Western Europe vs. BRIC M&A Value: Regression Analysis
This paper investigates whether mergers and acquisitions (M&A) generate greater value for Western European firms when conducted within Western Europe or when targeting companies in BRIC nations (Brazil, Russia, India, and China). Using a dataset of twenty deals completed between 1999 and 2009, the study applies regression, ANOVA, and residual analysis to test the relationship between country type, transaction value, pre-merger stock price, and post-merger stock performance at two intervals: 30 days and one year after the merger. Results indicate that cross-border M&A activity targeting BRIC nations produces higher stock price returns at both measurement points, suggesting greater value creation for Western European acquirers pursuing BRIC targets over the study period.
- Introduction and Research Design: Study scope, sample selection, and time frame rationale
- Data Collection and Variable Definition: Independent and dependent variables defined and sourced
- Methodology: Regression and ANOVA Testing: Regression approach and statistical significance testing explained
- Dataset Overview: Twenty M&A deals tabulated with key financial metrics
- Results: Stock Price 30 Days After Merger: Regression output and interpretation at 30-day window
- Results: Stock Price One Year After Merger: Regression output and interpretation at one-year window
- Conclusions and References: BRIC acquisitions show greater long-term value creation
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What makes this paper effective
- The study employs a clear comparative framework — intra-regional Western European M&A versus cross-border BRIC acquisitions — making the research question immediately actionable and measurable.
- Two distinct post-merger measurement windows (30 days and one year) add temporal depth to the analysis, allowing short-term and long-term performance trends to be distinguished.
- The paper grounds its methodology in cited precedent (Wang & Moini, 2012; Dorai & Patolahti, 2010), demonstrating awareness of established event-study conventions in M&A research.
Key academic technique demonstrated
The paper demonstrates multivariate regression analysis applied as an event study, using abnormal stock price movement as the primary performance metric. By assigning a dummy variable for country type and controlling for transaction value and pre-merger stock price, the author isolates the incremental effect of geographic target location on post-merger returns — a standard and well-regarded approach in empirical corporate finance research.
Structure breakdown
The paper opens with a justification of the 1999–2009 study window and sample selection criteria, then defines independent and dependent variables before explaining the regression methodology. A detailed dataset table precedes two sequential results sections — one for 30-day post-merger prices, one for one-year returns — each presenting full regression summary output and a brief interpretive paragraph. The paper closes with references. This data-forward structure suits a quantitative study and makes the statistical outputs easy to locate and evaluate.
Introduction and Research Design
This study examines the value differences between merging with companies inside Western Europe versus investing in companies located in BRIC nations — Brazil, Russia, India, and China. To that end, mergers and acquisitions completed entirely within Western Europe were gathered and compared to mergers between Western European companies and BRIC nation targets.
The dataset spans ten years, from 1999 to 2009. This period was selected for two primary reasons. First, there were more mergers during this window than after 2009, largely because the economic crisis in Europe had worsened to a degree that caused overall M&A activity in the region to decline significantly. Second, after 2009, an increasing trend emerged of BRIC nations investing in acquiring Western European companies — rather than the reverse — because declining financial conditions were weakening the acquisition and leveraging power of many European firms. The 1999–2009 period therefore provided a more balanced survey of Western European outbound activity.
Companies from a variety of industries were included in the sample, which ultimately comprised ten mergers in each category: intra-Western European deals and Western European-to-BRIC deals, for a combined total of twenty transactions.
Data Collection and Variable Definition
The first step was to define the independent and dependent variables. Three independent variables were used in this research: (1) country type — classified as Western European to Western European, or Western European to BRIC nation; (2) transaction value; and (3) stock price 30 days prior to the merger announcement. Data for these three independent variables was gathered from a number of sources, including Dorai & Patolahti (2010), the Institute of Mergers, Acquisitions, and Alliances (2015), and Reuters (2013).
The two dependent variables selected for regression analysis were stock price in the year of the merger and stock price one year after the merger. As a method for an event study, ADR stock listing prices were used to measure overall post-merger performance at these two stages — a widely used methodology in M&A research. As Wang & Moini (2012) note, this approach "is designed to measure whether there is an abnormal stock price effect associated with an unanticipated event (M&A)." Stock prices for both periods were collected using historical data from Yahoo! Finance and Google Finance. The research recorded monthly ADR stock closing prices for 30 days before the merger, 30 days after the merger, one year after the merger, and August 2015.
After data collection, outliers were identified and removed. RFS Holdings BV was a clear outlier, as its stock price was well above all others in the sample set. Removing it allowed the regression results to reflect the clearest possible signal from the remaining data.
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