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Papers by Séverine Plunus

American Journal of Industrial and Business Management, 2015

This paper introduces an investor-specific risk measure derived from the linear-exponential (line... more This paper introduces an investor-specific risk measure derived from the linear-exponential (linex) utility function. It combines the notions of risk perception and risk aversion. To make this measure interpretable and comparable with others like variance or value-at-risk, it is translated into an Equivalent Risky Allocation (ERA), where the risk value is matched with the one of a selected benchmark. We demonstrate that portfolio allocations are sensitive to risk perception. The linex risk measure provides more stable allocations and is closer to the target risk profile than the variance, while it provides better consistency of risk exposures over time than the value-at-risk.

International Review of Financial Analysis, 2012

ABSTRACT We examine bond market reactions to the announcement of operational losses by financial ... more ABSTRACT We examine bond market reactions to the announcement of operational losses by financial companies. Thanks to the fact the corporate debt is senior to equity, we interpret the cumulated abnormal returns on the bond market of the companies having suffered those losses as a pure reputational impact of operational loss announcements. For a given operational loss, bond returns might be affected at up to three different periods: at the first press release date, when the company recognizes the loss itself and at the settlement date. These impacts hold stronger than for common stocks. We also study the effect of investors' knowledge of the loss amount, and show that the type of operational event and the proportion of the loss in the firm's market value influence the effect of the loss announcement. Cross-sectional analysis indicates that the abnormal return is mostly affected by market-based characteristics for the first press release date, while firm-related characteristics largely affect bond returns upon loss recognition.

ABSTRACT We examine bond market reactions to the announcement of operational losses by financial ... more ABSTRACT We examine bond market reactions to the announcement of operational losses by financial companies. Thanks to the fact the corporate debt is senior to equity, we interpret the cumulated abnormal returns on the bond market of the companies having suffered those losses as a pure reputational impact of operational loss announcements. For a given operational loss, bond returns might be affected at up to three different periods: at the first press release date, when the company recognizes the loss itself and at the settlement date. These impacts hold stronger than for common stocks. We also study the effect of investors' knowledge of the loss amount, and show that the type of operational event and the proportion of the loss in the firm's market value influence the effect of the loss announcement. Cross-sectional analysis indicates that the abnormal return is mostly affected by market-based characteristics for the first press release date, while firm-related characteristics largely affect bond returns upon loss recognition.

Journal of Banking & Finance, 2010

By examining stock market reactions to the announcement of operational losses by financial compan... more By examining stock market reactions to the announcement of operational losses by financial companies, this paper attempts to disentangle operational losses from reputational damage. Our analysis deals with 154 events coming from the FIRST database of OpVantage. Events occurred between 1990 and 2004 in companies belonging to the financial sector and that are listed on the major European and US Stock Exchanges. Results show significant, negative abnormal returns at the announcement date of the loss, along with an increase in the volumes of trade. In cases of internal fraud, the loss in market value is greater that the operational loss amount announced, which is interpreted as a sign of reputational damage. Negative impact is proportionally greater when the loss amount represents a larger share in the company's net profit.

SSRN Electronic Journal, 2005

The scarcity of internal loss databases tends to hinder the use of the advanced approaches for op... more The scarcity of internal loss databases tends to hinder the use of the advanced approaches for operational risk measurement (AMA) in financial institutions. As there is a greater variety in credit risk modelling, this paper explores the applicability of a modified version of CreditRisk+ to operational loss data. Our adapted model, OpRisk+, works out very satisfying Values-at-Risk at 95% level as compared with estimates drawn from sophisticated AMA models. OpRisk+ proves to be especially worthy in the case of small samples, where more complex methods cannot be applied.

Applied Financial Economics, 2012

The scarcity of internal loss databases tends to hinder the use of the advanced approaches for op... more The scarcity of internal loss databases tends to hinder the use of the advanced approaches for operational risk measurement (Advanced Measurement Approaches (AMA)) in financial institutions. As there is a greater variety in credit risk modelling, this article explores the applicability of a modified version of CreditRisk+ to operational loss data. Our adapted model, OpRisk+, works out very satisfying Values-at-Risk (VaR) at 95% level as compared with estimates drawn from sophisticated AMA models. OpRisk+ proves to be especially worthy in the case of small samples, where more complex methods cannot be applied. OpRisk+ could therefore be used to fit the body of the distribution of operational losses up to the 95%-percentile, while Extreme Value Theory (EVT), external databases or scenario analysis should be used beyond this quantile.

American Journal of Industrial and Business Management, 2015

This paper introduces an investor-specific risk measure derived from the linear-exponential (line... more This paper introduces an investor-specific risk measure derived from the linear-exponential (linex) utility function. It combines the notions of risk perception and risk aversion. To make this measure interpretable and comparable with others like variance or value-at-risk, it is translated into an Equivalent Risky Allocation (ERA), where the risk value is matched with the one of a selected benchmark. We demonstrate that portfolio allocations are sensitive to risk perception. The linex risk measure provides more stable allocations and is closer to the target risk profile than the variance, while it provides better consistency of risk exposures over time than the value-at-risk.

International Review of Financial Analysis, 2012

ABSTRACT We examine bond market reactions to the announcement of operational losses by financial ... more ABSTRACT We examine bond market reactions to the announcement of operational losses by financial companies. Thanks to the fact the corporate debt is senior to equity, we interpret the cumulated abnormal returns on the bond market of the companies having suffered those losses as a pure reputational impact of operational loss announcements. For a given operational loss, bond returns might be affected at up to three different periods: at the first press release date, when the company recognizes the loss itself and at the settlement date. These impacts hold stronger than for common stocks. We also study the effect of investors' knowledge of the loss amount, and show that the type of operational event and the proportion of the loss in the firm's market value influence the effect of the loss announcement. Cross-sectional analysis indicates that the abnormal return is mostly affected by market-based characteristics for the first press release date, while firm-related characteristics largely affect bond returns upon loss recognition.

ABSTRACT We examine bond market reactions to the announcement of operational losses by financial ... more ABSTRACT We examine bond market reactions to the announcement of operational losses by financial companies. Thanks to the fact the corporate debt is senior to equity, we interpret the cumulated abnormal returns on the bond market of the companies having suffered those losses as a pure reputational impact of operational loss announcements. For a given operational loss, bond returns might be affected at up to three different periods: at the first press release date, when the company recognizes the loss itself and at the settlement date. These impacts hold stronger than for common stocks. We also study the effect of investors' knowledge of the loss amount, and show that the type of operational event and the proportion of the loss in the firm's market value influence the effect of the loss announcement. Cross-sectional analysis indicates that the abnormal return is mostly affected by market-based characteristics for the first press release date, while firm-related characteristics largely affect bond returns upon loss recognition.

Journal of Banking & Finance, 2010

By examining stock market reactions to the announcement of operational losses by financial compan... more By examining stock market reactions to the announcement of operational losses by financial companies, this paper attempts to disentangle operational losses from reputational damage. Our analysis deals with 154 events coming from the FIRST database of OpVantage. Events occurred between 1990 and 2004 in companies belonging to the financial sector and that are listed on the major European and US Stock Exchanges. Results show significant, negative abnormal returns at the announcement date of the loss, along with an increase in the volumes of trade. In cases of internal fraud, the loss in market value is greater that the operational loss amount announced, which is interpreted as a sign of reputational damage. Negative impact is proportionally greater when the loss amount represents a larger share in the company's net profit.

SSRN Electronic Journal, 2005

The scarcity of internal loss databases tends to hinder the use of the advanced approaches for op... more The scarcity of internal loss databases tends to hinder the use of the advanced approaches for operational risk measurement (AMA) in financial institutions. As there is a greater variety in credit risk modelling, this paper explores the applicability of a modified version of CreditRisk+ to operational loss data. Our adapted model, OpRisk+, works out very satisfying Values-at-Risk at 95% level as compared with estimates drawn from sophisticated AMA models. OpRisk+ proves to be especially worthy in the case of small samples, where more complex methods cannot be applied.

Applied Financial Economics, 2012

The scarcity of internal loss databases tends to hinder the use of the advanced approaches for op... more The scarcity of internal loss databases tends to hinder the use of the advanced approaches for operational risk measurement (Advanced Measurement Approaches (AMA)) in financial institutions. As there is a greater variety in credit risk modelling, this article explores the applicability of a modified version of CreditRisk+ to operational loss data. Our adapted model, OpRisk+, works out very satisfying Values-at-Risk (VaR) at 95% level as compared with estimates drawn from sophisticated AMA models. OpRisk+ proves to be especially worthy in the case of small samples, where more complex methods cannot be applied. OpRisk+ could therefore be used to fit the body of the distribution of operational losses up to the 95%-percentile, while Extreme Value Theory (EVT), external databases or scenario analysis should be used beyond this quantile.