Numerical Valuation of Investment Opportunities under Two-Factor Uncertainty
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F23%3A10258728" target="_blank" >RIV/61989100:27510/23:10258728 - isvavai.cz</a>
Výsledek na webu
<a href="https://mme2023.vse.cz/mme_2023_proceedings.pdf" target="_blank" >https://mme2023.vse.cz/mme_2023_proceedings.pdf</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Numerical Valuation of Investment Opportunities under Two-Factor Uncertainty
Popis výsledku v původním jazyce
Real options approach applies to a wide range of investment opportunities in order to help investors achieve better risk management and more robust financial outcomes. In this paper we focus on a decision-making framework that incorporates two sources of uncertainty in evaluating strategic investments, namely unit output commodity price and unit cost. Incorporating both factors provides a more realistic and accurate approach to evaluating embedded flexibilities, especially in highly uncertain environments. Using contingent claim analysis, the values of investment opportunities can be identified as solutions to the relevant two-factor Black-Scholes equations, adjusted to match the specific features of real options. As explicit formulae for this kind of PDE problem are only available in certain scenarios (as for conventional financial options), one must rely on numerical techniques in general. Inspired by the methodology from numerical valuation of one-factor real options, we employ and extend the discontinuous Galerkin approach to the two-factor option case exercisable at a fixed time (i.e., European-style option). Finally, the proposed numerical scheme is applied to a simple conceptual expansion decision problem for illustration purposes.
Název v anglickém jazyce
Numerical Valuation of Investment Opportunities under Two-Factor Uncertainty
Popis výsledku anglicky
Real options approach applies to a wide range of investment opportunities in order to help investors achieve better risk management and more robust financial outcomes. In this paper we focus on a decision-making framework that incorporates two sources of uncertainty in evaluating strategic investments, namely unit output commodity price and unit cost. Incorporating both factors provides a more realistic and accurate approach to evaluating embedded flexibilities, especially in highly uncertain environments. Using contingent claim analysis, the values of investment opportunities can be identified as solutions to the relevant two-factor Black-Scholes equations, adjusted to match the specific features of real options. As explicit formulae for this kind of PDE problem are only available in certain scenarios (as for conventional financial options), one must rely on numerical techniques in general. Inspired by the methodology from numerical valuation of one-factor real options, we employ and extend the discontinuous Galerkin approach to the two-factor option case exercisable at a fixed time (i.e., European-style option). Finally, the proposed numerical scheme is applied to a simple conceptual expansion decision problem for illustration purposes.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
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OECD FORD obor
50200 - Economics and Business
Návaznosti výsledku
Projekt
<a href="/cs/project/GA22-17028S" target="_blank" >GA22-17028S: Flexibilní nástroje pro strategické investice a rozhodování: analýza, oceňování a implementace</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
MME 2023 : Proceedings of the 41st International Conference on Mathematical Methods in Economics : September 13–15, 2023, Prague, Czech Republic
ISBN
978-80-11-04132-8
ISSN
2788-3965
e-ISSN
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Počet stran výsledku
6
Strana od-do
117-122
Název nakladatele
Czech Society for Operations Research
Místo vydání
Praha
Místo konání akce
Praha
Datum konání akce
13. 9. 2023
Typ akce podle státní příslušnosti
CST - Celostátní akce
Kód UT WoS článku
001551108000020