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.     

The interplay between target firm R&D,acquirer debt financing and takeover premia

The level of acquisition premia is of paramount importance in light of the vast sums paid to target shareholders and the often disappointing returns realized by corporate buyers. In this letter, we focus on the impact of R&D investments by targets on the acquisition premium contingent upon the acquirer’s financing choices. Based on a unique hand-collected sample of 407 listed European transactions, we find a positive effect of target R&D on premia paid. Yet, when acquirers finance the acquisition of an R&D intensive target with debt, the positive relation disappears. Consequently, we establish that financing sources affect bidding strategies of acquiring companies in case of difficult-to-value targets.     

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.     

Exploring the Double‐Sided Effect of Information Asymmetry and Uncertainty in Mergers and Acquisitions

We examine the joint effect of bidder and target information asymmetry and uncertainty on the payment consideration and subsequent wealth effects in a large sample of acquisitions with both listed and private targets. In line with a risk‐sharing argument, we find that acquisitions of targets characterized by higher uncertainty are more likely to be settled with stock. In contrast, higher target information asymmetry increases the likelihood of a cash payment, consistent with bidders strategically exploiting superior information. Acquirers of more opaque targets obtain a larger fraction of total acquisition gains and avoid sharing these gains with target shareholders by offering cash.     

Cost-effectiveness of rivaroxaban compared with enoxaparin plus a vitamin K antagonist for the treatment of venous thromboembolism

Background:

Venous thromboembolism (VTE), comprised of deep vein thrombosis (DVT) and pulmonary embolism (PE), is commonly treated with a low-molecular-weight heparin such as enoxaparin plus a vitamin K antagonist (VKA) to prevent recurrence. Administration of enoxaparin?+?VKA is hampered by complexities of laboratory monitoring and frequent dose adjustments. Rivaroxaban, an orally administered anticoagulant, has been compared with enoxaparin?+?VKA in the EINSTEIN trials. The objective was to evaluate the cost-effectiveness of rivaroxaban compared with enoxaparin?+?VKA as anticoagulation treatment for acute, symptomatic, objectively-confirmed DVT or PE.

Methods:

A Markov model was built to evaluate the costs, quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratios associated with rivaroxaban compared to enoxaparin?+?VKA in adult patients treated for acute DVT or PE. All patients entered the model in the ‘on-treatment’ state upon commencement of oral rivaroxaban or enoxaparin?+?VKA for 3, 6, or 12 months. Transition probabilities were obtained from the EINSTEIN trials during treatment and published literature after treatment. A 3-month cycle length, US payer perspective ($2012), 5-year time horizon and a 3% annual discount rate were used.

Results:

Treatment with rivaroxaban cost $2,448 per-patient less and was associated with 0.0058 more QALYs compared with enoxaparin?+?VKA, making it a dominant economic strategy. Upon one-way sensitivity analysis, the model’s results were sensitive to the reduction in index VTE hospitalization length-of-stay associated with rivaroxaban compared with enoxaparin?+?VKA. At a willingness-to-pay threshold of $50,000/QALY, probabilistic sensitivity analysis showed rivaroxaban to be cost-effective compared with enoxaparin?+?VKA approximately 76% of the time.

Limitations:

The model did not account for the benefits associated with an oral and minimally invasive administration of rivaroxaban. ‘Real-world’ applicability is limited because data from the EINSTEIN trials were used in the model. Also, resource utilization and costs were based on the US healthcare system.

Conclusion:

Rivaroxaban is a cost-effective option for anticoagulation treatment of acute VTE patients.     

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.     

Agent-Based Reallocation Problem on Social Networks

Resource reallocation problems aim to determine an allocation maximizing a given objective function. Numerous applications are based on the assumption of restricted contacts between entities but, up to now, studies have been based on unrealistic contexts. Indeed, most of the time, agents are omniscient and/or have complete communication abilities, which are not plausible assumptions in many applications. A solution does not only consist in an optimal allocation, but in a sequence of transactions changing an initial allocation into an optimal solution. We show that the individual rationality does not allow the achievement of socially optimal allocations, and we propose a more suitable criterion: the sociability. Our method provides a sequence of transactions leading to an optimal allocation, with any restriction on agents’ communication abilities. Provided solutions can be viewed as emergent phenomena.     

(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.     

The characteristic function of rough Heston models

It has been recently shown that rough volatility models, where the volatility is driven by a fractional Brownian motion with small Hurst parameter, provide very relevant dynamics in order to reproduce the behavior of both historical and implied volatilities. However, due to the non‐Markovian nature of the fractional Brownian motion, they raise new issues when it comes to derivatives pricing. Using an original link between nearly unstable Hawkes processes and fractional volatility models, we compute the characteristic function of the log‐price in rough Heston models. In the classical Heston model, the characteristic function is expressed in terms of the solution of a Riccati equation. Here, we show that rough Heston models exhibit quite a similar structure, the Riccati equation being replaced by a fractional Riccati equation.