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Wealth and Risk

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HOW TOTAL WEALTH OF THE CEO AFFECTS THE RISK POLICY OF FIRM

OLD DOMINION UNIVERSITY
FIN 863
FINAL PROJECT

BY SONIK MANDAL CHARLIE SWARTZ

INTRODUCTION
Agency theory states that the goals of the owners and the managers of a firm diverge in a way that the managers take less risk since their ownership of the company is much less compared to the owners of the firm who have a much bigger stake in the company. Thus managers being risk averse, they forego profitable ventures if they anticipate them to be risky (Guay, 1999, Jensen & Meckling, 1976). Making the salary structure more convex by introducing more option-based compensation and stock awards is one way owners try to align the goals of the managers with the owners. But managerial wealth attached to the firm is only a fraction of their total personal wealth in the portfolio. Other components of manager’s total wealth could be stocks owned in other companies, real estate portfolio, and other debt related securities. A lot of research has been done in the past explaining how managerial compensation structure (options, stock awards etc.) affect his risk taking abilities (Knopf et al. 2002, Rogers, 2002, etc.). But not much research has been done showing how manager’s outside wealth affects his risk taking in the firm. As far as we know, the only paper that has looked at this relationship is by Elsila et al. 2013 but that paper only looked at the Swedish listed firms. They found that higher the proportion of the CEOs wealth to the firm, more risk averse the manager would be. Similar to them, we would be using the “wealth ratio” variable, which is defined as the proportion of the manager’s total personal wealth invested in the company. It has been shown in the previous literature that higher delta corresponds to more risk taking and higher Vega of option portfolio of manager corresponds to less risk taking (Knopf et al. 2002, Rogers, 2002). But the relation of delta and Vega of the option portfolio with the risk variable when the wealth ratio is also an independent variable has not been looked upon. This paper contributes to the literature in the following ways: Firstly, no previous paper has looked at the effect of wealth ratio to risk in US listed firms. Secondly, most past literature have emphasized the importance of effective compensation structure to affect the managers’ risk appetite, but no paper have looked upon the total outside wealth of the managers portfolio and how that affects his decision making process.

2. Theory Development:
2.1. Total personal wealth of the manager and risk aversion: A manager’s total wealth is equal to the wealth invested in the firm plus any wealth invested outside the firm. Manager’s wealth in the company includes any stock holdings (preferred and common), option holdings, debt holdings etc. Outside wealth of the manager includes stock and debt holdings of companies, any real estate holdings, REIT’s etc. Similar to Elsila et al. 2013, we are using the wealth ratio variable to determine the risk aversion of the manager. Wealth ratio is defined as the ratio of the wealth invested in the firm to the total wealth of the manager. Higher the ratio more would be the risk aversion of the manager. This is consistent with the previous literature predicting that managers whose incentives are tied more closely to the firm are risk averse (Jensen & Meckling, 1976; Berle & Means, 1932). Incentives awarded in the form of options makes the compensation structure more convex thus making the manager less risk averse (Rogers, 2002, Chen et al. 2006).

3. Variables description: 3.1. Dependent variable: Our main dependent variable is the operating leverage ratio of the firm, which is defined as the ratio of fixed to operating variable costs. This ratio measures the business risk of the company. This variable has been extensively used as a measure of riskiness of the firm in the previous literature (Lev, 1974; Saunders et al. 1990 etc.). A high ratio of operating leverage would mean that the firms’ share of fixed costs is high relative to the variable costs suggesting higher business risk if demand or economic conditions deteriorate, and due to the substitutability of production factors, managerial decisions play a big part in affecting the operating leverage (Lev, 1974). In addition, financial leverage is also used as a dependent variable in this paper to be consistent with the previous literature. Financial leverage is defined as the ratio of the total debt of the company to the total assets. Higher the financial leverage, greater is the risk profile of the company.

3.2. Independent variable: Our main independent variable is the wealth ratio. This variable is defined as the ratio of the wealth invested in the company to the total personal wealth of the executive. Higher the wealth ratio more would be risk aversion of the manager, and thus lower would be the financial and operating leverage of the company.

3.3. Control variables: 3.3.1. Delta and Vega of the option portfolio of the manager: Delta of the managers’ option portfolio refers to the sensitivity of the option price with the stock price of the firm while the Vega is defined as the sensitivity of the option price with the volatility of the stock. This two ratios has opposite effects on a manager’s decision making; delta of the option portfolio corresponds to risk aversion by the manager while the Vega of the portfolio is related to more risk taking by the manager (Knopf et al. 2002, Rogers, 2002). Thus we would expect a positive relationship between the delta and the leverage variables but a negative relationship between Vega and the leverage variables.

3.3.2. R&D activities: This variable is defined as the ratio of the R&D expenses of the firm to the total assets of the firm. Firms with a higher R&D expenditure would have a higher risk profile and so we expect a positive relationship between R&D activities and leverage ratios.

3.3.3. Total assets: To control for firm size, we use the log of the total assets of the firm. We expect a positive relationship between the risk leverage ratios and the total assets variable since

3.3.4. Age of the manager: This variable is defined as the log of the age of the manager. We would expect a negative relationship between age and the risk leverage variables since with age; managers would be more conservative and try to preserve their earned wealth.

3.3.5. Tenure as CEO/executive position: This variable is defined as the log of the tenure of the manager in his executive position. Higher the tenure of the manager more would be the experience of the manager at the current position, and so more the manager would be efficient in maintaining a stable risk profile of the firm. Thus we would expect a negative relationship between the tenure as a manager and the risk leverage ratios.

3.3.6. Stock holdings of the CEO: This variable is defined as the log of the stock holdings of the CEO in the firm. We would expect a positive relationship between stock holdings of the manager and the risk leverage ratios of the firm.

3.3.7. Duality of the CEO/manager: This variable is defined as a binary variable, which is equal to 1 if the CEO is also the chairman of the board and 0 otherwise. We would expect a negative relationship between the duality variable and the risk leverage ratios, as when the manager/ CEO is also the chairman of the board, he would be more responsible for his decisions, and so would be more risk-averse, and so would take on less debt and would be more flexible in his daily activities.

3.3.8. Firm age: This variable is defined as the log of the difference of the founding date of the company and the respective years analyzed in the paper. We would expect a positive relationship between the firm age and the risk leverage ratios since more mature companies would have higher debt and higher capital expenditures compared to younger firms.

REFERENCES: 1. Guay, W, 1999. The sensitivity of CEO wealth to equity risk: an analysis of the magnitude and determinants. Journal of Financial Economics, 53 (1), 43-71. 2. Jensen & Meckling, 1976. Theory of the firm: managerial behavior, agency costs and ownership structure. Journal of Financial Economics, 3. 305-360. 3. Elsila, A., Kallunki, J., Nilsson, H., & Sahlstrom, P, 2013. CEO personal wealth, equity incentives and firm performance. Corporate Governance: An International Review, 21 (1). 26-41. 4. Berle, A., & Means, G, 1932. The Modern Corporation and private property. Harcourt, Brace & World, New York, NY. 5. Knopf, J., Nam, J., & Thornton, J, 2002. The volatility and price sensitivities of managerial stock option portfolios and corporate hedging, Journal of Finance, 57 (2). 801-813. 6. Chen, C., Steiner, T., Whyte, A. 2006. Does stock option-based executive compensation induce risk-taking? An analysis of the banking industry, Journal of Banking and Finance, 30. 915-945. 7. Rogers, D., 2002. Does executive portfolio structure affect risk management? CEO risk-taking incentives and corporate derivatives usage, Journal of Banking and Finance, 26 (2). 271-295. 8. Lev, B. 1974. On the association between operating leverage and risk. Journal of Financial and Quantitative analysis, 9 (4). 627-641. 9. Saunders, A., Strock, E., & Travlos, N. 1990. Ownership structure, deregulation, and bank risk taking, 45 (2). 643-654. 10.

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