conjecture: agent-based numerical simulation
Following the example of the Kim–Markowitz model, this study adopts similar mechanisms of market operation to perform computer simulations based on agent modeling on the financial market, where shares of one company and a bank account are available …
Forecasting natural gas price trends using random forest and support vector machine classifiers
In this paper, different machine learning approaches are applied to forecasting future yearly price trends in the natural gas Title Transfer Facility market in the Netherlands.
Using equity, index and commodity options to obtain forward-looking measures of equity and commodity betas and idiosyncratic variance
This paper presents a means to extract forward-looking measures of equity and commodity betas, and idiosyncratic variance.
Backtesting of a probability of default model in the point-in-time–through-the-cycle context
This paper presents a backtesting framework for a probability of default model, assuming that the latter is calibrated to both point-in-time and through-the-cycle levels.
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.
An artificial neural network representation of the SABR stochastic volatility model
In this paper the universal approximation theorem of artificial neural networks (ANNs) is applied to the stochastic alpha beta rho (SABR) stochastic volatility model in order to construct highly efficient representations.
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.
A prudent loss given default estimation for mortgages. II
This paper introduces a prudent methodology to accurately estimates loss given default for mortgage portfolios and to stress test those portfolios effectively.
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.
Risk disclosures in annual reports: the role of nonfinancial companies listed on the Athens stock exchange
This study analyzes the risks disclosed by all nonfinancial companies listed on the Athens stock exchange by undertaking content analysis of their annual reports during the period 2005–11.
Cryptocurrency versus other financial instruments: how a small market affects a large market
This study analyzes the impact of cryptocurrencies on the function and position of financial markets.
Nonhomogeneous bivariate compound Poisson process with short-term periodicity
This paper presents new results on the nonhomogeneous bivariate compound Poisson process with a short-term periodic intensity function.
A pricing model with dynamic credit rating transition matrixes
This paper incorporates a stochastic credit rating transition matrix into the Acharya–Das–Sundaram model and implements a simulation based pricing method
The value-at-risk of time-series momentum and contrarian trading strategies
This paper not only provides a theoretical model for the value-at-risk of active and passive trading strategies but also discusses the substantial implications relevant to risk management.
Ex-intrusion corporate cyber risk: evidence from internet protocol networks
This study examines IP address footprints as a proxy for cyber risks in public firms.