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The Evolution of security designs

Noe, Thomas H. - ; Rebello, Michael J. - ; Wang, Jun - ;

We consider a competitive and perfect financial market in which agents have heterogeneous cash flow valuations. Instead of assuming that agents are endowed with rational expectations, we model their behavior as the product of adaptive learning. Our results demonstrate that adaptive learning affects security design profoundly, with securities mispriced even in the long run and optimal designs trading off underpricing against intrinsic value maximization. The evolutionary dominant security design calls for issuing securities that engender large losses with a small but positive probability, but that otherwise produce stable payoffs, almost the exact opposite of the pure state claims that are optimal in the rational expectations framework..Printed Journal


Ketersediaan

Call NumberLocationAvailable
PSB lt.dasar - Pascasarjana1
Penerbit: The American Finance Association
Edisi-
SubjekValuation
Cash flow
Rational Expectations
Simulation
Learning
Algorithms
Securities trading
studies
ISBN/ISSN221082
Klasifikasi-
Deskripsi Fisik-
Info Detail Spesifik-
Other Version/RelatedTidak tersedia versi lain
Lampiran BerkasTidak Ada Data

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