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THIS CERTIF]CATE IS AUIARDED

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Hermeindito

Certif icate

For (his/her) participation as

Presenter

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The 2"u Indonesian Finance Association International Conference 2Ot6

held at the Master of Management Program, Universitas Gadjah Mada, Yograkarta, Indonesia on August 10-

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l, 2016

May this certificate be valuable to those who may concern.

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Dr. Irwan Adi Ekaputra

President of Indonesian Finance Association

Prof. Eduardus Tandelilin

Chairman of Advisory Board

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Board Member

International Advisory Board

1. Prof. Kose John (New York University, USA)

2. Prof. IftekharHasan (Fordham University, USA – Journal of Financial Stability) 3. Prof. Anthony Saunders (New York University, USA)

4. Prof. Amine Tarazi (University of Limoges, France)

5. Prof. Ghon Rhee (University of Hawaii, USA – Pacific-Basin Finance Journal – President, Asian Finance Association)

6. Prof. Bill Francis (Rensselaer Polytechnic Institute, USA) 7. Prof. Laurent Weill (University of Strasbourg, France) 8. Prof. Maximillian J.B. Hall (Loughborough University, UK)

9. Prof. Michael Koetter (Frankfurt School of Finance and Management, Germany) 10. Prof. Clas Wihlborg (Chapman University, USA)

11. Prof. Thorsten Beck (City University of London, UK) 12. Prof. Sris Chaterjee (Fordham University, USA) 13. Prof. Haider Ali Khan (Denver University, USA) 14. Prof. Chu Zhang (HKUST, Hong Kong)

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Dewan Pengarah

Ketua Dewan Pengarah

Prof. Eduardus Tandelilin (UniversitasGadjahMada/ UGM)

Anggota Dewan Pengarah 1. Dr. Muliaman D. Hadad (OtoritasJasaKeuangan) 2. Dr. Halim Alamsyah (Lembaga Penjamin Simpanan) 3. Mr. Kartika Wirjoatmodjo (Wakil Menteri BUMN RI) 4. Dr. Friderica Widyasari Dewi (PT. Danareksa) 5. Prof. Wimboh Santoso (Otoritas Jasa Keuangan) 6. Dr. Arry Basuseno (Bank Mandiri)

7. Prof. Marwan Asri (UGM) 8. Dr. Suad Husnan (UGM)

9. Dr. Ruslan Prijadi (Universitas Indonesia/ UI) 10. Dr. Wisnu Untoro (UniversitasSebelasMaret/ UNS) 11. Dr. Rofikoh Rokhim (APMMI)

12. Prof. Roy Sembel (IPMI IBS)

President

Prof. Irwan Adi Ekaputra (UI) VP Program and International Relations

Dr. Irwan Trinugroho (UNS) VP Membership and Administration

Dr. Mamduh M. Hanafi (UGM) VP Research Activities and Cooperation

Dr. Zaafri A. Husodo (UI) Koordinator Bidang

Koordinator bidang: Financial Intermediation and Risk Management Dr. Moch. Doddy Ariefianto (Universitas Bina Nusantara)

Koodinator bidang: Asset Pricing and Investment Dr. Candra Chahyadi (Eastern Illinois University, USA) Koordinator bidang: Corporate Finance and Corporate Governance

Dr. Muhammad Agung Prabowo (UNS)

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Board Member

1. Dr. Rahmat Setiawan (Universitas Airlangga) 2. Dr. Rahmat Sudarsana (Universitas Padjajaran) 3. Dr. Wendy (Universitas Tanjungpura)

4. Dr. Agusman (Bank Indonesia)

5. Dr. Fitri Ismiyanti (Universitas Airlangga) 6. Dr. Iman S. Suriawinata (STEI)

7. Dr. Putu Anom Mahadwarta (Universitas Surabaya) 8. Dr. Hermeindito Kaaro (UniversitasWidya Mandala) 9. Dr. Tri Gunarsih (Universitas Teknologi Yogyakarta) 10. Prof. Niki Lukviarman (Universitas Andalas)

11. Dr. Bramantyo Djohanputro (PPM School of Management) 12. Dr. Arifin Angriawan (Purdue University Calumet, USA)

Kesekretariatan

1. Dr. Leo Indra Wardhana (UGM) 2. Wardatul Adawiyah, MBA (UI) 3. Taufiq Arifin, M.Sc (UNS)

Bendahara

Dwi Sulistyorini Amidjono, MM (UI)

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2nd INDONESIA FINANCE ASSOCIATION INTERNATIONAL CONFERENCE, 2016 YOGYAKARTA

The Indonesian Finance Association (IFA) is a non-profit organization established to cultivate a strong network among academics, businesses, regulators, and financial experts in Indonesia, especially in the realms of corporate finance, capital markets, international finance, and financial institutions.

The IFA is aimed at improving the quality and quantity of research by Indonesian scholars and practitioners in finance and banking. Moreover, the organization yearns to contribute by offering research-based policy recommendations to financial regulators in Indonesia. The IFA's annual

conference corresponds with its missions of: (1) enhancing Indonesian financial scholars’ contributions to the international academic landscape, and (2) participating in advancing the financial literacy and policies in Indonesia. In the previous conference, the IFA has attracted delegates from over 50 universities and various countries.

The 2nd IFA International Conference 2016 is jointly organized by the Universitas Gadjah Mada Faculty of Economics and Business, Universitas Indonesia Faculty of Economics and Business, Universitas Sebelas Maret Faculty of Economics and Business, and Universitas Teknologi Yogyakarta.

CALL FOR PAPERS

The IFA organizes an annual conference to facilitate members and non-members to come together for disseminating their knowledge and experiences in a friendly and helpful environment. The Conference will cover the following financial subtopics:

Asset Pricing Theory

Behavioral Asset Pricing

Banking and Financial Intermediation

Financial Crisis and Stability

Empirical Corporate Finance

Corporate Finance Theory

Derivatives

Empirical Asset Pricing

International Finance

Market Microstructure

Emerging Capital Markets

Islamic Finance

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Microfinance

The deadline for submission of completed papers is April 30, 2016. Paper can be written in English or Indonesian. Paper should be submitted via website http://www.ifa.or.id in "Submit Paper" menu.

For further information please email to: conference2016@ifa.or.id

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PUBLICATION OPPORTUNITIES

The Conference is affiliated with the following academic journals:

Pacific-Basin Finance Journal

Gadjah Mada International Journal of Business (indexed in SCOPUS, EBSCO, NSD)

Journal of Indonesian Economy and Business (indexed in EconLit, EBSCO, ProQuest)

Indonesian Capital Market Review BEST PAPER AWARD

The Pacific-Basin Finance Journal is pleased to award a prize of $1,000 to the best paper, which will be presented during the gala dinner.

PIVOTAL DATES

Paper submission’s deadline: May 31, 2016

Decision announcement: June 30, 2016

Deadline for registration: July 10, 2016

We look forward to seeing you in Yogyakarta, Indonesia

The 2nd IFA International Conference 2016 Steering Committee:

Prof. Dr. Eduardus Tandelilin (Universitas Gadjah Mada)

Dr. Irwan Adi Ekaputra (Universitas Indonesia)

Dr. Mamduh Hanafi (Universitas Gadjah Mada)

Dr. Irwan Trinugroho (Universitas

In the 2016, IFA will held the 2nd International Conference with the theme "Inspiring the Financial World from Indonesia." The conference will be held on:

Day, date: Wednesday-Friday, August 10-11, 2016

Venue: Master of Management Program, Universitas Gadjah Mada Faculty of Economics and Business (MM FEB UGM), Yogyakarta, Indonesia

Keynote Speaker:

1. Prof. Dr. Ghon Rhee (University of Hawaii, President of Asian Finance Association, Editor of Pacific- Basin Finance Journal)

2. Prof. Dr. Rezaul Kabir (University of Twente)

3. Prof. Jian-Xin Wang (UTS Business School, University of Technology Sydney) Plenary Presentation:

Religion and Financial Innovativeness

Policy-Making in Indonesian Financial Industry

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Honorary Speeches

1. Prof. Dr. Bambang Brodjonegoro (Former Minister of Finance)*

2. Mr. Agus Martowardoyo (Governor of the Bank of Indonesia)*

3. Dr. Muliaman Hadad (Chair of the Indonesia Financial Services Authority)*

4. Dr. Halim Alamsyah (Indonesia Deposit Insurance Corporation)*

5. Dr. Tito Sulistyo (Indonesia Stock Exchange)

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1 Entrenchment Hypothesis and Insider Institutional Ownership

Hermeindito

Graduate School of Business, Universitas Ciputra, Surabaya - Indonesia Abstract

The aim of this study is to examine the effect of insider institutional ownership on firm value.

Indonesian firms have unique characteristic ownership structures which are dominated by insider institutional ownerships rather than managerial ownerships. This study develops model of entrenchment hypothesis that explain the behavior of insider institutional ownership and value of firm. Using three stage least squares in the equation system, this study found there is M-shaped relationship between insider institutional ownership and firm value. The research finding is parallel with Hermalin and Weisbach (1991) that found M-shaped relationship between managerial ownership and firm value.

Keywords: insider institutional ownership, entrenchment hypothesis

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2 I. Introduction

Institutional ownerships of public firms in Indonesia have unique characteristics. First, they are commonly as part of the firm founders and actively manage the firm called insider institutional ownership. For this purpose, they restrain the share more than 50% in order to control the firm. Table 1 shows insider institutional ownership and managerial ownership for nonfinancial firm listed at Indonesia Stock Exchange from 1994 to 2008. Mean percentage of total insider institutional ownership are dominant from 58.95% in 1995 to 67.21% in 2005.

While aggregate mean of total insider institutional ownership is 64.59%.

Second, insider institutional ownership are also dominated by the largest institution ownership which has share proportion ranging from 44.16% in 2006 to 50.90% in 2001.

Aggregate mean of the largest insider institutional ownership is 47.64%. While managerial ownership only hold small portion with ranging from 0.45% in 1998 to 4.37%, and aggregate mean of managerial ownership is 1.17%. It is difficult to track inside the ultimate shareholders in Indonesia. Some ultimate shareholders may also personation of firm manager.

Therefore, it is also difficult to count the exact number of real managerial ownership.

Third, public ownership only hold small proportion ranging from 23.38% in 2008 to 30.08% in 2000. Aggregate mean of public ownership is 27.70%. Mahadwartha (2004) suggested that manager and insider institutional ownerships in Indonesia have inline interest to maximize their wealth. The conflict of interests are not between principal-agent but between principal-principal, more spesifically between insider institutional ownership and public ownership.

< Insert Table 1 here >

Several empirical evidences found non linear relationship between insider ownership and firm value that express managerial entrenchment behavior, but the shape types of relationship are mixed. Morck et al. (1988) estimated piecewise regression to test the effect of managerial ownership on Tobin’s Q. They found N-shaped relationship between manager ownership and firm value (Tobin’s Q). Short and Keasey (1999) used nonlinear regression of Tobin’s Q also found N-shaped relationship. Other studies found inverted U-shaped relationship (Chen & Steiner, 2000; McConnel & Servaes, 1990); M-shaped relationship (Hermalin & Weisbach, 1991); and W-shaped relationship (Cui & Mak, 2002).

Other empirical evidences found there are no relationships between ownership structure and firm value in associated with: multi-dimensional and endegenous variable of ownership (Demsetz & Villalonga, 2001); using adjustment cost approach (Cheung & Wei, 2006); earning quality (Mokhtari & Makerani, 2013; Najjar, 2015); domestic and foreign institutional ownership (Thanatawee, 2014). These findings consistent with diffuse ownership hypothesis.

Regarding the uniqueness ownership structure of the Indonesia firms, this study concern on institutional ownership rather than managerial ownership. The aims of this study is to develop and test empirical model of relationship between institutional ownership and firm value. This study examines whether agency control mechanism of dividend, ownership structure, and leverage does exist. Furthermore, this study also analyzes the impact of the agency control mechanism on firm value.

Chen and Steiner (2000) argued ownership structure is endegenous variable. Other studies argued ownership structure, leverage, and dividend are endogenous variables that represent mechanism tools of agency control (Chen & Steiner, 1999; Crutchley et al., 1999;

Jensen et al., 1992). This study develops interelationship between the three endogenous and

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3 its impact on firm value. Using nonlinear simultaneous equation model, this research finds M-shaped relationship between insider institutional ownership and firm value as entrenchment hypothesis predicted.

Rest of this paper is organized as follows. Section 2 discusses institutional ownership model in Indonesia. Section 3 develops hypothesis and empirical model. Section 4 discusses the research method, including sample, data, variable and technique. Section 5 reports and discusses the empirical data analysis. Finally, Section 6 concludes the research result.

2. Institutional Ownership in Indonesia

Institutional ownership in Indonesia can be classified into two major groups: external institutional ownership and internal institutional ownership (Mahadwartha, 2004). External institutional ownerships are institutions who buy the firm share through stock exchange, such as pension fund, mutual fund, treasury managers, insurance companies, and many other institutions. It is difficult to search exact number of external institutional ownership in Indonesia capital market. Both the stock exchange and firms do not publish the detail data of public ownership structure. Internal institutional ownerships, however, are publicly reported both by the stock exchange and firms. They are part of firm founders which restrain large shares, commonly more than 50%, when they decided to go public. Although it cannot track down ultimate shareholders, it is commonly believed that the ultimate shareholders play role important in managing the firm (Usman & Setyawan, 2008), called insider institutional ownership.

Figure 1 illustrates the mechanism of insider institutional ownership in Indonesia. Mr.

Agus owns 100% share of both firm X and firm Z. Through the two institutions, Mr. Agus owns 51% share of firm Y, while 49% share are owned by public investors. Firm X and firm Z vote Mr. Agus as chief executive officer. In this context, Mr. Agus, as ultimate shareholder, does not explicitly reported as owner of firm Y.

< Insert Figure 1 here >

3. Hypothesis Development and Empirical Model

At too low level of insider institutional ownership, managers will take more risky investment. Managers concern on firm growth to get more perquisite from the larger size of firm; such as higher incentive, compensation, and salary (Murphy, 1985). At this level, insider institutional ownership has lack of power to control the management of firm Y. In other words, insider institutional ownership have no strong tools to shifting the wealth of firm Y to firm X and firm Z.

Increasing insider institutional ownership will increase the control power of firm Y by promote and vote Mr. Agus as chief executive officer (CEO). Suppose firm X supplies input to firm Y; and firm Y supplies input to firm Z; it will lead Mr. Agus to maximize his wealth by expropriating assets of firm Y from those transactions. At this level, increasing insider institutional ownership may lead decreasing firm value. The conflict of interest between principals still arise because insider hold less than 100% of the residual claim (Harris &

Raviv, 1991; Jensen & Meckling, 1976). Mr. Agus has strong incentive to get entrenched as long as he has higher proportion of ownership at firm X and firm Z than firm Y. Table 1 ilustrate this assumption that level of insider institutional ownership is higher than level of public investor. From this point of view, higher insider institutional ownership potentially

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4 decreases firm value. This view is parallel with hypothesis that higher insider ownership allows manager to become entrenched (Chen & Steiner, 2000; McConnel & Servaes, 1990).

At the moderate-high level of insider institutional ownership, there is strong incentive for Mr. Agus to improve the value of firm Y. Some previous studies support the hypothesis that there is N-shape relationship between managerial ownership and firm value (Morck et al., 1988; Short & Keasey, 1999). At this stage, from insider institutional ownership’

perspective, there two motives that explain Mr. Agus should spent more time and control to increase the performance of firm Y. First, he want firm Y increase both in size and value because it will directly impact on the performance of firm X and firm Z. Second, Mr. Agus now concern on the performance of firm Y due to considerable proportion of insider ownership. Mr. Agus has incentive again to converge his interest with public investors, mean that higher insider institutional ownership higher firm value.

However, when shares of the insider institutional ownership continue to increase closed to 100% of residual claim, Mr. Agus has equal incentive to protect firm Y, X, and Z.

At this level, Mr. Agus will entrench firm Y by shifting his risk taking behavior from risky investment to less risky investment decisions.

Figure 2 summaries the hypothesis that shows M-shaped relationship between insider institutional ownership (Inst_own) and firm value (VF). The model is parallel to Hermalin and Weisbach (1991) that find M-shaped relationship between managerial ownership and firm value. However, this study provides different argument and explanation in developing concept and hypothesis that related with insider institutional ownership rather than managerial ownership. The symbols of β1, β2, β3, and β4 are coefficient of paramaters of nonlinear insider institutional ownership that represent the sign hypotheses of +, –, +, and – ,for β1, β2, β3, and β4 respectively.

< Insert Figure 2 here >

4. Research Method 4.1. Data and Sample

Data of insider institutional ownerships are obtained from Annual Indonesian Capital Market Directory from 1994 through 2008. Financial data of firms and stock price are obtained from Indonesia Stock Exchange and financial statement reports provided annually by non-financial firms that listed at Indonesia Stock Exchange. It is difficult to obtain consecutive years of financial data for all sample firms due to unavailability data sources from representative institution. Table 2 reports sample size per year from 1998 to 2008. Some missing and outlier data from 2000 to 2008 are also reported in the table. The total samples in this study are 1446 firm-year observations.

< Insert Table 2 here >

4.2. Variables

4.2.1. Endogenous Variables

Chen and Steiner (1999) proposed four equations that explain relationship between managerial ownership, debt, dividend policy, and risk. They found that there is negative relationship between managerial ownership, debt, and dividend. The result confirms hypothesis of substitute agency control mechanism. This study develops model to examine the effect of the three agency control mechanism on firm value. There are four endogenous

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5 variables in system of equations. Market to book value of capitals (Mbv) is used as a proxy of firm value. Mbv is calculated as (number of common share x stock price + book value of interest bearing debt)/(book value of equity + book value of interest bearing debt). Insider institutional ownerships are part of founders of firm that retain a number of their shares when they decided to go public. Insider institutional ownership (Inst_own) is calculated as number of shares of the largest insider institutional ownership/total number of shares. The proxy of leverage is interest bearing debt to total assets (Ibd_ta). Noninterest bearing debt is excluded in this measurement in order to isolate the effect of accounting bias due to window dressing.

This proxy represents public investors’ interest who wants to control risk taking behavior of insider ownership through increasing riskier debt. Dividend payout ratio (Div) is calculated as dividend payment/net income. All endogenous variables are calculated as follows:

𝑀𝐵𝑉𝑡 = (𝑁𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝑜𝑢𝑡𝑠𝑡𝑎𝑛𝑑𝑖𝑛𝑔 𝑠ℎ𝑎𝑟𝑒 𝑥 𝑆𝑡𝑜𝑐𝑘 𝑃𝑟𝑖𝑐𝑒)𝑡 (𝐵𝑜𝑜𝑘 𝑣𝑎𝑙𝑢𝑒 𝑜𝑓 𝑒𝑞𝑢𝑖𝑡𝑦)𝑡

(1)

𝐼𝑛𝑠𝑡_𝑜𝑤𝑛𝑡 =(𝑁𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝑠ℎ𝑎𝑟𝑒 𝑜𝑓 𝑙𝑎𝑟𝑔𝑒𝑠𝑡 𝑖𝑛𝑠𝑖𝑑𝑒𝑟 𝑖𝑛𝑠𝑡𝑖𝑡𝑢𝑡𝑖𝑜𝑛𝑎𝑙 𝑜𝑤𝑛𝑒𝑟𝑠ℎ𝑖𝑝)𝑡 (𝑇𝑜𝑡𝑎𝑙 𝑛𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝑠ℎ𝑎𝑟𝑒𝑠)𝑡

(2)

𝐼𝑏𝑑_𝑡𝑎𝑡 = (𝐼𝑛𝑡𝑒𝑟𝑒𝑠𝑡 𝑏𝑒𝑎𝑟𝑖𝑛𝑔 𝑑𝑒𝑏𝑡)𝑡 (𝑡𝑜𝑡𝑎𝑙 𝑎𝑠𝑠𝑒𝑡𝑠)𝑡

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𝐷𝑖𝑣𝑡= (𝐷𝑖𝑣𝑖𝑑𝑒𝑛𝑑 𝑝𝑎𝑦𝑚𝑒𝑛𝑡)𝑡 (𝑁𝑒𝑡 𝐼𝑛𝑐𝑜𝑚𝑒)𝑡

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4.2.2. Exogenous Variables

There are seven instruments variables in the equation system. Those are return on investment (Roi), firm size (F_size), operating cash flow to total capital (Ocf_tc), business risk (B_srisk), dummy of dividend payment (Div_dum), foreign ownership (Frg_own), mean Roi (M_roi), and Operating cash flow to total capital (Ocf_tc). All exogenous variables are calculated as follows:

𝑅𝑜𝑖𝑡 = (𝑂𝑝𝑒𝑟𝑎𝑡𝑖𝑛𝑔 𝐼𝑛𝑐𝑜𝑚𝑒)𝑡 (𝑇𝑜𝑡𝑎𝑙 𝐴𝑠𝑠𝑒𝑡𝑠 )𝑡

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F_sizet = logarithm natural of net fixed assets (6)

𝑂𝑐𝑓_𝑡𝑐𝑡= 𝑂𝑝𝑒𝑟𝑎𝑡𝑖𝑛𝑔 𝐶𝑎𝑠ℎ 𝐹𝑙𝑜𝑤

(𝐵𝑜𝑜𝑘 𝑉𝑎𝑙𝑢𝑒 𝑜𝑓 𝐸𝑞𝑢𝑖𝑡𝑦 + 𝐼𝑛𝑡𝑒𝑟𝑒𝑠𝑡 𝐵𝑒𝑎𝑟𝑖𝑛𝑔 𝐷𝑒𝑏𝑡)

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6

𝐵_𝑟𝑖𝑠𝑘𝑡= √∑𝑛=−4𝑡=0 (𝑂𝑃𝑀𝑡− 𝑂𝑃𝑀)2 𝑛 − 1

Where OPM is operating profit margin that calculated as follows:

𝑂𝑃𝑀𝑡= (𝑂𝑝𝑒𝑟𝑎𝑡𝑖𝑛𝑔 𝐼𝑛𝑐𝑜𝑚𝑒)𝑡 (𝑆𝑎𝑙𝑒𝑠)𝑡

𝑂𝑃𝑀 = ∑𝑛=5𝑡=1𝑂𝑃𝑀𝑡 𝑛

(8a)

(8b)

(8c)

Div_dum = 1 for increasing dividend payout ratio; = 0 for otherwise (9)

𝐹𝑟𝑔_𝑜𝑤𝑛 = Shares number of foreign ownership Total number of shares

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𝑀_𝑟𝑜𝑖 = 𝑅𝑂𝐼 = ∑𝑛=5𝑡=1 𝑅𝑂𝐼𝑡 𝑛

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4.3. Empirical Model

Based on previous studies, and the hypothesis development of the endogeneity of firm value, leverage, dividend, and insider institutional ownership, this study develops empirical nonlinear simultaneous equation model. The model will be run in the equation system using three stage least square (3SLS). Basic model in the equation system can be represented as:

Mbv = f (Div, Ibd_ta, Inst_own, Ocf_tc, Roi, F_size) (12)

Ibd_ta = f (Div, Inst_own, B_risk, M_Roi) (13)

Div = f (Ibd_ta, Inst_own, M_roi, Div_dum) (14)

Inst_own = f (Div, Ibd_ta, M_roi, F_size, Frg_own) (15)

The basic model in the equation 12-15 will be expanded by nonlinear simultaneous equation model in the equation system.

5. Research Result and Discussion

Table 3 reports descriptive statistics for all endogenous and exogenous variables based on sample firms with 1446 observations. It shows that the average Market to book value (Mbv) is 1.3415 with a standard deviation of 1.6635. The average debt to interest bearing debt to total asset (ibd_ta) is 0.6439. The dividend payout ratio (Div) has a mean

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7 value of 0.1256. The percentage of the largest share of insider institutional ownership is 0.4833 for the average firm. The average ROI is 0.0737 with standard deviation is 0.1244.

The measure of firm size defined as logarithm natural of net fixed assets (F_size) is 26.0604 (average absolute IDR is 207.9 billion). Operating cash flow to total capital and business risk have mean values of 0.0558 and 0.1013, respectively. Dividend dummy (Div_dum) has mean value of 0.2517 with 390 firms-year payout dividend and 1056 firm-year did not payout dividend. Finally, the average value of foreign ownership is 0.2150 and the average Mean ROI (M-roi for 5 years) is 0.0734.

< Insert Table 3 here >

Table 4 presents the parameter estimates from using 3SLS for the equation system defined by equation 12-15. Column 1 in Table 4 shows results for variable Mbv. All variables, including insider institutional ownership have significant impact on Mbv.There is negative relationship between dividend (Div) and leverage (Ibd_ta). This result supports substitution-monitoring for agency control mechanism hypothesis (Chen & Steiner, 1999).

While Inst_Own has significant impact on Ibd_ta, but it has no significant impact on Div.

< Insert Table 4 here >

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8 Table 5 reports the results of the nonlinear 3SLS estimates for the equation system which expand the basic model defined by equation 12-15. Column 1 in Table 5 shows results for variable Mbv. All variables, including insider institutional ownership have significant impact on Mbv. Ibd_ta has nonlinear impact on Mbv. The positive and significant sign on Ibd_ta suggests that over low levels of debt, as debt increases, the market to book value increase to reduce agency cost of equity. The negative and significant parameter estimate for Ibd-ta2 indicates that at high levels of debt, bankruptcy risk becomes important to investors and market to book value is decreased. Furthermore, column 2 in Table 5 also reports nonlinear relationship between B_risk and Ibd_ta. The positive and significant sign on B-risk suggests that over low levels of risk, as risk increases, the debt increase to get tax shield advantage. The negative and significant parameter estimate for B_risk2 indicates that at high level of risk, bankruptcy risk becomes important to stakeholders and debt is reduced. This result supports trade-off hypothesis. Columns 2 and 3 in Tables 4 and 5 report inconsistent results for the effects of Inst_own on Ibd_ta and Div.

< Insert Table 5 here >

Table 6 presents the results of the nonlinear 3SLS estimates for the equation system that develops model from equations in Table 5. Column 1 in Table 6 shows results for variable Mbv. The quadratic equations for Inst_own and Inst_own2 have no impact on Mbv.

In this equation system, Inst_own has positive and significant impact on both Ibd_ta and Div.

< Insert Table 6 here >

Tables 7 and 8 present the results of the nonlinear 3SLS estimates for the equation system that develops model from equations in Table 6. There are nonlinear relationship between inst_own and Mbv. Tables 7 and 8 provide consistent results in both significance and sign of parameter estimates for all other variables. Tables 7 and 8 report the cubic and quartic parameter estimates for Inst_own, respectively. Column 1 in Table 8 shows that there is M-shaped relationship between Inst_own and Mbv as predicted. These results provide evidences that support entrenchment hypothesis.

There is hyperinflation of parameters estimated using cubic and quartic for Inst_own in the 3SLS system equation. This study also estimates parameters cubic and quartic for Inst_own using reduced form of market value. The magnitudes of parameters for Inst_own are in range -5.7307 to 6.8072. Table 9 reports there is W-shaped relationship between Inst_own and Mbv. However all parameters estimated for Inst_own are not statistically significant.

Furthermore, Table 10 shows the Hausman specification test for simultaneous problem in the equation system. The residual value of reduced form is statistically significant at 1%.

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9 6. Conclusion

Entrenchment hypothesis explains the behavior of managerial ownership in pursuing value of firm. The hypothesis is fit for advance capital markets which are less dominated by block holders and typically have very disperse ownership structures. However, the explanation does not fit in Indonesia capital market due to disclose report statements that do not provide clearly information about the ultimate shareholders for institutional ownership.

This study develops model that explain the behavior insider institutional ownership in pursuing value of firm in Indonesia capital market. Using nonlinear 3SLS in the equation system, this study provides evidence that support entrenchment hypothesis of insider institutional ownership. The empirical model provides evidence that here is M-relationship between insider institutional ownership and firm value. The model controls the nonlinear effect of debt on firm value. The model also supports substitution hypothesis for agency control mechanism between dividend and debt policies.

Reference

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11 Table 1. Insider Ownership Structure of Nonfinancial Firms Listed

on Indonesia Stock Exchange

Year Statistic Insider Institutional Ownership Managerial Ownership

Public Ownership Total The Largest

1994 N 128 128 128 128

Mean (%) 59.73 45.54 4.37 27.05

Std. Deviation (%) 25.88 24.07 13.01 12.08

1995 N 129 129 129 129

Mean (%) 58.95 47.53 4.35 29.46

Std. Deviation (%) 24.40 27.48 12.93 14.08

1996 N 129 129 129 129

Mean (%) 59.71 50.36 3.33 30.03

Std. Deviation (%) 23.47 35.15 11.30 14.73

1997 N 129 129 129 129

Mean (%) 66.09 49.09 1.20 28.71

Std. Deviation (%) 16.46 19.66 7.04 12.65

1998 N 129 129 129 129

Mean (%) 66.70 50.35 0.45 29.82

Std. Deviation (%) 15.84 19.27 1.96 14.00

1999 N 129 129 129 129

Mean (%) 65.99 49.23 0.48 30.28

Std. Deviation (%) 16.74 19.57 2.07 14.96

2000 N 195 187 196 189

Mean (%) 65.30 49.39 1.26 30.08

Std. Deviation (%) 21.40 22.13 6.83 18.76

2001 N 200 192 201 201

Mean (%) 66.46 50.90 0.53 28.88

Std. Deviation (%) 20.79 21.12 2.13 18.60

2002 N 202 183 201 202

Mean (%) 66.49 48.84 0.48 27.97

Std. Deviation (%) 21.29 21.12 1.74 18.46

2003 N 198 160 197 196

Mean (%) 63.76 48.38 0.46 28.57

Std. Deviation (%) 22.58 21.35 1.75 19.41

2004 N 196 196 196 196

Mean (%) 65.89 46.04 0.51 26.64

Std. Deviation (%) 21.02 23.42 1.91 18.67

2005 N 198 198 198 198

Mean (%) 67.21 45.86 0.47 27.89

Std. Deviation (%) 20.64 22.12 1.89 19.61

2006 N 208 208 208 208

Mean (%) 64.63 44.16 0.53 25.21

Std. Deviation (%) 24.86 24.38 2.53 21.51

2007 N 198 198 198 198

Mean (%) 63.76 44.36 0.50 25.03

Std. Deviation (%) 25.34 23.84 2.06 21.98

2008 N 208 202 189 202

Mean (%) 64.51 47.39 1.14 23.38

Std. Deviation (%) 26.06 24.30 3.73 20.33

Total N 2576 2497 2557 2563

Mean (%) 64.59 47.64 1.17 27.70

Std. Deviation (%) 22.30 23.46 5.87 18.24

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12

Figure 2: M-shaped relationship between insider institutional ownership and firm value Firm X

Public Investors

Firm Y Firm Z

100%

100%

30%

21%

49%

Figure 1: Scheme of Insider Institutional Ownership

Ownership structure Managerial Structure

- Mr. Agus is ultimate shareholder

- Firm X and firm Z are insider instutional ownerships of PT. Y.

Mr. Agus (CEO firm Y)

β1

β 2

β 3

β 4

% Inst_Own VF

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13 Table 2. Sample and Firm Year

Year N Missing and Outlier Data

1998 155 0

1999 146 0

2000 150 4

2001 154 5

2002 153 3

2003 144 4

2004 137 4

2005 139 5

2006 126 22

2007 116 28

2008 121 20

Total 1541 95

Table 3. Descriptive Statistics of Variables

Mbv is market to book value of total capital; Ibd_ta is interest bearing debt to total assets; Div is dividend payout ratio; Inst_own is the largest institutional ownership; Roi is operating income to total assets; F_size is logarithm natural of net fixed assets; Ocf_tc is operating cash flow to total capital; B_risk is five years deviation standard of operating profit margin; M_roi is mean of five years roi; Div_dum is 1 for dividend increase and 0 for otherwise; and Frg_own is proportion of foreign institutional investor.

Variable Mean Maximum Minimum Std. Dev.

Mbv 1.3415 18.3213 -37.4937 1.6635

Ibd_ta 0.6439 8.5554 0.0059 0.6272

Div 0.1256 8.9365 -3.7034 0.5110

Inst_own 0.4833 0.9937 0.0000 0.2141

Roi 0.0737 0.7462 -1.0207 0.1244

F_size 26.0604 32.3883 7.2442 2.1246

Ocf_tc 0.0558 2.8005 -28.4153 0.8009

B_risk 0.1013 8.5691 0.0019 0.2767

Div_dum 0.2517 1.0000 0.0000 0.4342

Frg_own 0.2150 0.9827 0.0000 0.2931

M_roi 0.0734 0.5319 -5.3998 0.1714

N 1446 1446 1446 1446

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14 Table 4. Simultaneous Equation Regression for Value of Firm and Agency Control Mechanism

Three stage least square is used to estimate coefficients of parameter in the equation system. Mbv is market to book value of total capital; Div is dividend payout ratio; Ibd_ta is interest bearing debt to total assets; Inst_own is the largest institutional ownership; Roi is operating income to total assets; F_size is logarithm natural of net fixed assets;

Ocf_tc is operating cash flow to total capital; B_srisk is deviation standard of operating profit margin based five years historical data; M_roi is mean of five years Roi;

Div_dum is 1 for dividend increase and 0 for otherwise; Frg_own is proportion of foreign institutional investors;

Exogenous Variable

Endogenous Variable

1. Mbv 2. Ibd_ta 3. Div 4. Inst_own

Coef. t-value Coef. t-value Coef. t-value Coef. t-value

Intercept -8.1685 -8.3550 *** 1.7629 9.0298 *** 0.5550 3.3067 *** 0.3382 4.9562 ***

Div 2.1569 4.3719 *** -1.0515 -6.0535 *** -0.2174 -4.1581 ***

Ibd_ta 3.7181 5.7165 *** -0.3994 -6.5369 *** -0.1943 -7.8341 ***

Inst_own 5.2126 3.6265 *** -2.0611 -4.8608 *** -0.4575 -1.5792

Ocf_tc 1.2307 32.3831 ***

Roi 3.5713 3.6678 ***

F_size 0.1535 7.5700 *** 0.0104 4.5151 ***

B_risk 0.0423 1.6852 *

M_roi 0.0068 0.0561 0.0375 0.4335 0.0874 2.5803 ***

Div_dum 0.1769 5.4335 ***

Frg_own 0.0866 4.9529 ***

*, **, and *** indicate significant at 10%, 5%, and 1% level of confidence, respectively

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15 Table 5. Simultaneous Equation Regression for Value of Firm and Agency Control Mechanism

Three stage least square is used to estimate coefficients of parameter in the equation system. Mbv is market to book value of total capital; Div is dividend payout ratio; Ibd_ta is interest bearing debt to total assets; Inst_own is the largest institutional ownership; Roi is operating income to total assets; F_size is logarithm natural of net fixed assets;

Ocf_tc is operating cash flow to total capital; B_srisk is deviation standard of operating profit margin based five years historical data; M_roi is mean of five years Roi;

Div_dum is 1 for dividend increase and 0 for otherwise; Frg_own is proportion of foreign institutional investors;

Exogenous Variable

Endogenous Variable

1. Mbv 2. Ibd_ta 3. Div 4. Inst_own

Coef. t-value Coef. t-value Coef. t-value Coef. t-value

Intercept -7.2493 -7.7763 *** 0.7009 3.9671 *** 0.1835 1.7161 * -0.0373 -0.5420

Div 2.5053 4.2825 *** -1.2360 -7.8158 *** 0.0291 0.6736

Ibd_ta 4.5913 6.3034 *** -0.4316 -22.9272 *** 0.0331 3.0697 ***

Ibd_ta2 -0.3409 -2.8448 ***

Inst_own 4.8970 3.3587 *** 0.1540 0.3992 0.4087 1.8266 *

Ocf_tc 1.2141 24.7477 ***

Roi 3.1751 7.0074 ***

F_size 0.1125 3.6386 *** 0.0175 6.6749 ***

B_risk 0.4807 4.8829 ***

B_risk2 -0.0572 -4.4254 ***

M_roi -0.3245 -2.5085 ** -0.1446 -1.6522 * 0.1730 5.6236 ***

Div_dum 0.1277 4.1958 ***

Frg_own 0.1249 6.9285 ***

*, **, and *** indicate significant at 10%, 5%, and 1% level of confidence, respectively

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16 Table 6. Simultaneous Equation Regression for Value of Firm and Agency Control Mechanism

Three stage least square is used to estimate coefficients of parameter in the equation system. Mbv is market to book value of total capital; Div is dividend payout ratio; Ibd_ta is interest bearing debt to total assets; Inst_own is the largest institutional ownership; Roi is operating income to total assets; F_size is logarithm natural of net fixed assets;

Ocf_tc is operating cash flow to total capital; B_srisk is deviation standard of operating profit margin based five years historical data; M_roi is mean of five years Roi;

Div_dum is 1 for dividend increase and 0 for otherwise; Frg_own is proportion of foreign institutional investors;

Exogenous Variable

Endogenous Variable

1. Mbv 2. Ibd_ta 3. Div 4. Inst_own

Coef. t-value Coef. t-value Coef. t-value Coef. t-value

Intercept -5.7078 -7.1898*** 0.4902 9.2719*** 0.1621 4.6434*** -0.0664 -0.9450

Div 1.7878 5.0011*** -1.3672 -9.6948*** 0.1197 2.7248 ***

Ibd_ta 3.1186 8.4785*** -0.4261 -23.4984*** 0.0698 6.4576 ***

Ibd_ta2 -0.1847 -3.1102***

Inst_own 0.3720 0.1164 0.5998 6.0558*** 0.4459 7.2918***

Inst_own2 0.1620 0.0525

Ocf_tc 1.2364 32.6704***

Roi 2.7622 8.0721***

F_size 0.1715 10.7008*** 0.0172 6.4355 ***

B_risk 0.5556 5.7815***

B_risk2 -0.0644 -5.1096***

M_roi -0.2645 -2.1538** -0.0858 -1.1408 0.1566 4.5418 ***

Div_dum 0.1102 3.8536***

Frg_own

0.1335 6.8779 ***

*, **, and *** indicate significant at 10%, 5%, and 1% level of confidence, respectively

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17 Table 7. Simultaneous Equation Regression for Value of Firm and Agency Control Mechanism

Three stage least square is used to estimate coefficients of parameter in the equation system. Mbv is market to book value of total capital; Div is dividend payout ratio; Ibd_ta is interest bearing debt to total assets; Inst_own is the largest institutional ownership; Roi is operating income to total assets; F_size is logarithm natural of net fixed assets;

Ocf_tc is operating cash flow to total capital; B_srisk is deviation standard of operating profit margin based five years historical data; M_roi is mean of five years Roi;

Div_dum is 1 for dividend increase and 0 for otherwise; Frg_own is proportion of foreign institutional investors;

Exogenous Variable

Endogenous Variable

1. Mbv 2. Ibd_ta 3. Div 4. Inst_own

Coef. t-value Coef. t-value Coef. t-value Coef. t-value

Intercept -12.2658 -4.6457*** 0.3836 7.4928*** 0.0944 2.7844*** -0.0670 -0.9552

Div 2.3593 4.9042*** -1.3737 -9.7419*** 0.1717 3.8825 ***

Ibd_ta 4.6004 6.6763*** -0.4300 -23.6800*** 0.0925 8.5595 ***

Ibd_ta2 -0.3807 -3.4515***

Inst_own 49.7246 2.7228*** 0.8575 9.0104*** 0.6060 10.3232***

Inst_own2 -115.9111 -2.8708***

Inst_own3 77.4227 3.0011***

Ocf_tc 1.1878 22.7149***

Roi 3.9559 6.4111***

F_size 0.1827 8.8257*** 0.0165 6.1681 ***

B_risk 0.5034 5.2807***

B_risk2 -0.0597 -4.7804***

M_roi -0.4230 -3.3224*** -0.1728 -2.2427** 0.1637 4.6852 ***

Div_Dum 0.1079 3.7641***

Frg_own

0.1270 6.5603 ***

*, **, and *** indicate significant at 10%, 5%, and 1% level of confidence, respectively

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18 Table 8. Simultaneous Equation Regression for Value of Firm and Agency Control Mechanism

Three stage least square is used to estimate coefficients of parameter in the equation system. Mbv is market to book value of total capital; Div is dividend payout ratio; Ibd_ta is interest bearing debt to total assets; Inst_own is the largest institutional ownership; Roi is operating income to total assets; F_size is logarithm natural of net fixed assets;

Ocf_tc is operating cash flow to total capital; B_srisk is deviation standard of operating profit margin based five years historical data; M_roi is mean of five years Roi;

Div_dum is 1 for dividend increase and 0 for otherwise; Frg_own is proportion of foreign institutional investors;

Exogenous Variable

Endogenous Variable

1. Mbv 2. Ibd_ta 3. Div 4. Inst_own

Coef. t-value Coef. t-value Coef. t-value Coef. t-value

Intercept -8.6021 -5.1898*** 0.3793 7.4316*** 0.0890 2.6356*** -0.0653 -0.9315

Div 1.9824 4.9169*** -1.4080 -10.0384*** 0.1774 4.0077 ***

Ibd_ta 3.8144 7.3292*** -0.4292 -23.6312*** 0.0932 8.6228 ***

Ibd_ta2 -0.2712 -3.2683***

Inst_own 31.5886 2.1134** 0.8600 9.0825*** 0.6129 10.5033***

Inst_own2 -125.9987 -2.1764**

Inst_own3 177.6564 2.1160**

Inst_own4 -81.0347 -1.9932**

Ocf_tc 1.2313 28.7198***

Roi 3.0304 7.5393***

F_size 0.2028 9.4401*** 0.0164 6.1353 ***

B_risk 0.5141 5.3787***

B_risk2 -0.0614 -4.9201***

M_roi -0.3342 -2.7512*** -0.1352 -1.7987* 0.1578 4.5208 ***

Div_dum 0.1026 3.5900***

Frg_own

0.1266 6.5309 ***

*, **, and *** indicate significant at 10%, 5%, and 1% level of confidence, respectively

Referensi

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