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1. Does Innovation Matter to Conference Calls? .
2. .Anecdotal evidence ????(2002/07/24)???
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3. Inspiration Does Innovation Matter to Conference Calls?
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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~~~