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    INTRODUCTIONREVIEW OF

    LITERATUREOBJECTIVES METHODOLOGY ANALYSIS CONCLUSIONS

    Diksha Kakkar

    Assistant Professor

    GGDSD College

    Chandigarh

    A Research Paper

    Garima Kamboj

    Assistant Professor

    GGDSD College

    Chandigarh

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    Franchise Owner(s)Price

    (USD)

    Mumbai IndiansMukesh Ambani(Reliance Industries) $ 111.9m

    Royal Challengers Bangalore Vijay Mallya (UB Group) $ 111.6 m

    DeccanChargers Deccan Chronicle(Venkat Ram Reddy) $

    107.0 mChennai Super Kings India Cements (N.Srinivasan) $ 91.90 m

    Delhi Daredevils GMR Holdings (Grandhi Mallikarjuna Rao) $ 84.0 m

    Kings XI Punjab Ness Wadia (Bombay Dyeing), Priety Zinta, Mohit

    Burman(Dabur) and Karan Paul (Apeejay

    Surendera Group)

    $ 76.0 m

    Kolkata Knight Riders Red Chillies Entertainment (Shahrukh Khan, Gauri

    Khan, Juhi Chawla and J Mehta)

    $ 75.1 m

    Rajasthan Royals Emerging Media (Lachlan Murdoch, A.R Jha and

    Suresh Chellaram), Shilpa Shetty, Raj Kundra

    $ 67.0 m

    THE IPL EVENTSPONSORS

    THE IPL TEAMOWNERS

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    Meenaghan, 1991 Sandler and Shani, 1989

    Shani and Sandler, 1996 Fama, 19

    MacKinlay, 199 Brown and Warner, 1985

    Brown and Warner, 1985 Galbraith, 1955

    Fama, Fisher, Jensen and Roll, 1969 Patelis, 199

    Agarwal and Kamakura, 1995 Thorbecke, 199

    Chaney, Devinney, andWiner, 1991 DAmico and Farka, 2 2

    Lane and Jacobson,1995 Bomfin, 2 3

    Nayyar, 1995 Craine and Martin, 2 3

    Mathur and Mathur, 1995 Ramachandran J., 1985

    Horsky and Swyngedouw, 198

    INTRODUCTIONREVIEWOF

    LITERATUREOBJECTIVES METHODOLOGY ANALYSIS CONCLUSIONS

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    LITERATUREOBJECTIVES METHODOLOGY ANALYSIS CONCLUSIONS

    Hence, we may conclude that firms are entering corporate sponsorships because :

    theyare seeking alternative media like event sponsorships to reach target markets

    (Meenaghan, 1991).

    Second, marketers are finding it more difficult to differentiate seemingly standardized

    products and services through traditional media like advertising which is characterized

    by considerable clutter (Ha, 1996).

    Third, firms are realizing that sponsorship offers a potent avenue for practicing cause

    related marketing (Varadarajan and Menon, 1988) and reaching specified target groups

    whose interests may be aligned with a firms image and overall marketing strategy

    (Javalgi, Traylor, Gross, and Lampman, 1994).

    Finally, marketers are being sensitized to the potential of special events to achieve

    wider and cost-efficient accessto customer groups.

    In such a scenario assessing the worthiness of such sponsorships becomes

    increasingly imperative.

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    INTRODUCTIONREVIEW OF

    LITERATUREOBJECTIVES METHODOLOGY ANALYSIS CONCLUSIONS

    To study the impact of Corporate sponsorship announcements of IPL.

    H1 Corporate sponsorship announcements and the team buying of IPL provided

    information to investors about expected future positive cash flows, and positivelyimpacted the market value of the announcing firm.

    To examine the stock price reactions to the information content of the

    sponsorship announcements of IPL with a view of examining the

    efficiency of Indian Stock Market.

    H02A: No average abnormal returns around Corporate sponsorship announcements

    H02B: No average abnormal returns around Team sold announcements.

    H03A: No cumulative average abnormal return around sponsorship announcement.H03Aa: No cumulative average abnormal returns for 11 days around event day.

    H03Ab: No cumulative average abnormal returns for 21 days around event day.H03Ac: No cumulative average abnormal returns for 41 days around event day.

    H03B: No cumulative average abnormal return around team sold announcement.H03Ba: No cumulative average abnormal returns for 11 days around event day.

    H03Bb: No cumulative average abnormal returns for 21 days around event day.

    H03Bc: No cumulative average abnormal returns for 41 days around event day.

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    To compare the cumulative abnormal returns of Corporate sponsors

    and team buyers in an attempt to find out who gained more

    H04 No difference in the cumulative abnormal returns of team buyers and the sponsors .H04A: No difference in the cumulative abnormal returns for 11 days around event day.

    Ho4B: No difference in the cumulative abnormal returns for 21 days around event day.

    Ho4C: No difference in the cumulative abnormal returns for 41 days around event day.

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    INTRODUCTIONREVIEW OF

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    The Sample:

    The Event Sponsors

    DLF

    Kingfis er Airlines Vodafone

    Citi Bank

    Hero Honda Set Max

    IT Pepsi

    The Team Buyers

    Reliance Group

    UB Group

    Deccan ronicle

    India ements GMR Holdings

    Bombay Dyeing Apeejay Surendera

    Group

    Red ChilliesEntertainment

    Emerging Media

    Dabur

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    The Data:

    SECONDARYSOURCES

    DATACOLLECTION

    DATACOLLECTION

    4 SponsoringCompanies

    6 Team Buyers

    SAMPLE SIZESAMPLE SIZE

    2 -2 8

    PERIODPERIOD

    S & P N X5 0 0

    IndexIndex

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    The Technique:

    The Sponsorship Announcement

    The Teams Sold Announcement

    150 days

    150 days

    Clean Period

    Clean Period Window Period

    Window Period

    13 February 2008

    20 February 2008

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    The daily returns : Rit= ln(Pit / Pit-1)

    Where, Pit and Pit-1 are respective daily prices for company i at time t and t-1

    The actual returns : Rmt = ln(It/ It-1)

    Where, It and It-1 are respectively daily index values at time t and t-1.

    The market model : Rit=EI + FI Rmt + Iit

    The abnormal return :AR

    it =R

    it - (Ei + FIR

    mt)

    Where Rit and Rmt are the period t returns on security i and the market portfolio

    respectively, Iit is the zero mean disturbance term Ei and Fi are the parameters of

    the market model.

    Ei, Fi are the market model parameter coefficients estimated from an OLSregression.

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    The average abnormal return for all firms in the sample for day t, (ARt), is calculated as :

    with the standard error of the abnormal returns for day t, SEt , given by :

    The t-statistic is computed as :

    The Cumulative Average Abnormal Return :

    it

    k

    tC !

    it

    k

    tC !

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    To study the impact of Corporate sponsorship announcements of IPL.

    H1 Corporate sponsorship announcements and the team buying of IPL providedinformation to investors about expected future positive cash flows, and positively

    impacted the market value of the announcing firm.

    AnnouncementDate

    Event

    AAR (Average

    Abnormal

    Returns)

    t Statistic

    13 Feb 2 1Sponsorship of

    IPL announced1.643234 1.6 324

    2 feb 2 1

    IPL teams

    bought by

    Corporate

    2.554196 4. 9 162

    H1 : ACCEPTED

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    13 - .5936 - .6 598 1.359148 2.18 196

    14 -1.9 243 -1.94189 - .33499 - .53 36

    15 .1242 .126 6 1. 66925 1. 11443

    16 - .6838 - .69 99 .668444 1. 2245

    1 .265 2 .2 5 - .84965 -1.36292

    18 1.459 66 1.49 49 -1.23 94 -1.985

    19 -3.1188 -3.1835 - .4985 - . 9964

    2 - . 3439 - . 3511 -1.6 255 -2.5 63

    H02A: REJECTED

    H02B: REJECTED

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    H03A: No cumulative average abnormal return around sponsorship announcement.

    H03Aa: No cumulative average abnormal returns for 11 days around event day.

    H03B: No cumulative average abnormal return around team sold announcement.H03Ba: No cumulative average abnormal returns for 11 days around event day.

    t df Sig. (2-tailed)

    Sponsorship Announcement 1. 6 1 .119

    Team Sold Announcement -9.2 1 1 .000

    H03Aa: ACCEPTED

    H03Ba: REJECTED

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    H03Ab: No cumulative average abnormal returns for 21 days around event day.

    H03Bb: No cumulative average abnormal returns for 21 days around event day.

    t df Sig. (2-tailed)

    Sponsorship Announcement 8.329 2 .

    Team Sold Announcement - .8 8 2 .

    H03Ab: REJECTED

    H03Bb: REJECTED

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    H03Ac: No cumulative average abnormal returns for 41 days around event day.

    H03Bc: No cumulative average abnormal returns for 41 days around event day.

    t df Sig. (2-tailed)

    Sponsorship Announcement-18.832 4 .

    Team Sold Announcement

    - .114 4 .

    H03Ac: REJECTED

    H03Bc: REJECTED

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    INTRODUCTIONREVIEW OF

    LITERATUREOBJECTIVES METHODOLOGY ANALYSIS CONCLUSIONS

    To compare the cumulative abnormal returns of Corporate sponsors and

    team buyers in an attempt to find out who gained more.

    H04 No difference in the cumulative abnormal returns of team buyers and the sponsors .

    H04A: No difference in the cumulative abnormal returns for 11 days around event day.

    Announceme

    nt N Mean t P (sig.)

    Sponsorship 11 .76356.828 .000

    Team Sold 11 -3.0119

    H04A: REJECTED

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    Ho4B: No difference in the cumulative abnormal returns for 21 days around event day.

    Announceme

    nt N Mean t P (sig.)

    Sponsorship 21 3.350111.313 .000

    Team Sold 21 -4.1658

    Ho4B: REJECTED

    Ho4C: No difference in the cumulative abnormal returns for 41 days around event day.

    Announceme

    nt N Mean t P (sig.)

    Sponsorship 41 -12.1634-11.89 .000

    Team Sold - .

    Ho4C: REJECTED

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    INTRODUCTIONREVIEW OF

    LITERATUREOBJECTIVES METHODOLOGY ANALYSIS CONCLUSIONS

    Sponsorship announcements lead o positive perception of future

    cash flows on the part on the shareholder.

    Overall for the days studied before and after the announcements

    revealed that the returns were negatively significant for most days.

    Further, a comparative of the sponsors of IPL and team buyers

    revealed that the overall gain of the team buying firms was

    greater than tat of the sponsors.

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    Future Research

    IPL is an important event and a lot of money has been invested

    by the corporate in this event. Three IPLs have been announced.

    A further research can be carried out to assess the impact of these sponsorships on the gains made by these firms . Further a

    longitudinal analysis of this entire event needs to be carried out to

    compute the economic worthiness of such events

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