The relationship between banking market competition and risk-taking: Do size and capitalization matter?

This paper addresses the effects of bank competition on the risk-taking behaviors of banks in 10 Latin American countries between 2003 and 2008. We conduct our empirical approach in two steps. First, we estimate the Boone indicator, which is a measure of competition. We then regress this measure and other explanatory variables on the banking “stability inefficiency” derived simultaneously from the estimation of a stability stochastic frontier. Unlike previous findings, this paper concludes that competition affects risk-taking behavior in a non-linear way as both high and low competition levels enhance financial stability, while we find the opposite effect for average competition. In addition, bank size and capitalization are essential factors in explaining this relationship. On the one hand, the larger a bank is, the more it benefits from competition. On the other hand, a greater capital ratio is advantageous for banks that operate in collusive markets, while capitalization only enhances the stability of larger banks under high and average competition. These results are of extreme importance when considering bank regulations, especially in light of the recent turmoil in the global financial markets.     

Demographics and asset returns: does the dynamics of population ageing matter?

The empirical connection between the population age-structure and financial asset returns has been so far investigated with special focus on the US, whereby weak or disparate results are obtained. This paper aims to assess whether this connection is affected by the demographic dynamics. To this end the analysis is based on a stylized overlapping generation model and on the empirical investigation for Italy, which is experiencing one of the most pronounced ageing in the world and, specifically, steeper than the US one. Following the approach used for the US, stock returns and Government bond yields are regressed over demographic and/or control variables using annual data over 1958–2004. Results for Italy are more clear-cut and thus support the importance of the country-specific age-dynamics in explaining the impact of demographics on financial markets.     

The market reaction to cross-listings: Does the destination market matter?

This paper examines (i) whether market reactions to cross-listings differ across destination markets and (ii) to what extent the following explanations for value creation around cross-listings can account for differences in market reactions across cross-listings on various destination markets: overcoming market segmentation, increased market liquidity, improved information disclosure, and better investor protection (“bonding”). We analyze 526 cross-listings from 44 different countries on eight major stock exchanges and document significant announcement returns of 1.3% on average for cross-listings on US exchanges, 1.1% on London Stock Exchange, 0.6% on exchanges in continental Europe, and 0.5% (not significant) on Tokyo Stock Exchange. We find evidence consistent with improved disclosure and bonding creating value for cross-listings on US exchanges, while overcoming segmentation and bonding are associated with higher announcement returns on the London Stock Exchange. The evidence is mixed for continental European exchanges and for Tokyo. Our results highlight the role of the destination market in value creation around cross-listings.     

Why does shareholder protection matter for abnormal returns after reported insider purchases and sales?

We use a unique data set of more than 240,000 reported insider transactions across 15 European countries and the USA to analyze the link between country-level shareholder protection and abnormal returns following insider trades. We show that abnormal returns after insider transactions are positively correlated with country-level shareholder protection against expropriation by corporate insiders, which supports the information-content hypothesis. Market reaction to insider purchases increases with shareholder protection because shareholder protection enhances the transparency and trustworthiness of insiders’ actions, and limits possibilities for direct profit diversion, so that more information is eventually reflected in stock prices. For insider sales, shareholder protection decreases their negative information content. We conjecture that this is due to the effect of greater transparency and trustworthiness strengthening the diversification and liquidity reasons for selling in better shareholder protection countries. We find limited support for the rent-extraction hypothesis that conjectures that shareholder protection is associated with insider trading dollar profits.     

The output gap and stock returns: Do cyclical fluctuations predict portfolio returns?

This study examines whether the output gap leads portfolio stock returns. The paper conducts in-sample and out-of-sample forecasting of US stock portfolios formed on the basis of size and value. First, the paper finds cross-sectional portfolios are predictable in-sample by the output gap. Out-of-sample evidence is weaker but still generally supports the finding that the historical average benchmark can be beaten. Secondly and most importantly, we find mixed evidence that the Fama–French factor mimicking portfolios can be forecasted by the output gap. In particular, there is some out-of-sample predictability of the size effect (SMB) suggesting this lags the output gap. However, the output gap, a key business cycle indicator, cannot predict the value effect (HML) either in-sample or out-of-sample. Our results add to the prior literature which finds that the factor mimicking returns are related contemporaneously (Petkova and Zhang, 2005) or lead (Liew and Vassalou, 2000) economic indicators.     

The size and scope of government in the US states: does party ideology matter?

We investigate empirically how party ideology influences size and scope of government as measured by the size of government, tax structure and labor market regulation. Our dataset comprises 49 US states over the 1993–2009 period. We employ the new data on the ideological mapping of US legislatures by Shor and McCarty (Am. Polit. Sci. Rev. 105(3):530–551, 2011) that considers spatial and temporal differences in Democratic and Republican Party ideology. We distinguish between three types of divided government: overall divided government, proposal division and approval division. The main result suggests that Republican governors have been more active in deregulating labor markets. We find that ideology-induced policies were counteracted under overall divided government and proposal division.     

Infrastructure spillovers and strategic interaction: does the size matter?

We set up a model in which the residents of two neighboring municipalities use the services provided by public infrastructures located in both jurisdictions. The outcome is that municipalities strategically interact when investing in infrastructures, with the small municipality reacting more to the expenditure of its neighbor than the big one. This theoretical prediction is tested by estimating the determinants of the stock of public infrastructures of the municipalities belonging to the Autonomous Province of Trento in Italy. By introducing the classical spatial lag-error component, we find that municipalities positively react to an increase in infrastructures by their neighbors, but the effect vanishes above a given population threshold. Such a result is confirmed when we exploit the exogenous variation in the neighbors’ stock of infrastructures induced by a strong flood that occurred in the Province of Trento in 2000.     

How does the market variance risk premium vary over time? Evidence from S&P 500 variance swap investment returns

We explore whether the market variance risk premium (VRP) can be predicted. We measure VRP by distinguishing the investment horizon from the variance swap’s maturity. We extract VRP from actual S&P 500 variance swap quotes and we test four classes of predictive models. We find that the best performing model is the one that conditions on trading activity. This relation is also economically significant. Volatility trading strategies which condition on trading activity outperform popular benchmark strategies, even once we consider transaction costs. Our finding implies that broker dealers command a greater VRP to continue holding short positions in index options in the case where trading conditions deteriorate.     

The economic crisis: Did supervision architecture and governance matter?

Since the mid-1990s worldwide efforts were undertaken to improve the effectiveness of financial supervision, through modifications in the architecture and governance. Did these improvements mitigate the 2008–2009 Crisis? This paper brings the first systematic analysis of the role of three main efforts: consolidation in supervision, decreasing central bank involvement and improving supervisory governance. The analysis employs a new and complex database on supervisory architecture and governance for 102 countries and uses two new indicators to evaluate the supervisory regime: the Financial Supervision Herfindahl Hirschman (FSHH) and the Central Bank Supervisor Share (CBSS) Indexes. The empirical tests allow us to disentangle the relative effects of the supervisory regimes on macroeconomic resilience. We conclude that two supervisory features—supervisory consolidation and supervisory governance—were negatively correlated with resilience, while central bank involvement in supervision did not have any significant impact. Our results show that the conditions under which micro-features of the supervisory design produce automatically macro-optimal outcomes are far from identified, and consequently contradict what was the generally accepted view before the crisis.     

Does market structure matter on banks’ profitability and stability? Emerging vs. advanced economies

We empirically investigate the effects of market structure on profitability and stability for 1929 banks in 40 emerging and advanced economies over 1999–2008 by incorporating the traditional structure-conduct-performance (SCP) and relative-market-power (RMP) hypotheses. We observe that a greater market share leads to higher bank profitability being biased toward the RMP hypothesis in advanced economies, yet neither of the hypotheses is supported for profitability in emerging economies. The SCP appears to exert a destabilising effect on advanced banks, suggesting that a more concentrated banking system may be vulnerable to financial instability, however, the RMP seems to perform a stabilising effect in both economies. Evidence also highlights that profitability and stability increase with an increased interest-margin revenues in a less competitive environment for emerging markets. Overall, these results suggest that although policy measures to promote competition may dampen economic rent, excessive implementation may have an undesired destabilising impact on banks.     

The relationship between pension funds and the stock market: Does the aging population of Europe affect it?

In recent decades, pension fund investment has increased rapidly because of population aging and growing doubts about the viability of western public pension systems. As a result, pension funds have become dominant in stock markets. This paper examines the influence of the pension fund assets invested in equities on stock market development and the market efficiency of 13 European countries, from 1999 to 2014. Our results vary by country, by pension model and among the one-model countries. Nevertheless, revealing a concern about saving for retirement. Finally, our efficiency analysis reveals that the influence of pension funds varies over time and across markets, due to arbitrage opportunities that provoke adaptive managerial strategies.     

Does social network sentiment influence the relationship between the S&P 500 and gold returns?

This study explored the relationship between investor sentiment (extracted from the StockTwits social network), the S&P 500 Index and gold returns. We investigated bilateral causality between gold prices and S&P 500 prices, the power of investor sentiment and gold returns to predict S&P 500 returns, and the influence of gold returns on S&P 500 volatility. We also considered whether the influence of sentiment varies according to the user's degree of experience. We considered the sentiment of messages that mentioned the S&P 500 Index and that users posted between 2012 and 2016. Granger causality analysis, ARIMA models and GARCH models were used for predicting S&P 500 Index returns and S&P 500 volatility. We observed a causal relationship between gold price and the S&P 500 Index. Our results also suggest that sentiment and gold returns predict S&P 500 Index returns. Finally, we observed that gold returns influence S&P 500 volatility and that the sentiment of experienced users affects S&P 500 returns.     

Who works for startups? The relation between firm age,employee age,and growth

Young firms disproportionately employ and hire young workers. On average, young employees in young firms earn higher wages than young employees in older firms. Young employees disproportionately join young firms with greater innovation potential and that exhibit higher growth, conditional on survival. We argue that the skills, risk tolerance, and joint dynamics of young workers contribute to their disproportionate share of employment in young firms. Moreover, an increase in the supply of young workers is positively related to new firm creation in high-tech industries, supporting a causal link between the supply of young workers and new firm creation.     

Industry growth and capital allocation:: does having a market- or bank-based system matter?

Are market-based or bank-based financial systems better at financing the expansion of industries that depend heavily on external finance, facilitating the formation of new establishments, and improving the efficiency of capital allocation across industries? We find evidence for neither the market-based nor the bank-based hypothesis. While legal system efficiency and overall financial development boost industry growth, new establishment formation, and efficient capital allocation, having a bank-based or market-based system per se does not seem to matter much.     

Housing market dynamics in a small open economy: Do external and news shocks matter?

We study the sources of fluctuations in the housing market of a small open economy. We use an estimated dynamic stochastic general equilibrium (DSGE) model and data from seven small open economies to assess the quantitative effects of both contemporaneous and news shocks to domestic and external fundamentals on housing market dynamics. External shocks and news shocks have significant effects. Cyclical fluctuations in housing prices and housing investment are mainly driven by contemporaneous shocks related to foreign housing preferences and terms of trade, and by news shocks related to domestic consumption-goods technology, housing preferences and terms of trade. The spillover effects of external shocks on housing prices are notably larger than those of domestic shocks.     

The explanatory power of R&D for the cross-section of stock returns: Japan 1985–2000

This paper examines the role of research and development (R&D) in explaining the cross-section of stock returns in Japanese market for the period from 1985 to 2000. Economic intuition suggests that expected stock return and the risk of return should be positively related to R&D. We find moderate evidence that the average stock return is positively related to R&D expenditure in that period. The relation, however, is not stable over three subperiods of the sample. In the bubble-forming period (1985–1989), the average return is in fact slightly negatively related to the R&D intensity. In the burst-of-bubble period (1990–1992), the relation is slightly positive. Only in the post-bubble period (1993–2000) is the R&D effect positive and significant. We also examine the relations of the total risk and systematic risk of returns with the R&D intensity and find that only in the post-bubble period the R&D intensity contributes positively to the risks and its explanatory power is low.