<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">TI</journal-id><journal-title-group><journal-title>Technology and Investment</journal-title></journal-title-group><issn pub-type="epub">2150-4059</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ti.2012.32011</article-id><article-id pub-id-type="publisher-id">TI-19391</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Business&amp;Economics</subject></subj-group></article-categories><title-group><article-title>
 
 
  Investment Timing with Incentive-Disincentive Contracts under Asymmetric Information
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>akashi</surname><given-names>Shibata</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Michi</surname><given-names>Nishihara</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Graduate School of Social Sciences, Tokyo Metropolitan University, Tokyo, Japan</addr-line></aff><aff id="aff2"><addr-line>Graduate School of Economics, Osaka University, Osaka, Japan</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>tshibata@tmu.ac.jp(AS)</email>;<email>nishihara@econ.osaka-u.ac.jp(MN)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>29</day><month>05</month><year>2012</year></pub-date><volume>03</volume><issue>02</issue><fpage>74</fpage><lpage>86</lpage><history><date date-type="received"><day>January</day>	<month>15,</month>	<year>2012</year></date><date date-type="rev-recd"><day>February</day>	<month>13,</month>	<year>2012</year>	</date><date date-type="accepted"><day>February</day>	<month>21,</month>	<year>2012</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  This paper examines a manager’s investment timing in the presence of asymmetric information between an owner and the manager. In particular, we extend the asymmetric information problem by incorporating not only an incentive but also disincentive. Investment timing is delayed more under asymmetric information than under symmetric information. However, investment timing under asymmetric information converges to the symmetric information investment timing by making the disincentive (penalty) for the manager’s untruthful report sufficiently large. Consequently, by adopting an enlarged set of incentive-disincentive contracts framework, we showed that there is a relationship between the symmetric and asymmetric information problems.
 
</p></abstract><kwd-group><kwd>Real Options; Asymmetric Information; Incentive-Disincentive; Principal-Agent Problem</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>In most modern corporations, owners delegate the corporate management to managers, taking advantage of managers’ special skills and expertise. In this situation, asymmetric information is likely to exist between them. Asymmetric information is a situation where a portion of the underlying state variable is privately observed by the managers, while it is unobservable by the owners. Managers with private information have an incentive to provide a false report and then divert free cash flow to themselves. Thus, asymmetric information leads to agency conflicts.</p><p>The real options model has become a standard framework for investment timing decisions in corporate finance. For the interested reader, Dixit and Pindyck [<xref ref-type="bibr" rid="scirp.19391-ref1">1</xref>] provide an excellent overview of the standard real options approach. The main result is to obtain the optimal investment timing and project value under uncertainty. In the standard real options model, however, there are no agency conflicts between owners and managers, because the firm is assumed to be managed by owners.<sup>1</sup></p><p>Several studies have begun the task of incorporating agency conflicts into the real options model. Grenadier and Wang [<xref ref-type="bibr" rid="scirp.19391-ref2">2</xref>] (hereafter GW) develop models of investment timing in the presence of agency conflicts arising from asymmetric information between owners and managers.<sup>2</sup> In such a situation, owners must design a contract to provide mechanisms for managers to reveal private information truthfully. They assume that the owners give the managers an incentive to reveal the managers’ private information. The implied investment timing is then delayed, compared with that under symmetric information, which leads to a decrease in the stock price (owners’ value). Although these strategies turn out to be suboptimal, they reduce the owners’ losses arising from asymmetric information. Without any mechanism that induces managers to reveal private information truthfully, owners suffer further distortions.</p><p>To the best of our knowledge, there has been little examination of such contracts other than the incentive mechanism in a real options model under asymmetric information. Owners may increase their own value by designing other mechanisms to induce managers to reveal private information truthfully. One important way is to use a disincentive mechanism. For example, because an owner audits a manager at a cost, the owner imposes penalties on the manager if an untruthful report by the manager is detected.<sup>3</sup> Thus, it is natural to design an optimal contract containing both incentive and disincentive mechanisms. In most modern corporations, the disincentive system is designed so that owners can inspect managers’ behaviour.</p><p>Shibata [<xref ref-type="bibr" rid="scirp.19391-ref12">12</xref>] (hereafter, S) extends the model of investment timing developed by GW to design a contract with an incentive-disincentive mechanism, in which the owners induce the managers to reveal private information by giving bonuses and imposing penalties when an untruthful report is detected by randomized auditing. Obviously, the incentive-disincentive scheme in the S model expands on that of the incentive-only scheme in the GW model. Thus, the investment timing distortions in the S model are smaller than those in the GW model. Nevertheless, penalties are decided by the owners endogenously, and they are restricted to be less than the maximum amount of the managers’ diverted cash flows for untruthful reporting. These two features of the model are unreasonable in practice as follows. First, the penalties are specified not by the owners, but by legislation. Second, the penalties are not always restricted to be less than the maximum amount of the managers’ diverted cash flows. Suppose that, for example, although the managers divert free cash flows of 30,000 USD to themselves using their information advantage, the managers’ untruthful actions are detected during auditing. Then, in the S model, the managers are fined a penalty of 30,000 USD, which equals the diverted cash flow. However, in practice, a court applying the legislation can impose a penalty (e.g., 50,000 USD) of more than the diverted cash flow of 30,000 USD. Thus, it is reasonable that penalties are imposed on owners exogenously and that the penalties are not always less than the diverted free cash flows when untruthful reporting is detected during auditing.</p><p>This paper extends the model of investment timing with incentive-disincentive contracts under asymmetric information between owners and managers by eliminating the assumption that the penalties are less than the diverted cash flows. By assuming that penalties are imposed on the owners exogenously, the penalties may be smaller or larger than the diverted cash flows. Then, the set of incentive-disincentive contracts could be enlarged, compared with those in the S model. This paper highlights how the enlarged set of incentive-disincentive contracts influence investment timing, the stock price (owners’ value), and social welfare. In the existing papers discussed above, there is a divergence in investment timing and these values between the symmetric and asymmetric information cases. By adopting an enlarged set of incentive-disincentive contracts framework, our paper makes the first attempt to bridge the gap between the symmetric and asymmetric information cases.</p><p>In our results, the implied investment triggers (timings) can be derived in three feasible regions, depending on the magnitude of the exogenous penalties. The three feasible regions are the incentive-only (bonus-incentive only) region, the incentive-disincentive combination (bonus-incentive and audit-penalty) region, and the disincentiveonly (audit-penalty only) region. The investment trigger in the incentive-only region is equivalent to the one in the GW model. The investment trigger in the combination region includes the one in the S model. Most importantly, the symmetric information investment trigger of McDonald and Siegel [<xref ref-type="bibr" rid="scirp.19391-ref13">13</xref>] (hereafter MS) can be approximated by making the penalty for the manager’s false report sufficiently large. Consequently, by adopting an enlarged set of incentive-disincentive contracts framework, we show that there is a relationship between the symmetric and asymmetric information problems.</p><p>We analyse inefficiencies in investment timing, stock price (owners’ values), and total social welfare (loss) arising from asymmetric information. An increase in the penalty for managers’ cheating makes the suboptimal investment timing under asymmetric information approach the same as the optimal timing under symmetric information, which increases the stock price (i.e., increases the efficiency of the owners’ welfare). In contrast, an increase in the penalty does not necessarily rise the total social welfare. Thus, we conclude that an owner’s rationality does not necessarily increase total social rationality. In other words, an increase in the penalty does not necessarily increase the efficiency of the total social welfare while it always increases the efficiency of the owners’ welfare.</p><p>The paper proceeds as follows. Section 2 describes the framework of our model. It is useful to consider the symmetric information problem as a benchmark before analysing the asymmetric information problem. Section 3 provides the solution to the asymmetric information problem. We then discuss the properties of the solution. Section 4 investigates the numerical implications. Section 5 concludes. Technical developments are contained in two appendices. Appendix A contains proofs of the results in the paper. Appendix B contains the solutions to the optimization problems of GW and S to compare our results with theirs.</p></sec><sec id="s2"><title>2. Model</title><p>In this section, we formulate our model. Subsection 2.1 describes the model framework. Subsection 2.2 formulates the asymmetric information problem. Subsection 2.3, as a benchmark, provides the solution to the symmetric information problem.</p><sec id="s2_1"><title>2.1. Setup</title><p>The owner of a firm has the option to invest in a single project. We assume that the owner (principal) delegates the investment decision to a manager (agent). Throughout our analysis, we assume that the owner and the manager are risk neutral and aim to maximize their expected pay-offs.</p><p>If the investment option is exercised at time t, the firm pays the one-time fixed cost <img src="4-9900128\7a7305bd-a0ae-4d91-863e-a05fdd1d0c1b.jpg" /> and receives cash flow<img src="4-9900128\b1411ca0-af02-43b0-b326-d7ec46668a89.jpg" />, which follows a geometric Brownian motion:</p><p><img src="4-9900128\c81abdd4-2789-4b9a-9ad2-6045cb4957f5.jpg" />,<img src="4-9900128\f1773319-ad9f-45f0-9f3b-1c7fb76f74c6.jpg" /> (1)</p><p>where <img src="4-9900128\64a8b859-2f6d-45fd-a449-261546217d89.jpg" /> denotes a standard Brownian motion, and where <img src="4-9900128\6964936d-3fa8-4d20-81d4-05f99e97f8d3.jpg" /> and <img src="4-9900128\d6f94a51-722f-4fc0-9f84-33985bce3fb3.jpg" /> are positive constants. For convergence, we assume that <img src="4-9900128\6acb2984-dc01-4b7c-993e-77a8251b4094.jpg" /> where <img src="4-9900128\1b6dd9cb-b356-47f6-953e-1b07d26ad9a7.jpg" /> is a constant interest rate.<sup>4</sup> We assume that the one-time fixed cost, <img src="4-9900128\9830859c-35de-4fcc-9fd6-749b1691de21.jpg" />, takes one of two possible values: <img src="4-9900128\592eee67-c816-446b-a535-750e9e04aefb.jpg" />or <img src="4-9900128\f822c0fc-ea2a-4c5f-afff-ed73205cd950.jpg" /> with<img src="4-9900128\91f7a8a4-fcaf-494d-86fd-312edcbaa7d9.jpg" />, where <img src="4-9900128\7043fe38-890f-4ae7-aeef-f24e124ca5dd.jpg" /> for all<img src="4-9900128\eaf57478-9f9f-430f-ae98-15059617ddf4.jpg" />. We denote<img src="4-9900128\8f941364-62cb-4c50-854c-d01c84fdb783.jpg" />. We assume that <img src="4-9900128\654a9176-4b99-4620-8872-db8f4dc407ba.jpg" /> represents “lower cost” expenditure and <img src="4-9900128\7be355b3-af86-4a7b-b1b7-883bfd3ebe3d.jpg" /> “higher cost” expenditure. The probability of drawing <img src="4-9900128\740a036f-879c-4141-ac0f-51f06630ed66.jpg" /> equals<img src="4-9900128\6553cced-7a0c-444f-9449-2c99c2f92f80.jpg" />, an exogenous variable.</p><p>Let <img src="4-9900128\207db793-fab8-430b-be82-f938f9791e73.jpg" /> denote the project value for <img src="4-9900128\a791d377-a953-420d-87d4-d6e445554242.jpg" /> (<img src="4-9900128\170e0fa3-a69b-43e9-97c9-1a2169fc720b.jpg" />). The value is defined as</p><p><img src="4-9900128\7130f6d4-1d97-4db5-a281-2849757059ae.jpg" />, <img src="4-9900128\ce0becdd-140c-43da-8264-8d95f633b218.jpg" />, (2)</p><p>where <img src="4-9900128\f886f2df-6130-4379-a5d8-01bf4a603c8a.jpg" /> denotes the expectation operator given that<img src="4-9900128\27b95cb9-79cd-4abf-a5e8-c569c3b38b7b.jpg" />, and <img src="4-9900128\de216597-1703-480b-b8a9-47a81ea56c6b.jpg" /> is the stopping time at which the investment is exercised once <img src="4-9900128\8465557f-3447-4d93-83dc-37f8ff13539a.jpg" /> arrives at the threshold <img src="4-9900128\34487954-89ae-47fd-a5b4-caa3c20655bd.jpg" /> for<img src="4-9900128\be057fba-0945-4886-add3-963b572dacb9.jpg" />, i.e., <img src="4-9900128\f47f6a05-fb51-4a16-a6fd-6b7fcec6e4d7.jpg" /> Using standard arguments, the project value is rewritten as</p><p><img src="4-9900128\350404e1-9f93-4431-a1ec-61791b5ba3ae.jpg" />,<img src="4-9900128\a9391e4e-9b3b-40e3-abce-7030ad538a6c.jpg" /> (3)</p><p>where<img src="4-9900128\c093f1b5-ecd9-44a3-858f-ce4e6915938d.jpg" />. In this paper, the current state value <img src="4-9900128\92849f2e-57a3-4508-bd1b-ccb91a02e1d1.jpg" /> is sufficiently low that the investment is not undertaken immediately.</p><p>The cash flow, <img src="4-9900128\4f94f588-e759-4b6e-8ac4-3c6e51dfc71e.jpg" />, is assumed to be observed by both the owner and the manager. However, the one-time cost, <img src="4-9900128\fef5b3dd-6cf0-4b25-a865-31ebef1af258.jpg" />, is observed privately only by the manager.<sup>5</sup> Immediately after making a contract with the owner at time zero, the manager observes whether the cost expenditure is of “lower cost” or “higher cost.” On the other hand, the owner cannot observe the true value of<img src="4-9900128\671b1a15-1659-4b4b-80ab-48702329beb5.jpg" />. Therefore, the owner must induce the manager to reveal private information truthfully at the time when the manager undertakes the investment. Otherwise, the owner suffers from further losses. Suppose, for example, the manager observes <img src="4-9900128\78265bc6-2c64-451d-a6bd-5802a5834f02.jpg" /> as the realized value of I. Then the manager diverts the difference <img src="4-9900128\2596f382-e218-4443-b245-8f989e08b607.jpg" /> to himself/herself by reporting <img src="4-9900128\90d54113-29b3-45cf-829a-0da5bd94ce62.jpg" /> to the owner. To prevent the diversion, the owner must encourage the manager to report the true value by providing incentives.</p></sec><sec id="s2_2"><title>2.2. Asymmetric Information Problem</title><p>In this subsection, we formulate the owner’s maximization problem under asymmetric information. As explained earlier, under asymmetric information, the owner must induce the manager to reveal the manager’s private information truthfully.</p><p>In this paper, the owner designs a contract at time zero that commits the owner to give the incentive-disincentive to the manager at the time of investment. Renegotiation is not allowed. While commitment may cause ex post inefficiency in investment timing, it increases the ex ante owner’s option value. To reveal private information, we assume that the owner provides a bonus-incentive <img src="4-9900128\e1e8de1f-a9d0-40e0-a51a-e05e8c17aa9d.jpg" /> and/or audits the manager with a probability <img src="4-9900128\77a1ccde-c98d-48ee-862e-d1369ba8e6e5.jpg" /> at the time of investment.</p><p>The audit technology allows the owner at the cost to verify the state announced by the manager, and to impose a penalty on the manager for cheating when a false report is detected. We assume that a penalty <img src="4-9900128\2a6f660e-78b4-42a7-b322-4ebf6a67326e.jpg" /> is an exogenous constant, and that the cost of auditing <img src="4-9900128\122f002c-65a8-4ebc-8be5-4492b230ed7f.jpg" /> is a function of probability <img src="4-9900128\94cf51af-ed7b-450d-a761-e37b2135424e.jpg" /> with<img src="4-9900128\4d46109f-148c-4ee9-9341-bc5c6c22c78c.jpg" />, <img src="4-9900128\9f10ae62-1d65-422b-aa7c-42f7d7c76a1e.jpg" />,</p><p><img src="4-9900128\bc43faa4-b709-4283-85ee-fbbc4fecff0b.jpg" />, and<img src="4-9900128\be806d75-7c4e-4064-ad8f-b7047c24ad80.jpg" />. These assumptions are intuitively reasonable. The first assumption is that there is no cost incurred if the owner does not use the audit technology. The second and third assumptions imply that <img src="4-9900128\32771145-aa33-4819-8c2d-90a7802405d3.jpg" /> is strictly increasing and convex in<img src="4-9900128\88ab466f-c376-4c74-96ac-e24d7f56105f.jpg" />. The final assumption is that complete auditing incurs a huge cost that the owner cannot pay.</p><p>Thus, the contract in the asymmetric information problem is modelled as a mechanism:<sup>6</sup></p><p><img src="4-9900128\32b614cf-edf3-4439-abfa-db5b7e062ee9.jpg" />,<img src="4-9900128\b438e522-d59c-4ecf-ae01-66461ed9cde3.jpg" />.</p><p>Let superscript “A” refer to the asymmetric information (agency) problem.<sup>7</sup></p><p>Then, the asymmetric information problem is to maximize the owner’s option value through choice of the mechanism<img src="4-9900128\e9bcb476-63c5-44f8-855f-7b6b785c4cb4.jpg" />, i.e.,</p><disp-formula id="scirp.19391-formula104072"><label>(4)</label><graphic position="anchor" xlink:href="4-9900128\e0f0fd2b-d917-4e52-be85-502f3a5de553.jpg"  xlink:type="simple"/></disp-formula><p>subject to</p><disp-formula id="scirp.19391-formula104073"><label>, (5)</label><graphic position="anchor" xlink:href="4-9900128\5376cfa8-234c-43e5-87a9-48db38eed4f4.jpg"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.19391-formula104074"><label>, (6)</label><graphic position="anchor" xlink:href="4-9900128\f2f90fd5-1531-4bce-b660-b64d01f6a722.jpg"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.19391-formula104075"><label>, (7)</label><graphic position="anchor" xlink:href="4-9900128\cb38ff7f-fb31-40ce-bd80-4694528bc41c.jpg"  xlink:type="simple"/></disp-formula><p><img src="4-9900128\1e36947e-ecf8-4795-879b-1826b3838d53.jpg" />, <img src="4-9900128\d8cf8e1e-78f0-4d4a-9a26-34c3f0ea6d86.jpg" />, (8)</p><p><img src="4-9900128\55c85453-a444-4e7b-a0cd-f283ff2493ef.jpg" />,<img src="4-9900128\9b38ef01-6483-4921-88e5-371340bf2fa5.jpg" />. (9)</p><p>Here, the objective function (4) is the ex ante owner’s option value.</p><p>Constraints (5) and (6) are the ex post incentive-compatibility constraints for the manager under states <img src="4-9900128\c1a0d2b6-95e5-4e8e-b07a-fcd4543807e8.jpg" /> and<img src="4-9900128\f393c795-d04a-4f63-983c-2da82d8783b7.jpg" />, respectively. Consider, for example, constraint (5). The manager’s payoff in state <img src="4-9900128\5409ef63-19fe-46c4-9a55-7b51bf56a497.jpg" /> is <img src="4-9900128\c06c579c-8744-4e5e-9abc-bf3baaff7a57.jpg" /> if he/she tells the truth, but it is <img src="4-9900128\b4c00e48-a2c4-4aaa-879d-990cca1870f3.jpg" /> if he/she instead claims that it is state<img src="4-9900128\900e1c1e-4133-486c-8f25-88bd36cd1fc5.jpg" />. Thus, he/she tells the truth if (5) is satisfied. Constraint (6) follows similarly. Constraint (6) will be shown not to be binding. Thus, only constraint (5) is relevant to our discussion.</p><p>Constraints (7) and (8) are the ex ante participation constraint and the ex post limited-liability constraints, respectively. Constraints (8) ensure that the manager makes an agreement about employment. For example, if <img src="4-9900128\90b8c30e-7e1b-454e-a0bd-528a5b99eeed.jpg" />, then the manager would refuse the contract on learning that<img src="4-9900128\10a849c2-fb16-4ab9-b43d-c521cec04628.jpg" />. In addition, it is straightforward to show that constraint (8) implies constraint (7). Thus, only constraint <img src="4-9900128\a38d132c-5239-42f4-a0f7-936f7654ea5d.jpg" /> will be relevant to our discussion.</p><p>Constraint (9) is obvious, where <img src="4-9900128\a7b73375-db8c-4086-9941-2031c9cb6372.jpg" /> is the probability of an audit.</p><p>Before analysing the asymmetric information problem, we first review briefly the symmetric information problem.</p></sec><sec id="s2_3"><title>2.3. Symmetric Information Problem (Standard Real Options Model)</title><p>In this subsection, we consider the optimization problem when the owner observes the true value of<img src="4-9900128\3ba85d9c-f9d3-4eeb-adc7-6063d3fee035.jpg" />. This problem is equivalent to the problem in which there is no delegation of the investment decision because the manager has no informational advantage. Then we have <img src="4-9900128\758b3c03-756f-4aa7-8e29-17aede95e0eb.jpg" /> and <img src="4-9900128\cc3cf10e-8120-465e-8482-c4af39813a43.jpg" /> for all <img src="4-9900128\ebab636e-dab6-4dad-86a1-77751934408d.jpg" /> (<img src="4-9900128\cdd60fa4-08a0-4a22-a8bb-0068109dd4d2.jpg" />). Thus, the contract <img src="4-9900128\a2cac87a-ef7c-4ed8-9dd7-e48e0a2662e2.jpg" /> in the symmetric information problem is modelled as</p><p><img src="4-9900128\955b17d6-fc82-4e4d-9209-e0cc83e59858.jpg" />,<img src="4-9900128\1c2ba0d3-d0b9-4a20-bf8b-92b32f110bf6.jpg" />.</p><p>Let superscript “asterisk” refer to the symmetric information (no-agency) problem.</p><p>In the symmetric information case, the owner’s maximization problem is defined as</p><disp-formula id="scirp.19391-formula104076"><label>(10)</label><graphic position="anchor" xlink:href="4-9900128\c2f34ed1-d945-44d0-9fd8-0c6e173439e3.jpg"  xlink:type="simple"/></disp-formula><p>where <img src="4-9900128\0e14c1de-136f-457b-9d7d-b27cb1df2a12.jpg" /> (<img src="4-9900128\c858187d-03c7-4c3e-9804-2f718f39e48a.jpg" />). The solutions are</p><disp-formula id="scirp.19391-formula104077"><label>. (11)</label><graphic position="anchor" xlink:href="4-9900128\1679b598-1639-42a3-bbd1-53150b0fce7d.jpg"  xlink:type="simple"/></disp-formula><p>By substituting these solutions, we have</p><disp-formula id="scirp.19391-formula104078"><label>(12)</label><graphic position="anchor" xlink:href="4-9900128\b96de760-c418-4304-afc1-5e5489104397.jpg"  xlink:type="simple"/></disp-formula><p>We employ these results as a benchmark which is the same as those in the standard (MS) model.</p></sec></sec><sec id="s3"><title>3. Solution</title><p>In this section, we provide the solution to the asymmetric information problem that was described in the previous section. We then discuss some properties of the solution.</p><sec id="s3_1"><title>3.1. A Simplified Asymmetric Information  Problem</title><p>Although the optimization problem is subject to seven inequality constraints, we can simplify the problem in the following three steps. In this subsection, we simplify the asymmetric information problem.</p><p>First, (7) is automatically satisfied, because (8) implies (7). Second, a manager in state <img src="4-9900128\895a067c-1b2e-4ffa-a9ce-acdeee9e2d72.jpg" /> does not have the incentive to tell a lie as a manager in state<img src="4-9900128\26260239-7c05-47ab-96fc-45c1f205e250.jpg" />, because the manager in state <img src="4-9900128\b562f08a-88fe-4e8a-88a0-e1d82ae605a5.jpg" /> suffers a loss from such a false announcement. Thus, (6) is satisfied automatically, and <img src="4-9900128\bd1b2e6e-116b-41d0-a58f-4cffa7664ac7.jpg" /> and <img src="4-9900128\bdc36225-cf4b-4ba8-866c-f968cb1c653c.jpg" /> are obtained at the optimum. Finally, <img src="4-9900128\d4ee7f2f-8ed7-4a19-a262-b32ea427364b.jpg" />in (9) is satisfied automatically. This statement is shown by <img src="4-9900128\61762a93-1b2e-4baf-8d8b-8536dea0c889.jpg" /> and <img src="4-9900128\b5792cca-c282-44d2-bf1e-f0d5e502d163.jpg" /> for any<img src="4-9900128\d98c779b-cf22-4456-bdc7-43eaad5afec5.jpg" />.</p><p>As a result, the simplified optimization problem is given as</p><disp-formula id="scirp.19391-formula104079"><label>(13)</label><graphic position="anchor" xlink:href="4-9900128\5ccdd814-f474-4937-a184-7ab7adf76570.jpg"  xlink:type="simple"/></disp-formula><p>subject to</p><p><img src="4-9900128\ee54c064-fc38-44d1-928b-68fd807d296a.jpg" />, <img src="4-9900128\2a019c00-7ccd-47f8-8e77-c4a33871c16e.jpg" />, <img src="4-9900128\17e8514a-2d4d-41d6-b6d0-787cdfb3445c.jpg" />, (14)</p><p>where <img src="4-9900128\e6433662-416b-4dd4-b5c2-b5da4cd10a1d.jpg" /> for all <img src="4-9900128\19e73b5d-e982-41d6-95f8-977e96b4d634.jpg" /> (<img src="4-9900128\8aafe5a4-b53c-444c-a292-73d1bd14d98e.jpg" />).</p></sec><sec id="s3_2"><title>3.2. Optimal Contracts</title><p>We first define the three feasible regions that serve to determine the characteristics of the solution. The nature of the solution depends on the magnitude of the penalty<img src="4-9900128\0cef5b06-2e46-44f7-9b8a-3d7909df4e7b.jpg" />. The contract can be derived in three possible regions: the incentive-only (bonus-incentive only, Ab) region, the incentive-disincentive (combination, Ac) region, and the disincentive-only (audit-penalty only, Aa) region. Let superscripts “Ab”, “Ac”, and “Aa” refer to the optimums for the three feasible regions, respectively.</p><p>As shown in Appendix A, we can obtain the following results.</p><p>Proposition 1 Suppose that the penalty is finite. In the asymmetric information problem, the optimal contract <img src="4-9900128\e53a1aa3-0f72-413d-8c4a-5f0c27594e7e.jpg" /> is as follows:</p><p>Incentive-only (bonus-only, Ab) region: <img src="4-9900128\06e9ff19-e37b-4193-b571-9fee87fce750.jpg" /></p><p><img src="4-9900128\4535e2b6-1cf5-4124-a05f-56a19a489b2f.jpg" />, <img src="4-9900128\fead8eb1-eafc-41b0-90bf-d1f0afce6502.jpg" />where <img src="4-9900128\0d83c4d7-a469-48a0-89dd-b657f1263729.jpg" /> and <img src="4-9900128\fef758d8-d2bb-4448-8cc9-8eb3db0e4376.jpg" /> are the investment trigger for <img src="4-9900128\4334a4c9-dab3-4591-9ab9-a35dc4d58c3e.jpg" /> and the bonus for <img src="4-9900128\55a06e76-17e4-47cc-b935-487be67bf88d.jpg" /> in GW model as shown in Appendix B.</p><p>Incentive-disincentive (combination, Ac) region: <img src="4-9900128\72cc312e-0edc-41bc-9c7e-2b02ef5d7a01.jpg" /></p><p><img src="4-9900128\f669bc62-1038-41a2-8c1b-573fdb8d7957.jpg" />, <img src="4-9900128\cfb3c900-0f76-4869-87b2-6ff5b555067c.jpg" />where</p><p><img src="4-9900128\35419e2c-3ed6-495a-af9b-d9c86efcf12f.jpg" />.</p><p>Disincentive-only (audit-only, Aa) region: <img src="4-9900128\b737e9a5-966c-4e36-a2e2-0a285cf4ae89.jpg" /></p><p><img src="4-9900128\f7ab850a-d411-4409-acdc-2257733acef7.jpg" />,<img src="4-9900128\679f8a2e-bbec-4864-8887-dbd203c04560.jpg" />.</p><p>Here, in Region Ac, <img src="4-9900128\88878b98-b1e8-49fa-990f-34497cd6f2e1.jpg" />is decided by<img src="4-9900128\1893f463-51ff-482e-8b3b-846854d4fb08.jpg" />, and <img src="4-9900128\ea3913d5-5ac9-4954-af3d-d2b9d83ec949.jpg" /> is decided by<img src="4-9900128\febea34e-b893-4c56-b57f-e4ac9063efe2.jpg" />. Similarly, in Region Aa, <img src="4-9900128\5ae6a05c-efda-42a8-a173-a5b907f504c6.jpg" />is decided by<img src="4-9900128\7d2a29b3-e816-4a93-9b15-bc79daa546e9.jpg" />.</p><p>Note that, if the penalty is finite, the contracts under asymmetric information are significantly different from those under symmetric information. We then discuss the properties of the solution to the asymmetric information problem. Then, we have the following results (see Appendix A for the proof).</p><p>Corollary 1 Suppose that the penalty is finite. The optimal contract has the following properties:</p><p><img src="4-9900128\4334886f-de2f-4bce-af53-01ad8a3c7745.jpg" /></p><p>for any <img src="4-9900128\464270f1-1d64-44c1-918b-c4a45ab8d3dc.jpg" /> (<img src="4-9900128\196ac5bf-3400-48a4-8bb3-461fff3f458a.jpg" />). In particular, we have</p><p><img src="4-9900128\07c587e1-08db-4766-954a-87f8d06f35b4.jpg" />,<img src="4-9900128\22ad3fb1-972a-4829-b537-3cc9d1abf7a3.jpg" />.</p><p>Corollary 1 implies that there are five important properties. The first property of the solution is that <img src="4-9900128\2fa541f8-87c6-4319-858c-3bc399079521.jpg" /> and <img src="4-9900128\386327b6-5df2-42b6-b02e-ae58d1176bc1.jpg" /> for any<img src="4-9900128\bb6b8bbf-cee3-46c4-be37-966317da32b3.jpg" />. It is less costly for the owner to distort <img src="4-9900128\3023816b-f66a-4755-a3af-b21e4381080f.jpg" /> away from <img src="4-9900128\7cd65846-fe19-46a6-897c-df1f76c6caf6.jpg" /> than to distort <img src="4-9900128\240fe685-9826-4f54-b044-49c402d90bc5.jpg" /> away from <img src="4-9900128\66c4827d-862d-41fd-95eb-36a0641e8507.jpg" /> in equilibrium.</p><p>The second property of the solution is that <img src="4-9900128\3fc8447d-c730-49e3-80bc-d3a3b9024c03.jpg" /> and <img src="4-9900128\148c58a4-34bf-4942-85cd-9b76d7ff69b3.jpg" /> if<img src="4-9900128\70019550-a138-4efd-9b66-9351619adf78.jpg" />, and that <img src="4-9900128\a14e8b57-e680-41ed-9e39-7460cab84a32.jpg" /> and <img src="4-9900128\5b2c45ac-e5b2-4cea-bca7-4fc35aa1d0b2.jpg" /> otherwise. In other words, a decrease in <img src="4-9900128\c9fcdf31-dba3-4659-9364-93a7ff663aa0.jpg" /> is equivalent to the associated decrease in<img src="4-9900128\527f06f0-18d6-4418-88a8-9a9c938c68e8.jpg" />.</p><p>The third property of the solution is that <img src="4-9900128\a6ec96d1-7104-4575-8091-0174dabd9a91.jpg" /> where <img src="4-9900128\adb62e8d-c658-47a1-baaf-af0678f47200.jpg" /> can be regarded as the information rent for the manager in state<img src="4-9900128\e81fa6d4-676f-4175-90f1-4eec5a603bc9.jpg" />. The owner gives the manager in state <img src="4-9900128\1952909b-8c55-4aaa-84e6-8a783939c07a.jpg" /> a portion of the information rent. Importantly, note that the information rent is decreasing with<img src="4-9900128\bb35bdf0-9999-452d-8326-ea70224b59a7.jpg" />.</p><p>The fourth property of the solution is that <img src="4-9900128\bb3f5ae5-b6a9-4cac-9daa-3c0f01ce4ee9.jpg" /> is unimodal with<img src="4-9900128\a7e26d48-5cf5-44e9-b485-b78c58e85c61.jpg" />. The reason is that <img src="4-9900128\aaafe0e2-4159-45f4-99c6-18bb4007134c.jpg" /> is in-creasing and concave with<img src="4-9900128\07e22acf-ebb7-4298-ae1a-51f88fe7066e.jpg" />, while <img src="4-9900128\17c3f03b-79e9-40dd-8bb6-7453c52c0f93.jpg" /> is de-creasing and convex with<img src="4-9900128\8caaa6d2-7b2c-4373-96cc-b732a7c8fbaf.jpg" />. The first statement is straightforward because <img src="4-9900128\14e98ee3-1dc2-44b5-bef6-b7f85ce87fcb.jpg" /> is increasing and convex with<img src="4-9900128\617f4f33-a587-4de8-8ac9-8b42d7de817c.jpg" />. The second statement is shown by <img src="4-9900128\9287d9c4-797a-4bc2-aa8e-5fe971fcdb5b.jpg" /> at the optimum.</p><p>The final property of the solution is that an increase in the penalty <img src="4-9900128\32d7e657-02d3-4b78-b3e2-82737d029300.jpg" /> moves the contract <img src="4-9900128\166e9294-8175-4447-86f1-599b21d2c323.jpg" /> from the incentive-only (Ab) region to the disincentive-only (Aa) region via the combination (Ac) region. This property is intuitive as follows. For example, the larger the penalty <img src="4-9900128\bcf82ceb-c408-41ed-bb49-b7d9d448cfce.jpg" /> is, the more available the disincentive mechanism. Then, an increase in the penalty encourages the owner to use the disincentive mechanism rather than the incentive mechanism.</p><p>So far we have only considered the finite penalty. Now we examine the case of the unlimited penalty. Although the unlimited penalty is unrealistic, we are interested in considering how the contract changes as the penalty increases.</p><p>Recall that, under asymmetric information, there exists a distortion in three (<img src="4-9900128\fa16d9f0-905c-4adf-b10f-4151b8233adb.jpg" />, <img src="4-9900128\59a76c93-667b-4fe9-b44d-ba8941dffcc8.jpg" />,<img src="4-9900128\eb0810e6-88ec-4ff4-b477-bc70c41a7adf.jpg" />) of the six components of the contract, and that we have</p><p><img src="4-9900128\b5af555e-0b7b-45e3-8b3f-9ab129f338ee.jpg" />, <img src="4-9900128\21ac3793-49c4-4a1d-ba57-1ffa9615912f.jpg" />, <img src="4-9900128\37a90544-8f7b-4ede-82fe-bdc9abea3920.jpg" />for<img src="4-9900128\20193383-22aa-4a59-aebd-c9cb64a5d8d2.jpg" />. It is straightforward to show that <img src="4-9900128\4ed1ced0-1e96-4817-a489-911457066a23.jpg" /> as<img src="4-9900128\79b29800-a052-492f-9b79-2538721c2215.jpg" />. Thus, these results are summarized as follows.</p><p>Corollary 2 The contracts under symmetric information are approximated closely as the penalty is increased without limit. As<img src="4-9900128\ab0088dc-45e0-4da1-a674-e9a7f8945a99.jpg" />, we have</p><p><img src="4-9900128\95aa0dd0-a6da-4622-93f4-674335e397a2.jpg" />, <img src="4-9900128\6f3ec9de-27b1-4089-b55c-74f3e0c8a716.jpg" />,<img src="4-9900128\f23e753c-eab0-4487-a275-45db9dabcc86.jpg" />.</p><p>Recall that the solution in the symmetric information problem is the same as in the standard real options model. Thus, in contrast with previous papers under asymmetric information, we show that there is a relationship between the symmetric and asymmetric information problems. From Proposition 1 and Corollary 2, we have the following results.</p><p>Remark 1 The solution in the incentive-only (Ab) region is exactly the same as in the GW model. The solution for <img src="4-9900128\cd2eef8b-3bf9-4b6c-b68f-9ed22a8fea2e.jpg" /> in the combination (Ac) region turns out to be that in the S model. As the penalty <img src="4-9900128\c286697c-1f61-4cad-88f5-09c815ca258b.jpg" /> becomes sufficiently large, the solution in the disincentive-only region in the asymmetric information model converges to in the symmetric information model developed by MS.</p><p>The first statement is obvious in Proposition 1. As for the second statement, <img src="4-9900128\46cdbdef-4987-4c77-9a63-15c120c1f4bc.jpg" />is endogenously decided in the S model as shown in Appendix B. Thus, we have the second statement from Proposition 1. The third statement is given by Corollary 2. As a result, Remarks 1 implies that the solutions in our model include those in the three related papers.</p></sec><sec id="s3_3"><title>3.3. Optimal Values</title><p>For all three feasible regions, substituting the solutions into the owner’s and manager’s option values, <img src="4-9900128\0d4b0dee-d1c2-4f32-859f-0558758710e7.jpg" />and<img src="4-9900128\0d91b97e-7796-4ec9-bbd2-b196c4977315.jpg" />, respectively, yields</p><disp-formula id="scirp.19391-formula104080"><label>(15)</label><graphic position="anchor" xlink:href="4-9900128\653d8cc7-7589-437d-9ee2-d3e75e91d744.jpg"  xlink:type="simple"/></disp-formula><p>where</p><p><img src="4-9900128\fce7409c-76a1-46fa-b276-edd1e51d60ed.jpg" /></p><p>and</p><disp-formula id="scirp.19391-formula104081"><label>(16)</label><graphic position="anchor" xlink:href="4-9900128\e06fb46b-450b-4ae6-85fb-7b18f3f54c1c.jpg"  xlink:type="simple"/></disp-formula><p>Because<img src="4-9900128\89e245c7-7f29-435e-9563-8bc0b1213bd7.jpg" />, the total value <img src="4-9900128\c57b89e4-c2d3-4d78-9e6c-60fad0243f22.jpg" /> is</p><disp-formula id="scirp.19391-formula104082"><label>(17)</label><graphic position="anchor" xlink:href="4-9900128\f43e04dd-5195-42e3-bf48-343d70399b84.jpg"  xlink:type="simple"/></disp-formula><p>for any <img src="4-9900128\6dee2e2f-320c-4035-bbd5-1e342a163aff.jpg" /> <img src="4-9900128\841a9cce-fd2a-42b4-aecb-36d14735bcb5.jpg" />. Obviously, inefficiency is caused by the second term in state<img src="4-9900128\c395e744-273e-4ba1-8918-7f3248fe97df.jpg" />.</p><p>Let us define<img src="4-9900128\39fc3944-eec0-4023-a486-76a19cd1a68e.jpg" />, <img src="4-9900128\def30bed-4c03-4acc-b98c-294b2c48c02a.jpg" />, and <img src="4-9900128\ac0d9608-7d76-4fd2-9015-f53a25228b66.jpg" /> as the owner’s, manager’s, and total values in the GW model, as shown in Appendix B. Then, we obtain the following results.</p><p>Corollary 3 Suppose that the penalty is finite. Then we have</p><p><img src="4-9900128\65894d72-af59-47ae-a80f-678a67a3c054.jpg" />,<img src="4-9900128\9ede6fff-3b5d-4000-a479-d0acd00ec35f.jpg" />.</p><p>In particular, the optimal value has the following properties:</p><p><img src="4-9900128\059a7085-afda-498c-be0a-d29a7d9a77f3.jpg" />,<img src="4-9900128\faa93ffb-2bfc-49e0-bfd8-ee1a7195d90c.jpg" />.</p><p>Moreover, we obtain</p><p><img src="4-9900128\247713fc-da1a-4444-9a2e-33ee512969d6.jpg" />,<img src="4-9900128\d87be015-4528-4d51-baee-a569744a6d54.jpg" />.</p><p>Corollary 3 implies that there are three important properties. The first is that <img src="4-9900128\48780687-b038-4a00-9659-1d12e58ff817.jpg" /> is monotonically increasing in<img src="4-9900128\5624456c-9cb3-45e5-bc65-bb85ad3fc005.jpg" />, while <img src="4-9900128\d55d1b02-88c6-4d79-a96b-7e013c542778.jpg" /> is monotonically decreasing in<img src="4-9900128\77c4f941-d6c1-4494-985d-e830e867a330.jpg" />. The second is that asymmetric information always leads to a decrease in total value for any finite penalty<img src="4-9900128\9c4e0428-d363-44eb-b4ef-f7d484090cca.jpg" />. The third is that we do not always have <img src="4-9900128\65d198d7-b98a-495a-aefa-3937d6061a5a.jpg" /> although we always have <img src="4-9900128\ab077fcc-cda3-4080-9efd-3788f69fb898.jpg" />. In summary, because the set of the incentive-disincentive contracts is enlarged by that of the incentive-only contracts in the GW model, the owner’s (manager’s) value is always larger (smaller) than in the GW model. However, the sum of these values is not always larger than in the GW model. Thus, depending on the parameters, we have<img src="4-9900128\b0be18e1-06fc-4cf0-bbb2-2a796f2531bb.jpg" />. These imply that the owner’s rationality does not correspond to the total rationality. We will discuss this result in the next section by using numerical calculations.</p><p>In order to measure the “inefficiency” arising from asymmetric information, we define total social loss <img src="4-9900128\b0b791c5-69e9-43a2-b43b-46533c8defbf.jpg" /> as</p><p><img src="4-9900128\1d491027-386f-4e71-aee6-79ddc7c4ae24.jpg" />.</p><p>Here, <img src="4-9900128\06dbf21f-4d52-4996-9229-e8ac9563440f.jpg" />is strictly positive for any finite penalty P. This definition is exactly the same as in Subsection 4.3 of the GW model. We define the total social loss in the GW model as<img src="4-9900128\7a22a6c0-4cd6-4be0-8ead-1046404cd725.jpg" />. Obviously from the definition, the properties of total value <img src="4-9900128\78d96097-3c6e-45b4-9f6e-bd74f823677f.jpg" /> are equivalent to that of total social loss<img src="4-9900128\d7fc8142-9c0b-480e-8991-8944d9291169.jpg" />.<sup>8</sup></p><p>As the same as in the contracts, if the penalty <img src="4-9900128\55c6f241-0c91-4cce-971a-8f19e81c0ce7.jpg" /> is sufficiently large, the following results are obtained.</p><p>Corollary 4 The values under symmetric information are approximated closely as the penalty is increased without limit. As<img src="4-9900128\ce81d589-5399-406a-8327-caa13be4e428.jpg" />, we have</p><p><img src="4-9900128\428c2ab3-bef6-4b19-b895-c2115f11b4c7.jpg" />, <img src="4-9900128\a8965101-9fc0-4538-ae32-bfac9a363df0.jpg" />, <img src="4-9900128\3b303db1-7a0b-478e-bfd7-ed88f872d1fe.jpg" />and</p><p><img src="4-9900128\3702c796-c5dd-40d3-96d4-81b5b0a8cb66.jpg" />.</p><p>The owner’s and manager’s values are monotonic with the penalty<img src="4-9900128\13346c28-8bb8-435d-87da-c0be7793bb5a.jpg" />. In particular, the owner’s value is increasing monotonically in<img src="4-9900128\645690fb-e071-4d07-b953-f62a4f49ecf3.jpg" />. However, the total value (i.e., total social loss) is non-monotonic with<img src="4-9900128\6d5e3c06-5cb2-47f1-a14c-328be91325fc.jpg" />.</p></sec></sec><sec id="s4"><title>4. Numerical Implications</title><p>This section analyses several of the more important implications of the model by using the numerical examples. Subsection 4.1 investigates the effects of the exogenous maximum penalty on the solutions and values. Subsection 4.2 examines the distortion in asymmetric information, by using the total social loss. Subsection 4.3 examines the stock price reaction to the information released via the manager’s investment decision.</p><p>In the numerical examples, we define the auditing cost function <img src="4-9900128\9240e364-9c06-49ec-8b61-815993855bf7.jpg" /> as</p><p><img src="4-9900128\85fa347b-02e0-4082-beda-b1aae3a39a4e.jpg" />,<img src="4-9900128\f82e8662-ee53-4665-adc3-51e7d1973f9f.jpg" /> (18)</p><p>Here, the parameter <img src="4-9900128\16b69477-0508-45a9-910c-0dab315cbe54.jpg" /> is interpreted as a measure of “efficiency” for the auditing cost function. Assume that the basic parameters are<img src="4-9900128\a000df8a-95b3-4911-8f74-418bdec8e808.jpg" />, <img src="4-9900128\8f32038d-961c-4ec1-a56c-5acd5aaf5394.jpg" />, <img src="4-9900128\1fe3c6dc-d706-4d2f-a2b1-e215c24a301c.jpg" />, <img src="4-9900128\d18e0966-192e-4541-8d5a-b78555463fb5.jpg" />, <img src="4-9900128\0d72d350-9b71-4347-b8b0-bf0afae96d5e.jpg" />, <img src="4-9900128\75b96332-6d07-4b6f-91f6-036a3b558b4a.jpg" />, <img src="4-9900128\7f8ed9e5-4666-4c4f-962a-95fef728d676.jpg" />and<img src="4-9900128\6a4f3c48-96f9-4a3f-8693-83df4639b9e7.jpg" />.</p><sec id="s4_1"><title>4.1. Effects of the Penalties</title><p>This subsection considers the effects of the penalties shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>.</p><p>Under<img src="4-9900128\0cfbc9b9-0aac-4509-9c33-9a07aa75a988.jpg" />, the incentive-only (Ab) region is <img src="4-9900128\2cbaff7b-99a7-4e79-bbd5-80e72c640e32.jpg" />, the combination (Ac) region is <img src="4-9900128\90402767-fcc8-4a31-ac77-7ec1204e799c.jpg" />, and the disincentive-only (Aa) region is<img src="4-9900128\f52f412c-132f-44ba-875f-35427f16ee8b.jpg" />. First of all, recall that the contracts in the GW model are the incentive-only contracts. The contracts in the incentive-only (Ab) region are the same as those in the GW model because <img src="4-9900128\cde30666-a3ca-445d-aca2-d1a07fc04aa6.jpg" /> for <img src="4-9900128\47da5a5b-2418-445d-b4ca-8f7352c80722.jpg" /> (<img src="4-9900128\5849ec59-d0ce-4d2a-91d0-b7e1f278a6a9.jpg" />). Next, note that the penalty is equal endogenously to the managers’ diverted cash flow, i.e., <img src="4-9900128\2d8c11fd-a72d-4ee4-a358-54f9b0064766.jpg" />. The contract for <img src="4-9900128\ce96f344-baaa-4fec-8fbb-a7df88b66053.jpg" /> in the combination region turns out to be the same as that in the S model. Finally, as<img src="4-9900128\c925c6cf-3adc-449f-b861-31892f93cb93.jpg" />, the contracts in the disincentiveonly (Aa) region converge to the symmetric information contracts in the MS model.</p><p>The upper left-hand side panel of <xref ref-type="fig" rid="fig1">Figure 1</xref> depicts the investment trigger <img src="4-9900128\21ca433b-068b-441d-b914-ae6f816f37ca.jpg" /> with respect to the penalty <img src="4-9900128\9d5dcc2a-e572-4366-837f-bb6dac206370.jpg" /> (<img src="4-9900128\6701cae4-9472-4715-a691-3f251501cc92.jpg" />). We see that <img src="4-9900128\af79cb49-ba91-4d2c-bedb-e04aaa85cb02.jpg" /> is decreasing mo-</p><p>notonically in <img src="4-9900128\c0f22a1c-303c-4fe1-a953-2523b394bcbc.jpg" /> with<img src="4-9900128\12682654-f3bf-4b13-83b0-342d2345853d.jpg" />.</p><p>The upper right-hand side panel demonstrates the bonus incentive and the probability of auditing, <img src="4-9900128\a332ecc2-80b3-473b-9c99-f5842080ddc7.jpg" />and<img src="4-9900128\3a0e9796-8088-4137-bd0a-8e3b748eba87.jpg" />, with respect to<img src="4-9900128\89971794-f96a-493c-8ad6-ed1d2bdd57f3.jpg" />. On the one hand, <img src="4-9900128\1e144e25-359a-47df-a9cc-4f0c320ce337.jpg" />is decreasing with <img src="4-9900128\1651a8a5-9e10-46f0-8933-7f7017a57f6c.jpg" /> although <img src="4-9900128\1591dba5-1826-42bc-bb23-2f14c13564c6.jpg" /> is constant with<img src="4-9900128\8b797705-47cb-416b-9175-bcb4b33ff1fb.jpg" />. On the other hand, <img src="4-9900128\0e0251cf-19d5-4f0d-b7f2-f4629f758c81.jpg" />is unimodal with<img src="4-9900128\04cfdc39-2ecc-4e7a-ab35-41be68a2437d.jpg" />. In particular, as explained earlier, <img src="4-9900128\0ad17052-0f74-44fa-bbe7-d9c418b8d9ae.jpg" />is increasing and concave with<img src="4-9900128\8e9b4a66-6dfd-48e1-a3e1-e738257e9f79.jpg" />, while <img src="4-9900128\a6cbac4f-d422-4c02-9daa-d5a17b568898.jpg" /> is decreasing and convex with<img src="4-9900128\82768126-803d-483c-bde3-9e80380edfc3.jpg" />.</p><p>The lower right-hand side panel depicts the owner’s option values <img src="4-9900128\317c091b-46a6-4d59-83a0-705d1202b98e.jpg" /> and <img src="4-9900128\3ab5aa42-479b-44e1-b077-5ed5113599f3.jpg" /> with respect to<img src="4-9900128\de2e8c76-b7e9-49de-87cb-878be520adc7.jpg" />. The important result is that <img src="4-9900128\33e96e5d-aa2b-4593-bc3e-648c745be176.jpg" /> is in between two values, <img src="4-9900128\f4e1edce-33ee-4489-abe9-3400b27a879a.jpg" />and<img src="4-9900128\f7635e1d-4f60-4bfc-ba4f-2344559a5443.jpg" />. In addition, <img src="4-9900128\774e9270-83f9-4355-aeca-192ea03e13b0.jpg" />is increasing monotonically with<img src="4-9900128\68f691ad-adf4-4eb3-a1b7-41ed9e35c29e.jpg" />. This property corresponds to the “maximal penalty principle” in the microeconomics literature.<sup>9</sup></p><p>The lower right-hand side panel demonstrates the manager’s option values <img src="4-9900128\7f072a0a-55d9-4970-b334-4f2a4392f768.jpg" /> and <img src="4-9900128\3ca83dbe-3ece-4f7c-ba00-7c134d4b68d5.jpg" /> with respect to<img src="4-9900128\13e37ac1-4fff-4276-8e2b-bc58964e9fe8.jpg" />. Recall that the manager’s value is zero under symmetric information while it is strictly positive constant under the GW model. The value <img src="4-9900128\3e684eee-179d-41cc-84db-acae7383f89e.jpg" /> is decreasing monotonically with<img src="4-9900128\be4b3a67-789c-4ec2-ad34-4009a95889e7.jpg" />. The reason is that an increase in <img src="4-9900128\e033a74d-a657-4dae-9b3b-4aa7f7bad664.jpg" /> decreases the information rent for the manager in state<img src="4-9900128\a649f555-99cf-450b-bdf6-57b29ee314c5.jpg" />, which leads to the decrease in the bo-nus-incentive.</p><p>The upper right-hand and lower left-hand side panels imply that an increase in P leads to “asset substitution” between the owner and the manager. Wealth is transferred from the manager to the owner by an increase in P.</p></sec><sec id="s4_2"><title>4.2. Distortion in Asymmetric Information</title><p>This subsection examines the distortion in the social welfare arising from the asymmetric information.</p><p><xref ref-type="fig" rid="fig2">Figure 2</xref> depicts the total social losses <img src="4-9900128\738a5342-fbf7-4ab6-bab6-5c70264a54de.jpg" /> and <img src="4-9900128\7cfa67ac-bc1e-4178-bda5-8685dd573d1b.jpg" /> with respect to<img src="4-9900128\3c1675a5-1068-4c45-859f-19953eedfb53.jpg" />. The most interesting result is that <img src="4-9900128\e71325a7-654c-463e-8846-67c05104c8a6.jpg" /> is not decreasing monotonically with <img src="4-9900128\2daae1e4-8585-4645-8492-051d1fba8da1.jpg" /> although <img src="4-9900128\a7136dcf-95fe-479b-b9bc-d62cb0fac001.jpg" /> is constant with P. Here, <img src="4-9900128\955d0954-5c56-4e58-8054-a15bada46826.jpg" />is constant with <img src="4-9900128\a0b9aa8f-485c-4e1b-8e8d-e0cfe7b419a0.jpg" /> because it is exactly the same as<img src="4-9900128\b67fcde0-810d-4f8c-b392-991a387a3ecd.jpg" />, while <img src="4-9900128\58fc93c9-7a10-426c-aff4-eddee4d3d001.jpg" /> is always decreasing with<img src="4-9900128\90ccbe8e-b8ef-494f-95e7-f6d0cdadc7b9.jpg" />. On the other hand, <img src="4-9900128\8cf516e5-bc9b-48f8-9186-abcc76cec4e9.jpg" />is increasing or decreasing with<img src="4-9900128\0002baa9-2a2f-4f29-bbf3-9c035c42e9c8.jpg" />. Thus, an increase in <img src="4-9900128\cb3c56a0-b7c9-48ea-b6c2-9a9126d1787f.jpg" /> does not necessarily lead to a decrease in <img src="4-9900128\8c0f7a07-b2e8-48ec-8493-410974733a41.jpg" /> although it always increases the owner’s option value. Consequently, an owner’s (individual) rationality does not necessarily lead to total social rationality.</p><p>In addition, we consider the comparative statics with respect to <img src="4-9900128\12081150-d90a-4c2a-978e-63146c24eb39.jpg" /> (<img src="4-9900128\0e024aa1-bc40-44fb-8065-67ea8784d1aa.jpg" />). Under<img src="4-9900128\f25e0560-a8e5-4a63-989a-291c1fb98058.jpg" />, Region Ab is<img src="4-9900128\2fa27507-35eb-4727-8884-d5bc1cebd4d8.jpg" />, Region Ac is<img src="4-9900128\90e36bde-dd67-453e-b747-e8e4cd0b0a71.jpg" />, and Region Aa is<img src="4-9900128\b8ee5dc4-476b-480a-99e5-fc7a9c9fbe5f.jpg" />. Under<img src="4-9900128\6db3bf0a-abb6-40c4-992c-4edc734cb964.jpg" />, Region Ab is<img src="4-9900128\1ede690e-e455-452b-93e6-d7f85c225f89.jpg" />, Region Ac is<img src="4-9900128\b07f70b5-f816-4a4c-9d0f-66a6d4cf444b.jpg" />, and Region Aa is<img src="4-9900128\20ea0590-9571-4b90-a051-0200889385cb.jpg" />. An decrease in the parameter <img src="4-9900128\f81434af-6974-4aee-a2ef-580e085aa25a.jpg" /> does not necessarily decrease<img src="4-9900128\a66e85c5-196e-4b20-bfe3-861573951a1e.jpg" />. Consider, for example,<img src="4-9900128\baa59917-f6b6-455b-9d8f-43697ec96c36.jpg" />. Then, <img src="4-9900128\c403b607-ae18-4639-a1f9-10c97b7a2478.jpg" />under <img src="4-9900128\99a4527a-4e83-445c-8271-78ad316c63e7.jpg" /> is smaller than under<img src="4-9900128\ae99812a-c448-4fbd-851d-9e28f1481a96.jpg" />. Thus, a reduction in the inefficiency of the auditing cost always benefits the owner, while it does not necessarily increase total social welfare.</p></sec><sec id="s4_3"><title>4.3. Stock Price Reaction to Investment</title><p>This subsection investigates the stock price reaction to the manager’s investment decision. The stock price is the owner’s option value that is given in (15).</p><p>Prior to the point at which <img src="4-9900128\818ee4e1-7c71-42c4-a993-3ba93e9b34ff.jpg" /> reaches the trigger<img src="4-9900128\822ae736-d389-4869-86c7-927ce5bf4097.jpg" />, the market does not know the true value of<img src="4-9900128\e71db96c-2637-4f07-82d1-a685744b8b3b.jpg" />. The market believes that <img src="4-9900128\f9c626ec-8295-4796-aee2-11f99bbd1bb1.jpg" /> with probability <img src="4-9900128\c848cbdf-42e0-4383-a582-412547786125.jpg" /> and <img src="4-9900128\21e3faa5-5c30-4f0b-bd88-e7ebbfb058a9.jpg" /> with probability<img src="4-9900128\079de9ea-c28a-46cd-9171-1f47bc1dee16.jpg" />.</p><p>Once x hits the trigger<img src="4-9900128\f1e9128a-01b8-47c8-a069-84c9d6125f19.jpg" />, the private information is fully revealed. The manager’s investment decision signals <img src="4-9900128\e5dd4a2b-d716-4b5b-8dd7-69bbf1f327d0.jpg" /> to the market. If the manager undertakes the investment at <img src="4-9900128\bf13c7ce-0a6c-45c4-adfd-2687896347d7.jpg" />, then the stock price instantly jumps upwards to</p><p><img src="4-9900128\3d92a293-c788-44d2-bd64-35f019f55f88.jpg" />,<img src="4-9900128\34d1a0f4-1bd0-4162-b425-5de239946e91.jpg" />.</p><p>Thus, the jump size in the stock price is <img src="4-9900128\4887591f-7678-4c2c-9b85-ada100724c14.jpg" /> where</p><p><img src="4-9900128\dc12853b-9991-4d77-adeb-83e9bd6148a7.jpg" /></p><p>Otherwise, the market assumes<img src="4-9900128\08f056f1-22e7-40c0-b971-4188cc983412.jpg" />. Then the stock price instantly jumps downwards to</p><p><img src="4-9900128\3bf60601-0efd-4e91-89ca-91fc13559856.jpg" />.</p><p>The side of the downwards jump is <img src="4-9900128\37546c0d-ab1b-4897-b63f-5b9059f8dc71.jpg" />. Thus, the sizes of upwards and downwards jumps are the same under<img src="4-9900128\865a334b-684c-47af-a739-e80b3cf4e523.jpg" />.</p><p>The upper left-hand side panel of <xref ref-type="fig" rid="fig3">Figure 3</xref> demonstrates the stock price reaction to investment. Here, we generate stock price paths computed with the same parameters as in the previous section and fixed<img src="4-9900128\bf2f26c7-61d5-4a52-aaaf-ffe123898a1a.jpg" />. Then the stock price is 63.42 just prior to <img src="4-9900128\d26865ad-070b-49c9-a3fe-cc0086e9214d.jpg" />. If the manager undertakes the investment at<img src="4-9900128\eab1a42f-e76b-4b79-8c7c-d419a2031ea3.jpg" />, the stock price jumps upwards to 73.13. Otherwise, the stock price jumps downwards to 53.70. Thus, the jump size in the stock price reaction to investment is 9.71 under<img src="4-9900128\c4312458-3948-4edd-8363-800cedfa0467.jpg" />.<sup>10</sup></p><p>We begin by investigating the effect of the penalty <img src="4-9900128\9782d122-5ed1-4c37-8d7b-59834805d0af.jpg" /> on the size of the stock price reaction to investment. Consider a change in the penalty <img src="4-9900128\98fa75fd-9ded-44c9-94f8-07b8cd3a36fb.jpg" /> from 0 to 100. Our intuitive conjecture is as follows. The jump size in the stock price reaction is decreasing monotonically in P</p><p>because the difference in the stock prices between the symmetric and asymmetric information problems is decreasing monotonically in the exogenous penalty<img src="4-9900128\60cb6743-d6b0-4f39-accd-b5dee4c4a0fc.jpg" />, shown in the left-hand side panel of <xref ref-type="fig" rid="fig1">Figure 1</xref>. Interestingly, however, contrary to our intuitive conjecture, the jump size in the stock price reaction need not be monotonic in<img src="4-9900128\c1c232d9-bade-4629-a327-0f6b5b223435.jpg" />, shown in the upper right-hand side panel of <xref ref-type="fig" rid="fig3">Figure 3</xref>. The reason is that <img src="4-9900128\83243513-77a0-4e8e-b5a5-694612040de2.jpg" /> is non-monotonic with P. This result is also new and not shown by the GW model where<img src="4-9900128\5e4dc146-1aa6-49bd-8cda-3007891688e2.jpg" />. Note that the jump size in the GW model corresponds to that in the incentive-only region (<img src="4-9900128\44682bd8-cddd-411e-b79a-b3da4c30b6e1.jpg" />) in our model.</p><p>Therefore, in contrast to our intuition, the jump size in the stock price reaction to investment has a Λ-shaped relation with<img src="4-9900128\0c1087e6-807d-4c2b-bd21-7df12c0ba1ca.jpg" />.</p><p>Next, we examine the effect of the volatility parameter<img src="4-9900128\77bf9a66-df16-4896-a99f-f0b2b1c61512.jpg" />, shown in the lower right-hand side panel. The volatility parameter <img src="4-9900128\a4598268-8fdc-4e9c-9a70-636f82cb0480.jpg" /> is changed from 0 to 0.4. The other parameters are unchanged. We see that the jump size in our model and the GW model are 9.71 and 7.24 under<img src="4-9900128\d4dacc4c-6ecd-4109-84ab-5e870ea49c7c.jpg" />, respectively. Here interestingly, the jump size in our model is increasing in<img src="4-9900128\f9a734e4-13c9-4e8d-8688-b4d882d5a8bc.jpg" />, while in Grenadier and Wang [<xref ref-type="bibr" rid="scirp.19391-ref2">2</xref>] it is decreasing in<img src="4-9900128\1569f792-6a0a-4ca1-823d-ebf424bb51b1.jpg" />. The reason is that the probability is a Λ-shaped curve with<img src="4-9900128\827c196d-f748-4509-a964-dd8435045a01.jpg" />.</p><p>Finally, we examine the effect of efficiency measure <img src="4-9900128\e3b171a7-26e8-4401-a80b-18306471d0cb.jpg" /> on the auditing cost function, shown in the lower right-hand side panel. The efficiency measure <img src="4-9900128\f67cb3d9-f316-4fbd-acb5-5e23fe2a1a4f.jpg" /> for the auditing cost function is changed from 10 to 40. Again, contrary to our intuition, the jump size in the stock price reaction to investment is decreasing in<img src="4-9900128\0e2101ff-5139-438c-8917-de2056a61e22.jpg" />.</p></sec></sec><sec id="s5"><title>5. Concluding Remarks</title><p>Our paper extended the investment timing decision problem under asymmetric information by adopting the enlarged set of incentive-disincentive contracts framework. Investment timing under asymmetric information is delayed, compared with that under asymmetric information. However, investment timing under asymmetric information converges to the symmetric information investment timing by making the disincentive (penalty) for the manager’s untruthful report sufficiently large. Consequently, by adopting the enlarged set of incentive-disincentive contracts framework, we showed that there is a relationship between the symmetric and asymmetric information problems.</p><p>We consider the inefficiency in the social welfare under the enlarged set of incentive-disincentive contracts. Based on the fact that the investment timing and stock price (owners’ value) in our model are between those of MS and GW, we conjecture intuitively that social welfare</p><p>in our model is also between social welfare in those two papers. However, the result is not necessarily correct. We showed that owners’ rationality does not necessarily lead to total social rationality.</p></sec><sec id="s6"><title>REFERENCES</title></sec><sec id="s7"><title>Appendix A. Proof of Lemma and Proposition</title>A.1. Proof of Proposition 1<p>By omitting<img src="4-9900128\2152228a-d867-48ec-8056-5f02a2d6a73c.jpg" />, the Lagrangian can be formulated as:</p><p><img src="4-9900128\5db63a7c-b6e8-4a0f-9fc5-f6e235e6f9a9.jpg" /></p><p>where <img src="4-9900128\0cff1776-c167-4a1c-964a-063bac010ac6.jpg" /> (<img src="4-9900128\000d4488-1a32-4b4a-b2eb-d5b5ad289b81.jpg" />) denotes the multiplier on the constraints. The Kuhn-Turker conditions are</p><p><img src="4-9900128\1ec42c9d-f658-44b3-9f84-b1dbec3ee9f0.jpg" />, <img src="4-9900128\b3e8fbef-e83c-467d-94f0-10136441631d.jpg" /><img src="4-9900128\e44eda45-1409-4ef5-aa60-d22fc528541d.jpg" />, <img src="4-9900128\3b05569f-0b1d-45c0-bbb5-0c40f0fa16c1.jpg" />, <img src="4-9900128\af1092f7-e098-44e7-b4ef-6ae66d75a4b5.jpg" />and</p><p><img src="4-9900128\d9a28df0-7fe0-47a9-a944-3d3c33ec1697.jpg" />, <img src="4-9900128\287253e5-c01e-4321-8b43-5b014e3014f3.jpg" />,<img src="4-9900128\6ec6466f-db6e-4b26-9151-c1e905b82af1.jpg" />.</p><p>The solution depends on whether or not <img src="4-9900128\907a1ca2-8b97-4136-bc15-27c304c10cfa.jpg" /> and <img src="4-9900128\eefc7012-983e-4747-93ef-c256ad7e7af5.jpg" /> are equal to zero. First, suppose that <img src="4-9900128\2e883696-5fc2-4234-bc11-da3ff7daecf4.jpg" /> and<img src="4-9900128\fd063499-95e6-49df-b993-0aced971b93a.jpg" />. Then we have <img src="4-9900128\5dbae9c2-8564-43f6-ad85-702e0e12f377.jpg" /> and <img src="4-9900128\e3afe1ba-70d0-48e7-82e5-2503ee2a2aa0.jpg" /> implying<img src="4-9900128\038c956b-a683-4e74-bf7c-dbbde16c5d69.jpg" />, which contradicts<img src="4-9900128\ca71b000-00d8-48cb-bbd5-266343565370.jpg" />. Thus, at least one of <img src="4-9900128\a989e1d7-9f4d-403c-a751-fdbebf946c98.jpg" /> and <img src="4-9900128\4e373061-f4e6-4e9a-9143-21a0bde2c50c.jpg" /> must be binding. Second, suppose that <img src="4-9900128\5d60a21b-17fe-416c-8fe2-48f4b4f82556.jpg" /> and<img src="4-9900128\68d457ee-7a8a-4bdb-ae84-5fdac17d641f.jpg" />. Then since<img src="4-9900128\457c29db-753a-4d79-80eb-dd6c1c0330a6.jpg" />, we have the solution in the bonus-only (Ab) region with<img src="4-9900128\030fa8f2-e900-45ce-b062-59adcf572e6d.jpg" />. Third, suppose that<img src="4-9900128\743d8add-8995-4a97-b974-a2176538e02b.jpg" />. Then we obtain <img src="4-9900128\86d3cedf-f3ff-4acc-a8d8-27001e987b98.jpg" /> and<img src="4-9900128\ceb4cd1b-94ab-4400-b3ab-0543eaef1fa5.jpg" />. It is straightforward to obtain the solution in the combination (Ac) region. Finally, suppose that <img src="4-9900128\33ce3e3e-bee3-42b5-aca7-597ecd1151d7.jpg" /> and<img src="4-9900128\129362f8-b35f-4732-9387-2d055b86da58.jpg" />. Then we have <img src="4-9900128\efc739be-ae37-4dce-a065-b6a04201543a.jpg" />, and <img src="4-9900128\c111dec7-d00f-46a6-a48a-af087aca19b2.jpg" /> because of <img src="4-9900128\c9d9d0f0-89c5-4c79-b2aa-8ffb23667c68.jpg" />. Thus, we get the solution in the auditonly (Aa) region with <img src="4-9900128\fc581113-43ac-45eb-b783-e76600f6c034.jpg" />.</p>A.2. Proof of Corollary 1<p>Here, we prove that<img src="4-9900128\b2123692-bdd4-4c38-a1c3-52cd7e3ed1f8.jpg" />. First, it is easy to obtain <img src="4-9900128\e2478e75-5b56-4ae5-92db-264004e50619.jpg" /> from</p><p><img src="4-9900128\4cfe36e6-69b5-4beb-a532-4870882e5421.jpg" />and<img src="4-9900128\e2f1d2c0-3b53-447e-9145-8951fb8c2073.jpg" />. Second, <img src="4-9900128\1f4468f5-f8da-46a1-bf7c-e59d9013cf2d.jpg" />can be proved because of</p><p><img src="4-9900128\223c5507-1348-41e7-87c5-7c1e3bed3f87.jpg" />and<img src="4-9900128\1afcecce-40ae-4510-99e1-1afdad4b11cb.jpg" />. Finally, we prove<img src="4-9900128\727ae97e-7b9c-4753-997f-9aedea275580.jpg" />. The trigger <img src="4-9900128\653c5d78-eb2f-4451-b306-680ca8265148.jpg" /> is equal to</p><p><img src="4-9900128\21ad242f-1ea4-4cdb-9686-88fc038f4c3a.jpg" />.</p><p>Here, we have used <img src="4-9900128\65c6c826-6370-4de7-a895-44e70828d0ea.jpg" /> at the optimum. Because <img src="4-9900128\48b4f0e6-146e-476a-ba00-cc0fafdee568.jpg" /> is strictly increasing and convex with<img src="4-9900128\e7ab8b38-37c2-4a62-88bc-e1555b3801f8.jpg" />, the second term is negative. Thus, the proof is complete.</p></sec><sec id="s8"><title>Appendix B. Related Papers</title><p>This appendix explores the two problems in GW and S.</p>B.1. Grenadier and Wang (GW) Model<p>The GW model (asymmetric information problem with the incentive-only mechanism) is formulated as:</p><p><img src="4-9900128\4fe61667-4ea9-4f5e-a2e4-cb787c7c9eb8.jpg" /></p><p>subject to</p><p><img src="4-9900128\ce7eb265-ce2d-4d5a-a3cc-6484c6bef7d3.jpg" />, <img src="4-9900128\91dca52d-50ab-41af-8f80-90aaca1135aa.jpg" />, <img src="4-9900128\c7c2d3e6-c982-40cb-87d4-83f09dcdc02e.jpg" />, <img src="4-9900128\6623c778-49c3-47ad-93aa-a9fbeeabeaa3.jpg" />,<img src="4-9900128\4a3296ed-4f35-41c1-b94c-d465417a0e9e.jpg" />.</p><p>At the optimum, we can simplify the problem as follows:</p><disp-formula id="scirp.19391-formula104083"><label>. (B.1)</label><graphic position="anchor" xlink:href="4-9900128\5c55d0a9-017f-4afd-b61a-58141da65e05.jpg"  xlink:type="simple"/></disp-formula><p>Equation (B.1) means that the owner’s value is reduced by the term<img src="4-9900128\66014163-39d6-4d9b-b5ad-63105465fc9a.jpg" />, compared with the symmetric information problem defined by (10). The optimal contracts are obtained by</p><p><img src="4-9900128\6d7d0550-5217-4a10-84b2-b2c179a6965a.jpg" />,<img src="4-9900128\34bedbe3-8232-40bf-ad28-7d93c875c067.jpg" />.</p><p>The superscript “GW” refers to the optimum in the GW model. The owner’s, manager’s, total values are given as</p><p><img src="4-9900128\a08fb13b-95ce-4ea5-af2e-886b54410bc5.jpg" /><img src="4-9900128\5363a830-caae-449b-be56-c687de5cfa14.jpg" />, <img src="4-9900128\45a30d57-20e7-4704-85b0-5d54e2d724da.jpg" />where<img src="4-9900128\9fd933d6-1a0a-4634-9234-9c2cd9474085.jpg" />.</p>B.2. Shibata (S) Model<p>The Shibata model (asymmetric information problem with the incentive-disincentive mechanism with limitedliability constraints on penalties) is defined by:</p><p><img src="4-9900128\e06e91ff-69a0-461e-a67a-a6150453ae0e.jpg" /></p><p>subject to</p><p><img src="4-9900128\be671a9d-d930-4311-8bd5-e62ed6250205.jpg" />, <img src="4-9900128\b02d455c-63da-4bc2-ab38-574c9eb706e5.jpg" />, <img src="4-9900128\8bd72740-828d-4d0c-a0e8-15c8d5a149b9.jpg" />, <img src="4-9900128\f5883b25-0cbf-4826-8e83-5706e5038e48.jpg" />, <img src="4-9900128\4d80fedc-b0f6-480b-800e-e683838ecb67.jpg" />, <img src="4-9900128\7b398939-b037-4a1a-95b7-6c2b52660b14.jpg" />, <img src="4-9900128\cbd72206-5828-473e-a685-0448d6f99283.jpg" />, <img src="4-9900128\8b35f83e-3826-48dd-9d88-c78209b3eccb.jpg" />,<img src="4-9900128\6e56414c-e0cf-4f4e-80e6-fbef704acfd6.jpg" />.</p><p>Then, we obtain<img src="4-9900128\90feb7bb-d193-4fa4-b301-db7081359df7.jpg" />, <img src="4-9900128\c9b70a0b-6283-4e4a-b937-786ea21b94ca.jpg" />, <img src="4-9900128\3c0db950-9bf4-484b-a1b4-e300750d2fff.jpg" />and <img src="4-9900128\45a127bb-0f6e-4c5a-9129-7cc97070c093.jpg" /> where the superscript “S” refers to the optimum in the S model, and reduce the number of constraints to only one:</p><disp-formula id="scirp.19391-formula104084"><label>(B.2)</label><graphic position="anchor" xlink:href="4-9900128\355afdc1-55b3-422c-9a9b-01cde2d6ec12.jpg"  xlink:type="simple"/></disp-formula><p>subject to<img src="4-9900128\09ea8992-f060-4771-af84-ba41756d0365.jpg" />. Equation (B.2) is reduced by the term<img src="4-9900128\f1429271-286d-4946-9c48-ccae667c139a.jpg" />, compared with (10) in the symmetric information problem. The optimal contracts are obtained as follows. If<img src="4-9900128\2cda95be-b332-4125-bdc6-f7dd209cec81.jpg" />, <img src="4-9900128\05108d6d-ba4c-413a-bebb-ad0a4133e609.jpg" />turns out to be:</p><p><img src="4-9900128\6335c64a-4584-431c-9a0c-ecc2736cb91f.jpg" />, <img src="4-9900128\74192064-a43a-48e2-979c-7ef3f62fcabf.jpg" /></p><p>Otherwise, the solutions are equal to those in which <img src="4-9900128\82baa954-bf08-4a05-9d8a-1dcfad07f1ac.jpg" /> is substituted. The owner’s, manager’s, and total values become</p><p><img src="4-9900128\88dfe211-c824-4475-980b-24a0b996ac2c.jpg" /><img src="4-9900128\29ca2874-5d13-477b-97e4-61b498bd0726.jpg" />, <img src="4-9900128\e755b1ff-cc46-429c-8bf3-12f47d313335.jpg" /></p><p>where<img src="4-9900128\197ea6c8-45de-4c6a-9454-c8aa2fd43cf9.jpg" />.</p></sec><sec id="s9"><title>NOTES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.19391-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">A. Dixit and R. S. Pindyck, “Investment under Uncertainty,” Princeton University Press, Princeton, 1994.</mixed-citation></ref><ref id="scirp.19391-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">S. R. Grenadier and N. Wang, “Investment Timing, Agency, and Information,” Journal of Financial Economics, Vol. 75, No. 3, 2005, pp. 493-533.  
doi:10.1016/j.jfineco.2004.02.004</mixed-citation></ref><ref id="scirp.19391-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">H. Weeds, “Strategic Delay in a Real Options Model of R &amp; D Competition,” Review of Economic Studies, Vol. 69, No. 3, 2002, pp. 729-747.  
doi:10.1111/1467-937X.t01-1-00029</mixed-citation></ref><ref id="scirp.19391-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">M. Nishihara and M. Fukushima, “Evaluation of Firm’s Loss Due to Incomplete Information in Real Investment Decision,” European Journal of Operational Research, Vol. 188, No. 2, 2008, pp. 569-585.  
doi:10.1016/j.ejor.2007.03.046</mixed-citation></ref><ref id="scirp.19391-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">A. E. Bernardo and B. Chowdhry. “Resouces, Real Options, and Corporate Strategy,” Journal of Financial Economics, Vol. 63, No. 2, 2002, pp. 211-234.  
doi:10.1016/S0304-405X(01)00094-0</mixed-citation></ref><ref id="scirp.19391-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">T. Shibata, “The Impacts of Uncertainties in a Real Options Model under Incomplete Information,” European Journal of Operational Research, Vol. 187, No. 3, 2008, pp. 1368-1379. doi:10.1016/j.ejor.2006.09.019</mixed-citation></ref><ref id="scirp.19391-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">A. Mello and J. J. Parsons, “Measuring the Agency Costs of Debt,” Journal of Finance, Vol. 47, No. 5, 1992, pp. 1887-1904. doi:10.2307/2329000</mixed-citation></ref><ref id="scirp.19391-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">H. E. Leland, “Agency Costs, Risk Management, and Capital Structure,” Journal of Finance, Vol. 53, No. 4, 1998, pp. 1213-1243. doi:10.1111/0022-1082.00051</mixed-citation></ref><ref id="scirp.19391-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">R. Townsend, “Optimal Contracts and Competitive Markets with Costly State Verification,” Journal of Economic Theory, Vol. 33, 1979, pp. 265-293.  
doi:10.1016/0022-0531(79)90031-0</mixed-citation></ref><ref id="scirp.19391-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">D. Baron and D. Besanko, “Regulation, Asymmetric Information, and Auditing,” RAND Journal of Economics, Vol. 15, No. 4, 1984, pp. 447-470. doi: 10.2307/2555518</mixed-citation></ref><ref id="scirp.19391-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">J. J. Laffont and J. Tirole, “Using Cost Observation to Regulated Firms,” Journal of Political Economy, Vol. 94, No. 3, 1986, pp. 614-641. doi:10.1086/261392</mixed-citation></ref><ref id="scirp.19391-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">T. Shibata, “Investment Timing, Asymmetric Information, and Audit Structure: A Real Options Framework,” Journal of Economic Dynamics and Control, Vol. 33, No. 4, 2009, pp. 903921. doi:10.1016/j.jedc.2008.10.005</mixed-citation></ref><ref id="scirp.19391-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">R. McDonald and D. R. Siegel, “The Value of Waiting to Invest,” Quarterly Journal of Economics, Vol. 101, No. 4, 1986, pp. 707-727. doi:10.2307/1884175</mixed-citation></ref><ref id="scirp.19391-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">D. Fudenberg and J. J. Tirole, “Game Theory,” MIT Press, Cambridge, 1991.</mixed-citation></ref><ref id="scirp.19391-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">J. J. Laffont and D. Martimort, “The Theory of Incentives: The Principal-Agent Model,” Princeton University Press, Princeton, 2002.</mixed-citation></ref></ref-list></back></article>