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Theoretical background: The 2008/2009 financial crisis, the COVID-19 pandemic outbreak in 2020 or the Russian invasion of Ukraine in February 2022, all these affected market volatility causing greater interest in counterparty credit risk (CCR) management especially in the OTC derivatives market. This study investigates selected method to mitigate the CCR, namely the application of various risk limits. The research is focused particularly on the pre-settlement risk that financial institutions face after transaction conclusion until the contract’s final settlement. Instead of one single limit there may be a wide range of different treasury limits (a multiple treasury limit setup) applied not only to cover the credit exposure but also to support and enhance the entire market risk management process and day-to-day operations in the financial institutions. Purpose of the article: The paper examines treasury limits employed to manage pre-settlement risk in the Polish OTC derivatives market in the relation between financial institution and non-financial institution. The current literature on this subject includes works on various risk limits, especially in the Polish inter-bank market, however, there is still no broader view on this topic from the analysed perspective. The study indicates different pre-settlement risk limits to be applied in practice both for daily and credit-related transactions considering multiple determinants, such as counterparty and financial instrument type, asset class or collateral form. Research methods: Research methods comprise the analysis of guidelines and recommendations of the Polish Financial Supervision Authority as well as reports, documents and market risk management principles of selected financial institutions. Particular attention is paid to the analysis of legal backgrounds on treasury limits in Poland and bank’s sources, such as master agreements, general conditions of cooperation in the field of treasury products, regulations, information brochures, etc. Selected data from the 2022 Triennial Central Bank Survey of Foreign Exchange and OTC Derivatives Market Activity in Poland is used in the context analysis. Main findings: Different determinants of pre-settlement risk limit setup are identified and on this basis a directory of pre-settlement treasury limits is developed. The paper indicates also some challenges related to their practical application, concerning, for instance, the breaches of contractual terms (events of default), timely renewal of treasury limit or issues regarding the market risk estimation.

Quantum computing allows a significant speed-up over traditional CPU- and GPU-based algorithms when applied to particular mathematical challenges such as optimisation and simulation. Despite promising advances and extensive research in hard- and software developments, currently available quantum systems are still largely limited in their capability. In line with this, practical applications in quantitative finance are still in their infancy. This paper analyses requirements and concrete approaches for the application to risk management in a financial institution. On the examples of Value-at-Risk for market risk and Potential Future Exposure for counterparty credit risk, the main contribution lies in going beyond textbook illustrations and instead exploring must-have model features and their quantum implementations. While conceptual solutions and small-scale circuits are feasible at this stage, the leap needed for real-life applications is still significant. In order to build a usable risk measurement system, the hardware capacity—measured in number of qubits—would need to increase by several magnitudes from their current value of about 10 2 . Quantum noise poses an additional challenge, and research into its control and mitigation would need to advance in order to render risk measurement applications deployable in practice. Overall, given the maturity of established classical simulation-based approaches that allow risk computations in reasonable time and with sufficient accuracy, the business case for a move to quantum solutions is not very strong at this point. [ABSTRACT FROM AUTHOR]

We consider the problem of computing the credit value adjustment (CVA) of a European option in presence of the wrong way risk in a default intensity setting. Namely we model the asset price evolution as solution to a linear equation that might depend on different stochastic factors and we provide an approximate evaluation of the option's price, by exploiting a correlation expansion approach, introduced in Antonelli and Scarlatti (Finance Stoch 13:269–303, 2009). We also extend our theoretical analysis to include some further value adjustments, for instance due to collateralization and funding costs. Finally, in the CVA case, we compare the numerical performance of our method with the one recently proposed by Brigo and Vrins (Eur J Oper Res 269:1154–1164, 2018) and Brigo et al. (Innovations in insurance, risk and asset management, WSPC proceedings, 2018), in the case of a call option driven by a GBM correlated with a CIR default intensity. We additionally compare with the numerical evaluations obtained by other methods. [ABSTRACT FROM AUTHOR]

This paper discusses issues that corporations will face when complying with the new International Financial Reporting Standards (IFRS) 7: Financial Instruments: Disclosures. The ruling may force companies to re-examine their approach to managing market, credit and liquidity risks as future transparency will uncover poor approaches to risk management or reveal strategic advantages to competitors. [ABSTRACT FROM AUTHOR]