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Towards a better understanding of renewable energy YieldCos

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  • Srinivasan, Sunderasan
  • Reddy, Vamshi Krishna

Abstract

For Renewable Energy YieldCos to disburse high and growing present-day dividends at the cost of delayed debt-service and avoided capital expenditure is clearly unsustainable. Expecting to issue new stock at ever-higher prices to pay incumbent investors ever-higher dividends represents the foundations of a pyramidal scheme, which is most likely to unravel sooner rather than later. In the medium-term, YieldCos may be expected to offer positive and reasonably stable annualized returns, certainly not entirely “risk-free” as frequently perceived though, displaying characteristics of a bond rather than those of an equity share. This paper also demonstrates the application of the real option valuation framework to prioritize investments into YieldCos with stocks classified in order of the returns they offer, and conditioned by the volatility of such returns.

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  • Srinivasan, Sunderasan & Reddy, Vamshi Krishna, 2016. "Towards a better understanding of renewable energy YieldCos," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 154-163.
  • Handle: RePEc:eee:rensus:v:65:y:2016:i:c:p:154-163
    DOI: 10.1016/j.rser.2016.06.047
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    1. Shahmohammadi, M. Sadegh & Mohd. Yusuff, Rosnah & Keyhanian, Sina & Shakouri G., Hamed, 2015. "A decision support system for evaluating effects of Feed-in Tariff mechanism: Dynamic modeling of Malaysia’s electricity generation mix," Applied Energy, Elsevier, vol. 146(C), pages 217-229.
    2. Franklin R. Edward, 1999. "Hedge Funds and the Collapse of Long-Term Capital Management," Journal of Economic Perspectives, American Economic Association, vol. 13(2), pages 189-210, Spring.
    3. ., 2013. "Customer-owned businesses – the wider picture," Chapters, in: Finance in an Age of Austerity, chapter 11, pages 182-209, Edward Elgar Publishing.
    4. ., 2013. "Business enterprises and the making of the modern world," Chapters, in: Entrepreneurship and Multinationals, chapter 1, pages 1-12, Edward Elgar Publishing.
    5. Stonham, Paul, 1999. "Too close to the hedge: the case of long term capital management LP: Part two: near-collapse and rescue," European Management Journal, Elsevier, vol. 17(4), pages 382-390, August.
    6. ., 2013. "Earth's Business Cycle," Chapters, in: Earth Economics, chapter 3, pages 25-38, Edward Elgar Publishing.
    7. del Río, Pablo & Cerdá, Emilio, 2014. "The policy implications of the different interpretations of the cost-effectiveness of renewable electricity support," Energy Policy, Elsevier, vol. 64(C), pages 364-372.
    8. Harold James, 2012. "Krupp: A History of the Legendary German Firm," Economics Books, Princeton University Press, edition 1, number 9680.
    9. Ahmad, Salman & Tahar, Razman Mat & Muhammad-Sukki, Firdaus & Munir, Abu Bakar & Rahim, Ruzairi Abdul, 2015. "Role of feed-in tariff policy in promoting solar photovoltaic investments in Malaysia: A system dynamics approach," Energy, Elsevier, vol. 84(C), pages 808-815.
    10. Antonelli, Marco & Desideri, Umberto, 2014. "Do feed-in tariffs drive PV cost or viceversa?," Applied Energy, Elsevier, vol. 135(C), pages 721-729.
    11. ., 2013. "Conclusions: market, business and government," Chapters, in: Government Failure, chapter 11, pages 130-132, Edward Elgar Publishing.
    12. Woo, C.K. & Horowitz, I. & Moore, J. & Pacheco, A., 2011. "The impact of wind generation on the electricity spot-market price level and variance: The Texas experience," Energy Policy, Elsevier, vol. 39(7), pages 3939-3944, July.
    13. Fanone, Enzo & Gamba, Andrea & Prokopczuk, Marcel, 2013. "The case of negative day-ahead electricity prices," Energy Economics, Elsevier, vol. 35(C), pages 22-34.
    14. Hoppmann, Joern & Huenteler, Joern & Girod, Bastien, 2014. "Compulsive policy-making—The evolution of the German feed-in tariff system for solar photovoltaic power," Research Policy, Elsevier, vol. 43(8), pages 1422-1441.
    15. Alafita, T. & Pearce, J.M., 2014. "Securitization of residential solar photovoltaic assets: Costs, risks and uncertainty," Energy Policy, Elsevier, vol. 67(C), pages 488-498.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Cheng, Cheng & Dong, Kangyin & Wang, Zhen & Liu, Shulin & Jurasz, Jakub & Zhang, Haoran, 2023. "Rethinking the evaluation of solar photovoltaic projects under YieldCo mode: A real option perspective," Applied Energy, Elsevier, vol. 336(C).
    2. McInerney, Celine & Bunn, Derek W., 2019. "Expansion of the investor base for the energy transition," Energy Policy, Elsevier, vol. 129(C), pages 1240-1244.
    3. La Monaca, Sarah & Assereto, Martina & Byrne, Julie, 2018. "Clean energy investing in public capital markets: Portfolio benefits of yieldcos," Energy Policy, Elsevier, vol. 121(C), pages 383-393.

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