Arbeitspapier

Enhancing gradient capital allocation with orthogonal convexity scenarios

Gradient capital allocation, also known as Euler allocation, is a technique used to redistribute diversified capital requirements among different segments of a portfolio. The method is commonly employed to identify dominant risks, assessing the risk-adjusted profitability of segments, and installing limit systems. However, capital allocation can be misleading in all these applications because it only accounts for the current portfolio composition and ignores how diversification effects may change with a portfolio restructuring. This paper proposes enhancing the gradient capital allocation by adding "orthogonal convexity scenarios" (OCS). OCS identify risk concentrations that potentially drive portfolio risk and become relevant after restructuring. OCS have strong ties with principal component analysis (PCA), but they are a more general concept and compatible with common empirical patterns of risk drivers being fat-tailed and increasingly dependent in market downturns. We illustrate possible applications of OCS in terms of risk communication and risk limits.

Sprache
Englisch

Erschienen in
Series: ICIR Working Paper Series ; No. 47/23

Klassifikation
Wirtschaft
Financial Institutions and Services: Government Policy and Regulation
Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
Externalities
Taxation and Subsidies: Externalities; Redistributive Effects; Environmental Taxes and Subsidies
Thema
Risk capital allocation
Scenario analysis
Risk communication
Risklimiting
Principal Component Analysis

Ereignis
Geistige Schöpfung
(wer)
Aigner, Philipp
Schlütter, Sebastian
Ereignis
Veröffentlichung
(wer)
Goethe University Frankfurt, International Center for Insurance Regulation (ICIR)
(wo)
Frankfurt a. M.
(wann)
2023

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Aigner, Philipp
  • Schlütter, Sebastian
  • Goethe University Frankfurt, International Center for Insurance Regulation (ICIR)

Entstanden

  • 2023

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