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Erschienen in: Review of Quantitative Finance and Accounting 4/2018

16.12.2017 | Original Research

Glamour versus value, market timing and firm performance: evidence from mergers and acquisitions

Erschienen in: Review of Quantitative Finance and Accounting | Ausgabe 4/2018

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Abstract

This study examines the performance of glamour versus value firms in M&As. Specifically, the current study takes into account the market timing to explore the performance of glamour versus value firms in M&As. Using the standard event study methodology with 1109 targets and 6980 bidders during the 2000–2013 period, the results show that glamour (value) firms are more likely to choose the hot (cold) market condition to engage in M&As for both targets and bidders. The evidence also reveals that the performance of glamour versus value firms is less sensitive to the market timing for targets. While glamour bidding firms obtain lower announcement returns, the losses are even more significant during long run post-announcement period. A further analysis indicates that bidders in general experience negative announcement returns in the hot market irrespective of glamour versus value firms. While glamour bidding firms obtain lower post-announcement returns in the hot market relative to their value counterparts, glamour bidders generate higher post-announcement returns during the cold market than value bidders. The regression analysis finds consistent results for bidders. Overall, this study sheds lights on the importance of the market timing on the performance of glamour versus value firms in M&As.

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Fußnoten
1
This study examines the performance of glamour, neutral and value firms in M&As. For brevity, the term of "glamour versus value firms" is used to indicate different types of firms in terms of glamour, neutral and value firms.
 
2
This study uses the terms of "the market condition" and "the market timing" interchangeably.
 
3
Antoniou et al. (2008) argue that the market P/E ratio has upward trend. Without removing the trend, this may introduce the bias to classify the market condition. This may attribute to the fact that more recent acquisitions would be classified as high-valuation acquisitions and older acquisitions as low-valuation acquisitions.
 
4
Months classified as hot, normal and cold months are replaced by the hot, normal and cold markets in this study.
 
5
This study uses 4-digit SIC code (XXXX) to classify diversifying or focusing deals. If 2-digit SIC code (e.g. 10XX) for the target and bidder is the same, the transaction is classified as focusing deals; otherwise, diversifying deals.
 
6
While the financial crisis in the year of 2008 can influence the US takeover market, it may be arguable that it may commonly define the months as the cold market after the year of 2008. Hence, the regression analysis with the full sample also controls for a dummy for the year of 2008 financial crisis. The results quantitatively remain the same. As the current study further partitions the sample on the basis of the market conditions in terms of the hot, normal and cold market to run the regression analysis separately, this study does not find any significant impact for the normal and cold regression analysis. While the hot market does not include any months in the year of 2008 financial crisis, we do not further run the regression analysis for the subsample of the hot market.
 
7
While this section intends to explore whether different types of firms are more likely to choose different market conditions to engage in M&As, one may argue that different market conditions may cause different types of firms to engage in M&As. In this regard, the analysis in this study would contain causality concern. Applying for probit 2SLS to deal with causality issue in Tables 3 and 4, the results appear to be more sensitive to specific market conditions for targets and bidders. The sign and significant level for targets remain the same during the normal and cold market. On the contrary, the sign and significant level for bidders remain the same during the hot market. The results suggest that different types of firms can be more sensitive to the choice of the market timing to engage in M&As during the normal and cold market for targets and during the hot market for bidders.
 
8
This study uses 1-dig SIC code to classify firms into various industries. In addition, the 2-dig SIC code is also employed to classify different target industries as a robustness check. The sign and significant level quantitatively remain the same.
 
9
Controlling for year effects may correlate to the market timing in terms of the hot, normal and cold market. This study also excludes the variable of "year" in the regression analysis for targets and bidders separately. The sign and significance level remains the same.
 
10
It is arguable that the firms are more likely to have higher market value during the hot market condition. When using the market to book ratio to classify glamour versus value firms, higher market value to the firms in the hot market can lead to higher market to book ratio. This can affect the classification of glamour versus value firms and also raise reversed causality concern. When applying 2SLS approach, the results do not find any significant relationship between target announcement returns and glamour versus value firms. The results suggest that the performance of glamour versus value firms are less sensitive to the market timing for targets.
 
11
It should be noted that one of the sample firms is delisted on the stock exchange after the transactions. In this regard, this firm can measure short terms announcement returns, but does not generate long run post-announcement returns. The analysis for long run post-announcement returns is based on 6979 bidders.
 
12
As one bidding firm does not have long run post-announcement returns, this can reduce one observation in the regression analysis.
 
13
Consistent with target regression analysis, the study also performs 2SLS with instrument variables to deal with the issue of causality. After performing 2SLS, this study interestingly finds a significant relationship between bidder announcement returns and glamour versus value firms. While the sign of the coefficients remains the same, the magnitude of the coefficients and the significance level is even stronger. The evidence indicates that the performance of glamour versus value firms can be more sensitive to the market condition for bidding firms. These results suggest that causality can be an issue to be taken into account when looking into the market timing on the influence of the performance of glamour versus value bidding firms in M&As.
 
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Metadaten
Titel
Glamour versus value, market timing and firm performance: evidence from mergers and acquisitions
Publikationsdatum
16.12.2017
Erschienen in
Review of Quantitative Finance and Accounting / Ausgabe 4/2018
Print ISSN: 0924-865X
Elektronische ISSN: 1573-7179
DOI
https://doi.org/10.1007/s11156-017-0694-1

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