The Possibility of Identifying Alpha-Companies by Statistical Methods on the Example of the ExpressLogistics Market In Russia

V. Vertogradov
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Abstract

The article attempts to evaluate the use of the conventional statistical apparatus to identify alpha companies in the Russian express logistics market. According to the theory of economic dominance, Alpha-companies occupy dominant positions in industry markets due to access to the cheapest resources and institutional advantages that allow them to build barriers to other players. Identification of such companies has traditionally been carried out by an expert method, including based on insider information, not available to external market players. The author describes the traditional tools used to identify the dominant market players [concentration indices (CR), Lind (L) and Herfindahl-Hirschman (HHI)], made calculations based on official statistics, data from open ratings and other available benchmarks for the express delivery industry in Russia, as well as a comparison with the results of determining alpha companies by an expert method. The author formulated hypotheses to explain the reasons for situations when companies with dominant capabilities are not interested in realizing their potential in a small market. Additionally, the author used some assumptions about the role of institutions regulating the market in case of sharp changes in market conditions.
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用统计方法识别阿尔法公司的可能性——以俄罗斯快递物流市场为例
本文试图利用传统的统计仪器来评估俄罗斯快递物流市场中的阿尔法公司。根据经济支配理论,阿尔法公司在行业市场中占据支配地位,因为它们可以获得最便宜的资源和制度优势,使它们能够对其他参与者建立障碍。这些公司的识别传统上是通过专家方法进行的,包括基于外部市场参与者无法获得的内幕信息。作者描述了用于识别主导市场参与者的传统工具[集中度指数(CR), Lind (L)和Herfindahl-Hirschman (HHI)],根据官方统计数据,公开评级数据和俄罗斯快递行业其他可用基准进行计算,并与专家方法确定alpha公司的结果进行了比较。作者提出假设来解释具有优势能力的公司在小市场中不愿意发挥其潜力的原因。此外,作者还对市场条件急剧变化时机构调节市场的作用作了一些假设。
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