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This chapter aims the research whether the application of European Directive, Markets in Financial Instruments Directive (MiFID), had any significant effects on the European Capital Markets and the progress of the European Integration. This new regulation specifies the tasks and responsibilities of the supervisory authorities of the Member State of origin and the host Member State, in order to enhance the certainty of effectiveness of cross-border transactions supervision and to reduce the risk of imposing unnecessary legal reforms from the host Member State on investment firms which perform cross-border transactions. It has been concluded, among others, that the aligning of the national regulatory approaches to a common European regulatory system is quite necessary. It is finally concluded that MiFID will contribute to reduce problems at country level as the previous experience of the Investment Services Directive, where the European investments and economies of Member States were based mainly on the level of ‘country’ and not of the ‘sector’. An effective capital entrepreneurship market is a strategically important element in the development of new and innovative businesses, encouraging entrepreneurship, increasing the productivity and maintaining high economic growth rates in Europe. Currently, European venture capital market is much less effective than that of the US market, for example. Therefore, in this area, should be specified the priorities that will lead to new initiatives.

The chapter contains a methodology for formalized evaluation of the role of the Central Bank of the Russian Federation (Bank of Russia) in ensuring monetary and financial sustainability with the help of the monetary policy transmission mechanism and its inflation target regime. The significance of the research of the Bank of Russia operations to ensure financial sustainability is due to a number of circumstances: the uniqueness of the Bank of Russia that appeared only 27 years ago and experienced several devastating events related to the 1998 financial crisis, the global financial crisis of 2008–2009, and the stagnation of the Russian economy in 2014–2016, as well as high volatility of world prices for Russian commodity exports and the latest contra-Russian sanctions that significantly affected the volatility of the Russian ruble. Taking into account all the above, the issue of the Bank of Russia’s effective activities in the long run is aggravated by the fact that there are still more open questions than proven relationships of causes and effects regarding the potential of specific monetary policy instruments in the context of low-growth and high-volatility environment. The modeling of the Bank of Russia strategic and operational targets has been based on the parameters’ dependencies presented by the money (credit) multiplier in the interpretation of G. Schinasi (2006) and on the instability of stable economy hypothesis of H. Minsky (2008). As a result, there have been established the marginal levels of definite indicators of the banking system performance that could allow the Bank of Russia to ensure financial sustainability in the low-growth and high-volatility environment.

While China is currently moving toward the full development of its own financial derivatives markets, to date, China's experience with these has been a negative one. This paper examines the importance to China of developing a fully integrated financial derivatives market from both the economic and financial market perspectives. It examines the best way forward for derivative trading, both market based and over-the-counter, and the types of products best suited to both, given the current state of the Chinese financial markets. Consideration is given to market structure, regulation, trading and settlement systems and international cooperation.

Lai, Li, Conover, and Wu (2010) propose a four-factor financial distress model to explain stock returns in the U.S. and Japanese markets. We examine this model in the stock markets of Australia, and six Asian markets (Hong Kong, Indonesia, Korea, Malaysia, Singapore, and Thailand). We find broad empirical support for the four-factor financial distress risk asset-pricing model in those markets. The four-factor financial distress asset pricing model improves explanatory power beyond the Fama–French (1993) three-factor asset pricing model in six of the seven Asian-Pacific markets (12 of 14 portfolio groupings), while the Carhart (1997) momentum-based asset pricing model only improves explanatory power beyond the Fama–French model in three of the seven markets (4 of 14 portfolio groupings).

This study empirically investigates the relationship between goodwill assets and capital structure (i.e. debt ratio) of firms and the moderating effect of financial market development on the relationship between goodwill assets and capital structure.

This research applied a quantitative method. The article collects large samples of listed firms from 23 developing and nine developed countries and applied the panel data techniques. This research used firm-level data from the DataStream database for both developed and developing countries. The study uses 4,912 firm-level data from 23 developing countries and 4,303 firm-level data from nine developed countries.

The findings reveal a significant positive relationship between goodwill assets and capital structure in developing countries, but goodwill assets have a significant negative relationship with capital structure in developed countries. Moreover, financial market development positively moderates the relationship between goodwill assets and the capital structure of firms in developing countries. The results inform firm managers that goodwill assets serve as additional collateral to secure debt financing. Moreover, policymakers should formulate a debt market policy that recognizes goodwill assets as additional collateral for the purpose of obtaining debt capital.

The study has several implications. First, goodwill assets are identified as a factor of capital structure in this study. Fixed assets have been identified as one of the drivers of capital structure in previous research, although goodwill assets are seldom included. Second, this article shows that along with demand-side determinants, supply-side determinants also play an important role in terms of the firms' choice about the capital structure. Therefore, firms should take both the demand-side and supply-side factors into consideration when sourcing for external financing (i.e. debt capital).

The study considered goodwill as a component of capital structure. The study analysis includes a large sample of enterprises, including 4,912 big firms from 23 developing countries and 4,303 large firms from nine industrialized or developed countries, which adds to the current capital structure information. Furthermore, a large sample size increases the results' robustness and generalizability.

This chapter aims at examining financial distress issue by designing a comprehensive model to explain and predict financial distress in Egypt. This comprehensive model incorporates accounting ratios, market-based ratios and macroeconomic ratios. The sample of the existing research includes all the listed firms in two main sectors: basic resources and chemicals. Using logistic regression model, the results showed that adding market ratios and macroeconomic ratios enhances the predictability of the model and accounting information are not sufficient to explain financial distress.