Indexing mergers and acquisitions

We measure the efficiency of mergers and acquisitions by putting forward an index (the ‘M&A Index’) based on stochastic frontier analysis. The M&A Index is calculated for each takeover deal and is standardized between 0 and 1. An acquisition with a higher index encompasses higher efficiency. We find that takeover bids with higher M&A Indices are more likely to succeed. Moreover, the M&A Index shows a strong and positive relation with the acquirers’ post-acquisition stock performance in the short run and operating performance in the long run. After constructing three portfolios under a buy-and-hold strategy, we find that efficient portfolios with the highest indices earn higher equity returns and monthly alphas than inefficient portfolios with the lowest indices. Overall, our findings indicate that the M&A Index is positively associated with merger outcomes for acquirers.     

Estimating the degree of operating efficiency gains from a potential bank merger and acquisition: A DEA bootstrapped approach

We propose a bootstrapped Data Envelopment Analysis (DEA)-based procedure to pre-calculate and pre-evaluate the short-run operating efficiency gains of a potential bank merger or acquisition (M&A). As an illustrative example, we apply our proposed procedure to investigate the degree of operating efficiency gains of 45 possible bank M&As in the Greek banking industry over the period from 2007 to 2011. The results reveal that a year before and a year after the initiation of the Greek fiscal crisis, the majority of the potential bank M&As under examination were unable to generate short-run operating efficiency gains. In addition, our results for 2011 indicate that the majority of bank M&As can lead to short-run operating efficiency gains. Finally, the empirical findings support the view that a merger or acquisition between efficient banks does not ensure an efficient bank M&A.     

Waves and Determinants in Mergers and Acquisitions: The Case of Latin America

This article contributes to the current literature on mergers and acquisitions (M&As) by identifying the existence of waves and the determinants of M&A activity in the economies of Argentina, Brazil, Chile, Colombia, Mexico, and Peru. From a sample of 2,391 M&A announcements reported by Thomson One on these countries, applying the methodology proposed by Harford (2005), evidence of M&A waves is found for the periods 1995–2002 and 2003–2010, as reported for other regions in various international studies. After controlling for economic and business environment variables, as well as for profitability and book-to-market variables at the industry level, we find evidence that supports neoclassical theory as a main explanation for M&A activity but not for the misvaluation effect.     

Merger and acquisitions in South African banking: A network DEA model

Banking in South Africa is known for its small number of companies that operate as an oligopoly. This paper presents a strategic fit assessment of mergers and acquisitions (M&A) in South African banks. A network DEA (Data Envelopment Analysis) approach is adopted to compute the impact of contextual variables on several types of efficiency scores of the resulting virtual merged banks: global (merger), technical (learning), harmony (scope), and scale (size) efficiencies. The impact of contextual variables related to the origin of the bank and its type is tested by means of a set of several robust regressions to handle dependent variables bounded in 0 and 1: Tobit, Simplex, and Beta. The results reveal that bank type and origin impact virtual efficiency levels. However, the findings also show that harmony and scale effects are negligible due to the oligopolistic structure of banking in South Africa.     

Technology centrality,bilateral knowledge spillovers and mergers and acquisitions

We construct a search and matching model, which features heterogeneous firms with different management skills and industry-specific knowledge capital, to study individual firms’ behavior in the M&A market. Two firms form a merger if the bilateral knowledge spillovers between them result in a productivity gain, generating a merger surplus larger than the transaction cost. Three key predictions are produced from the model: (i) acquirers with higher technology centrality and management skill exert higher search intensities; (ii) targets with higher technology centrality and lower management skill exert higher search intensities; and (iii) acquirer–target firm pairs with larger bilateral knowledge spillovers generate larger surplus and are more likely to consummate a merger deal. We find strong empirical support for these predictions from merger deals in the U.S. between 1984 and 2020.     

Conference calls around merger and acquisition announcements: Do they reduce information asymmetry? UK Evidence

This paper examines conference call meetings held around merger and acquisition (M&A) announcements in the UK market. Our main findings indicate that conference calls not only facilitate the smoother transmission of M&A-related information in the stock market and smooth the rate of the information flow to the market, but also they reduce informed trading through option markets before M&A events. We also find that there is an inverse relation of analysts’ forecast error and conference call probability, that firms initiate conference calls during M&As when their transactions are large and are facing liquidity constraints, and that the probability of a firm holding a conference call around an M&A is strongly and inversely related to the existence of traded equity options on its stock.     

Categorization of mergers and acquisitions using transaction network features

Mergers and acquisitions (M&A) have occurred among tens of thousands of companies. Categorization of M&A is important to both corporate strategy and academic research. Previous research largely uses case studies and econometric data analysis to classify the motivations and types of M&A. Here, we propose understanding M&A using large-scale data to generate more applicable and generalized results. We use transaction relationships from transaction networks to better understand M&A. Based on detailed pre-analysis, including matching M&A and transaction data from Japan and clustering of transaction networks, we select several M&A observation perspectives. We use two features of transaction networks to categorize M&A cases: betweenness centrality and shortest path length. Betweenness centrality provides a view of the overall business situation from a macro perspective, and shortest path length helps to understand neighboring business environments from a micro perspective. We find several meaningful areas of concentration based on their betweenness centrality values and shortest path lengths. Finally, we re-examine M&A cases in each area, summarizing the trends identified using this categorization method. This study contributes to the M&A literature because it advances quantitative categorization of M&A cases.     

Measuring Takeover Premiums in Cross-Border Mergers and Acquisitions: Insights from Turkey

We investigate whether the merger announcement dates provided in a popular mergers and acquisitions (M&A) database, SDC, serve as accurate event dates for estimating the wealth effects of mergers on target firms located in Turkey. We find that 74 percent of SDC’s merger announcement dates are preceded by merger-related events such as merger rumors, target firms’ search for potential acquirers, and early-stage merger negotiation announcements. Target cumulative abnormal return (CAR) estimates around these early dates are almost twice as large as the CAR estimates around SDC’s merger announcement dates. We argue that our findings have implications for the recently flourishing cross-border M&A literature.     

Mergers and Acquisitions in Latin America: Industrial Productivity and Corporate Governance

This article examines the impact of industrial productivity in the country of origin on transnationals M&As, directed from OECD countries toward Latin America in the period 1996–2010. It also analyzes the relationship between external mechanisms of corporate governance and transnational M&As. Employing a gravitational model at the industry level, we find that industry productivity in the country of origin promotes transnational M&A activity, although capital productivity affects it negatively. We also find evidence that higher standards of corporate governance in both origin and destination countries increase the likelihood of transnational M&As taking place.     

Mergers and acquisitions in the US property-liability insurance industry: Productivity and efficiency effects

This paper analyzes the productivity and efficiency effects of mergers and acquisitions (M&As) in the US property-liability insurance industry during the period 1994–2003 using data envelopment analysis (DEA) and Malmquist productivity indices. We seek to determine whether M&As are value-enhancing, value-neutral, or value-reducing. The analysis examines efficiency and productivity change for acquirers, acquisition targets, and non-M&A firms. We also examine the firm characteristics associated with becoming an acquirer or target through probit analysis. The results provide evidence that M&As in property-liability insurance were value-enhancing. Acquiring firms achieved more revenue efficiency gains than non-acquiring firms, and target firms experienced greater cost and allocative efficiency growth than non-targets. Factors other than efficiency enhancement are important factors in property-liability insurer M&As. Financially vulnerable insurers are significantly more likely to become acquisition targets, consistent with corporate control theory, and we also find evidence that M&As are motivated to achieve diversification. However, there is no evidence that scale economies played an important role in the insurance M&A wave.