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Accepting or Rejecting the Bid? The Target's Response to Takeover Offers Based on Its Valuation and Managerial Ownership

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Abstract

This paper examines how the valuation of a firm that becomes the target of an acquisition impacts its reaction to the takeover offer. I find that target managers whose firm is highly valued are more likely to commit to target termination fee provisions, which can be regarded as an endorsement of the transaction by the target's management, and the merger bid is significantly more likely to be successful than if the target's valuation is low. Furthermore, targets with a high valuation demand significantly lower acquisition premiums than low valuation targets. In a second step, I examine how the over- or undervaluation of the target managers' shareholdings relative to their annual compensation affects the M&A deal. This managerial welfare variable also has a positive impact on the likelihood of a target termination fee provision and merger bid success, though the relationship is less significant than for the target valuation ratio alone. I also find that targets whose managers own a large fraction of the firm's shares receive higher premiums, while targets whose managers can profit from a large dollar-overvaluation of their ownership stake relative to their annual compensation receive lower premiums than those whose managers are holding a large undervalued equity stake.

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We examine the provision of termination fee clauses in merger agreements between 1989 and 1998. Target-payable fees are observed more frequently when bidding is costly and the potential for information expropriation by third parties is significant. Fee provisions appear to benefit target shareholders through higher deal completion rates and greater negotiated takeover premiums. We conclude that target-payable fees serve as an efficient contracting device, rather than a means by which to deter competitive bidding. Bidder fee provisions appear to be used to secure target wealth gains in deals with higher costs associated with negotiation and bid failure.
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The paper provides evidence on the effects of including a target termination fee in a merger contract. I test the implications of the hypothesis that termination fees are used by self-interested target managers to deter competing bids and protect “sweetheart” deals with white knight bidders, presumably resulting in lower premiums for target shareholders. An alternative hypothesis is that target managers use termination fees to encourage bidder participation by ensuring that the bidder is compensated for the revelation of valuable private information released during merger negotiations. My empirical evidence demonstrates that merger deals with target termination fees involve significantly higher premiums and success rates than deals without such clauses. Furthermore, only weak support is found for the contention that termination fees deter competing bids. Overall, the evidence suggests that termination fee use is at least not harmful, and is likely beneficial, to target shareholders.
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The outcome of a hostile takeover bid hinges on an interplay of the defensive strategies of targets and the offensive strategies of bidders. This study examines the determinants of outcome for a sample of 205 hostile bids for UK public company targets over the period 1983-1989. the impact of a number of defensive strategies adopted by the targets, their ownership structure which could aid or hinder the deployment of those strategies, and the method of payment selected by bidders is investigated using multivariate logit methodology. the City Code on Takeovers and Mergers in the UK and its influence on the choice of defensive and offensive strategies is described. the study finds outcome in hostile bids in the UK is significantly influenced by the use of certain defensive strategies, the presence of large institutional shareholders in targets, the size of targets and the method of payment chosen by the bidder. the results of this study are useful in devising effective strategies to frustrate or prosecute hostile bids. Copyright Blackwell Publishers Ltd. 1995.
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We estimate sequentially outcome probabilities and expected payoffs associated with first, second, and final bids in a large sample of tender offer contests. Rival bids arrive quickly and produce large bid jumps. Greater bidder toeholds (prebid ownership of target shares) reduce the probability of competition and target resistance and are associated with both lower bid premiums and lower prebid target stock price runups. The expected payoff to target shareholders is increasing in the bid premium and in the probability of competition, but decreasing in the bidder's toehold. The initial bidder's expected payoff is significantly positive in the “rival-bidder-win” outcome, in part reflecting gains from the pending toehold sale. Despite these dramatic toehold effects, only half of the initial bidders acquire toeholds.
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This paper examines whether hostile takeovers can be distinguished from friendly takeovers, empirically, based on accounting and stock performance data. Much has been made of this distinction in both the popular and the academic literature, where gains from hostile takeovers result from replacing incumbent managers and gains from friendly takeovers result from strategic synergies. Alternatively, hostility could reflect strategic choices made by the bidder or the target. Empirical tests show that most deals described as hostile in the press are not distinguishable from friendly deals in economic terms, except that hostile transactions involve publicity as part of the bargaining process. Copyright The American Finance Association 2000.
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This article examines the motives underlying the payment method in corporate acquisitions. The findings support the notion that the higher the acquirer's growth opportunities, the more likely the acquirer is to use stock to finance an acquisition. Acquirer managerial ownership is not related to the probability of stock financing over small and large ranges of ownership but is negatively related over a middle range. In addition, the likelihood of stock financing increases with higher preacquisition market and acquiring firm stock returns. It decreases with an acquirer's higher cash availability, higher institutional shareholdings and blockholdings, and in tender offers. Copyright 1996 by American Finance Association.
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We document managers' vote holdings in a large random sample of industrial firms, and test whether the degree of managerial control of shares affects how often a firm is the target of control events. The likelihood of successful acquisitions of firms is unrelated to managers' holdings. But this insignificant relation reflects two opposing effects. Lower managerial control is associated with a higher probability that a firm will receive a takeover offer, but a lower probability that a takeover attempt will lead to a change in control.
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This paper analyzes how managerial control of voting rights affects firm value and financing policies. It shows that an increase in the fraction of voting rights controlled by management decreases the probability of a successful tender offer and increases the premium offered if a tender offer is made. Depending on whether managerial control of voting rights is small or large, shareholders' wealth increases or falls when management strengthens its control of voting rights. Management can change the fraction of the votes it controls through capital structure changes, corporate charter amendments, and the acquisition of shareholder clienteles.
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The excess returns earned by takeover targets raises questions of efficiency in the market for corporate control. Brown and Raymond and Samuelson and Rosenthal explain the target share pricing process as a function of the probability of success of the takeover bid. We highlight weaknesses in this work, propose an alternative model, and apply it to 245 Australian takeovers from 1980 to 1993. We find, for targets of successful bids, considerable non-convergence to the bid price. This is consistent with speculative trading models whereby the reduction in dispersion of traders' beliefs leads to the evaporation of market liquidity.
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Riklis Chair in Business and Associate Professor of Finance, The Ohio State University, and Assistant Professor of Finance, San Diego State University, respectively. We are grateful to Anup Agrawal, Warren Bailey, John Byrd, K. C. Chan, Larry Dann, Harry DeAngelo, Mike Fishman, Gerald Garvey, Rob Heinkel, Mike Jensen, Gregg Jarrell, Jon Karpoff, Mike Long, Francis Longstaff, Wayne Marr, David Mayers, Wayne Mikkelson, Patricia Reagan, Richard Ruback, Andrei Shleifer, Bill Schwert, Rex Thompson, and Mark Wolfson for useful discussions and comments, to participants at sessions at the American Finance Association and the Western Finance Association, and to the seminar participants at Harvard University, Indiana University, the Ohio State University, Southern Methodist University, the University of Rochester, and the Washington State University for helpful comments.
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Data on U.S. mergers and aquisitions from 1987 to 2006 indicate that firms with high market-to-book values (i.e., Tobin's Q) tend to merge with firms that have lower Q's, but that target Q's are on average higher than those of firms not involved in mergers at all. We capture this fact with a model in which the ratio of a bidder's Q to that of a prospective target has a non-monotone, inverted U-shaped effect on the probability of the two firms merging. Further, we find that the likelihood of a merger is positively and linearly related to the ratio of the growth potential of an acquirer and its prospective target. Using data from Compustat, a series of bootstrap logit regressions bear out these implications.
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This paper analyzes the managerial, regulatory, and financial determinants of U.S. bank merger premiums. The author uses both individual acquirer and target bank characteristics. He also examines state regulation of acquirer and target banks from a geographically dispersed population, allowing him specifically to te st the effect of a varied state regulatory menu. The study finds merger premiums to be related to the characteristics of both acquirer and target banks and the regulatory environments in both acquirer and target bank states. The author also finds evidence that the separati on of ownership and control in acquirer and target banks has a signific ant effect on merger premiums. Copyright 1993 by Blackwell Publishing Ltd.
Article
Does valuation affect mergers? Data suggest that periods of stock merger activity are correlated with high market valuations. The naïve explanation that overvalued bidders wish to use stock is incomplete because targets should not be eager to accept stock. However, we show that potential market value deviations from fundamental values on both sides of the transaction can rationally lead to a correlation between stock merger activity and market valuation. Merger waves and waves of cash and stock purchases can be rationally driven by periods of over- and undervaluation of the stock market. Thus, valuation fundamentally impacts mergers. Copyright 2004 by The American Finance Association.
Article
This paper examines movements in the prices of target stocks as predictors of the ultimate success or failure of tender offers. An empirical investigation of 100% cash tender offers during the years 1976 to 1981 leads to the conclusion that, with few exceptions, market prices are well‐calibrated, i.e., the current target price during the offer period measures the expected (discounted) stock price at the conclusion date. The market's probability predictions improve monotonically over time. 1986 The American Finance Association
0055 (.660) .0001 (.991) .0058 (.643)
  • P S Acq
Acq P/S .0073 (.553) .0055 (.660) .0001 (.991) .0058 (.643) .0019 (.882) .0058 (.638) .0081 (.508)
  • M Dong
  • D Hirshleifer
  • S Richardson
  • S H Teoh
Dong, M. / Hirshleifer, D. / Richardson, S. / Teoh, S. H. (2006): Does Investor Misvaluation Drive the Takeover Market? Journal of Finance 61, 725-762.
0459 c (.093) .0036 (.962)
  • Sombind
SOMBInd .0459 c (.093) .0036 (.962) .0071 (.923)
4715 a (.003)5451 a (.001)4386 a (.005)4286 a (.006) Toehold .6273 (.419)4382 (.568)5246 (.527) .5271 (.508) .5571 (.500) .5673 (.437) .5527 (.486) Fortune 500 -.8273 c (.076) -.9524 b (.036)
  • Rel
  • Size
Rel. Size .4322 a (.005) .4259 a (.005) .5121 a (.001) .4715 a (.003) .5451 a (.001) .4386 a (.005) .4286 a (.006) Toehold .6273 (.419) .4382 (.568) .5246 (.527) .5271 (.508) .5571 (.500) .5673 (.437) .5527 (.486) Fortune 500 -.8273 c (.076) -.9524 b (.036) -.9598 b (.038) -.7986 c (.093) -.9430 b (.045) -.8830 c (.058) -.8398 c (.072) Tgt Leverage -1.5716 a (.003) -1.1026 b (.018) -1.2751 a (.006) -1.7010 a (.001) -1.2984 a (.005) -1.5555 a (.004) -1.5472 a (.004) Premium 1.9956 a (.004) 1.6755 b (.010) 1.6217 b (.017) 1.9156 a (.007) 1.6334 b (.019) 2.0634 a (.003) 2.0566 a (.003)
0475 (.452)0447 (.481)0402 (.530)0377 (.554) Defense .0320 (.769)0211 (.846) .0370 (.735) .0325 (.763) .0365 (.736) .0323 (.767) .0234 (.830) Diversifying -.0187 (.502)
  • Unsolicited
Unsolicited .0405 (.526) .0422 (.510) .0418 (.512) .0475 (.452) .0447 (.481) .0402 (.530) .0377 (.554) Defense .0320 (.769) .0211 (.846) .0370 (.735) .0325 (.763) .0365 (.736) .0323 (.767) .0234 (.830) Diversifying -.0187 (.502) -.0271 (.327) -.0204 (.466) -.0246 (.376) -.0230 (.410) -.0210 (.456) -.0223 (.421) Tender Offer .0605 (.124) .0506 (.188) .0493 (.206) .0615 (.118) .0497 (.200) .0598 (.129) .0528 (.175) Stock Offered .0020 (.952) -.0088 (.783) -.0007 (.983) -.0007 (.983) -.0046 (.885) .0018 (.957) .0016 (.960)
0885 a (.001)0946 a (.000)1035 a (.000) .1071 a (.000) .0898 a
  • Tgt Leverage
Tgt Leverage .0926 a (.000) .0885 a (.001) .0946 a (.000) .1035 a (.000) .1071 a (.000) .0898 a (.000) .0895 a (.000)
5062 b (.008) -.5223 a (.007) -.5269 a (.005) -.4781 b (.009) -.5032 a
  • Acqps
AcqPS -.4597 b (.013) -.3829 b (.027) -.5062 b (.008) -.5223 a (.007) -.5269 a (.005) -.4781 b (.009) -.5032 a (.007) Own Pct -.2188 (.169) -.1821 (.239) -.2596 c (.098) -.0763 (.643) -.1586 (.340) -.3113 c (.055) -.2824 c (.079)
3450 a (.006) -2.6057 a
  • Ombind
OMBInd .0361 c (.092) -2.3450 a (.006) -2.6057 a (.004) -2.3715 a (.006) -2.5525 a (.004) -2.4863 a (.005)
0807 a (.008)0791 a (.010)0750 b (.014) .0843 a (.007)
  • Tgttermfee
TgtTermFee .0700 b (.021) .0807 a (.008) .0791 a (.010) .0750 b (.014) .0843 a (.007) .0669 b (.028) .0682 b (.025)
Behavioral Corporate Finance Handbook of Corporate Finance: Empirical Corporate Finance, Volume A (Handbooks in Finance Series
  • M Baker
  • R S Ruback
  • J Wurgler
Baker, M. / Ruback, R. S. / Wurgler, J. (2006): Behavioral Corporate Finance. In: B. Espen Eckbo (ed.), Handbook of Corporate Finance: Empirical Corporate Finance, Volume A (Handbooks in Finance Series, Elsevier/North-Holland), Ch. 4, 2006.