Estimating the risk–return profile of new venture investments using a risk-neutral framework and ‘thick’ models
This study proposes cascade neural networks to estimate the model parameters of the Cox–Ross–Rubinstein risk-neutral approach, which, in turn, explain the risk–return profile of firms at venture capital and initial public offering (IPO)financing rounds. Combining the two methods provides better esti...
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| Format: | Article |
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Taylor & Francis
2014
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| Online Access: | https://eprints.nottingham.ac.uk/50934/ |