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Does Innovation Matter to Conference Calls

.Anecdotal evidence. ????(2002/07/24)??????????????????????????,??????????????,??????????,?????????????,??????????,??????????????,???????????????????????,????????,???????,???????????????????????,,?????????,???????????????????,????????,?????????????,?????????????????????????????????,?????????

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Does Innovation Matter to Conference Calls

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    1. Does Innovation Matter to Conference Calls? .

    2. .Anecdotal evidence ????(2002/07/24)??? ???????????…????????????,????????????…??,??????????,?????????????,??????????…,??????????????,?????????…??????????????,????????,???????,???????????????????????,…,?????????,???????…????????????,????????,?????????????,???????????????????…??????????????,???????????????

    3. Inspiration Does Innovation Matter to Conference Calls? ??????????????????? H1:??????????????????????,???????????????? H2:??????????????????????(???)???,????????????????

    4. Motivation Innovation activities is increasing in Taiwan 9th in the World (China Times, 08/24/2002) Innovation: General information asymmetry Accounting-related information asymmetry GAAP: RD is fully expensed as incurred Economic asset are unrecognized as accounting assets in F/S. Information opacity: East Asian (Fan and Wong, 2001; Claessens and Fan 2003 )

    5. Motivation Disclosure is used to reduce Information asymmetry (Healy and Palepu, 2001) Forms of voluntary disclosure Disclosure in financial reports Management earnings forecast Conference calls …

    6. Motivation Conference calls Increasing popular! US: 82% (National Investor Relations Institute, 1998 ) ROC:53.8%(Corporate Asia Network, TechInsight Inc) An effective communication channel Financial information Non-financial information=> unrecognized assets

    7. Literature Frankel, Johnson, and Skinner (1999) Determinant of CC. Tasker (1998, 1999) Low quality of accounting information M/B, Sale growth rates Sunder (2002) Regulation Fair Disclosure Matsumoto (2002) Analyst accuracy Bushee et al. (2003) Open and closed CC

    8. Hypotheses: incentive H1A: more innovative firms are more likely to hold a CC than less innovative firms. H1B: more innovative firms are more likely to hold frequent CC than less innovative firms. H1C: more innovative firms are more likely to relay innovation and R&D-related information during CC.

    9. Hypotheses: information content H2A:the more innovative firms have more positive information content surrounding CC event dates. H2B: the more innovation-related information that firms provide during CC calls results in more positive information content.

    10. Research Design H1A and 1B =>(Probit &Order probit) Pr(CC_DUMMY) = a1+b1[INNOVATION]+?b2[MGTOWN]+ b3 [LDE] + b4 [LOGASSET] + b5 [DEPLAN] + b6 [MB] + b7 [PE] + ?b8 [SG] + ? (1) Pr(CC_FREQ) = a1+b1[INNOVATION]+?b2[MGTOWN]+ b3 [LDE] + b4 [LOGASSET] + b5 [DEPLAN] + b6 [MB] + b7 [PE] + ?b8 [SG] + ? (2)

    11. INNOVATION R&D patent counts (PATENT#) estimated patent value (PATENTV) a composite variable of R&D expenditures and patent counts CD_DUMMY: Dummy variable=1 if holding CC. CD_FREQ; Number of CC

    12. Research Design H1C: MRD_CALL = a1+b1[INNOVATION]+?b2[MGTOWN]+?b3[LDE]+ b4[LOGASSET]+?b5[DEPLAN]+ b6[MB]+b7[PE]+?b8[SG]+ ?b9[ELE]+? (3) MDISC = a1+b1[INNOVATION]+?b2[MGTOWN]+?b3[LDE]+ b4[LOGASSET]+?b5[DEPLAN]+ b6[MB]+b7[PE]+?b8[SG]+ ?b9[ELE]+? (4)

    13. Variables RD_CALL=> M RD_CALL Dummy variable=1 if discussing RD during CC. DISC=>MDISC Content analyst: 1~12 (Gu and Li, 2003)

    14. Research Design H2 MCAR= a1+ b1[INNOVATION]+? b2 [MRD_CALL]+ b3 [LOGASSET]+? b4[MB]+b5[SG]+ b6[ELE] +b7[INVMILL]+? (5) MCAR= a1+b1[INNOVATION]+? b2 [MDISC]+ b3 [LOGASSET]+? b4[MB]+b5[SG]+ b6[ELE] +b7[INVMILL]+? (6)

    15. Variables MCAR: mean cumulative abnormal returns INVMILL: inverse Mill's ratio (Heckman: selection bias)

    16. Sample Data Conference calls China Times’ Information Winner Series database Financial and Price data Taiwan Economic Journal Patent Asia Pacific Intellectual Property Association (APIPA) Sample period: 1997~2001 Conference calls Table 1: frequency distribution

    18. Results Descriptive Statistics Table 2 As predicted! H1A and IB Table 3 As predicted! H1 Table 4 As predicted!

    23. H2 Table 5 As predicted!

    26. Further analyses Conference Call Timing Pr(CC_DUMMY) = a1+b1[?INNOVATION] MCAR= a1+ b1[?INNOVATION] Table 6 &7=> as predicted Market expectation adjustments MCAR= a1+ b1[(1-p)INNOVATION] P is estimated from the equ. (1) Pr(CC) = a1+b1[INNOVATION]+ control variables? (1) Untabulated results: robust~~~

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