Abnormal Return, Market Reaction around Rating Announcement in Tunisian Stock Market

Similar documents
Method of Payment and Target Status: Announcement Returns to Acquiring Firms in the Malaysian Market

THE VOLATILITY OF EQUITY MUTUAL FUND RETURNS

R Square Measure of Stock Synchronicity

Analysis of Moody s Bottom Rung Firms

Highlights of the Macroprudential Report for June 2018

A copy can be downloaded for personal non-commercial research or study, without prior permission or charge

UNDERPRICING AND EX ANTE UNCERTAINTY IN IPOS: EVIDENCE FROM THE TUNISIAN STOCK MARKET

Which of the following provides the most reasonable approximation to the least squares regression line? (a) y=50+10x (b) Y=50+x (d) Y=1+50x

Clearing Notice SIX x-clear Ltd

Market Opening and Stock Market Behavior: Taiwan s Experience

An Empirical Study on Stock Price Responses to the Release of the Environmental Management Ranking in Japan. Abstract

On the Style Switching Behavior of Mutual Fund Managers

Module Contact: Dr P Moffatt, ECO Copyright of the University of East Anglia Version 2

Notes are not permitted in this examination. Do not turn over until you are told to do so by the Invigilator.

Elements of Economic Analysis II Lecture VI: Industry Supply

Maturity Effect on Risk Measure in a Ratings-Based Default-Mode Model

Synergy Motivation and Target Ownership Structure: Effects on Takeover Performance

J. Basic. Appl. Sci. Res., 2(10) , , TextRoad Publication

MgtOp 215 Chapter 13 Dr. Ahn

ASSET LIQUIDITY, STOCK LIQUIDITY, AND OWNERSHIP CONCENTRATION: EVIDENCE FROM THE ASE

Competition in Hong Kong s banking industry

The Effects of Industrial Structure Change on Economic Growth in China Based on LMDI Decomposition Approach

The Role of Demographic and Psychological Differences in Future Financial and Economic Expectations

Firm fundamentals, short selling, and stock returns. Abstract

Chapter 10 Making Choices: The Method, MARR, and Multiple Attributes

Survey of Math: Chapter 22: Consumer Finance Borrowing Page 1

Earnings Management and Stock Exposure to Exchange Rate Risk

Jenee Stephens, Dave Seerattan, DeLisle Worrell Caribbean Center for Money and Finance 41 st Annual Monetary Studies Conference November 10 13, 2009

Asset Management. Country Allocation and Mutual Fund Returns

REGULATORY REFORM IN THE JAPANESE ELECTRIC POWER INDUSTRY AN EVENT STUDY ANALYSIS IAEE 2017 Conference, Singapore 20 th June 2017 Koichiro Tezuka,

Real Exchange Rate Fluctuations, Wage Stickiness and Markup Adjustments

Domestic Savings and International Capital Flows

Monetary Tightening Cycles and the Predictability of Economic Activity. by Tobias Adrian and Arturo Estrella * October 2006.

TRADING RULES IN HOUSING MARKETS WHAT CAN WE LEARN? GREG COSTELLO Curtin University of Technology

ECONOMETRICS - FINAL EXAM, 3rd YEAR (GECO & GADE)

Evaluating Performance

FORD MOTOR CREDIT COMPANY SUGGESTED ANSWERS. Richard M. Levich. New York University Stern School of Business. Revised, February 1999

Kent Academic Repository

Financial Crisis and Foreign Exchange Exposure of Korean Exporting Firms

Final Exam. 7. (10 points) Please state whether each of the following statements is true or false. No explanation needed.

Chapter 5 Bonds, Bond Prices and the Determination of Interest Rates

Relative Influence of Push Attributes and Pull Factors on Corporate Debt Issuance

Networks in Finance and Marketing I

Risk, return and stock performance measures

Spatial Variations in Covariates on Marriage and Marital Fertility: Geographically Weighted Regression Analyses in Japan

FM303. CHAPTERS COVERED : CHAPTERS 5, 8 and 9. LEARNER GUIDE : UNITS 1, 2 and 3.1 to 3.3. DUE DATE : 3:00 p.m. 19 MARCH 2013

ECONOMIC ANALYSIS OF FISHERY IN THE NORTHERN PERSIAN GULF

Network Analytics in Finance

NYSE Specialists Participation in the Posted Quotes

Family control and dilution in mergers

Valuation of takeover targets and auditor quality

Conditional beta capital asset pricing model (CAPM) and duration dependence tests

Call & Put Butterfly Spreads Test of SET50 Index Options Market Efficiency and SET50 Index Options Contract Adjustment

F FJY012 GK JM7367

Evaluation of the Factors Affecting Initial Public offering Underpricing by Newly-accepted Companies into Tehran Stock Exchange

Empirical study on initial public offering (IPO) underpricing and long-run performance: Evidence from China s A-share market

3/3/2014. CDS M Phil Econometrics. Vijayamohanan Pillai N. Truncated standard normal distribution for a = 0.5, 0, and 0.5. CDS Mphil Econometrics

SYSTEMATIC LIQUIDITY, CHARACTERISTIC LIQUIDITY AND ASSET PRICING. Duong Nguyen* Tribhuvan N. Puri*

An Event Study of Swedish Banks Stock Price Reactions to the Baltic Crisis

A MODEL OF COMPETITION AMONG TELECOMMUNICATION SERVICE PROVIDERS BASED ON REPEATED GAME

Anatomy of a Government Intervention in Index Stocks

A Multinomial Logit Based Evaluation of the Behavior of the Life Insureds in Romania

The Stock Market Reaction to Extreme Events: The Evidence from Turkey

REFINITIV INDICES PRIVATE EQUITY BUYOUT INDEX METHODOLOGY

Conditional Beta Capital Asset Pricing Model (CAPM) and Duration Dependence Tests

arxiv: v1 [q-fin.pm] 13 Feb 2018

The Initial Going-concern of Delisting Firms: An Application of Proportional Hazard Model

Do not Fear the Fear Index: Evidence from US, UK and European Markets

A new indicator for the cost of borrowing in the euro area

Foreign Exchange Exposures, Financial and Operational Hedge Strategies of Taiwan Firms

Understanding price volatility in electricity markets

Labor Market Transitions in Peru

The performance of imbalance-based trading strategy on tender offer announcement day

The Short and Long-Run Financial Impact of Corporate Outsourcing Transactions. Ning Gao. B.A. in Accounting, Ren Min University, 1998

The effect of pension accounting on corporate pension asset allocation. Citation Review Of Accounting Studies, 2010, v. 15 n. 2, p.

Testing the weak efficient market hypothesis using Bangladeshi panel data

The study of relationship between shareholder values added (sva) and different criteria of the risk adjusted return

An Examination on the Effects of Different Financing Methods on the Stock Yield and Price in the Companies Registered in Tehran Stock Exchange

Secured Debt and Corporate Performance: Evidence From REITs

Testing Benjamin Graham s Net Current Asset Value Strategy in London

A survey on the relationship between ownership structure and dividend policy in Tehran stock exchange

The Impact of Intellectual capital on Financial Reporting Quality: An Evidence from Tehran Stock Exchange

The Profitability of Momentum Trading Strategies in the Irish Equity Market

ACADEMIC ARTICLES ON THE TESTS OF THE CAPM

EARNINGS MANAGEMENT IN NON-PROFIT HOSPITALS - EVIDENCE FROM TAIWAN

Ownership Concentration, Managerial Ownership and Firm Performance: Evidence from Turkey

c slope = -(1+i)/(1+π 2 ) MRS (between consumption in consecutive time periods) price ratio (across consecutive time periods)

Share Repurchase Behavior of Japanese Banks

Competitive Conditions in the Turkish Non-Life Insurance Industry

DISCLOSURE OF INDIVIDUALIZED EXECUTIVE COMPENSATION FIGURES: AN EMPIRICAL ANALYSIS OF COMPLIANCE WITH THE GERMAN CORPORATE GOVERNANCE CODE

Managing EPS Through Accelerated Share Repurchases: Compensation Versus Capital Market Incentives

A Comparison of Statistical Methods in Interrupted Time Series Analysis to Estimate an Intervention Effect

Affiliated Mutual Funds and the Allocation of Initial Public Offerings

Diversified Portfolio: Evidence from Bombay Stock Exchange (BSE) in India

Research Paper 347 March Capturing the Impact of Latent Industry-Wide Shocks with Dynamic Panel Model

Spring 2010 Social Sciences 7418 University of Wisconsin-Madison. The Financial and Economic Crisis Interpreted in a CC-LM Model

Accounting discretion of banks during a financial crisis

Financial Risk Management in Portfolio Optimization with Lower Partial Moment

The Analysis of Net Position Development and the Comparison with GDP Development for Selected Countries of European Union

Secured Debt and Corporate Performance: Evidence From REITs

Transcription:

Internatonal Journal of Economcs and Fnance; Vol. 8, No. 7; 2016 ISSN 1916-971X E-ISSN 1916-9728 Publshed by Canadan Center of Scence and Educaton Abnormal Return, Market Reacton around Ratng Announcement n Tunsan Stock Market Wssem Daadaa 1 1 Laboratory of Economcs and Fnance Engneerng LIFE, Unversty of El Manar, FSEG Tuns, Tunsa Correspondence: Wssem Daadaa, Laboratory of Economcs and Fnance Engneerng LIFE, Unversty of El Manar, FSEG Tuns, Tunsa. E-mal: Wssem.daadaa@yahoo.fr Receved: July 21, 2015 Accepted: May 27, 2016 Onlne Publshed: June 25, 2016 do:10.5539/jef.v8n7p322 URL: http://dx.do.org/10.5539/jef.v8n7p322 Abstract Ths paper tests the market reacton and the stock prce change around ratng announcements n Tunsan stock exchange usng the event study methodology. We examne the mpact of the change ratng announcement on stock return frms from 2006 to 2010. The results show that only the negatve ratng wth downgrades note whch s assocated to negatve abnormal return. The market does not seem to be nterested upgrades ratng on the Tunsan market. The negatve reacton of the market can be explaned by leverage change, Book to Market rato and the level of the ratng fall. Keywords: ratng, abnormal return, event study 1. Introducton The number of ratng agences ncreases n ths decade; we estmate more than 100 ratng agences n the world. The role assumed by theses agences become more and more mportant and thers announcements consttutes an event that affect the market reacton and stock frm return. Analyzng the effect of ratng agences decson s an mportant event, essentally, to small markets. The ratng announcement has solcted a reach lterature n events studes lteratures. The ratng agences evaluate frms usng dfferent crtera and standard processes, and thus thers decsons can transmt a sgnal to the market. Lee-Hsen Pana et al. (2015) presents dfferent ndcators crtera used to evaluate frms: corporate transparency, frm performance and classfy frms n fve classes: the hghest corporate transparency s notfed to an A++ ratng, frm wth the lowest corporate transparency s C- ratng. The fve classes of ratng s: (1) complance wth the mandatory nformaton dsclosures, (2) tmelness of nformaton reportng, (3) dsclosure of fnancal forecast, (4) dsclosure of annual report, and (5) dsclosure of corporate webste. Before notfcaton announcements, ratng agences collect fnancal nformaton from publc and prvate sources. The change notfcaton announcement transmts new nformaton to the market; as a result, every degradaton, downgrades and changes should have a negatve effect on stock prces. Smlarly, put under postve survellance, upward revsons and postve changes should result mprovement value. Thus, the mpact of the company s notfcaton varaton on the share stock prce can be explaned by the effect of the new nformaton announced to the market, any change n the ratng s lkely to affect the fnancal captal cost, ther proftablty, and consequently ther market value. Smlarly, the company s notfcaton change can nfluence frm s growth and ther future vale. Researches n the subject of ratng have ncreasngly n vogue, but, the majorty of these studes were conducted n developed markets. Rare papers that have tested market reacton n emergng market. Ther reacton followng ratng announcements was always gnored, t must not also forget that the culture of usng ratng agences s not developed enough and so ths type of work allows, among others, to break the reluctance to seek ratng. The Tunsan captal market offers an nterestng area to test the ratng agences decson. We test the market reacton to ratng agency announcements by measurng stock abnormal return. The market characterstcs and the lack of pror studes motvate ths research and form the bass for ts contrbuton to the research lterature. Ths paper evaluates the nformaton value of Tunsan stock market after ratng agences announcements. The database of ths study ncludes ratng announcements for the perod 1 January 2000 to 31 December 2010, of Tunsan ratng agency. We use event study methodology to test stock abnormal returns around announcement date. 322

www.ccsenet.org/jef Internatonal Journal of Economcs and Fnance Vol. 8, No. 7; 2016 After a lterature revew of the man works that have approached the subject of ratng n Secton 2, we present our sample and methodology n Secton 3, Secton 4 wll be devoted to the presentaton of the results found, secton 5 explans the causes of the market reacton to the ratng announcement and we conclude n secton6. 2. Lterature Revew Reach lterature test the effects of ratng announcement to stock return and market reacton but results are mtgates. In developed market the majorty of theses papers conclude the exstence of an abnormal stock return markets to negatve ratng announcement (downgrades and negatve revew) but not to postve announcements (upgrades and postve revews ratng). Lterature n ths area s rch, Dchev and Potrosk (2001) has prmarly assessed the mpact of ratngs changes on the bond and stock markets, they fnds that ratng downgrades affect stock return and market reacton, but ratng upgrades do not carry the same nformatve value. Accordng to Ederngton and Goh (1998) most of the ratngs downgrades are preceded by declnes n frm ncome and analysts' forecasts. Goh and Ederngton (1993) demonstrate that the ratng announcement effect can be explaned by the frm purpose. Announcements ratngs drven by changes n the frm fnancal perspectve, such as the possble ncome growth or debt ncrease, can have an mpact on the stock market. Klger and Sarg (2000) fnd that the nformaton publshed by the ratng antcpated by the market, has no effect on the frm value, they add that the stock prce varaton depends by unexpected changes ratng. Elayan et al. (2003), analyzng the effect of ratng announcement n New-Zealand ratng, found abnormal stock return to postve announcements and suggested ths reacton depend wth corporate sze. However, Abad-Romero and Robles-Fernandez (2006) n Spansh market: consder the absence of reacton to downgrades and negatve announcement to upgrades. Koresh and Gall (2014) fnd that the market antcpates negatve decson pror to the announcement date. Wengne et al (2015) examne the mpact of ratng events for the perod 2004-2011. The results show that both downgrades and mprovements ratngs have an mpact on the spread around announcement date. To explan the effect of ratng on stock prces, dfferent hypothess are presented: nformaton content hypothess, the sgnalng hypothess and wealth redstrbuton hypothess. Zama and McCarthy (1988) analyzes nformaton content hypothess, they consders that the ratng agences provde addtonal nformaton to the market about frm value. Ederngton et al. (1989) suggest that ratngs have greater nformaton content than the market stock prce snce t ncludes prvate nformaton collected by the ratng agences. Akhgbe et al. (1997) test sgnalng hypothess, they consder that a ratng change can be seen as a sgnal to the market about future profts, opportunty and cashes flows of frms. The hypothess of wealth redstrbuton as defned by Zama and McCarthy (1988), fnd the exstence of a conflct of nterest between bondholders and shareholders. Thus, lowerng the ratng reduces the bond prce, whch s exproprated from bondholders to shareholders and then ncreasng the share prce. Romero and Fernandez (2006) ndcate that ratngs downgrades have no effect n the stock prce but ratng upgrade announcement generates sgnfcant mpact on the Spansh market. They explan ths behavor by the wealth redstrbuton hypothess. Stener and Henke (2001) conclude that the factors explanng the market reacton s Downgrades nto speculatve class. Gropp and Rchards (2001) analyzes ratng change announcements on European banks. They attrbute the effect on stock prce to the Expected announcements hypothess. 3. Data and Emprcal Methodology 3.1 Data Our database ncludes 67 ratng announcements for the perod between 1997 to, 2012, collected from Tunsan Stock Exchange (TSE), classfed as 33 negatve ratng and 34 postve ratng. In Tunsa there s only one ratng company that evaluates Tunsan frms: Maghreb Ratng. We consder negatve ratng announcements n the cases of: downgrade note, negatve revew, downgrade and negatve revew; negatve outlook revson or current ratng confrmaton. Furthermore, ratng agences, n most cases, confrm the latter notaton. We consdered any confrmaton followng degradaton as a negatve ratng. We classfed the postve ratng announcements to the followng categores: upgrade; postve revew; upgrade and postve revew; postve outlook revson or current ratng confrmaton, endng a negatve revew. 3.2 Econometrc Model To test the mpact of announcements ratngs on the stock return, we follow Fama et al. (1969) procedures and termnology. We calculate daly abnormal returns and cumulatve abnormal returns on an event perod that begns twenty days before the announcement to twenty days after ths day. 323

www.ccsenet.org/jef Internatonal Journal of Economcs and Fnance Vol. 8, No. 7; 2016 In ths study, we analyze the mpact of ratngs change announcements on the underlyng ssuer s share prce. The estmaton wndow, runs from 60 tradng days before the announcement date, t=0, to 10 days before the announcement date. The event wndow runs from t =-10 to t=+10 (ten tradng date after announcement date). To test the effect of ratngs change announcements to the stock prce, we calculate daly abnormal returns and cumulatve abnormal returns durng the event wndow. To calculate abnormal returns, we use the market model and we calculate normal returns n the perod before event ( sxty days before announcement to ten days before ths day). We use the market model to calculate the estmator: follow:, et for each share, ths model was estmated as t R t R (1) mt t E( t ) = 0 and Var ( t ) =σ2 R and R m are the day returns of equty and the market ndex. We calculate the abnormal return on day t for share (RA t ) as follow: RA R ˆ ˆ R ; =1 N (2) RA t : abnormal return on day t for share. t=0 s the announcement day. t t mt E ( RAˆ t ) = RA t = t t mt 2 2 and V ( ˆ ) RA t R (3) To test the sgnfcance of the average resduals we uses student test Tpar, the cross (Note 1) test, and sgne test T sgne. We calculate the cumulatve abnormal return CAR n the wndows of t=-60 to t =-10. 4. Emprcal Result The abnormal returns around ratng announcement are presented n Tables 1 to 4. In Tables 1 and 2, the sample s classfed n fnancals and non fnancals companes for negatve (n Table 1) and postve ratng (Table 2). We fnd that the stock prce reacton to postve and negatve ratng announcement s more mportant and sgnfcant for fnancals companes. The market seems to be more nterested n the ratng announcement of Tunsans banks. Table 3 present the abnormal return of stocks around announcement day of negatve ratng, the result s negatve and statstcally sgnfcant (-0.48%) n the announcement day (t=0). We fnd sgnfcant abnormal return responses followng downgrades ratng announcements. We consder that downgrades generate stronger and more predctable results than upgrades. We conclude then, the negatve and sgnfcant stock prce reacton to negatve ratng announcement. The negatve reacton perssts and these downward trends contnue sx days after announcement day (graph n 1). Ratng downgrades announcement generate stronger and more predctable results than upgrades, whch s n lne wth the majorty of the fnancal lterature dealng wth ratng changes. Generally, the ratng agency publshes the future prospects for long-term, and pror changng notfcaton, decdes to put frm under survellance. Ths procedure helps nvestors to antcpate the ratng degradaton and react even before the publc announcement, ths explan the week market reacton to the negatve ratng announcement compared to other fnancal market. The decson to revse the ratng down s seen as a bad sgnal by nvestors. They are aware about the future frm performance and react, then, before the event date. Generally, when the nformaton s made publc, all nvestors are nformed and the event loses ts nformaton relevance. Accordng to the table (3), the postve ratng announcement does not nfluence the abnormal returns. Ths result corroborates those of Barron et al. (1997), L et al. (2004) but contradcted those of Elayan et al. (2003) and Creghton et al (2006) who found a sgnfcant response after postve negatve ratngs announcements. In Tunsan market, the postve ratng announcement s not consdered by nvestors as favourable nformaton. Consequently, the upgradng ratng may reflect a prudent corporate behavour. The negatve reacton to downgrades ratng leads us to search the factors that have caused ths abnormal return. Varous varables are presented to explan ths reacton. 324

www.ccsenet.org/jef Internatonal Journal of Economcs and Fnance Vol. 8, No. 7; 2016 Table 1. Cumulatve abnormal return to downgrade ratng announcement Sample 1: Fnancal Companes Sample 2: Non Fnancals Companes Event perod (0;20) (-20;20) (-1;1) (-5;5) (0;20) (-20;20) (-1;1) (-5;5) Mean 0.001408 0.002087-0.004447 8.54E-05-0.000317-0.000734 0.000496-0.001194 Medam 0.001769 0.001988 0.000589 0.000327 0.000326-0.000369-0.000580 0.000678 STD 0.004483 0.007304 0.028114 0.005712 0.003079 0.003365 0.015090 0.005908 t-test 2.486522 2.092241 0.528580 0.868522 0.676717 0.844356 0.054444 0.888038 p-value 0.0174 0.0432 0.6002 0.3906 0.5051 0.4068 0.9570 0.3833 test wlcoxon 2.907885 2.366883 1.257829 1.582430 0.256410 0.256410 0.358974 0.000000 p-value 0.0036 0.0179 0.2085 0.1136 0.7976 0.7976 0.7196 1.0000 Table 2. Cumulatve abnormal return to upgrade ratng announcement Abnormal return: Fnancals companes Abnormal return: Non Fnancals companes Event perod (0;20) (-20;20) (-1;1) (-5;5) (0;20) (-20;20) (-1;1) (-5;5) Mean 0.000368 0.001455 0.009396-0.000809-0.000637 0.001854 0.008687-0.000398 Medam 0.000178 0.000916 0.002406-0.000500-0.002015 0.001019 8.50E-06-3.55E-05 STD 0.002840 0.002415 0.018271 0.005044 0.004359 0.004085 0.024031 0.007953 t-test 1.077323 1.423692 2.502963 0.414889 0.041970 1.543193 1.317036 0.087082 p-value 0.2875 0.1619 0.0163 0.6803 0.9669 0.1370 0.2014 0.9314 test wlcoxon 1.279258 3.321377 2.288581 0.035209 1.010363 0.837158 0.144338 0.202073 p-value 0.2008 0.0009 0.0221 0.9719 0.3123 0.4025 0.8852 0.8399 Table 3. Abnormal return around negatve ratng RAM RAC T1 student test T2 rang test T3 sgn test -5 0,000-0,001 0,235 0,870 0,360-4 0,001 0,000 0,612 0,174-0,627-3 0,002 0,003 0,960 1,914 0,997-2 -0,001 0,001-0,651 0,174-1,107-1 0,002 0,003 0,764 0,870-0,246 0-0,004* -0,001-1,681-0.522-1,575 1-0,000-0,002-0,287 0,174-0,480 2-0,003-0,005-1,049 0,522-0,984 3-0,001-0,006-0,490 0,870-1,194 4-0,000-0,006-0,061-0,522-1,034 5 0,001-0,005 0,625 1,218 0,590 RAM: Average abnorma return, RAC: cumulatve abnormal return, T1: student test; T2: rang test; T3: sgn test. * sgnfcatvty to 10%; ** sgnfcatvty to 5%. Table 4. Abnormal return around postve ratng RAM RAC T1 student test T2 rang test T3sgn test -5-0,027-0,153-1,556 0,000-1,854-4 -0,032-0,185-1,823 0,000-1,576-3 -0,038-0,223-2,161-0,342-0,015-2 -0,045-0,269-2,584-0,685-1,669-1 -0,045-0,315-2,564 0,000-1,561 0-0,042-0,358-2,414 1,371 1,391 1-0,037-0,395-2,098 1,028 0,973 2-0,036-0,432-2,071 1,371 0,772 3-0,037-0,470-2,135-1,028-1,190 4-0,039-0,509-2,228 1,028 0,108 5-0,037-0,547-2,114 1,028 0,046 RAM: Average abnorma return, RAC: cumulatve abnormal return, T1: student test; T2: rang test; T3: sgn test. 325

www.ccsenet.org/jef Internatonal Journal of Economcs and Fnance Vol. 8, No. 7; 2016 0.025 0.020 0.015 0.010 0.005 0.000-20 -10 0 10 20-0.005-0.010 Fgure 1. Stock prce reacton to downgrade ratng announcement Fgure 1 shows slghtly postve pre downgrade abnormal return, ths reacton s followed by sharp negatve reacton wth sharp negatve CARs followng the ratng downgrades announcements. Then, the pattern reverses agan and we the abnormal return ncrease 7 days after announcement. The results from upgrade announcements were not statstcally sgnfcant. 5. Factors Explaned Market Reacton Fnancal lterature analyzng ratng effect on stock market concludes that the sze (total assets or total sales) of an ssuer s an mportant factor explanng the market reacton. Others authors use total assets, leverage, proftablty Return on assets ROA as ndependent varables. Snce ratng process between fnancal and non-fnancal frms s dfferent, we utlze a dummy varable to dstngush them. FN s 1 f the ratng changes apply to fnancals frms. The effect on stock prce at announcement day can also explaned by frequency of downgrades, upgrades or f the frm s putted on survellance. Make to negatve survellance transmt a sgnal to the market that the frm s n dffculty and prepare the downgrade. The market can then expect the future ratng announcement. Hence we defne MS as dummy varable equal to one f company s make to survellance n the precedng ratng and 0 f not. We also test the hypothess that equty markets wll react more strongly to ratng change announcements for frms wth speculatve grade ratngs than to those wth nvestment grade ratngs. We consder DR dummy varable equal to 1 f the ratng change s from speculatve grade note (BB+/BB1 or lower) and 0 otherwse. Book to market raton BTM measure the market performance at the announcement date of ratng. Independents varables Expected Sgns Sze (Log VM) (+) Leverage (ED) (-) BTM (-) Dowongrade (DR) (-) Make on survellance (MS) (-) Fnancals companes (FN) (-) To explan the market reacton to the negatve announcement we use model follow: CAR 0 1 VM ) 2ED 3BTM 4FN 5DR 6 log( MS (4) In ths model DR, FN et MS are bnary s varables: FN=1; f fnancal frm and 0 f not DR =1 f the ratng note s low then (3B) and 0 f not, MS=1 f the announcement proceeded by make on negatve survellance. VM: Frm sze measured by log of the market value of equty; ED: frm leverage: the debt rato, measured by total debt to book value of assets; BTM: s the book to market rato. 326

www.ccsenet.org/jef Internatonal Journal of Economcs and Fnance Vol. 8, No. 7; 2016 Table 5. Factors explaned market reacton Varables Coeffcent Std. Error t-statstc Prob. C -0.009452 0.005581-1.693590 0.1023 VM 0.002043 0.001566 1.304954 0.2033 ED 0.008940* 0.005245 1.704592 0.1002 BTM -0.000375** 0.000177-2.119326 0.0438 DR -8.85E-12* 5.12E-12-1.728938 0.0957 MS 0.000484 0.001606 0.301304 0.7656 FN -0.000268 0.001575-0.170269 0.8661 R-squared 0.311753 Adjusted R-squared 0.152927 FN=1; f fnancal frm and 0 f not; DR =1 f the notfcaton s low then (3B) and 0 f not, MS=1 f the announcement s related to make on negatve survellance.vm: frm sze measured by log of the market value, ED: frm leverage: the debt rato, measured by total debt to book value of assets. (BTM) s the book to market rato. From the Table 5, we can conclude that the negatve abnormal return around announcement can be explaned by frm leverage, proftablty and the level of downgrades. For ratng downgrades, we confrm that ratng downgrades for speculatve grade frms have more severe prce reactons than those for nvestment grade frms. The results show that the debt rato s a sgnfcant varable and that the relatonshp between debt rato and the abnormal return s postve. Ths result confrms L et al. (2004) and L et al. (2006), who concluded that the debt rato s correlated to the ratng downgrade, expressng the deteroraton of the company's fnancal structure. Our result demonstrates that frm sze s not sgnfcant and does not explan the market reacton to the announcement. Ths corroborates the results of L et al. (2004) that fnd no effect of sze on the abnormal return. Note also that the rato Book to Market has a sgnfcant effect and can explan the market reacton at the announcement date. We conclude also the negatve mpact of BTM on the abnormal return followng announcements dates. Investors beleve that the company's value s less than the book assets after negatves ratngs announcements. The level ratng downgrade has a strong sgnfcance explanng the abnormal return, ths varables s correlated to the level of lowest ratng (below BBB). Ths results confrms those of Holthausen and Leftwch (1986), Joron and Zhang (2005) who consders that the downgrade from one class to another are assocated wth sgnfcant negatve abnormal return. Smlarly, Creghton et al. (2006) show that n the case of the downgrade, ad effects are greater. 6. Concluson In ths paper we tested the mpact of ratng changes on stock return n of Tunsan stock market. We appled the event study methodology and used two nonparametrc tests and student test: test and sgn rank test. Our results demonstrate that the market only react to degradatons announcement of ratng. When the announcement s related to mprovement notfcaton, there s not an abnormal return around ths date. We can conclude that the market was antcpated the event before hs announcement, ths nformaton was used pror to ts publc dvulgaton. To explan ths market reacton to negatve ratng announcement, abnormal return s tested by dfferent varables related to characterstcs of frm, the operaton and fnancal market. We have dentfed sgnfcant effects for the debt rato, the rato Book to Market and level of downgrade. These results corroborate studes L et al. (2004), Holthausen and Leftwch (1986), Joron and Zhang (2005) and Creghton et al. (2006). It appears that the announcement of such nformaton on the stuaton of the company led to a negatve mpact on stock prces. Ths reacton occurs on the day of the announcement and contnued several days later. References Abad, R., & Robles, F. (2006). Rsk and Return Around Bond Ratng Changes: New Evdence From the Spansh Stock Market. Journal of Busness Fnance & Accountng, 33(5-6), 885-908. http://dx.do.org/10.1111/j.1468-5957.2006.00608.x Akhgbe, A., Madura, J., & Whyte, A. M. (1997). Intra-ndustry effects of bond ratng adjustments. The Journal 327

www.ccsenet.org/jef Internatonal Journal of Economcs and Fnance Vol. 8, No. 7; 2016 of Fnancal Research, 20(4), 545-561. http://dx.do.org/10.1111/j.1475-6803.1997.tb00265.x Andreas, W., Hans-Peter, B., & Johannes, S. (2015). The mpact of credt ratng announcements on corporate CDS markets Are ntra-ndustry effects observable? Journal of Economcs and Busness, 78, 79-91. http://dx.do.org/10.1016/j.jeconbus.2014.11.003 Barron, M., Clare, A., & Thomas, S. (1997). The effect of bond ratng changes and news ratngs on UK stock returns. Journal of Busness Fnance & Accountng, 24, 497-509. http://dx.do.org/10.1111/1468-5957.00117 Creghton, A., Gower, L., & Rchards, A. (2006). The mpact of ratng changes n Australan fnancal markets. Pacfc-Basn Fnance n 13, jullet. Dchev, & Potrosk. (2001). The Long-Run Stock Returns Followng Bond Ratngs Changes. Journal of Fnance, 56(1), 173-203. http://dx.do.org/10.1111/0022-1082.00322 Ederngton, L. H., & Goh, J. C. (1998). Bond ratng agences and stock analysts: Who knows what when? Journal of Fnance and Quanttatve Analyss, 33(4), 569-585. http://dx.do.org/10.2307/2331132 Elayan, F., Hsu, W., Meyer, & Fall. (2003). The nformaton content of credt ratng announcements for share prces n a small market. Journal of Economcs and Fnance, 27(3), 337-356. http://dx.do.org/10.1007/bf02761570 Fama, E. F., Fsher, L., Jensen, M. C., & Roll, R. (1969). The adjustment of stock prces to new nformaton. Internatonal Economc Revew, 1-21. http://dx.do.org/10.2307/2525569 Goh, J., & Ederngton, L. (1993). Is a bond ratng downgrade bad news, good news, or no news for stockholders? Journal of Fnance, 48. http://dx.do.org/10.1111/j.1540-6261.1993.tb05139.x Gropp, & Rchards. (2001). Ratng Agency Actons and the Prcng of Debt and Equty of European Banks: What Can We Infer About Prvate Sector Montorng of Bank Soundness? ECB Workng Paper No. 76. http://dx.do.org/10.1111/1468-0300.00064 Guttler, A., & Behr, P. (2005). The stock market reacton to changes of unsolcted ratngs. Workng paper. http://dx.do.org/10.2139/ssrn.724881 Klger, D., & Sarg, O. (2000). The nformaton value of bond ratngs. Journal of Fnance, 55(6). http://dx.do.org/10.1111/0022-1082.00311 Koresh, & Gall. (2014). The nformatve value of credt ratng announcements n small markets. Journal of Fnancal Stablty, 14, 66-80. http://dx.do.org/10.1016/j.jfs.2014.08.001 Lee-Hsen Pana et al. (2015). Reactons of Japanese markets to changes n credt ratngs by global and local agences. Journal of Bankng & Fnance, 56-70. L, V., & Charoenwong. (2004). Market reacton to credt ratng announcements n the Irsh stock market. Workng paper. L, Q., Yang, J., Cheng, H., & Young-Jae, C. (2005). The relatonshp between stock returns and volatlty n nternatonal stock markets. Journal of Emprcal Fnance, 12, 650-665. http://dx.do.org/10.1016/j.jempfn.2005.03.001 L, J., Shn, Y., & Moore, W. (2006). Reacton of Japanese market to changes n credt ratng by global and local agences. Journal of Bankng & Fnance March, 30(3), 1007-1021. http://dx.do.org/10.1016/j.jbankfn.2005.05.026 Matolcsy, Z. P., & Lanto, T. (1995). The ncremental nformaton content of bond ratng revsons: The Australan evdence. Journal of Bankng and Fnance, 19, 891-902. http://dx.do.org/10.1016/0378-4266(94)00082-e Myajma, H., & Yshay, Y. (2007). Japan s bankng crss: An event-study perspectve. Journal of Bankng & Fnance, 31, 2866-2885. http://dx.do.org/10.1016/j.jbankfn.2007.03.006 Norden, L., & Weber, M. (2004). Informatonal effcency of credt default swap and stock markets: The mpact of credt ratng announcements. Journal of Bankng & Fnance, 28, 2813-2843. http://dx.do.org/10.1016/j.jbankfn.2004.06.011 Romero, & Fernandez. (2006). Rsk and returns around bond ratng changes: New evdence from the Spansh stock market. Journal of Busness & Accountng, 33(5-6), 885-908. http://dx.do.org/10.1111/j.1468-5957.2006.00608.x 328

www.ccsenet.org/jef Internatonal Journal of Economcs and Fnance Vol. 8, No. 7; 2016 Stener, M., & Henke, V. G. (2001). Event study concernng nternatonal bond prce effects of credt ratng actons. Internatonal Journal of Fnance and Economcs, 6, 139-157. http://dx.do.org/10.1002/jfe.148 Zama, J. K., & McCarthy, J. (1988). The mpact of bond ratng changes on common stocks and bonds: Tests of the wealth redstrbuton hypothess. The Fnancal Revew, 23(4). http://dx.do.org/10.1111/j.1540-6288.1988.tb01283.x Note Note 1. T cross = RAM/SRAM SRAM t 1 N 1 N 1 ( RA, t RAM t ) 2 Copyrghts Copyrght for ths artcle s retaned by the author(s), wth frst publcaton rghts granted to the journal. Ths s an open-access artcle dstrbuted under the terms and condtons of the Creatve Commons Attrbuton lcense (http://creatvecommons.org/lcenses/by/3.0/). 329