WHEN ARE PREFERRED SHARES PREFERRED? THEORY AND EMPIRICAL EVIDENCE. S. Abraham Ravid,* Aharon Ofer,** Itzhak Venezia,*** and Shlomith Zuta ****



Similar documents
Joint Production and Financing Decisions: Modeling and Analysis

F inding the optimal, or value-maximizing, capital

A Simple Model of Pricing, Markups and Market. Power Under Demand Fluctuations

CFRI 3,4. Zhengwei Wang PBC School of Finance, Tsinghua University, Beijing, China and SEBA, Beijing Normal University, Beijing, China

Penalty Interest Rates, Universal Default, and the Common Pool Problem of Credit Card Debt

Risk and Return. Sample chapter. e r t u i o p a s d f CHAPTER CONTENTS LEARNING OBJECTIVES. Chapter 7

Asymmetric Information, Transaction Cost, and. Externalities in Competitive Insurance Markets *

On Software Piracy when Piracy is Costly

On the predictive content of the PPI on CPI inflation: the case of Mexico

Price Elasticity of Demand MATH 104 and MATH 184 Mark Mac Lean (with assistance from Patrick Chan) 2011W

Effect Sizes Based on Means

Compensating Fund Managers for Risk-Adjusted Performance

A Multivariate Statistical Analysis of Stock Trends. Abstract

1 Gambler s Ruin Problem

An Introduction to Risk Parity Hossein Kazemi

Large firms and heterogeneity: the structure of trade and industry under oligopoly

An inventory control system for spare parts at a refinery: An empirical comparison of different reorder point methods

THE HEBREW UNIVERSITY OF JERUSALEM

An Empirical Analysis of the Effect of Credit Rating on Trade Credit

Multiperiod Portfolio Optimization with General Transaction Costs

401K Plan. Effective January 1, 2014

Managing specific risk in property portfolios

Large-Scale IP Traceback in High-Speed Internet: Practical Techniques and Theoretical Foundation

6.042/18.062J Mathematics for Computer Science December 12, 2006 Tom Leighton and Ronitt Rubinfeld. Random Walks

Piracy and Network Externality An Analysis for the Monopolized Software Industry

An important observation in supply chain management, known as the bullwhip effect,

Capital, Systemic Risk, Insurance Prices and Regulation

Risk in Revenue Management and Dynamic Pricing

The Economics of the Cloud: Price Competition and Congestion

On-the-Job Search, Work Effort and Hyperbolic Discounting

Two-resource stochastic capacity planning employing a Bayesian methodology

A Modified Measure of Covert Network Performance

Cash-in-the-Market Pricing and Optimal Bank Bailout Policy 1

Synopsys RURAL ELECTRICATION PLANNING SOFTWARE (LAPER) Rainer Fronius Marc Gratton Electricité de France Research and Development FRANCE

Computational Finance The Martingale Measure and Pricing of Derivatives

Evaluating a Web-Based Information System for Managing Master of Science Summer Projects

The Economics of the Cloud: Price Competition and Congestion

DEPARTMENT OF ECONOMICS DISCUSSION PAPER SERIES

Notes to the Accounts

DAY-AHEAD ELECTRICITY PRICE FORECASTING BASED ON TIME SERIES MODELS: A COMPARISON

Interbank Market and Central Bank Policy

Machine Learning with Operational Costs

Project Finance as a Risk- Management Tool in International Syndicated Lending

c 2009 Je rey A. Miron 3. Examples: Linear Demand Curves and Monopoly

The risk of using the Q heterogeneity estimator for software engineering experiments

Applications of Regret Theory to Asset Pricing

Pinhole Optics. OBJECTIVES To study the formation of an image without use of a lens.

X How to Schedule a Cascade in an Arbitrary Graph

The Portfolio Characteristics and Investment Performance of Bank Loan Mutual Funds

NBER WORKING PAPER SERIES HOW MUCH OF CHINESE EXPORTS IS REALLY MADE IN CHINA? ASSESSING DOMESTIC VALUE-ADDED WHEN PROCESSING TRADE IS PERVASIVE

What is Adverse Selection. Economics of Information and Contracts Adverse Selection. Lemons Problem. Lemons Problem

Financial Community Presentation. August 29, 2008

The Competitiveness Impacts of Climate Change Mitigation Policies

Beyond the F Test: Effect Size Confidence Intervals and Tests of Close Fit in the Analysis of Variance and Contrast Analysis

Project Management and. Scheduling CHAPTER CONTENTS

CRITICAL AVIATION INFRASTRUCTURES VULNERABILITY ASSESSMENT TO TERRORIST THREATS

Separating Trading and Banking: Consequences for Financial Stability

An actuarial approach to pricing Mortgage Insurance considering simultaneously mortgage default and prepayment

Pressure Drop in Air Piping Systems Series of Technical White Papers from Ohio Medical Corporation

CHAPTER 15 Capital Structure: Basic Concepts

THE WELFARE IMPLICATIONS OF COSTLY MONITORING IN THE CREDIT MARKET: A NOTE

Outsourcing and Technological Innovations: A Firm-Level Analysis

UNITED STATES OF AMERICA FEDERAL ENERGY REGULATORY COMMISSION

Dynamics of Open Source Movements

Principles of Hydrology. Hydrograph components include rising limb, recession limb, peak, direct runoff, and baseflow.

WASHINGTON UNIVERSITY IN ST. LOUIS Olin Business School CONTAGION OF A CRISIS, CORPORATE GOVERNANCE, AND CREDIT RATING

The impact of metadata implementation on webpage visibility in search engine results (Part II) q

How To Understand The Difference Between A Bet And A Bet On A Draw Or Draw On A Market

457 DEFERRED COMPENSATION PLAN EMERGENCY WITHDRAWAL PACKET

Capital Structure. Itay Goldstein. Wharton School, University of Pennsylvania

The Changing Wage Return to an Undergraduate Education

The Advantage of Timely Intervention

Index Numbers OPTIONAL - II Mathematics for Commerce, Economics and Business INDEX NUMBERS

Economics 431 Fall nd midterm Answer Key

A MOST PROBABLE POINT-BASED METHOD FOR RELIABILITY ANALYSIS, SENSITIVITY ANALYSIS AND DESIGN OPTIMIZATION

BUBBLES AND CRASHES. By Dilip Abreu and Markus K. Brunnermeier 1

Web Application Scalability: A Model-Based Approach

IEEM 101: Inventory control

The fast Fourier transform method for the valuation of European style options in-the-money (ITM), at-the-money (ATM) and out-of-the-money (OTM)

5 A recent paper by Courbage and Zweifel (2011) suggests to look at intra-family moral

Merchandise Trade of U.S. Affiliates of Foreign Companies

POISSON PROCESSES. Chapter Introduction Arrival processes

EFFECTS OF FEDERAL RISK MANAGEMENT PROGRAMS ON INVESTMENT, PRODUCTION, AND CONTRACT DESIGN UNDER UNCERTAINTY. A Dissertation SANGTAEK SEO

Time-Cost Trade-Offs in Resource-Constraint Project Scheduling Problems with Overlapping Modes

Corporate Compliance Policy

Buffer Capacity Allocation: A method to QoS support on MPLS networks**

European Journal of Operational Research

Automatic Search for Correlated Alarms

Branch-and-Price for Service Network Design with Asset Management Constraints

FREQUENCIES OF SUCCESSIVE PAIRS OF PRIME RESIDUES

TOWARDS REAL-TIME METADATA FOR SENSOR-BASED NETWORKS AND GEOGRAPHIC DATABASES

Monitoring Frequency of Change By Li Qin

A Test Of The M&M Capital Structure Theories Richard H. Fosberg, William Paterson University, USA

Softmax Model as Generalization upon Logistic Discrimination Suffers from Overfitting

Estimating the Degree of Expert s Agency Problem: The Case of Medical Malpractice Lawyers

TOPIC 2: TAX-BASED THEORIES OF CAPITAL STRUCTURE. would be interested in issuing as much debt as they possibly can. However, in a world with personal

Service Network Design with Asset Management: Formulations and Comparative Analyzes

Normally Distributed Data. A mean with a normal value Test of Hypothesis Sign Test Paired observations within a single patient group

The Magnus-Derek Game

Sage HRMS I Planning Guide. The Complete Buyer s Guide for Payroll Software

Transcription:

1 WHEN ARE PREFERRED SHARES PREFERRED? THEORY AND EMPIRICAL EVIDENCE By S. Abraham Ravid,* Aharon Ofer,** Itzhak Venezia,*** and Shlomith Zuta **** Latest revision: June 003 * Rutgers University, Faculty of Management, 180 University Av. Newark, NJ 0710 and Yale University, School of Management, ** Tel Aviv University, Tel Aviv, Israel, *** Hebrew University, Jerusalem, Israel, and Yale University, **** Tel Aviv University. We wish to acknowledge the helful comments of Frank J. Kerins and articiants at the FMA meeting in Toronto, 001. We also acknowledge the financial suort of The Israel Academy of Science, the Galanter Foundation, the Krueger Center of Finance, and the Whitcomb Center for Research in Financial Services. We remain solely resonsible for all errors.

ABSTRACT This aer demonstrates that referred stock may arise as an otimal security in a tax-induced equilibrium. This result is driven by graduated tax schedules and by uncertainty. In a more general sense, our results can be interreted as a temlate for including any security with a different tax treatment in a firm s caital structure. The first art of the aer demonstrates that the Miller (1977) equilibrium framework can accommodate more than two securities if different investor classes are taxed differently on each security and the tax schedule for each investor grou is uward sloing. We then simlify the tax schedule, but introduce uncertainty, which imlies the ossibility of bankrutcy and the ossible loss of tax shelters. The interaction of tax rates and seniority now affects the contribution of each security to after-tax firm value, as in some states the firm may not be able to ay either interest (or dividends) or even rincial to its various claimholders. It is shown why and how these features, i.e. the various tax rates and seniority, determine the financing equilibrium, which is obtained by equating the exected marginal tax benefit of all securities. We demonstrate that non- rofitable firms will tend to issue referred shares whereas rofitable firms will not find referred stock advantageous in our framework. Comarative statics with resect to various tax rates are derived as well. These redictions are tested using a large samle of firms from the late 90 s. The emirical testing broadly confirms the theoretical redictions.

3 I. INTRODUCTION AND LITERATURE REVIEW In this aer, we show how the interaction of cororate taxes, ersonal taxes, tax shelters and bankrutcy affects the choice among equity, debt and referred shares as instruments of financing. Secifically, we relate tax rates and rofitability to the choice of referred stock as art of the financing mix. In the second art of the aer, we test our roositions and find results that are consistent with our theoretical model. In a more general sense, our results can be interreted as a temlate for including any security with a different tax treatment in a firm s caital structure. Preferred stock has been used as means of financing for a long time, yet the existing literature rovides few convincing exlanations for issuing this security by non-regulated firms. Preferred stock resembles debt in that it romises re-determined levels of dividends. However, unlike interest on debt, referred dividends are not tax-deductible to the issuing firms. On the other hand, omission of dividends will not result in bankrutcy. Emirical studies (see for examle Masulis (1983)) show that when a firm reurchases equity and increases the roortion of referred shares in the caital structure, the stock rice imact is similar but of a lower magnitude than that resulting from retiring equity so as to increase debt. In other words, referred stock seems to be viewed as a artial substitute for debt. The traditional literature suggests two motives for issuing referred stock by utilities (see, e.g., Brealey and Myers (000), Coeland and Weston (1988)). First, referred stock is considered equity by the regulators, but rovides a attern of ayments similar to that of debt. It is therefore advantageous for utilities to issue referreds instead of debt, thus meeting regulators' equity constraints. Secondly, utilities can ass their costs on to the consumers and hence are less affected by the tax disadvantages of referreds. Most issuers of referred stocks are, however, industrial firms (See Houston and Houston (1990)). Thus, exlaining what motivates such firms to issue referred stock is quite imortant. Issuing referred stocks by non-regulated firms can be justified by clientele effects. Seventy

4 ercent of dividends received by cororations (85 ercent according to the former U.S. tax law) are tax-exemt. Thus cororations will be better off receiving dividends of referred stock rather than interest on debt or caital gains. 1 Linn and Pinegar (1988) find that issuance of referred stock by frequent issuers, such as utilities was anticiated by the market and hence rovided no new information; issuance by financials rovided tax benefits; and issuance by industrials conveyed new, and negative, information regarding the firm s rosects. Since 1993 some firms (in articular, Enron and Texaco) have been issuing a new tye of referred stock: Structured Preferred Stock (also referred to as monthly income referred stock, MIPS). Firms that issue MIPS create subsidiaries that raise money via referred shares. That money is then loaned to the original comany. The latter ays interest to the subsidiary. The subsidiary in turn asses the cash through to investors as referred dividends (see Irvine and Rosenfeld, 000). MIPS are treated as referred stock for financial statements and as debt for tax uroses. Practitioners attribute the oularity of this instrument to the fact that it lowers the debt-equity ratios, roviding the issuer with better credit ratings with some credit rating agencies (see Engle, Erickson, and Maydew, 1999). However, ever since its incetion, the favorable tax treatment of this hybrid has been called into question by the government and the IRS. In the aftermath of the Enron bankrutcy in 00 it seems MIPS may indeed by on the way out. Also, clearly, MIPS can be treated analytically as referred stock for one firm and debt for the other. Most of the earlier aers discussing referred stock have been fairly descritive in nature, and usually ignored taxation issues altogether. They include Fisher and Wilt (1968), Bildersee (1973), and Winger, Chen, Martin, Petty and Hayden (1986). Some elegant theoretical models include the otion ricing framework develoed by Emmanuel (1983), and aers by Titman (1984), and Heinkel and Zechner(1990). Emmanuel (1983) oints out that a key feature of referred stock, from the common equity-holders oint of view, is its dividend flexibility. That is, the referred stock dividend can be omitted by the firm without enalty, as oosed to omission of interest ayment on debt. Similarly, Titman (1984), suggests that referred stock can be used to eliminate stockholders' incentive to liquidate in sub-otimal states of nature without causing A nice descrition of the history of MIPS in the context of the Enron bankrutcy can be found in the Wall Street Journal (see Mckinnon and Hitt (00).

5 bankrutcy and in that sense can be an otimal security. Heinkel and Zechner (1990) resent an informational equilibrium with referred stock. They show that referred stock enhances the firm s debt caacity, because it creates additional incentives to invest. Debt and referred stock are therefore comlementary securities according to their model. Two contributions (Fooladi and Roberts (1986) and Trigeorgis (1988)) discuss some extensions of Miller's (1977) framework to include referred stock. The two aers rovide useful emirical insights which relate referred stock and taxes: Fooladi and Roberts show that in Canada, where referred stock income enjoyed a more favorable tax treatment (by virtue of dividend tax incentives) during the time eriod they discuss, referreds' roortion in the financing mix is four times higher than in the U.S. Trigeorgis considers a samle of utilities, and shows that tax rates and dividend ayments are statistically related to the weight of referred stock in the caital structure. More recently, Hovakimian, Oler and Titman (001) consider firms, which issued securities to raise external caital. They find that issuers of referred stock tend to be highly leveraged. This also imlies, emirically, that debt and referred shares are comlementary assets, since the more debt a firm uses, the higher the robability it will issue referreds and vice versa. Some of their other emirical results concerning the relationshi between the ratio of referred shares in the caital structure and rofitability, are consistent with our theoretical work and our emirical findings in this aer. Finally, there are two aers, which rovide additional emirical suort for the tax hyothesis that we develo in the current study. The first study (Houston and Houston (1990)) sought to identify issuing firms and firms which urchase referred stock. Most issuing firms in their samle had a lower effective tax rate than industry and market averages. Cororations urchasing referreds, on the other hand, had a significantly higher tax rate than industry averages. In a latter aer (Houston and Houston,00), the authors find a significant correlation between a tax variable and the robability of issuing referreds. The urose of this aer is to rovide an integrative and more robust tax-based model, which can exlain the inclusion of referred stock in the financing mix. This latter henomenon is exlained in two ways. First, if a graduated tax system is assumed, then Miller's (1977) model can be extended to include referred stock as well. Second, if we introduce uncertainty, then the resulting ossibility of bankrutcy and loss of tax shelters (even without assuming graduated tax

6 schedules) may establish referred stock as art of the otimal financing mix. Our theory imlies that less rofitable firms will tend to use referred stock in their financial mix. We also rovide some insights concerning the effect of taxation on the simultaneous choice of debt and referred stock, and therefore rovide clues as to whether referred stocks comlement or are substitutes for debt. We test our conjectures on a recent samle of firms, relating the ercentage of referred shares to rofitability, to the tax rates, to the firm s leverage, and to several control variables. The results suort the views exressed in the theory art of the study. The aer is organized as follows. The next section offers a discussion of the differences between the three tyes of securities: equity, debt and referred stock. The advantages and disadvantages to the issuers and buyers of each tye of security as functions of their tax status are addressed. In Section III we discuss direct extensions of Miller's model, assuming a graduated tax schedule and no bankrutcy. The existence of equilibrium with ositive amounts of each security is demonstrated. In section IV the case where the firm may not be able to meet its full contractual obligations is considered. Here we assume the same tax rates on each security for all investors, however, we allow for different tax rates across securities. Section V contains the emirical analysis. Section VI concludes. II. ON DIFFERENCES OF TAXATION AND SENIORITY BETWEEN SECURITIES Most income to referred shareholders is in the form of dividends, whereas common stockholders obtain a large ercentage of their income in the form of caital gains. Prior to the enactment of the 1986 tax law, there was a clear differentiation between the taxation of caital gains on the one hand, and referred income (dividends) and interest income on the other hand. For a while, the statutory rates were closer, but in the 90's, while the to ersonal rate ket going u, the long-term caital gains rate remained at 0%. Furthermore, one can defer caital gains, but not interest or dividend income. Another imortant issue is cororate tax deductibility. U.S. cororations are allowed to deduct 70% (85% according to the old law) of the dividends they receive from other cororations for tax uroses. This differentiation leads again, to different effective taxation on referred and common stock for different tax clienteles. Individuals may observe lower effective tax rates on total equity income, whereas for cororations effective tax ayments on total referred income may be lower.

7 There is also a difference in the tax effects of each tye of financing for the issuer of the securities. Dividend ayments are not deductible, whereas interest ayments are (MIPS, discussed earlier, are an interesting hybrid, but for analytical uroses they can be viewed as debt for one cororation and referred stock for another). The tax advantage of debt to the issuer, however, deends uon its tax status. This advantage will be more imortant for a rofitable firm than for a non-rofitable firm. In addition to the different tax treatments, there are differences in the seniority structure of claims that searate the three tyes of securities. Bondholders must receive their income first. Next come referred shareholders, and finally equity holders, who are the residual claimants. As we shall demonstrate, such tax and seniority differentials may lead to equilibria, which include debt, equity, and referred stock. III. THE CASE OF NO BANKRUPTCY In this section, the Miller (1977) model is extended to include referred stock. 3 Similar to Miller, we assume no bankrutcy. The only reason for the otential existence of any security in equilibrium is thus the differential statutory marginal tax rates of investors, and the marginal cororate tax rates of the issuers of securities. To simlify the resentation, we assume a risk-neutral, one eriod framework. Consider a firm that consists of a roject requiring an investment of I. It is financed in general by an amount D of debt, S of equity and P of referred stock, where I = P+S+D. Similar to Miller, investors are in different tax brackets. Also, the same investor may face different tax rates on the income from different securities. Denote the tax rate of investors in referred stock by t, the tax rate of investors in common stock by t g, and the tax rate on interest income as t 4 b. Given a cororate tax rate of t c, the after tax cash flows to the firm's claimants are as follows: 3 In addition to extending and generalizing studies such as Fooladi and Roberts (1986) and Trigeorgis (1988), the analysis is constructive as a reliminary ste towards the uncertainty model in the ensuing section. 4 In rincile, each tax rate on a given security must be indexed also by investor tye i. However, again following Miller, we shall abstract from this notation for now. Later we introduce the required indices.

8 To bond holders D+DR (1-t b ) To referred shareholders P+PR (1-t ) To common shareholders 5 {[(X-I-RD)(1-t c )+I-P-D-PR ]-S}(1-t g )+S R and R denote the romised rates of return on debt and referred stocks, resectively. The dereciation allowance is exogenous to the model and equal to the entire investment, I. X denotes the cash flows resulting from the roject. We assume that all cash flows available in Period 1 are treated as taxable income by the tax authorities. By assumtion X is large enough so that all security holders ay taxes. The value a firm financed by common stock, referred stock and equity is given by 6 V L = V U + {RD [(1-t b ) - (1-t c )(1-t g )] + PR (t g -t )}/(1+R) (3.1) where V u is the value of the unlevered firm. The second term, RD [(1-t b ) - (1-t c )(1-t g )], is the one eriod gain from using debt (as in Miller (1977)), whereas the last term, PR (t g -t ), reresents the one eriod gain from using referred stock. 7 The linearity of the value function (3.1) imlies that if there is no graduated tax schedule across individuals and the rates t, t g, t b, and t c are the same for all investors, a corner solution will usually emerge. Securities with lower tax rates will revail and others will be eliminated. Under a graduated tax system however, strict clienteles may form, where each investor grou will hold the combination of debt and non-debt security, which it finds otimal. This will 5 Note that S is not the market value of equity but the residual ortion of investment contributed by common stockholders. 6 Note that for an unlevered firm I=S, whereas for the levered firm, er definition, I = S+D+P. 7 Similar to Miller and his followers, we assume no tax-arbitrage via short-sales of any security. Also note that in a risk neutral framework where everybody gets aid all rates of return are essentially equal to the risk free rate. We could either allow for risk aversion or else write R everywhere, but since in later sections the distinction between the various rates of return becomes imortant, we referred to kee the resentation consistent and retain the resent notation.

9 occur under the following assumtion (Assumtion A): Suose investors can be groued into two grous I and J. For investors in grou I, equity is taxed less than referred stock, i.e. t i > t gi for each investor i in this grou. For investors in grou J, the oosite holds true, i.e. t gj > t j for each investor j in this grou. The above assumtion fits the attern of taxation in the U.S. Investors in class I can be considered as individuals for whom taxes on referred stock are higher than taxes on caital gains. Investors in class J can be considered as firms for whom taxes on referred stock are lower than taxes on interest. Proosition 3.1 states conditions under which only two securities will survive, and conditions that will allow for the three tyes of securities to be held in equilibrium. Proosition 3.1 a) If for all investors, i, t i > t gi only equity and debt will be issued in equilibrium. If t gi > t i only referreds and debt will be held. b) Under Assumtion A, equilibrium clienteles form as follows: Low tax bracket (on interest income) investors (to be recisely defined below) from both grous will invest in debt. High tax bracket investors in grou I will invest in equity whereas high tax bracket investors in grou J will invest in referred shares. Two marginal investors i* and j* will emerge for whom t gi* = t j* =t b. Proof: The first art of the roosition is essentially a re-statement of Miller's equilibrium, excet that one additional security is available. Secifically, assume that the tax rate on referred dividend is higher for all investors than the tax rate on common shares income. Following Miller, we can now normalize the tax rate on common stock income to zero. If we assume a graduated tax rate schedule for interest income, then the Miller equilibrium can be re-derived. Given the otion of tax-free equity and a tax advantage to debt on the cororate level, no investor will buy referreds, which are assumed to be taxed higher on the ersonal level without any offsetting cororate tax benefit. The above argument can be reversed to demonstrate that if equity is taxed higher it will not be included in the financing mix (or erhas one controlling share will remain, the same way that the Modigliani-Miller model redicts 100% debt). This demonstrates the first art of the roosition. We now turn to the second art. Suose that for some investors in grou I the

10 normalized tax rate on equity income is zero, the tax rate on referred dividend is ositive, and a graduated tax schedule exists for interest income. Then these investors whose tax rate is lower than the cororate tax rate will invest in debt, whereas investors in this grou who are at a higher tax bracket than the cororate tax rate will invest in equity. Nobody will buy referred stock, which is taxed higher than equity and offers no tax advantage to the issuer. Similarly, suose that for the other grou, J, the normalized tax rate on referred dividend is zero, whereas the constant tax rate on equity is ositive. The members of this grou who are in a tax bracket below the cororate tax rate will invest in debt, whereas the ones in a higher tax bracket will invest in referreds. The "marginal investors" from grous I and J will feature equal tax rates which, in the normalized case develoed in the roof, will also be equal to the cororate rate, as stated in the roosition. Note however that these two marginal investors will be taxed differently on both equity and referreds. If the base tax rate in the lower tax security is non-zero a similar analysis will aly, excet that the tax rate of the marginal investor will differ from the cororate tax rate 9. QED. Proosition 3.1 shows that in equilibrium, grous with different tax rates will gravitate towards the instrument which rovides this grou with a suerior tax treatment. In a graduated enough tax system, as er Assumtion A, there will be a clientele for each tye of security. In the following section, we show that uncertainty about future income, which may lead to the loss of tax shelters, allows firms to influence the exected tax rate of the marginal investors. This, in a way, creates differential effective tax rates to different grous of investors, and hence in equilibrium, each firm may issue ositive amounts of debt, referred shares and equity, even if the statutory tax rates on individuals are the same. IV. OPTIMAL LEVELS OF STOCK, PREFERRED STOCK AND DEBT WHEN BANKRUPTCY IS POSSIBLE 9 Note that the descrition above is as general as the Miller model. Even in Miller's model, if tax schedules are comletely indeendent of each other, then many equilibria are ossible, and the well known results may not hold.

11 In the revious section we have demonstrated that referred stock may be issued in equilibrium even under certainty (or certainty equivalence) as long as graduated tax rates are allowed. This section focuses on the imact of bankrutcy and the loss of tax shelters on firms' decisions to issue referreds. To that end, we simlify the tax structure, assuming now that all investors are in the same tax bracket for each of the three securities (although these tax rates may be different for different securities). While one cannot derive general solutions, we roose several scenarios under which referreds will be issued as art of the otimal security mix. The model resented is a one eriod, risk neutral 10 model. Thus the value of the firm (with an exogenous investment decision) is equivalent to the exected after tax value of cash flows to all security holders. The firm receives a stochastic oerating income distributed over the suort (0,), and then divides u cash flows according to strict seniority rules. Similar to several other aers (see for examle Kraus and Litzenberger (1973); Dotan and Ravid (1985)), it is assumed that uon bankrutcy, a fixed bankrutcy cost, B, is incurred. We further assume, for simlicity sake, that both debt and referred stock are issued at ar, and all market value adjustments are made through the romised rate of interest. We now detail the ranges of cash flows to claimants. In the uncertainty case, dividend, interest and rincial may or may not be aid deending on the realization of the stochastic cash flow X. The ranges are also functions of the decision variables: P, D and S, and the romised interest rate, R, on debt, the romised referred dividend R 11 and the tax rates. These ranges are resented below. Definition of the limits: X 0 = I + RD + PR /(1-t c ) 10 State rices such as introduced by De-Angelo and Masulis (1980) could be incororated into this model as well. This would render the model slightly more general, but it would comlicate the resentation a great deal without substantially altering the results. 11 Since there is a ossibility of non-ayment, the romised interest and referred dividend rates will differ from the risk free rate even under a risk-neutral scenario.

1 X 1 = I + RD 1 X = P(1+R ) + D (1+R) X 3 = P + D(1+R) X 4 = D(1+R) X 5 = D X 6 = B First Range X X 0 Income is high enough so the firm ays all taxes and uses both dereciation and interest tax shields. Stockholders income is (1-t g ) [(1-t c ) (X-I-RD) + I - PR -P-D-S] + S Bondholders income is D + RD (1-t b ) Preferred-holders income is P + PR (1-t ) (Note that I = P + D + S) Stockholders ay taxes on the difference between their income and the amount initially invested, S. Bondholders ay taxes on the interest, and referred -holders ay taxes only on the referred dividends. Second Range 13 X 0 > X X 1 X is somewhat lower. Now shareholders receive an amount lower than their initial investment, and hence ay no taxes. The firm still ays income tax. 1 If P > (I-D)/(1+R ) then X 1 and X are switched and cash flows are somewhat different. Proositions 3.1 will usually hold however. Also, P > (I-D)/(1+R ) imlies S < PR which is usually not the case. 13 While in rincile when caital losses occur tax carry-forwards and carry-backs can offset the losses, there is never full offset. To simlify the resentation somewhat, we assume that in the case of caital losses there is no refund. A more accurate tax code would only make the resentation cumbersome while adding no new insight. This aroach is common in aers which discuss tax issues, see for examle De-Angelo and Masulis (1980) or Dotan and Ravid (1985).

Stockholders now receive Bondholders income is 13 (1-t c )(X-I-RD) + (I-P-D) - PR D + RD (1-t b ) Preferred-holders income is P + PR (1-t ) Third Range X X < X 1 Now the firm's income is less than the value of its tax shelters, I + RD. The firm and its shareholders ay no taxes. Preferred stock-holders and debt-holders are still aid in full. Stockholders receive Bondholders income is Preferred-holders income is X - D - RD - P - PR D + RD (1-t b ) P + PR (1-t ) Fourth Range X 3 X < X The firm cannot ay its obligations to both referred shareholders and bondholders in full. Shareholders receive no income, referred-holders get all the rincial owed and some dividend. Bondholders are not affected. Here Stockholders income is 0. This range is imortant to our analysis. To areciate the imortance of this range note that the total taxes aid in this range are: (X-D-RD-P)t +RDt b An increase in P for this range of earnings decreases the total taxes of the firm, increasing the value of the firm, which is instrumental in establishing the ossibility of including P in the financial mix. Stockholders get 0 Preferred-holders receive P + (X - D - RD - P) (1-t ) Bondholders get D + RD(1-t b ) Fifth Range X 4 X < X 3

14 Similar to the revious range, excet that the firm cannot even ay the referred rincial. Here only bondholders ay any taxes. Stockholders get 0 Preferred-holders get X - RD - D Bondholders get D + RD (1-t b ) Sixth Range 14 X 5 X < X 4 In this and the following range, only bondholders receive any income. Secifically, debt rincial is aid but interest cannot be reaid in full. Stockholders get 0 Preferred-holders get 0 Bondholders get D + (X - D) (1-t b ) Seventh (last) Range B = X 6 X < X 5 aid. Bondholders take control of the firm and its residual cash flows. A bankrutcy cost (B) is Stockholders get 0 Preferred-holders get 0 Bondholders get X-B Since we are assuming a risk neutral world, the value of the firm is comuted as the exected value of all cash flows according to the cumulative distribution function F(X). Technically, we integrate the cash flows over all ranges. This is resented in aendix A. The otimal amounts of debt and referred stocks are obtained by differentiating the firm value exression in Aendix A with resect to D and P, and equating the derivatives to zero. 16 14 Technically seaking, the firm is already bankrut in this range. However, in order not to over-burden the aer with assumtions about the magnitude of the bankrutcy cost, we referred to assume that bankrutcy occurs only when rincial can't be aid. Thus all we need to assume is that B D and of course B X. 15 If P > (I-D)/(1+R ) then X 1 and X are switched and cash flows are somewhat different. Proositions 3.1 will usually hold however. Also, P > (I-D)/(1+R ) imlies S < PR which is usually not the case. 16 The equations in the aendix imlicitly derive the required rate of return for bondholders and referred shareholders resectively. While an exlicit calculation of these rates requires secific assumtions, all we need for the subsequent results is the signs of the derivatives. Clearly, as D goes u, the romised rate of return to

We obtain: 17 15 δ V L / δ P = { t g [ 1 - F ( X 0 ) ] ( R P ) } - { t [1 - F ( X ) ] } ( R P ) + [ F ( X ) - F ( X 3 ) ] t = 0 Where (RD)' is δ δ R D + R D δ and R P P ( R P ) R +. δ P δ V L / δ D = ( R D ) [ ( 1 - t b ) - (1 - t c ) ( 1 - t g ) ] ( 1 - F ( X 0 ) ) - [ F ( X 0 ) - F ( X 4 ) ] ( R D ) t b + ( F ( X 0 ) - F ( X1 ) ) tc + ( F ( X ) - F ( X 3 ) ) ( t + ( R D ) t g ) + ( F ( X 4 ) - ( F ( X 5 ) ) t b - ( F ( X 0 ) - F ( X ) ) P t δ R δ D δ R + P δ D ( 1 - F ( X 0 ) ) ( t g - t ) - B f ( X 5 ) = 0. The equation above rovides imortant intuitive insights into the role of referred shares bondholders goes u as the robability of full ayment declines. Similarly, as P goes u, R goes u, since the robability of aying rincial and interest declines. 17 It is assumed that the second order conditions are satisfied. Also note that while the decision variables aear in the limits, the derivatives with resect to the limits often cancel.

16 in a tax and seniority equilibrium. An increase in P, the rincial amount of referreds, leads to three different effects. First, an increase in the rincial increases the dividend aid, R. Because PR is higher, cash flows left over for shareholders in states in which they ay taxes (states in which X>X 0 )) are lower. Hence, they ay less taxes. Secondly and conversely, for referred shareholders, an increase in rincial (and the induced increase in dividends) imlies higher dividend ayments in states in which they get aid in full (X> X ). More ayments imly higher taxes. This trade-off is reflected in the first two terms of the first order condition. Clearly, tax rates and distribution functions will determine the sign and the magnitude of this combined effect. Thirdly, an increase in P decreases the ortion of ayment considered taxable dividends in states in which referred shareholders are not aid in full. These additional tax savings are reflected in the third term of the first order conditions. The fact that all three effects are not in the same direction leads to the ossibility of an interior solution, which is exlored below. Note, that if t g = t then the sum of the first two terms must be negative, since referred shareholders get aid in more states. This discussion leads to the following Proosition. Proosition 4.1 In the case of uncertainty, even without rogressive taxation, if equity and referred shares are taxed differentially, an interior otimal level of referred shares may obtain in equilibrium. Proof: See Aendix B where we derive sufficient conditions for an interior otimum to obtain. Note that roosition 4.1 and the following discussion should be viewed as secific examles for cases in which taxes (we do not require graduated schedules) and the effect of seniority of the various financial instruments on ayments in different states of nature lead firms to choose referreds as art of their financing mix. 18 We now roceed to discuss some interesting secial cases where referred shares may or may not be issued. These cases are corollaries to roosition 4.1. 18 For a discussion of the role of seniority and taxes in the determination of the value of residual securities in a similar framework, see Ravid (1994).

17 Corollary 1 If the firm is sufficiently unrofitable (in a sense to be defined below), it may otimally issue only referred shares Proof: By F.O.C. (first order conditions). If the firm is sufficiently unrofitable in the sense that F(X ) = 1, then equation (4.1) becomes δv L /δp = [F(X ) - F(X 3 )]t >0. In this case the firm will increase P as much as ossible. Whereas this result is quite intuitive when taxation of caital gains is higher than taxation of interest, it holds also when the oosite is true and may even hold when t g = 0 and t > 0. QED. Further intuition for the corollary is as follows: if the firm is sufficiently unrofitable, it is less likely to be able to ay its obligations in full. As noted, an increase in referred rincial will thus reduce the tax burden in states where only art of the dividend is aid. Corollary If the firm is sufficiently rofitable, but (at least weakly) there is some robability that shareholders' taxable income will not be ositive, referred shares will not be issued. This occurs even if t = t g. Proof: If the firm is very rofitable, the third term in the F.O.C. will aroach 0, and the first two terms will always be negative. It therefore follows that δ VL δ P < 0. Issuing referreds is never otimal since it reduces the value of the firm. Q.E.D. The intuition is the following. Increasing ayoffs to referred shareholders will (weakly) increase the tax burden in states in which common shareholders ay no taxes, whereas referred shareholders who are still aid in full, receive taxable dividends. If the firm is sufficiently rofitable, but shareholders do not always ay taxes, it may be advantageous to transfer cash to shareholders, since lower taxes will be aid in that case. If the firm is likely to always ay referred shareholders in full, then states in which only referred rincial and no dividend is aid (X >X>X 3 )) are unlikely. Hence, the tax consequences of increased rincial in such states

18 matters less (see Ravid (1994) for further discussion of this issue). Under uncertainty, different riorities in cash flow distribution may cause the exected marginal tax rates to differ even when statutory tax rates are the same 0. A change in the amount of any security issued will therefore change these exected rates, creating room for several taxdeductible and several non-tax-deductible securities at equilibrium. This contrasts with the certainty case where, if tax rates on each security are the same for all investors, equilibrium will result in only one security being issued. It is thus the rediction of this model that moderately rofitable comanies will tend not to issue referred shares whereas less rofitable firms will tend to issue more referreds. A test of the model would be to relate these facts to the cororate tax structure and rofitability 0. We now turn to some additional comarative statics. Secifically, we analyze the effects of changes in tax rates on the otimal amounts of debt and referred stock. Exact derivations and roofs are relegated to Aendix B. Claim 1 If debt and referreds are "comlement assets", i.e. if the cross derivative of a change in firm value with resect to the two assets is ositive, then an increase in the rate of taxation on equity will increase both the otimal level of debt and the otimal level of referred shares. Proof: See Aendix B. The intuition is the following: an increase in the tax rate on equity makes both referred stock and debt more desirable. Note that if the securities are "substitutes" then conclusions could be reversed, since the change in the otimal level of one non-equity security could inversely affect the benefits of the other. 0 We note also that as we change the amounts of debt and referreds, the exected return on these securities does not change. It is guaranteed by the equations in Aendix A. However, changing the amounts of debt and referred stock changes the total tax liability and the after tax exected cash flows to shareholders, thus affecting equity value. 0 The emirical analysis in Houston and Houston (1990) agrees with this rediction. The tax rates of firms which issue referreds (excet to some extent, utilities) tend to be lower than industry and market medians and means. This seems to imly lower rofitability. However, Heinkel and Zechner's (1990) conclusion, i.e. that firms with "moderate growth oortunities" will tend to issue referred shares is somewhat at odds with our analysis. The model is of course very different.

19 Claim An increase in the cororate tax rate will increase the otimal level of debt. It will increase the otimal level of referred stock only if the two securities are "comlements". Proof: See Aendix B. The intuition is this: An increase in the cororate tax rate will increase the otimal level of debt because of the increase in the value of tax benefits. The change in the level of referred stock deends on the substitution between the two securities. 1 If the two securities are comlements, then, as the marginal value of debt rises, so will the marginal value of referred shares, and more of the latter security will be issued. This is in site of the fact that referreds, like equity, are not tax-deductible. This oint, and the ervasive influence of the cross derivative between the two securities are imortant asects of the comarative statics analysis since they highlight the interdeendence between debt and referred stock. In other words, because of the tax interactions, cororate taxes will affect the otimal levels of all securities. One should note that if Heinkel and Zechner (1990) hyothesis holds, then an increase in debt issuance will also increase the otimal level of referred stock in the firm caital structure. V. EMPIRICAL IMPLICATIONS AND RESULTS The theory has two main redictions regarding the ercentage of referred stock in the cororate caital structure. The first rediction concerns the relationshi between referred stock and rofitability. The more rofitable the firm, the less referred stock should be issued in equilibrium. Put differently, the ercentage of referred stock in the caital structure should decrease with rofitability, everything else equal. The second rediction concerns referred stock and cororate tax rates. The relationshi 1 This claim should be interreted carefully - although the absolute quantities of both referreds and debt may increase, the relative use of debt vs. referred may change in either direction (see Trigeorgis (1988) for an emirical investigation of this issue).

0 between the ercentage of referred stock in the caital structure and the cororate tax rate deends on whether referred stock and debt are substitutes or comlements. If they are comlements, then a higher tax rate should result in an increase in the ercentage of referred stock in the caital structure. If, on the other hand, debt and referred stock are substitutes, a higher tax rate results in a decrease in the ercentage of referred stock in the caital structure. Even if we cannot directly establish whether the two securities are substitutes or comlements, a significant correlation between tax rates and the share of referreds in the caital structure would rovide conditional suort to the redictions of the model. We test these redictions on a large samle of firms in the late 1990 s. Our deendent variable is the ercentage of referred stock in firms caital structure. The imortant indeendent variables include roxies for rofitability and for the cororate tax rate. Control variables, from other studies, include firm size and tangibility of assets (see, for examle, Titman and Wessels (1988), Rajan and Zingales (1995)). We also include the ercentage of debt in the caital structure. Our basic regression equation is therefore: % referred assets = C + β * rofitability + β * taxrate + β * debtratio + β * size + β * tan gibility + ε 1 3 4 5 We exect a negative sign for the roxy for rofitability, whereas the sign of the coefficient on the tax rate variable deends on the relationshi between debt and referred stock. This relationshi is not easy to test, either way the model does redict that the coefficient should be significantly different than zero. Descrition of the Data Our data source is the Comustat database, which contains annual data for various accounting variables. We ran our tests on annual data as well as on averages of the data items for different years. As is well known, financial reorting by firms is subject to many arbitrary choices. Hence, results from any given year could suffer from biases. Also, most of our variables, for examle, the ercentage of debt or referred stock in the caital structure, may be sticky (see Welch (003)).

1 To address this issue, we follow Rajan and Zingales (1995) and Titman and Wessels (1988), and run cross-sectional tests on averages of the variables (in addition to individual years). The results for the averages are exected to be more statistically significant than those for the annual regressions (in other words, we exect higher t-statistics and lower P-values for the regression on the averages than for the annual regressions). The individual years we selected were 1996, 1997 and 1998, and the averages are taken for these three years. To be included in the average regression, a firm has to have data for all three individual years, and thus we lose a number of observations in that regression. The basic regressions, however, include all firms for which data is available. We then run the tests on sub-samles to check robustness of our results. The first robustness check excludes the smallest firms, i.e. those with less than ten million dollars in annual sales (ten million dollars is the tyical threshold as defined in most emirical studies). Excluding the smallest firms resulted in a loss of about 0% of the data oints. A second reasonable screen is excluding utilities. Utilities are tyically excluded from emirical tests because they are subject to regulation, in much the same way that financial firms are tyically excluded from emirical studies because of their secialized balance sheets. However, our case is different because utilities used to be the rimary issuer of referred stock (although there is some evidence that this is not the case anymore - see Houston and Houston (1990) and (00)). Therefore we did not want to exclude utilities in most of our work. However, following the common ractice in emirical work, we did try to run regressions without utilities. Excluding utilities results in a loss of a few dozens of observations. We also run the tests for the sub-samle, which excludes both the smallest firms and utilities. Methodology The estimation rocedure we use is Tobit because some of our variables are censored. I.e. the ercentage of referred stock in the caital structure cannot be negative and cannot exceed 1. Our roxies for rofitability are return on assets (ROA) and return on equity (ROE). Our An alternative could have been dealing with anel data. However, in our case, anel data may be roblematic, because the time series of observations for any one firm is not indeendent.

roxies for size are logarithm of assets and the logarithm of sales. To roxy for tangibility we use the ratio of fixed assets to total assets. Our deendent variable is the book value of referred shares divided by the total assets, where debt is taken at book value and equity is taken at market value. This aroach is known as a quasi-market aroach and is imortant since book values for equity are very different from market values from equity and meaningless. Quasi- market values are commonly used in emirical literature because of data limitations (see, for examle, Hovakimian, Oler and Titman (001), Gilson (1997), Rajan and Zingales (1995), and Titman and Wessels (1988)). Similarly, our leverage ratio is the book value of debt divided by the market value of assets, also in the quasi-market form. One should note that debt ratios often exceed one when equity is taken in book values, and this should be taken into account. For the tax rate, our roxy is taxes aid over re-tax income. Graham (1996, 000) uses an innovative simulation methodology to better aroximate the marginal tax rate firms are aying. His work is highly comlex and involves forecasting income (based on a random walk with a drift assumtion) 15 years forward. Such an endeavor would be difficult for our data, but more imortantly, most of Graham s criticism refers to the relationshi between the marginal tax rate and incremental debt financing. Here we have cross-section (rather than time series) data, and further, we average our variables over several years. Thus we should avoid most, if not all, of the itfalls Graham s methodology seeks to correct. We also use different subsets sorted by tax rates. A detailed descrition of the variables is delegated to aendix C. Results Tables 1-5 show the results of some of the different regressions for the three individual years as well as for the averages across the years. Table 1 details the results for the samle which includes all firms. Table contains the results for the sub-samle which excludes the smallest firms (about 0% of the observations). Table 3 shows the results for the sub-samle which does not include utilities. Table 4 contains the results for the sub-samle which includes neither the utilities nor the smallest firms. Table 5 contains the results of some of the regressions

3 where extreme outliers of the tax rates were excluded. The findings are consistent across the different sub-samles and the different roxies and aear to be robust. First, with resect to rofitability we find the attern redicted by our theory. As rofitability increases, the ercentage of referred stock in the caital structure decreases. This holds true for the individual years as well as for the averages, using ROA and ROE (the results for ROA and ROE are very similar, and we resent in the tables the results for ROA only), for all firms as well as the larger ones, and with and without utilities. Moreover, the relationshi is usually highly statistically significant. This verifies the main result of our theoretical model. With resect to our second rediction, concerning the effect of cororate tax rate on the use of referred stock, we find (again, consistently across sub-samles and roxies), that as the tax rate increases, the ercentage of referred stock in the caital structure decreases. However, the tax rates as retrieved from Comustat have extreme outliers, (e.g., tax rates larger than 1 and negative tax rates). Inclusion of such outliers roduces results that are not always statistically significant, esecially for the individual years. Once we exclude the outliers the results become highly statistically significant. We resent two variants on this theme: first, we exclude all observations with tax rates below 0, and above 0.65, and in the second case we exclude observations with tax rates below 0.0 and above 0.36. We also observe that the coefficient of the debt ratio (DR) is statistically significant and ositive. This imlies that the more leveraged the firm the more likely it is to issue referred stock. This oints to a comlementarity between the two forms of caital. It also agrees with the univariate results of Hovakimian, Oler, and Titman (001), and with the theoretical redictions of Heinkel and Zechner (1990). VI. CONCLUSIONS This aer resents a theoretical model that shows how tax and bankrutcy considerations alone, may lead firms to include referred stocks in the otimal financing mix. We rovide several redictions, relating the ercentage of referred stock to variables such as rofitability, tax rates, and the ercentage of debt in the caital structure. We then test our redictions on a samle of firms from the late 90 s.

4 By and large, the results from our regressions are consistent with the model. We find that as rofitability increases, the ercentage of referred stock in the caital structure decreases. We also find that as the tax rate increases, the ercentage of referred stock in the caital structure decreases. Our results are robust to the inclusion of the smallest firms, utilities or both. They are also robust to the use of different roxies and imrove as we limit the tax rate to its statutory levels. Our work does not resolve the issue of whether debt and referred shares are substitutes or comlements, and how should such relationshis be defined. We share this with all revious emirical research, including for examle, Hovakimian, Oler, and Titman (001). Finally, it should be clear that our framework can be extended to include any tye of security with different tax and legal treatment. In that sense, our contribution can be summarized as follows: even if one only cares about taxes and bankrutcy costs, the otimal caital structure may include several non-tax deductible securities, as long as non-tax-aying and bankrutcy states are ossible.

5 Aendix A Calculation of the value of the firm: f(x) is the density function of cash flows over the suort [0, ]. We are taking the exected value of cash flows to all claim-holders. V L = X0 { [ ( X - I ) (1- F ( Xi ) t c ) (1- t = g Xi - f ( X ) d x. ) + I ]+ R D [ (1- t b ) - (1- t c ) (1- t g ) ]} + P R ( tg - t )}f ( X ) d X + X0 X1 { (1- t c ) ( X - I ) + I + R D ( tc - tb ) - P R t } f ( X ) d X + X1 X { X - P R t - R D tb } f ( X ) d X + X X3 { X (1- t ) + D [ R ( t - tb ) + t ]+ Pt } f ( X ) d X + X3 X4 ( X - R D t b ) f ( X ) d X + X4 X5 [ X (1- t b ) + D t b ] f ( X ) d X + X5 X6 ( X - B ) f ( X ) d X

6 Note that the tax differentials lay an imortant role in the determination of firm value since in different intervals, different claimholders are resonsible for the tax liabilities relevant for the same cash flow. We now comute the required rate of interest on bonds and on referred stocks resectively. These rates are the solutions of the following imlicit equations: X [ P + P R ) ] f ( X ) d X + X X3 [ P + ( X - D - R D - P ) (1- t ) f ( X ) ]d X + X3 X4 ( X - D - R D ) f( X ) d X = P + P R 0 (1- t ) ( for referreds ) X4 [ D + R D (1- t + X5 0 b ) ] f ( X ) d X ( X - B ) f ( X ) d X + D = D R + X4 X5 [ D + ( X - D ) (1- t 0 (1- t (1- t b ) b (for ) ]f ( X ) d X debt) where R 0 is the interest rate on risk free taxable bonds. One notes from the equations and the definition of the limits of integration that R (the romised rate of interest on bonds) is a function of D, and R (the romised referred dividend) is a function of D and P. Since all investors are assumed to be risk neutral, the equations romise both referred shareholders and bondholders exected returns equal to the risk free rate. Proof of Proosition (4.1) Both the distribution function and (R P)' are non-linear functions of P. A sufficient δ V condition for a ositive amount of referred stock to be issued is that > 0 at P = 0.Using δ P δ V Equation (4.1), the requirement > 0 translates into the following sufficient condition. δ P P=0