Modeling renewable energy company risk

By Perry Sadorsky. 2012

188 citations recorded by the source corpus.

Subfields: Accounting, Economics and Econometrics, Finance

View Paper: https://www.semanticscholar.org/paper/cb56e39fd2acc5001a5b4385b955526798197484

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Citations in the corpus

Financing renewable energy infrastructures via financial citizen participation – The case of Germany (2014, background): “the analysis of different financing concepts [8,9], the characteristics of specific institutional investors [10,11] or an investor’s decision process [12], approaches to assess the cost of capital for investments in RETs [13] or financial barriers and policy instruments to induce investments in RETs”
How do oil prices, macroeconomic factors and policies affect the market for renewable energy? (2017, background): “Many studies indicated that an oil price increase has a positive impact on the RE investment in oil-importing countries ([8, 37, 11, 38, 39]).”
The multiple roles of state investment banks in low-carbon energy finance: An analysis of Australia, the UK and Germany (2018, background): “…Schmidt and Sewerin, 2017; Trancik et al., 2015), many projects are still perceived as risky by investors and are not financed (CPI, 2013; Hall et al., 2015; Jacobsson and Jacobsson, 2012; Jacobsson and Karltorp, 2013; Karltorp, 2015; Lang et al., 2015; Ondraczek et al., 2015; Sadorsky, 2012).”
A Random Forests Approach to Predicting Clean Energy Stock Prices (2021, unknown): “Popular modelling approaches include multifactor models (Henriques and Sadorsky 2008; Gupta 2017; Reboredo et al. 2017b; Bohl et al. 2013; Sadorsky 2012), vector autoregressions (Kumar et al. 2012; Dutta et al. 2018), or other approaches like wavelets (Maghyereh et al. 2019; Reboredo et al. 2017a),…”
From Hero to Zero: Evidence of Performance Reversal and Speculative Bubbles in German Renewable Energy Stocks (2013, unknown): “Interestingly, both Henriques and Sadorsky (2008) and Sadorsky (2012b) document that renewable energy stocks exhibit substantial market risk, as their betas range from 1.4 to even 2.”
Gold and crude oil as safe-haven assets for clean energy stock indices: Blended copulas approach (2019, methodology): “Sadorsky (2012b) also shows that an upsurge in international oil prices tends to decrease the risks of clean energy companies.”