Other-regarding preferences and giving decision in a risky environment: experimental evidence

Review of Economic Design - We investigate whether and how an individual giving decision is affected in risky environments in which the recipient’s wealth is random. We demonstrate that,...     

Persistent misalignments of the European exchange rates: some evidence from non-linear cointegration

The asymmetric and persistent adjustment of the European real exchange rates is investigated using the framework of non-linear cointegration. The episodes of slow mean-reversion dynamics over the period from 1979 to 1999 are explained. A test of unit root against STAR cointegration is proposed and some complete estimations and stochastic simulations of ESTAR models are presented. The presence of effective non-linear adjustment during the moving of the currencies to their long-run fundamental equilibrium exchange rate value is discussed.     

Influence of acquirer boards on M&A value creation: Evidence from Continental Europe

We examine how the size and the composition of acquirer boards are associated with shareholder abnormal returns for 2,230 M&As made by listed firms in Continental Europe. Although board size proves insignificant, our findings do offer some evidence as to a beneficial effect of board diversity on M&A value creation. Gender diversity appears marginally positively associated with acquirer shareholder abnormal returns. The fraction of foreign directors is in general not significantly positive, unless the rule of law in the acquirer country is weak. Nonetheless, nationality diversity in the board turns out harmful in purely domestic takeovers. The influence of age diversity is marginally positive, yet only in domestic and horizontal takeovers. Next, the fraction of independent directors has a robust positive effect on the acquirer CAR, while directors with multiple board appointments prove valuable especially through preventing firms from pursuing poor takeovers. Finally, CEO duality is detrimental only in industry‐diversifying deals initiated by acquirers that are not controlled by an individual or a family shareholder. Any negative CEO‐duality effect is mitigated when the acquirer‐country rule of law is strong.     

Mean–variance and mean–semivariance portfolio selection: a multivariate nonparametric approach

While univariate nonparametric estimation methods have been developed for estimating returns in mean-downside risk portfolio optimization, the problem of handling possible cross-correlations in a vector of asset returns has not been addressed in portfolio selection. We present a novel multivariate nonparametric portfolio optimization procedure using kernel-based estimators of the conditional mean and the conditional median. The method accounts for the covariance structure information from the full set of returns. We also provide two computational algorithms to implement the estimators. Via the analysis of 24 French stock market returns, we evaluate the in-sample and out-of-sample performance of both portfolio selection algorithms against optimal portfolios selected by classical and univariate nonparametric methods for three highly different time periods and different levels of expected return. By allowing for cross-correlations among returns, our results suggest that the proposed multivariate nonparametric method is a useful extension of standard univariate nonparametric portfolio selection approaches.     

An Out-of-Sample Analysis of Investment Guarantees for Equity-Linked Products

Abstract

In this paper we analyze the risk underlying investment guarantees using 78 different econometric models: GARCH, regime-switching, mixtures, and combinations of these approaches. This extensive set of models is compared with returns observed during the financial crisis in an out-of-sample analysis, bringing a new perspective to the study of equity-linked insurance. We find that despite the very good fit of recent models, too few of them are capable of consistently generating low returns over long periods, which were in fact observed empirically during the financial crisis. Moreover, tail risk measures vary significantly across models, and this emphasizes the importance of model risk. Most insurance companies are now focusing on dynamically hedging their investment guarantees, and so we also investigate the robustness of the Black-Scholes delta hedging strategy. We find that hedging errors can be very large among the top fitting models, implying that model risk must be taken into consideration when hedging investment guarantees.     

Geographic distribution of suicide and railway suicide in Belgium, 2008–2013: a principal component analysis

This study investigated the geographic distribution of suicide and railway suicide in Belgium over 2008--2013 on local (i.e., district or arrondissement) level. There were differences in the regional distribution of suicide and railway suicides in Belgium over the study period. Principal component analysis identified three groups of correlations among population variables and socio-economic indicators, such as population density, unemployment, and age group distribution, on two components that helped explaining the variance of railway suicide at a local (arrondissement) level. This information is of particular importance to prevent suicides in high-risk areas on the Belgian railway network.     

(Not So) Easy Come, (Still) Easy Go? Footloose Multinationals Revisited

The central question of this paper is to test whether multinational firms (MNFs) are more likely to exit the local market than domestic firms. Using firm‐level data for Belgium, we estimate a random effects probit model taking into account the endogeneity of firm size, total factor productivity (TFP) and sunk costs in firm exit. Our results highlight two features of the ‘footloose’ nature of MNFs. First, controlling for firm and sector characteristics, the exit probability of MNFs is larger than that of domestic firms. Second, MNFs have a lower sensitivity to TFP and size than do domestic firms. This means that an improvement in economic performance on the local market will not prevent a multinational from closing its local plant as much as it would for a domestic firm.     

Antecedents of growth through mergers and acquisitions: Empirical results from Belgium

This paper empirically investigates the antecedents of growth through mergers and acquisitions (M&As) in a typical continental European country, Belgium. The article reports on a study using data on 484 private and listed bidders engaging in 990 M&As during 1997-2007, and matches this sample with companies that did not pursue any external growth. By analyzing firm characteristics, industry, and aggregate financial market variables, the study can also discern the motives that are important in the decision to acquire. The results show that neither the firm's cash position nor its cash-generating abilities influence its choice to grow externally. Yet, intangible assets affect the M&A decision positively, whereas ownership concentration and bank loans have a negative effect. In industries where incumbents are operating at a lower scale and in more highly concentrated industries, the odds of firms participating in M&As are larger. Industry deregulation, industry growth, and financial market conditions have no influence. These findings are largely comparable across listed and private firms. Yet, the data do reveal that the operating scale of industry incumbents and industry concentration matter only in horizontal and domestic takeover decisions.     

No‐arbitrage implies power‐law market impact and rough volatility

Market impact is the link between the volume of a (large) order and the price move during and after the execution of this order. We show that in a quite general framework, under no‐arbitrage assumption, the market impact function can only be of power‐law type. Furthermore, we prove this implies that the macroscopic price is diffusive with rough volatility, with a one‐to‐one correspondence between the exponent of the impact function and the Hurst parameter of the volatility. Hence, we simply explain the universal rough behavior of the volatility as a consequence of the no‐arbitrage property. From a mathematical viewpoint, our study relies, in particular, on new results about hyper‐rough stochastic Volterra equations.