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DARK FIBER VALUATION

机译:暗纤维估价

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Valuation of dark fiber has recently generated controversy, sparked particularly by the large sums booked for swaps of dark fiber between companies. One of the issues raised is valuation: i.e., what is the value of an asset that generates no revenue now and may do so at some unknown point in the future but only after investment, in an uncertain business climate, and where prices are dropping? The picture is further complicated because the result of investing to bring the asset to market (i.e. lighting the fiber) changes the supply and demand conditions of the market itself and hence invalidates price predictions. A realistic and consistent valuation methodology is necessary for increasingly cautious companies, auditors, and investors. In this paper we describe such a valuation methodology for dark fibre based on real options. Publicly available bandwidth price services start to make this practical by providing market price information. For dark fibre valuation the real option to be valued are the lighting decisions. We specifically include the effect on the market of adding new capacity by using the price-elasticity of demand within the stochastic price process itself, conditional on lighting decisions. Prices are generally volatile and decreasing with time. The evolution of lighting costs and maintenance are included in the valuation. The real options technique used here is novel in that it combines economic and market factors explicitly with mathematical finance to arrive at a valuation and optimal decisions. We found that the optimal lighting timing and capacity decisions to depend on many of the factors included in the analysis with no simple triggers: the details really matter.
机译:深色纤维的估值最近引起了争议,尤其是公司之间为交换深色纤维而预定的巨额款项引起了争议。提出的问题之一是估值:即,现在不产生收入并且可能在将来的某个未知时刻但只有在投资之后,不确定的商业环境中以及价格下跌的地方才产生收入的资产的价值是多少?由于将资产投入市场(即点亮光纤)的投资结果改变了市场本身的供求状况,从而使价格预测无效,因此情况变得更加复杂。对于越来越谨慎的公司,审计师和投资者,必须采用现实且一致的估值方法。在本文中,我们描述了一种基于实物期权的暗纤维估值方法。公开提供的带宽价格服务通过提供市场价格信息开始使这一点变得可行。对于暗光纤评估,真正要考虑的选择是照明决策。我们特别考虑了在随机价格过程本身中使用需求的价格弹性(取决于照明决策)对增加容量的市场影响。价格通常是波动的,并且会随着时间下降。评估中包括照明成本和维护费用的变化。这里使用的实物期权技术是新颖的,因为它将经济和市场因素与数学金融明确地结合在一起,可以得出估值和最佳决策。我们发现最佳照明时间和容量决定取决于分析中包含的许多因素,而没有简单的触发条件:细节确实很重要。

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