In this work, we explore the information content of senior, subordinated and additional tier 1 (or contingent convertible) bonds issued by euro-area banks. We analyze both the asset volatility implied in senior and subordinated bonds and credit default swap market spreads, and the common equity tier 1 (CET1) ratio volatility extracted from additional tier 1 bonds secondary market spreads in the period from December 31, 2012 to March 31, 2021. Furthermore, we jointly consider the following important bank variables: asset, equity and CET1 ratio volatilities. In doing so, we can obtain the market view on credit spreads, banks balance sheet and capital ratio dynamics on a daily basis even if bank data are released quarterly. The approach can be used to monitor the risk of each bank, as perceived by the market, and to investigate banking fragility at a stand-alone or at a country level. Finally, we compare our estimated equity implied volatilities with the volatilities implied in equity option quotes and we show that this indicator depends on the model and the financial instruments considered in the calibration.

Bianchi M.L., Tassinari G.L. (2023). Extracting implied volatilities from bank bonds. QUANTITATIVE FINANCE, 23(7-8), 1177-1197 [10.1080/14697688.2023.2226370].

Extracting implied volatilities from bank bonds

Tassinari G. L.
2023

Abstract

In this work, we explore the information content of senior, subordinated and additional tier 1 (or contingent convertible) bonds issued by euro-area banks. We analyze both the asset volatility implied in senior and subordinated bonds and credit default swap market spreads, and the common equity tier 1 (CET1) ratio volatility extracted from additional tier 1 bonds secondary market spreads in the period from December 31, 2012 to March 31, 2021. Furthermore, we jointly consider the following important bank variables: asset, equity and CET1 ratio volatilities. In doing so, we can obtain the market view on credit spreads, banks balance sheet and capital ratio dynamics on a daily basis even if bank data are released quarterly. The approach can be used to monitor the risk of each bank, as perceived by the market, and to investigate banking fragility at a stand-alone or at a country level. Finally, we compare our estimated equity implied volatilities with the volatilities implied in equity option quotes and we show that this indicator depends on the model and the financial instruments considered in the calibration.
2023
Bianchi M.L., Tassinari G.L. (2023). Extracting implied volatilities from bank bonds. QUANTITATIVE FINANCE, 23(7-8), 1177-1197 [10.1080/14697688.2023.2226370].
Bianchi M.L.; Tassinari G.L.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/945258
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