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Article

Применение нейронных сетей и семантического анализа для прогнозирования банкротства

Корпоративные финансы. 2014. Т. 4. № 32. С. 130-141.
Макеева Е. Ю., Аршавский И. В.

This paper is concerned with stock liquidity as a factor in making capital structure decisions by managers of Russian firms. Although a big number of studies on capital structure occurred over the last few decades, stock liquidity has only recently attracted scholars’ attention as a possible driver for the choice of capital structure. Yet the existing papers are based on data from the developed capital markets. The latter differ substantially from the Russian market in terms of institutional environment and more liquid stocks. Against the background of revisions in the Russian clearing system that are expected to boost liquidity of stocks, this paper gains in currency.  

The theoretic mechanisms behind the interplay of stock liquidity and capital structure are discussed in previous studies. Lower stock liquidity is associated with higher transaction costs and informational asymmetry, and thus with higher required return. Therefore it is assumed that the managers aiming at firm value maximization would prefer debt to equity financing in case if stock is not liquid enough. There are also theoretic grounds to expect an opposite impact of capital structure on stock liquidity.