The dynamics between stock returns and mutual fund flows: empirical evidence from the Greek market

This paper examines the interaction between mutual fund flows and stock returns in Greece. Specifically, we investigate the possibility of a causality mechanism through which mutual funds flows may affect stock returns and vice versa. The statistical evidence derived from the error correction model indicates that there is a bidirectional causality between mutual fund flows and stock returns. Cointegration results show that mutual funds flows cause stock returns to rise or fall. This may be explained by the fact that, in Greece, equity mutual funds are obliged by law to invest a certain percentage of their cash in stocks. Thus, inflows and outflows of cash in equity funds seem to cause higher and lower stock returns in Greek stock market.     

Market Valuation and Equity Ownership Structure: The Case of Agency Conflict Regimes

This paper provides further evidence on the link between the firm's performance and the distribution of the common shares between insiders, blockholders and institutions. We endogenize the functional form of the market valuecommon equity structure relationship by using a switching regression methodology. This allows us to observe four distinct ownership structure types that constitute different agency conflict regimes. We provide evidence that supports the notion that investors recognize the existence of such regimes and assess market values differently depending on the type of agency regime the firm operates in. We find that firms with low insider stakes and low blockholder stakes and firms with high insider stakes and high blockholder stakes have the highest agency costs of free cash flow. We also find that the effect of the ownership variables on market values differs across regimes and that there are differences in the monitoring effectiveness of institutional holders and blockholders.     

R&D contribution in TFP growth of Greek industry: A limited information likelihood approach

We provide a novel panel model to decompose total factor productivity (TFP) growth in the Greek industry at the firm level while we tackle the contribution of R&D. We, therefore, opt for parametric methodology that provides statistical inference and would validate the results. Our modeling departs from prior strong assumptions such as error terms across firms being independent. In fact, we provide a novel limited information maximum likelihood (LIML) estimation method that adequately deals with the issue of endogeneity and model misspecification. We demonstrate that our model detects variability in terms of TFP growth components across industries and firms. Our results show that R&D would enhance TFP of Greek firms, albeit the crisis has had a detrimental impact. Financial ratios such as liquidity and solvency ratios also affect TFP as we demonstrate that both would enhance TFP. The solvency ratio is important as it provides an estimate of whether the firm can cope with debt. We also note variability across small versus medium and large firms and report that small firms are more productive and spend more of their revenues on R&D. In terms of policy, our evidence warrants higher R&D spending to enhance TFP growth, though R&D funding is a concern.     

STOCK MARKET CONSEQUENCES OF POLITICAL VIBRANCY

We define areas with strong geographic ties to powerful politicians as politically vibrant and show that they are characterized by greater value-relevant information generation and symptomatic of equity market segmentation. Political vibrancy entails greater levels of local bias and local comovement and has two important return predictability implications. First, it enhances local institutions’ informational advantages; their trades’ ability to forecast local stock returns exceeds that of nonlocal institutions. Second, in support of the view that information diffuses slowly into prices, stock returns of firms from politically vibrant areas predict returns of similar firms in other areas.     

International stock markets interactions and conditional correlations

This paper investigates the transmission of price and volatility spillovers across the US and European stock markets in bivariate combinations. The framework used encompasses the most popular multivariate GARCH models, with News Impact Surfaces employed for interpretation. By using synchronous data the dynamic conditional correlation model (Engle, R., 2002. Dynamic conditional correlation: a simple class of multivariate GARCH models. Journal of Business and Economic Statistics 20, 339–350) is found to best capture the relationships for over half of the bivariate combinations of markets. Other findings include volatility spillovers from the US to European markets, and a reverse spillover. In addition, the magnitude of the correlation between markets is higher not only for negative shocks in both markets, but also when a combination of shocks of opposite signs occurs.     

What drives inequality and poverty in the EU? Exploring the impact of macroeconomic and institutional factors

Employing panel data techniques, we investigate the macroeconomic and institutional determinants of inequality and poverty in the EU over the period 1994–2008. We pay particular attention to the effects of macroeconomic environment, social protection and labour market institutions. The empirical analysis shows that the social transfers in cash, and principally the transfers that do not include pensions, exert a prominent impact on inequality and poverty. Also significant is the effect of the GDP per capita. The impact of employment on inequality and poverty is not empirically sound. The same holds for the labour market institutions; an exception is the union density, which appears conducive to a less dispersed personal income distribution. Importantly, the results support the view that the social protection system acts as a catalyst in determining the effectiveness of social spending and the distributive role of economic growth and employment.     

On the nature of the capitalist state ∗

We assesss critically three existing economic perspectives, the neoclassical, the Austrian and the Marxist, on the question of the ‘nature of the capitalist state’. In particular we address the questions of the existence of the state, the state's ‘principal’, the principals' objectives and the growth and evolution of the state, and consider the answers provided by the three perspectives. We find all three perspectives limited, particularly in their treatment of history and dynamics. We suggest that the adoption of a dynamic perspective with historical considerations provides original and useful insights on the above questions and on the issues of ‘state autonomy’. We conclude that the capitalist state can be usefully regarded as an institutional device for the exploitation of the specialization and division of labour complementary to markets and firms, which driving force is the furthering of the interests of its principals (a controlling subject of the population), but subject to coonstraints, such as voting and exit.     

Intangible Assets and the Network Structure of MNCs

This paper examines the nature of the relationship between corporate intangible assets and the multinational network structure of the firm. Specifically, the question addressed in this paper is whether the nature of corporate intangible assets determines the mode of geographic expansion of the MNC. The interactive effects between the level and type of corporate intangibles and the foreign expansion path of MNCs are also examined. Based on the analysis of 362 MNCs, representing 88 three-digit SIC industries, the results of this study show that R&D-intensive MNCs maintain substantially more geographically diversified and less geographically focused operating networks than advertising-intensive MNCs. Furthermore, R&D-intensive MNCs' foreign investments create more value through geographic diversification, while non-R&D-intensive MNCs benefit the most by increasing the geographic focus of their foreign investment activities. We also document that MNCs without significant levels of technology know-how and marketing based intangible assets can benefit the most from geographic-focused rather than geographic-diversified foreign business operations.     

Profit efficiency in the European Union banking industry: a directional technology distance function approach

We employ the directional technology distance function approach and present estimates of profit efficiency in the 25 European Union (EU) member states over the period 1998–2008. This method decomposes profit efficiency into its technical and allocative components. We investigate potential efficiency differences across the old EU region and the new EU member states, across countries and across banks of different size. Our results indicate a significant level of profit inefficiency for the EU region, which is predominantly attributed to allocative inefficiency. Our findings also suggest that banks operating in the old EU region are, on average, more profit efficient than credit institutions in the new EU member states. Overall, we observe considerable variation of efficiency scores across countries and different patterns in efficiency change over time, as well as a negative relationship between bank size and efficiency.