Page info: *Author: Mathiesen, H. *Document version: 2.3. *Copyright 1997-2008, ViamInvest. Legal notice. 

 

Table: Empirical studies on ownership structure and performance[1]


Introduction: Want to find the empirical study by Demsetz and Lehn [1985]? Just click D below and move down alphabetically on the resulting web page. Note that this page is updated when new papers emerge. Also, a few studies have blank cells. This is temporary. They will eventually be completed.

 

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Author(s)

&Journal

Sample & Period[2]

Ownership

variables(s)[3]  [4]

Performance variable(s)

Other variable(s): Controls & dependents[5]

Statistical methods

Main results

Preferred explanation

Kamerschen [1968], American Economic Review

47 large US firms (Fortune 500).

1959-64.

1) MC £10% single block of voting control.

OC ³10%.

Dummy for change in control from 1929 to 1963.

Return on equity.

1) Monopoly power by barriers to entry or concentration. 2) Size by sales or total assets. 3) Industry growth.

OLS regression.

OC firms are insignificantly more profitable than MC firms. The ownership dummy is significant and positive.  Significant controls: Barriers to entry, sales, assets, and growth.

The incentive alignment argument.

Kapland [1989], Journal of Financial Economics

76 US, management buyouts (MBOs)

1980-86.

1) % pre- and post-buyout ownership by all buyout managers not including directors.

2) $ pre- and post-buyout ownership by all buyout managers not including directors.

Market adjusted stock return in the ranges: 1) From two month before buyout to buyout date. 2) From buyout date to first post buyout valuation date. 3) From two month before buyout to first post-buyout valuation date.

Pre- and post-buyout leverage by book value of total debt to book value of total assets.

No regressions. Primarily a descriptive study. However, in this study the changes are so profound that the demand for statistics is less.

Kaplan obtains a post-buyout market valuation  for 25 of the 76 buyouts. For these firms the three measures of market adjusted stock return increased respectively by 38%, 42%, and 96%. Managerial ownership increases from 9% to 31%, but the value of the new ownership stake is less than the old stake. Other results: Leverage increases from 21% to 86%.

A combination of the incentive argument, Jensen's [1986] cash flow argument and a monitoring argument.

Keasey, Short and Watson [1994], Small Business Economics

72 small and medium sized UK firms.

1986-88.

1) Equity ownership by the board of directors.

2) MC £X% of equity ownership by directors, XÎ[10, 20,…, 90]. OC ³X% of equity ownership by directors. 3) Equity ownership by the board of directors in the ranges [0-68%], and [68-100%].

Return on assets.

1) Remuneration of directors divided by assets. 2) Dummy for perceived need for management systems. 3) Size by assets. 4) Leverage. 5) Dummy for secured debt or not. 6) Growth in assets. 7) Industry. 8) Firm’s age. 9) Directorships in other firms or not.

OLS regression and the Halbert-White technique to correct for heteroscedasticity. Test for roof-shaped relation by squaring board ownership and use piecewise linear regression.

Performance is significantly increasing with board ownership and this relation is significantly roof-shaped. This is also confirmed using piecewise linear regression. Performance also increases if directors are represented in other firm’s boards. Significant controls: Need for management systems and director remuneration.

A combined entrenchment and incentive argument.

Kole [1996], Working Paper

Same as Morck et al. [1988]:

371 of the largest US firms (Fortune 500).

1980.

Combined shareholding by members of the board in the ranges: [0%, 5%], [5%, 25%], and [25%, 100%].

Data from Corporate Data Exchange

1) Tobin’s Q by market value of stock, preferred stock and debt to replacement cost of plant and inventories. 2) Return on assets. 3) Change in Tobin’s Q. 4) Change in return on assets.

1) Size by replacement cost of assets. 2) R&D costs to size. 3) Advertising to size. 4) Long-term debt to size. 5) Firm growth as average growth in sales 1977-80. 6) Stock performance as market adjusted abnormal return.

OLS regression. Use piecewise linear regression. Use sub-samples of high and low R&D firms to check directly for Q bias due to R&D. Finally, he uses lagged performance variables to test for causality.

Starts reproducing the model of Morck et al. [1988]. When that model is run on a sub-sample of low R&D firms [a better way to correct for Q bias due to R&D) profitability is only significantly increasing for board ownership in the [0, 5%] range. Same result is produced running a full sample less outliers [Q >4,5] and including two more controls: Firm growth and stock performance. In this model all controls [1-6] become significant and the adjusted R reaches 55%. Finally, Kole runs a series of lagged OLS regressions indicating that ownership is endogenous.

The incentive argument versus the reward argument.

Larner [1966], American Economic Review

The 200 largest non-financial US corporations in 1929 and in 1963.

MC £10% single block of voting control.

OC ³10%.

 

 

 

Finds that 44% of the firms in the 1929 sample were management controlled compared to 85% in the 1963 sample.

 

Larner [1970], book

187 of the 500 largest non-financial US firms. 1956-62.

MC £10% single block of voting control.

OC ³10%.

Return on equity.

1) Size of firm by assets. 2) Industry concentration. 3) General econ. state. 4) Industry econ. state. 5) Risk by equity/assets.

OLS regression. Corrects for heteroscedasticity by weighted regressions.

OC firms are significantly (weak) more profitable than MC firms. Significant controls: General state and industry state.

The incentive alignment argument.

Leach and Leahy [1991], The Economic Journal

470 large industrial, UK firms.

1983-85.

1) Five ownership concentration indices: Herfindal index and combined holding of largest 1, 5, 10, and 20 shareholders.

2) Six control type indices for MC or OC: OC ³5%, 10%, and 20% of cohesive stock ownership or OC if largest cohesive stockholding has 90%, 95% or 99% chance of winning a majority vote.

MC otherwise.

1) Historic market value / ordinary share capital. 2) Return on sales 3) Return on equity.

1) Size by log of sales. 2) Product diversification 3) Export intensity of sales. 4) Capital / labor ratio. 5) Age of firm. 6) Beta risk. 7) Standard deviation of return. 8) Industry.

Other dependents:

1) Sales growth. 2) Asset growth. 3) Salary of highest paid director.

Multivariate regression.

Also apply simultaneous equations but without significant results. Multiple regression analysis. Each performance variable is regressed individually. A specification search is made over pairs of ownership structure variables (concentration and type) that report the specification yielding the highest significance.

OC firms are significantly (weak) more ‘profitable’ than MC firms with regard to return on equity, return on sales, growth of sales and growth of net assets. Rules based on OC ³5%, 10%, and 20% were never significant. More concentration caused significantly less performance in terms of historic market value / ordinary share capital and return on sales. Significant controls: Size, export intensity of sales, beta risk and standard risk.

With regard to control type the incentive argument is used and with regard to concentration an incentive argument is coupled with an entrenchment argument

Levin and Levin [1982], Review of Business and Economic Research

111 large non-financial US firms.

62 non-diversified and 49 diversified.

1967-76.

Not altogether clear but probably this:

MC £10% single block of common stock and not FC.

OC ³10% and not FC.

FC ³10% of cohesive ownership by financial institutions and ³10% of ownership by non-financial, or ³5% and £10% of ownership by non-financial, or financial institution is a leading creditor and £10% of ownership by non-financial.

Observed 1967-69.

1) Return on equity. 2) Return on stocks.

Observed 1967-76.

1) Monopoly power by barriers to entry.  2) Product differentiation. 3 Industry growth. 4) Firm size by assets. 5) Big foreign business or not. 6) Big business with government or not. 7) Corporate diversification.

Other dependents:

1) Standard deviation of earnings. 2) Dispersion of earnings. 3) Growth of sales. 4) Difference between growth of sales and return on equity. 5) Capital structure. 6) Dividends to earnings.

Covariance analysis. The sample is classified in order to control for corporate diversification. Firms with substantial production in unrelated areas are classified as diversified.

With regard to return on equity and return on stocks MC, OC and FC firms have significantly different returns if they are non-diversified. Otherwise not. The direction of the performance difference is not reported and neither is the significance or direction of the control variables.

None.

Lewellen, Loderer and Rosenfeld [1985], Journal of Accounting and Economics

191 successful US mergers.

1963-81.

1) % ownership of bidder by bidder's officers and directors. 2) % ownership of bidder by bidder's highest paid executive. 3) % ownership of bidder by two highest paid executives.

Cumulative abnormal return, CAR by the bidding firm over the interval (A-5, R0) where A is the announcement date of the acquisition activity and R is the merger approval date.

None.

Event study. Initially Z-tests are applied to test for significance of CAR in the total sample. Finally, they run univariate OLS regressions for bidder CAR on the various ownership variables.

Bidder CAR increases significantly with bidder management's ownership of the bidder company for all the three definitions of ownership.

The incentive alignment argument.

Loderer and Martin [1997], Journal of Financial Economics

867 acquisitions by US firms.

1978-88.

1) Inside ownership by managers and directors prior to the acquisition announcement.

2) Ownership by institutional owners.

3) Ownership by outside 5% blockholders.

1) Tobin’s Q prior to announcement by market value of equity plus book value of long and short term debt to book value of assets. 2) Six-day's cumulative abnormal return, CAR, by the bidding firm over the interval (AD-5, AD0) where AD is the announcement date.

1) Size by log of sales or log of market value of firms stocks. 2) Dummy is one if the medium of payment in the acquisition is 100% common stock. 3) Standard deviation of the stock return. 4) Variance of the stock return.  5) Industry (two-digit SIC).

Event-study.

OLS regression. Test for roof-shaped relation by including the squared insider ownership.

Two-stage least squares regression.

In two separate OLS regressions with market value of equity as the only control variable Tobin’s Q and CAR are significantly increasing with inside ownership. The 2SLS regression reveals that inside ownership increases significantly with CAR, and CAR decreases significantly with inside ownership. Further, inside ownership decreases significantly with Tobin’s Q, and Tobin’s Q decreases insignificantly with inside ownership. All controls are significant. For both OLS and 2SLS there are none significant non-linear effects.

The incentive argument versus the insider-investment argument.

Loderer and Sheehan [1989], Journal of Finance

 

 

 

 

 

During the five years leading up to bankruptcy, the stockholdings of officers and directors in NYSE and AMEX bankrupt firms are no different from those observed in non-bankrupt firms.

 

Loire and Niederhoffer [1968], Journal of Law and Economics

 

 

 

 

 

Find that managers make abnormal returns when trading in their firm's stock.

The insider-investment argument.

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[1] Some of the studies have investigated other issues as well, such as, the relation between ownership structure and the risk of the firm’s performance.

[2] The reported period typically refers to the maximum period that a particular study applies. Often the performance variables are collected over the entire period, whereas the ownership variables and control variables are collected at one year in the investigated period. All studies use publicly traded firms (unless otherwise described), because they are easier to get information about.

[3] Abbreviations: Management control (MC); Ownership control (OC); Owner managed (OM); External control (EC); Strong owner control (SOC); Weak owner control (WOC); All owner control (AOC); Financial control (FC); Majority held (MH); Diffusely held (DH).

[4] The ownership variable is typically measured as concentration of ownership on a particular set of owners, e.g. ownership by managers or institutional investors.

[5] This colon includes 1) independent control variables, 2) dependent variables that are not performance or ownership variables, and 3) variables used for sample classification.