No disponible en español
Paweł Fiedor
- 6 August 2021
- WORKING PAPER SERIES - No. 2581Details
- Abstract
- This paper shows how the combined endogenous reaction of banks and investment funds to an exogenous shock can amplify or dampen losses to the financial system compared to results from single-sector stress testing models. We build a new model of contagion propagation using a very large and granular data set for the euro area. Based on the economic shock caused by the Covid-19 outbreak, we model three sources of exogenous shocks: a default shock, a market shock and a redemption shock. Our contagion mechanism operates through a dual channel of liquidity and solvency risk. The joint modelling of banks and funds provides new insights for the assessment of financial stability risks. Our analysis reveals that adding the fund sector to our model for banks leads to additional losses through fire sales and a further depletion of banks’ capital ratios by around one percentage point.
- JEL Code
- D85 : Microeconomics→Information, Knowledge, and Uncertainty→Network Formation and Analysis: Theory
G01 : Financial Economics→General→Financial Crises
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G23 : Financial Economics→Financial Institutions and Services→Non-bank Financial Institutions, Financial Instruments, Institutional Investors
L14 : Industrial Organization→Market Structure, Firm Strategy, and Market Performance→Transactional Relationships, Contracts and Reputation, Networks
- 29 July 2019
- WORKING PAPER SERIES - No. 99Details
- Abstract
- This paper documents the use of derivatives by securitisation special purpose entities (SPEs), also known as financial vehicle corporations (FVCs), domiciled in Ireland using transaction-level data established by the European Market Infrastructure Regulation. We show that these entities primarily engaged in interest rate derivatives over the period of 2015-2017. We find that larger entities that already engage in international capital markets are more likely to have derivative exposures. We also show that entities sponsored by banks and non-bank financial institutions are relatively more likely to engage in derivative markets. The characteristics of these bank sponsors are important in determining SPEs' engagement in derivative markets. SPEs' heavy reliance on debt finance coupled with their strong interconnectedness with bank sponsors underscores the importance of continuous monitoring and macroprudential surveillance of their derivative activities.
- JEL Code
- F30 : International Economics→International Finance→General
F36 : International Economics→International Finance→Financial Aspects of Economic Integration
G15 : Financial Economics→General Financial Markets→International Financial Markets
G23 : Financial Economics→Financial Institutions and Services→Non-bank Financial Institutions, Financial Instruments, Institutional Investors
- 29 March 2018
- OCCASIONAL PAPER SERIES - No. 14Details
- Abstract
- This ESRB Occasional Paper complements the publication of indicators on central counterparties (CCPs) in the ESRB's Risk Dashboard as part of its monitoring framework. It provides a methodological background to the development of the individual measures and discusses different aspects that should be considered when designing a monitoring framework for CCPs. The paper also highlights a number of areas in which more granular data are required in order, for example, to monitor the interconnectedness of CCPs within the broader financial system.CCPs play a key role in financial markets, as they reduce counterparty credit risk. This role is now heightened following post-crisis reforms of the over-the-counter (OTC) derivatives markets. Since CCPs may be viewed as systemically important institutions, it is crucial to ensure that they are regulated and monitored effectively. The ESRB has, therefore, sought to strengthen the framework used to analyse developments at CCPs in the EU from a macroprudential perspective.Each monitoring framework relies on the availability of suitable data. It is therefore positive that CCPs publish data on a quarterly basis under the CPMI-IOSCO public quantitative disclosure framework. These data provide a rich source of information covering several aspects of CCPs' functioning and are the basis of the indicators the ESRB has developed to analyse developments in central clearing in the EU.The indicators are designed to provide a macroprudential view over time of CCPs' resources, liquidity and collateral policies, margin and haircut requirements, interoperability arrangements as well as market structure and concentration at CCP level. The indicators cover all CCPs that are authorised within the EU, although the values of individual measures across CCPs should be analysed and interpreted with caution, bearing in mind that there are significant differences between individual CCPs’ business models, membership structures and products cleared.
- JEL Code
- G10 : Financial Economics→General Financial Markets→General
G18 : Financial Economics→General Financial Markets→Government Policy and Regulation
G23 : Financial Economics→Financial Institutions and Services→Non-bank Financial Institutions, Financial Instruments, Institutional Investors
G28 : Financial Economics→Financial Institutions and Services→Government Policy and Regulation
- 13 March 2018
- WORKING PAPER SERIES - No. 72Details
- Abstract
- Central clearing is a major part of the policy response to the financial crisis of 2008, aiming to reign in counterparty credit risk in derivatives markets. I perform an empirical study of the incentives for voluntary central clearing of OTC derivative contracts in Europe. Central clearing acts as insurance against counterparty credit risk related to derivative contracts, and is legally mandated for a specific subset of standardized derivative contracts, with a significant portion of the other contracts eligible for voluntary clearing. I show that there exist significant economies of scale in central clearing, in terms of both the size of each contract, and the scale of total clearing activity. I also show that maturity of the contract and international frictions affect voluntary clearing of different types of derivative contracts in different ways, linked to the conventional maturity and payout structures of various types of contracts. Finally, I show that significant amount of clearing happens only for credit and interest rate derivatives, while equity, foreign exchange, and commodity derivatives are rarely centrally cleared. The results validate theoretical literature, and guide future modeling of derivative markets.
- JEL Code
- C58 : Mathematical and Quantitative Methods→Econometric Modeling→Financial Econometrics
G28 : Financial Economics→Financial Institutions and Services→Government Policy and Regulation
G32 : Financial Economics→Corporate Finance and Governance→Financing Policy, Financial Risk and Risk Management, Capital and Ownership Structure, Value of Firms, Goodwill
- 15 September 2017
- WORKING PAPER SERIES - No. 54Details
- Abstract
- We perform a network analysis of the centrally cleared interest rate derivatives market in the European Union, by looking at counterparty relations within both direct (house) clearing and client clearing. Since the majority of the gross notional is transferred within central counterparties and their clearing members, client clearing is often neglected in the literature, despite its significance in terms of net exposures. We find that the client clearing structure is very strongly interconnected and contains on the order of 90% of the counterparty relations in the interest rate derivatives market. Moreover, it is more diverse in terms of geography and sectors of the financial market the counterparties are associated with. Client clearing is also significantly more volatile in time than direct clearing. These findings underline the importance of analysing the structure and stability of both direct and client clearing of the interest rate derivatives market in Europe, to improve understanding of this important market and potential contagion mechanisms within it.
- JEL Code
- G10 : Financial Economics→General Financial Markets→General
L14 : Industrial Organization→Market Structure, Firm Strategy, and Market Performance→Transactional Relationships, Contracts and Reputation, Networks
G23 : Financial Economics→Financial Institutions and Services→Non-bank Financial Institutions, Financial Instruments, Institutional Investors