By Cheng Few Lee
"Advances in Quantitative research of Finance and Accounting, New sequence" (AQAFANS) is a continuation (with new gains) of the equally titled booklet sequence that used to be formerly released through JAI Press from 1991. AQAFANS is an annual e-book designed to disseminate advancements within the quantitative research of finance and accounting. it's a discussion board for statistical and quantitative analyses of concerns in finance and accounting, in addition to functions of quantitative tips on how to difficulties in monetary administration, monetary accounting and enterprise administration. the target is to advertise interplay among educational examine in finance and accounting, utilized learn within the monetary neighborhood, and the accounting career.
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Extra resources for Advances in Quantitative Analysis of Finance and Accounting: New Series (Advances in Quantitative Analysis of Finance and Accounting, Vol. 1)
7 From the empirical ﬁndings of this study, it is clear that scientiﬁc information concerning knowledge spillovers could sharpen investors’ perception about the on-going values created by ﬁrms’ innovative activities. Consequently, strategic R&D activities, such as technology transfers, research collaborations, licensing agreements, and the like, would be effective ways to increase the market values of high-tech ﬁrms. To this end, the measures for knowledge spillovers devised in this study, when used in conjunction with other measures 7 For instance, let TRAR (i, j, t) be the “true” amount of intraindustry spillovers.
604 TRA(i, j, t), TER(i, j, t) and INT(i, j, t) are intraindustry, interindustry and internal spillovers received by ﬁrm i (which belongs to industry j). The sampling period runs from 1983–1997. The total number of ﬁrms is 64. For comparison purpose, these spillovers are all normalized by total spillovers [TBC(i, j, t)] such that TRA*(i, j, t) + TER∗ (i, j, t) + INT∗ (i, j, t) = 1. The means of TRA*(i, j, t), TER*(i, j, t) and INT*(i, j, t) reported by the table are average values calculated across all ﬁrms and years.
In the main model tested there are four exogenous variables, SG&A and R&D deﬂated by both total ﬁrm assets and unique audience (per-person). In any particular equation tested, however, only one of the two deﬂated sets of variables is used. The decision as to which set to use is based primarily, but not RND SGA Unique Audience SGAPP Time Per Person RNDPP Visits Per Person Pageviews Ads served Click-throughs Sales Figure 2. Path analysis diagram. Solid and dashed arrows both indicate the predicted direction of causality between any two variables.
Advances in Quantitative Analysis of Finance and Accounting: New Series (Advances in Quantitative Analysis of Finance and Accounting, Vol. 1) by Cheng Few Lee