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Assessing and forecasting the market risk of bank securities holdings: a data-driven approach

Michele Leonardo Bianchi ()
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Michele Leonardo Bianchi: Financial Stability Directorate, Banca d’Italia

Risk Management, 2023, vol. 25, issue 4, No 5, 23 pages

Abstract: Abstract We use granular information on securities holdings from 2008 to 2021 to estimate the market risk of Italian bank securities portfolios. The market risk is measured by the value-at-risk and the expected shortfall. The main advantages of our approach are the following: (1) profits and losses are computed through simple operations and without the need of complex calibration algorithms; (2) we are able to incorporate all market data available in Refinitiv; and (3) the risk measures can be estimated for all banks located in Italy, irrespective if the bank has validated internal models for market risk or not. Finally, we conduct an econometric analysis to identify the main drivers of market risk and to perform a forecasting exercise.

Keywords: Banking regulation; Banking supervision; Market risk; Value-at-risk; Expected-shortfall; Historical simulation (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)

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DOI: 10.1057/s41283-023-00131-3

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