Original research
Model risk in mortality-linked contingent claims pricing
The authors investigate the influence of model risk on pricing life products and demonstrate that classical Lee-Carter-type models can be less accurate than the proposed model.
Is volatility a friend or enemy of your stock and fund investments?
The authors investigate the role of past volatility in the cross section of returns on US stocks, equity mutual funds and corporate bond funds.
Islamic mutual funds: contracts, structures, screening and pricing mechanisms
The authors investigate the contracts, structures, screening, pricing mechanisms of Islamic Mutual Funds and attempt to harmonize and standardize the benchmarks of these funds
Quantification of model risk with an application to probability of default estimation and stress testing for a large corporate portfolio
This paper discusses the building of obligor-level rather than segment-level hazard rate corporate probability of default models for stress testing.
The statistics of capture ratios
This paper investigates the statistical problem of estimating the capture ratio based on a finite number of observations of a fund’s returns.
Adjoint differentiation for generic matrix functions
The authors develop and apply a formula to derive closed-form expressions in particular quantitative finance cases.
Simulating the Cox–Ingersoll–Ross and Heston processes: matching the first four moments
This paper investigates various techniques for the CIR and Heston models.
How does the pandemic change operational risk? Evidence from textual risk disclosures in financial reports
The authors investigate changes in operational risk profiles of the financial industry following the Covid-19 pandemic.
Multilevel Monte Carlo simulation for VIX options in the rough Bergomi model
The authors consider the pricing of the Chicago Board options Exchange VIX, demonstrating experiments highlighting the efficiency of a multilevel approach in pricing of VIX options.
Modeling systemic operational risk in the Covid-19 pandemic
This paper introduces existing and novel epidemiology models and investigates how government responses to the Covid-19 pandemic impacted these models.
Pricing the correlation skew with normal mean–variance mixture copulas
The author puts forward a pricing methodology for European multi-asset derivatives that consists of a flexible copula-based method that can reproduce the correlation skew and is efficient enough for use with large baskets.
Creating factor clusters in the alternative Undertakings for Collective Investment in Transferable Securities (UCITS) universe
The authors identify 7 clusters and provide insight into their current or prospective UCITS holdings by observing their performance in the context of the relevant cluster.
Changes in operational risk and its determinants under Covid-19
The authors investigate the operational risk impact of the Covid-19 pandemic on Chinese commercial banks and the moderating effect of bank size, business diversification and regulatory records.
Distance to default based on the CEV–KMV model
The author applies the CEV process to the KMV model in order to assess default risk, finding that this method improves forecasting ability.
Model risk quantification based on relative entropy
This paper proposes a minimum relative entropy technique for challenging derivatives pricing models that can also assess the model risk of a target portfolio.
An effective credit rating method for corporate entities using machine learning
The authors propose a new method to design credit risk rating models for corporate entities using a meta-algorithm which exploits information embedded in expert-assigned credit ratings to rank customers.
A multivariate model for hybrid wind–photovoltaic power production with energy portfolio optimization
The authors model the power production and income of a wind-photovoltaic energy plant to determine the portfolio that maximises profitability as well as the optimal choice between wind and photovoltaic plants.
Stressing of migration matrixes for International Financial Reporting Standard 9 and Internal Capital Adequacy Assessment Process calculations
This paper demonstrates that correlation estimates are sensitive to model assumptions and estimation methodology by comparing three methods used to stress rating transition matrixes.
Generalized additive modeling of the credit risk of Korean personal bank loans
The authors demonstrate a nonlinear impact of loan and borrower characteristics when applying a GAM framework to personal loans taken from a Korean bank.
Stressed distance to default and default risk
The authors propose a stressed version of distance to default to measure time-varying corporate default risk in the event of a systematic stress scenario.
Quantifying model selection risk in macroeconomic sensitivity models
The authors compare forecasts and uncertainties of three possibilities in model selection: the model selected as best, the best ensemble and the model not selected.
A two-component realized exponential generalized autoregressive conditional heteroscedasticity model
The authors propose a two-component EGARCH model for the modeling of asset returns and realized measures of volatility.
Shrinking beta
The authors shrink correlation and volatility separately and evaluate the predictive power of this approach, finding economically and statistically significant gains from applying more shrinkage to correlations than to volatilities.
Do DEXs work? Using Uniswap V2 to explore the effectiveness of decentralized exchanges
The authors investigate the effectiveness of the Ether–Tether liquidity pool on the Uniswap V2 and note that cointegration between the price set by the liquidity pool and its price elsewhere is a necessary condition of effectiveness.