Technical paper
Machine learning hedge strategy with deep Gaussian process regression
An optimal hedging strategy for options in discrete time using a reinforcement learning technique
The European intraday electricity market: a modeling based on the Hawkes process
This paper deals with the modeling of trading activity on the European electricity intraday market by a self-exciting point process.
Concentration in cleared derivatives: the case for broadening access to direct central counterparty clearing
In this paper, the authors explore the benefits and challenges of encouraging major end-users of derivatives to become direct clearing members of central counterparties (CCPs).
Finding the corporate credit cycle for IFRS 9
Decomposing corporate default rates helps identify credit cycles
Does the source of information influence depositors’ withdrawal intentions during operational events?
The objective of this paper is to identify whether depositors’ intentions to withdraw funds during operational risk events differ based on the source of information.
A FAVAR modeling approach to credit risk stress testing and its application to the Hong Kong banking industry
In this paper, a credit risk stress testing model based on the factor-augmented vector autoregressive (FAVAR) approach is proposed to project credit risk loss under stressed scenarios.
Too much, too young: improving the client clearing mandate
We present new evidence of the distribution of risk in client portfolios and use this to motivate clearing policy improvements.
The liquefied natural gas spot market and valuation of the rerouting option
The goal of this paper is twofold: (1) to describe the new outlook of LNG markets, which has become more and more spot-centric, with Asian LNG futures bringing transparency to spot and forward prices; and (2) to address the valuation of the rerouting…
Performance of value-at-risk averaging in the Nordic power futures market
The authors investigate the performance of various value-at-risk (VaR) models in the context of the highly volatile Nordic power futures market, examining whether simple averages of models provide better results than the individual models themselves.
Credit exposure under the new standardized approach for counterparty credit risk: fixing the treatment of equity options
The new standardized approach for measuring counterparty credit risk exposures (SA-CCR) will replace the existing regulatory standard methods for exposure quantification. This paper provides empirical evidence that the SA-CCR parameters are not aligned…
Hypothetical yield curve scenarios for credit stress testing
In this paper, we discuss a set of hypothetical yield curve shift scenarios generated by applying extreme value distributions and a shaping procedure. These statistically derived hypothetical stress scenarios could be susceptible to model risk, leading…
Decomposing supply shocks in the US electricity industry: evidence from a time-varying Bayesian panel vector autoregression model
This paper investigates spillovers between electricity supply shocks and US growth, using monthly data from forty-eight US states from January 2001 to September 2016, and employs a novel strategy for electricity supply shocks based on a time-varying…
Corporate default risk modeling under distressed economic and financial conditions in a developing economy
The authors create stepwise logistic regression models to predict the probability of default for private nonfinancial firms under distressed financial and economic conditions in a developing economy. Their main aim is to identify and interpret the…
A joint model of failures and credit ratings
The authors propose a novel framework for credit risk modeling, where default or failure information and rating or expert information are jointly incorporated in the model.
Differential machine learning: the shape of things to come
A derivative pricing approximation method using neural networks and AAD speeds up calculations
CCP discounting big bang: convexity adjustment
The collateral transition to SOFR will create convexity adjustments that need to be modelled
Benchmarking loss given default discount rates
This paper provides a theoretical and empirical analysis of alternative discount rate concepts for computing loss given default rates using historical bank workout data.
The impact of corporate social and environmental performance on credit rating prediction: North America versus Europe
The authors quantify the extent to which the quality of credit rating predictions improves by integrating measures of corporate social performance (CSP) in an established credit risk model. Their analysis provides comprehensive evidence of the…
Equally diversified or equally weighted?
New diversification measure enables construction of equally diversified portfolios
Fund size and the stability of portfolio risk
This paper examines the relationship between portfolio size and the stability of mutual fund risk measures, presenting evidence for economies of scale in risk management.
Benchmark reform goes non-linear
Terminating Libor will bring great challenges to the pricing of non-linear rate products
Network sensitivity of systemic risk
Here, we address the more general problem of how shock propagation dynamics depend on the topological details of the underlying network. To this end, we consider different realistic network topologies, all consistent with balance sheet information…
A k-means++-improved radial basis function neural network model for corporate financial crisis early warning: an empirical model validation for Chinese listed companies
This paper aims to simplify the early warning model for financial crises by collecting and analyzing the financial data of Chinese special treatment (ST) companies, normally listed companies and cancel special treatment (CST) companies.
Elliptical and Archimedean copula models: an application to the price estimation of portfolio credit derivatives
This paper explores the impact of elliptical and Archimedean copula models on the valuation of basket default swaps.