Artikel

Structured climate financing: valuation of CDO on inhomogeneous asset pools

Recently, a number of structured funds have emerged as public-private partnerships with the intent of promoting investment in renewable energy in emerging markets. These funds seek to attract institutional investors by tranching the asset pool and issuing senior notes with a high credit quality. Financing of renewable energy (RE) projects is achieved via two channels: small RE projects are financed indirectly through local banks that draw loans from the fund's assets, whereas large RE projects are directly financed from the fund. In a bottom-up Gaussian copula framework, we examine the diversification properties and RE exposure of the senior tranche. To this end, we introduce the LH++ model, which combines a homogeneous infinitely granular loan portfolio with a finite number of large loans. Using expected tranche percentage notional (which takes a similar role as the default probability of a loan), tranche prices and tranche sensitivities in RE loans, we analyse the risk profile of the senior tranche. We show how the mix of indirect and direct RE investments in the asset pool affects the sensitivity of the senior tranche to RE investments and how to balance a desired sensitivity with a target credit quality and target tranche size.

Sprache
Englisch

Erschienen in
Journal: SN Business & Economics ; ISSN: 2662-9399 ; Volume: 1 ; Year: 2021 ; Issue: 4 ; Cham: Springer International Publishing

Klassifikation
Wirtschaft
Optimization Techniques; Programming Models; Dynamic Analysis
Contingent Pricing; Futures Pricing; option pricing
Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
Thema
Renewable energy finance
Structured finance
CDO pricing
LH++ model

Ereignis
Geistige Schöpfung
(wer)
Packham, N.
Ereignis
Veröffentlichung
(wer)
Springer International Publishing
(wo)
Cham
(wann)
2021

DOI
doi:10.1007/s43546-021-00057-6
Letzte Aktualisierung
10.03.2025, 11:45 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

  • Artikel

Beteiligte

  • Packham, N.
  • Springer International Publishing

Entstanden

  • 2021

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