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This study examines dynamics of global and regional financial market efficiency; and how specific features of the market and other conditions influence variability in such efficiency.

The study employs fixed effects statistical approach in its examination of how specific features of financial markets influence variability in its efficiency.

This study finds that individual IMF defined economic regions tend to exhibits significantly different financial market efficiency characteristics given specific market features and conditions. In regional level comparative analysis (e.g. Europe, Africa, Asia–Pacific etc.) this study finds that incidence of financial market uncertainty is the dominant condition with significant effect on financial market efficiency across all the IMF regions. In the global level analysis, empirical estimates presented suggest that financial market uncertainty, financial institutional depth and financial institutional efficiency tend to have significant positive influence on global financial market efficiency all things being equal. In the same analysis however, this study finds that financial market and financial institutional access growth has significant negative impact on financial market efficiency.

The uniqueness of this study compared to related ones found in the literature stems from its focus on financial market efficiency at the global, and IMF defined regional block level instead of on a specific economy as often found in the literature. Additionally, in contrast to other related studies, this study further examines the role of global financial market uncertainty in its financial market efficiency analysis. Financial market uncertainty variable may be unique to this study because the variable is derived through an econometric process from a base variable.

The purpose of this paper is to empirically analyze the effect of the increasing connectedness among financial institutions in the Korean financial market, as it affects the market microstructure in the stock market. Thus this work, first, analyzes the trend and characteristics of connectedness in the Korean financial sector. This work then demonstrates the impacts of connectedness on volatility and price discovery in the stock market.

The entire Korean financial sector is analyzed from January 1990 to July 2015, including the periods of the 1997 Asian crisis and the 2007/2008 global financial crisis. This paper quantifies the connectedness between financial institutions using network methodology. Densely connectedness specifically refers to the cases in which a node experiences strong-lagged return spillover from and/or to itself.

Connectedness is established as an important determinant of stock price discovery. This paper illustrates that connectedness increases on significant economic events such as the 1997 Asian crisis and the 2007/2008 global financial crisis. Furthermore, this paper demonstrates that the more densely connected a particular financial institution, the more volatile the stock price and the less accurate the stock price quality.

Understanding the financial system from a network perspective has been on the rise after the 2007/2008 global financial crisis. This work helps regulators and policy makers understand the full implications of introducing new policies that can more closely connect financial institutions.

This paper precisely captures financial institutions’ connectedness by including all types of financial institutions at the micro level. Additionally, this paper links connectedness to market microstructure in the stock market.

Institutional investors—insurance companies, pension funds, investment trust companies and unit trusts—have increased significantly and persistently their ownership of British industry. At the end of 1977 they owned approximately 46 per cent of the ordinary shares in UK quoted companies and in recent years have accounted for over 50 per cent of stock market turnover in UK equities. Their presence in the stock market has been associated with their ability to influence share prices, decide the outcome of takeover battles, and trade outside the London Stock Exchange. As major shareholders in public companies they have been encouraged to participate in managerial decision‐making. For corporate management, the growth of institutional shareholdings provides opportunities to utilise their voting power in takeover situations, encourage their support for the market value of the company, and use financial institutions as sources of new capital.

The purpose of this paper is to assess product and service arrays of community banks within competitive markets that are impacted by varying sized financial institutions. A cost efficiency model is used to understand the relationship of product offerings and business cycle response upon bank performance.

A cost efficiency model is used to understand the relationship of product offerings and business cycle response upon bank performance. Markets comprised of alternate size and type of financial institutions are compared.

Greater values of X_EFF _i when institutions compete are observed in this analysis. Cost efficiency is lowest when community banks are the only institution in the market, and second lowest when credit unions are the only competing institutions. Call report data are analyzed from 1994 to 2013. The number of big banks increases community bank efficiency and efficiency of large banks. Also, the number of community banks does affect big bank cost efficiency. The magnitude of the effect pertaining to the number of community banks upon big bank efficiency is much smaller than that of the number of big banks on community bank efficiency.

This study considers cost efficiency and profitability as measures of institution on the performance of a competing institutional type. The modeling approach uses cost efficiency as a method of observing the performance of financial institutions and an explanation of how firms persist, grow, and respond to changes in technology or regulation. The effects of the presence of each type of financial institution on the performance of another type are compared. Situations in which any number of one or more institutional types is present in a market are considered for analysis purposes.

The purpose of this paper is to examine the events leading up to the Great Recession, the US Federal Reserve’s response to what it perceived to be a short-term liquidity problem, and the programs it put in place to address liquidity needs from 2007 through the third quarter of 2008.

These programs were designed to channel liquidity to some of the largest institutions, most of which were primary dealers. We describe these programs, examine available evidence regarding their effectiveness and detail which institutions received the largest amounts under each program.

We argue that increasing financial fragility and potential insolvencies in several major institutions were evident prior to the crisis. While it is inherently difficult to disentangle issues of illiquidity from issues of insolvency, failure to recognize and address those insolvency problems delayed necessary adjustments, undermined confidence in the financial system and may have exacerbated the crisis.

Disentangling issues of illiquidity from issues of insolvency is inherently difficult and so it is not possible to specify a definitive counterfactual scenario. Nonetheless, failure to recognize and address the insolvency problems in several major institutions until more than a year after the crisis had begun delayed the necessary adjustment and undermined confidence in the financial system.

This paper is among the first to analyze data showing the amounts of lending and the distribution of these loans across institutions under the Fed’s special liquidity facilities during the first 18 months of the financial crisis.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

This study examines whether Internet penetration has a complementary effect on the relationship between financial access and new business formation in 57 developing economies from 2006 to 2018.

Using the generalised least squares estimator, the authors employ a framework that allows us to distinguish between the marginal impact of financial access on new business formation in developing economies with high and low levels of Internet penetration rates. Furthermore, the authors distinguish between financial institutions and financial markets.

The authors find that increased accessibility for financial institutions promotes entrepreneurial activity, while financial market access has a negative relationship with new business formation. Furthermore, the authors find that the marginal impact of financial institution access increases in magnitude as Internet penetration increases. The effect does not hold for financial markets.

The major limitation lies in the measurement of new business formation, as it focuses on the formal entrepreneurial sector and overlooks the informal economy and entrepreneurs operating as sole proprietors.

Policymakers should continue to promote the development of the information communication and technology sector and digitalisation policy while increasing financial accessibility in the financial system.

This study provides new empirical evidence on the greasing role of technology to leverage the impact of financial access on new business formation. Furthermore, the study distinguishes this effect by differentiating between financial institutions and markets.

This study aims to shed new light on the nexus between market competition and financial development (FD), using the new FD index developed by the IMF, covering financial institutions and markets access, depth and efficiency.

The author uses panel data from 140 countries over 2000–2014 period and a dynamic generalized method of moments (GMM) model, along with a sensitivity analysis over 2008 financial crisis.

Strong evidence of the positive impact of market competition, as measured by Boone index, on financial institutions and markets development is found, whereas banks concentration has a damaging effect on FD. Commonly used Lerner index is found to be irrelevant. Interestingly, none of the competition indexes in this study affects financial institutions returns, which hold even over 2008 financial crisis, likely at the expense of depth and access in developing countries. Institutions, as proxied by control of corruption, have broader positive impact on FD, particularly on financial markets. These findings have important implications for developing countries keen to foster the development of their financial system.

Policymakers should take into consideration that FI are unlikely to undertake deep improvements in terms of credit allocation depth and inclusion on a volunteer basis, unless constrained by regulations. When promoting bank competition, it is recommended to diversify methods targeting market competition, notably by promoting financial business diversification and intermediary efficiency, and tackling collusion arrangements or interest groups influence. Second, it is important to support households and small and medium enterprises’ access to finance. Third, it is highly recommended to promote good institutions given their overall beneficial role in promoting the financial system as a whole, notably financial markets.

To the best of the author’s knowledge, this study is the first to fully use the new IMF Financial Development index. It covers financial institutions and markets access, depth and efficiency, whereas most of previous findings focus on access to credit or cost of credit. Besides, the study uses a larger panel data from 140 countries over 2000–2014 period and a dynamic GMM estimator, along with a sensitivity analysis over (2007–2009) crisis. By exploring the impact of three different competition indicators, namely, Boone, Lerner and banks concentration indexes, the study responds to the concerns regarding the limitations of each of them.

The purpose of this paper is to measure a single financial institution's contribution to systemic risk by using extremal quantile regression and analyzing the influential factors of systemic risk.

Extreme value theory is applied when measuring the systemic risk of financial institutions. Extremal quantile regression, where extreme value distribution is assumed for the tail, is used to measure the extreme risk and analyze the changes in and dependencies of risk. Furthermore, influential factors of systemic risk are analyzed using panel regression.

The key findings of the paper are that value at risk and contribution to systemic risk are very different when measuring the risk of a financial institution; banks’ contributions to systemic risk are much higher; and size and leverage ratio are two significant and important factors influencing an institution's systemic risk.

Characterizing variables of financial institutions such as size, leverage ratio and market beta should be considered together when regulating and constraining financial institutions.

To take extreme risk into account, this paper measures systemic financial risk using extremal quantile regression for the first time.

The purpose of this paper is to propose a game-theoretical model for commercial bank foreign direct investment strategy, government policy and domestic banking industry interactions in emerging market economies and demonstrate the application of this strategy to the banking system. Government policy and domestic banking industry interactions in emerging market economies and demonstrate the application of this strategy to the banking system.

The paper develops a game-theoretical model to analyze the optimality of the limiting entry strategy followed by a given domestic institutional sector when considering the entry applications of foreign banks in the domestic financial system. The model analyzes the strategic options available to an emerging market country with a relatively underdeveloped banking system when deciding whether or not and to what extent allow for the entrance of better reputed and more technologically advanced foreign banks in its domestic financial system.

The paper shows that the progressive liberalization of entry restrictions would define the perfect Bayesian equilibria of the subsequent set of continuation games and the respective payoffs derived from this liberalization as the domestic economy integrates and competes within the global financial system.

Banks operating in the international financial market have incentives to invest directly in emerging market economies and governments have incentives in allowing foreign banks entry to their market. As banking systems in these economies are generally underdeveloped, opening the financial system to foreign competitors could lead to a decrease in the market share of local banks. Eventually foreign banks could control the banking system and could de facto control the money supply.