Technical paper
An empirical evaluation of large dynamic covariance models in portfolio value-at-risk estimation
This research develops a framework adopting conditional covariance modeling combined with various de-noising methods to estimate the portfolio VaR and proves the importance of DCC over the sample rolling method widely used in the industry.
Quantifying model performance
Quality of replicating portfolio is used to measure performance of a model
Two-factor Black-Karasinski pricing kernel
Analytic formulas for bond prices and forward rates are derived by expanding existing rate models
Procyclicality mitigation for initial margin models with asymmetric volatility
In this paper, we explore the procyclicality of initial margin requirements based on VaR volatility models.We suggest procyclicality can be reduced using a three-regime model rather than using ad hoc tools.
The quadratic rough Heston model and the joint S&P 500/Vix smile calibration problem
A combination of rough volatility and price-feedback effect allows for SPX-Vix joint calibration
A new dynamic hedging model with futures
This paper proposes a new econometric model for the estimation of optimal hedge ratios (HRs): the Kalman filter error-correction model (KF–ECM).
A regime-switching factor model for mean–variance optimization
In this paper the authors formulate a novel Markov regime-switching factor model to describe the cyclical nature of asset returns in modern financial markets.
The impact of shareholders’ limited liability on risk- and value-based management
In this paper, we analyze the consequences of shareholders’ limited liability for the risk- and value-based investment decisions made by a nonlife insurer under solvency constraints.
Numerical simulation and applications of the convection–diffusion–reaction
This paper develops two local mesh-free methods for designing stencil weights and spatial discretization, respectively, for parabolic partial differential equations (PDEs) of convection–diffusion–reaction type.
Monte Carlo pathwise sensitivities for barrier options
In this work, we present a new Monte Carlo algorithm that is able to calculate the pathwise sensitivities for discontinuous payoff functions.
Option pricing in exponential Lévy models with transaction costs
We present an approach for pricing European call options in the presence of proportional transaction costs, when the stock price follows a general exponential Lévy process.
An adaptive Monte Carlo approach
This paper proposes a new, flexible framework using Monte Carlo methods to price Parisian options not only with constant boundaries but also with general curved boundaries.
Estimating the contagion effect through the portfolio channel using a network approach
This work studies contagion risk through the portfolio investment channel using network analysis and simulation on bilateral cross-country data.
The SABR forward smile
Thomas Roos presents the expressions for the implied volatilities of European and forward starting options
The joint S&P 500/Vix smile calibration puzzle solved
SPX and Vix derivatives are modelled jointly in an arbitrage-free setting
Current expected credit loss procyclicality: it depends on the model
This work looks at a wide range of models to test the degree to which CECL is procyclical for different types of model.
A sensitivity analysis of the alpha factor
In this paper, we investigate the alpha factor’s sensitivity to key model parameters under stylized portfolio assumptions in order to better understand its complex characteristics. Our analysis is based on the numerical simulation of alpha sensitivities…
Introducing stylized facts on electricity futures through a market impact model
This paper provides an alternative way to introduce the stylized facts on electricity futures.
International Financial Reporting Standard 9 expected credit loss estimation: advanced models for estimating portfolio loss and weighting scenario losses
In this paper, the authors propose a model to estimate the expected portfolio losses brought about by recession risk and a quantitative approach to determine the scenario weights. The model and approach are validated by an empirical example, where they…
Incremental value-at-risk
This paper proposes a novel method for estimating future operational risk capital: incremental value-at-risk (IVaR)
Measuring economic cycles in data
This paper determines if enough data is available for forecasting or stress testing, a better measure of data length is required.
Deep learning calibration of option pricing models: some pitfalls and solutions
Addressing model calibration and the issue of no-arbitrage in a deep learning approach
Smart derivative contracts: detaching transactions from counterparty credit risk
Introducing deterministic termination rules to eliminate counterparty risk in smart derivatives
The pricing of firm-specific risk in emerging markets
This paper finds that a zero-investment strategy that goes long (short) in the highest (lowest) quintiles of firm-specific risk earns overall positive excess returns across twenty-one emerging markets.