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Let’s talk about money! Assessing the link between firm performance and voluntary Say-on-Pay votes

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Abstract

With the UK Directors’ Remuneration Act and the US Dodd-Frank Act, a decent amount of research has examined so-called Say-on-Pay votes in countries where they are legally mandatory. In contrast, little is known about countries such as Germany or Canada, both of which operate in a voluntary Say-on-Pay (SOP) system. In a voluntary SOP system, the firms’ managers can decide whether to sponsor a vote or not, and it is unclear how this decision and the subsequent voting dissent is influenced by firm performance. To reduce this research gap, this paper analysed a hand-collected sample from Germany covering 1746 annual general meetings that took place between 2010 and 2016. The results indicate that voting likelihood is positively associated with the relative market valuation of the firm (Tobin’s Q) as long as the firm meets or beats analyst earnings forecasts and is negatively associated with free cash flow when the firm fails to meet forecasts. Only large companies with dispersed ownership grant a vote when they do not meet or beat the forecasts. Once the vote has been cast, voting dissent is lower for firms that meet/beat their forecasts and have high free cash flows or high market valuations. However, shareholders do not reward high CSR-performance with less voting dissent. Overall, the results emphasise the importance of financial performance for SOP voting likelihood and voting dissent.

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Correspondence to Jörn Obermann.

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Appendix

Appendix

Excess compensation model according to Core et al. (2008). Random-effects panel regression with robust standard errors. Natural logarithm of total executive board compensation (LOG_TOTAL_COMP) as dependent variable. Independent variables are adjusted to the German capital market and data availability: Natural logarithm of total assets (LOG_TA), market-to-book ratio (MTB), annual market returns (RET), lagged annual market returns (\({\text{RET}}_{\text{t - 1}}\)), return on equity (ROE), lagged return on equity (\({\text{ROE}}_{\text{t - 1}}\)), the change in dividends per share (DPS_DELTA) and dummies for year and industry sector classification based on the first digit of the four digit SIC code.

Predicted compensation calculation

Dependent variable

LOG_TOTAL_COMP

LOG_TA

0.396*** (23.33)

MTB

0.032* (1.82)

RET

0.048 (1.09)

\({\text{RET}}_{{{\text{t}} - 1}}\)

0.085* (1.79)

ROE

0.003*** (2.87)

\({\text{ROE}}_{{{\text{t}} - 1}}\)

0.000 (0.05)

DPS_DELTA

0.016 (0.63)

Year and SIC

Included

CONS

2.390*** (8.75)

Observations

834

Overall R2

78.64

  1. Table bottom lists the number of observations and the overall R2 in percent. T-values are in parentheses. Significance levels: *p < 0.10, **p < 0.05, ***p < 0.01

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Obermann, J. Let’s talk about money! Assessing the link between firm performance and voluntary Say-on-Pay votes. J Bus Econ 90, 109–135 (2020). https://doi.org/10.1007/s11573-019-00931-8

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