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Riccardo Pizzeghello

Macro Prud Policy&Financial Stability


Systemic Risk&Financial Institutions

Current Position

Financial Stability Analyst

Fields of interest

Financial Economics,Mathematical and Quantitative Methods,Other Special Topics



MSc in Banking and Finance, University of Padova, Padova, Italy


BSc in Economics, University of Padova, Padova, Italy

16 May 2024
Financial Stability Review Issue 1, 2024
Basis trades are arbitrage strategies which exploit mispricing between the spot price and the futures price of a given security. They improve market functioning but are also subject to funding and liquidity risks, especially when excessively leveraged. Hedge funds have built up leveraged exposures in the US Treasury market, giving rise to financial stability concerns. While risks are partly mitigated by already elevated margin requirements in the futures market, disruptions in the repo market could still force some entities to unwind their basis trades. Given the role of US Treasury bonds as global risk-free assets, dislocations resulting from widespread unwinding of basis trades could spill over into other jurisdictions and asset classes. Furthermore, a build-up of hedge fund exposures has also been observed in the euro area government bond market, but the size of basis trade activity seems contained.
JEL Code
G10 : Financial Economics→General Financial Markets→General
G11 : Financial Economics→General Financial Markets→Portfolio Choice, Investment Decisions
G12 : Financial Economics→General Financial Markets→Asset Pricing, Trading Volume, Bond Interest Rates
G13 : Financial Economics→General Financial Markets→Contingent Pricing, Futures Pricing
G15 : Financial Economics→General Financial Markets→International Financial Markets
11 October 2023
The systemic risk measure (SRISK) by V-Lab provides a market view of the vulnerability of financial institutions to a sudden downturn in the economy. To overcome the shortcoming that it cannot be applied to non-listed banks, SRISK characteristics of listed banks are mapped on balance sheet information. Systemic risk tends to be higher for banks that are larger, less profitable and have lower equity funding. Balance sheet information provides a surprisingly good approximation of SRISK for non-listed banks, when compared with banks’ capital depletion from the EU-wide stress testing exercises in 2018 and 2021. The proposed methodology can usefully complement the more thorough overview provided by traditional stress tests, providing supervisors the option to evaluate the systemic risks of the banking system at a higher frequency and at a fraction of the costs.
JEL Code
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G28 : Financial Economics→Financial Institutions and Services→Government Policy and Regulation
G1 : Financial Economics→General Financial Markets
6 September 2023
Transition to a carbon-neutral economy is necessary to limit the negative impact of climate change and has become one of the world’s most urgent priorities. This paper assesses the impact of three potential transition pathways, differing in the timing and level of ambition of emissions’ reduction, and quantifies the associated investment needs, economic costs and financial risks for corporates, households and financial institutions in the euro area. Building on the first ECB top-down, economy-wide climate stress test, this paper contributes to the field of climate stress testing by introducing three key innovations. First, the design of three short-term transition scenarios that combine the transition paths developed by the Network for Greening the Financial System (NGFS) with macroeconomic projections that allow for the latest energy-related developments. Second, the introduction of granular sectoral dynamics and energy-specific considerations by country relevant to transition risk. Finally, this paper provides a comprehensive analysis of the impact of transition risk on the euro area private sector and on the financial system, using a granular dataset that combines climate, energy-related and financial information for millions of firms with the euro area credit register and securities database and country-level data on households. By comparing different transition scenarios, the results of the exercise show that acting immediately and decisively would provide significant benefits for the euro area economy and financial system, not only by maintaining the optimal net-zero emissions path (and therefore limiting the physical impact of climate change), but also by limiting financial risk. An accelerated transition to a carbon-neutral economy would be helpful to contain risks for financial institutions and would not generate financial stability concerns for the euro area, provided that firms and households could finance their green investments in an orderly manner. However, the heterogeneous results across economic sectors and banks suggest that more careful monitoring of certain entity subsets and of credit exposures will be required during the transition process.
JEL Code
C53 : Mathematical and Quantitative Methods→Econometric Modeling→Forecasting and Prediction Methods, Simulation Methods
C55 : Mathematical and Quantitative Methods→Econometric Modeling→Modeling with Large Data Sets?
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
Q47 : Agricultural and Natural Resource Economics, Environmental and Ecological Economics→Energy→Energy Forecasting
Q54 : Agricultural and Natural Resource Economics, Environmental and Ecological Economics→Environmental Economics→Climate, Natural Disasters, Global Warming
Reports of the European Systemic Risk Board (ESRB)
  • ECB/ESRB Project Team on climate risk monitoring
SUERF Policy Brief no. 735
  • Emambakhsh, T., Fuchs, M., Kördel, S., Kouratzoglou, C., Lelli, C., Pizzeghello, R., Salleo, C., Spaggiari, M.
Reports of the European Systemic Risk Board (ESRB)
  • ECB/ESRB Project Team on climate risk monitoring