By Cheng Few Lee
"Advances in Quantitative research of Finance and Accounting, New sequence" (AQAFANS) is a continuation (with new positive aspects) of the equally titled ebook sequence that used to be formerly released via 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 matters in finance and accounting, in addition to functions of quantitative easy methods to difficulties in monetary administration, monetary accounting and company administration. the target is to advertise interplay among educational learn in finance and accounting, utilized examine within the monetary group, and the accounting career.
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Additional resources for Advances in Quantitative Analysis of Finance and Accounting: New Series (Advances in Quantitative Analysis of Finance and Accounting, Vol. 1)
Industrial Concentration: The New Learning. Boston: Little Brown (1974). This page intentionally left blank Chapter 3 Using Path Analysis to Integrate Accounting and Non-Financial Information: The Case for Revenue Drivers of Internet Stocks Anthony Kozberg CUNY — Baruch College, USA This paper utilizes path analysis, an approach common in behavioral and natural science literatures but relatively unseen in ﬁnance and accounting, to improve inferences drawn from a combined database of ﬁnancial and non-ﬁnancial information.
2001). Therefore, another data set is compiled by tracing the trails of each backward citation. Some thoughts were given to the issue of striking a balance between enlisting a reasonable representation of those industries and maintaining a manageable sample size. It is decided to conﬁne the study to the following sub-sectors: • CHEM: diversiﬁed chemical products, • COMP: personal computers, large scale computers, data storage devices, computer software, • ELEC: consumer electronics, durable electrical appliances.
An internal knowledge base is the stock of ﬁrm-speciﬁc knowledge accumulated in the course of research activities. A ﬁrm retrieves past experience from its knowledge base by making citations to its past patents. Therefore, the intensity of internal knowledge spillovers also implies a ﬁrm’s capability of internalizing the values of its knowledge and past experience in future research. Finally, interindustry knowledge spillovers to ﬁrm i can be derived from TRA(i, j, t) and INT(i, j, t), which is TER(i, j, t) = TBC(i, j, t) − TRA(i, j, t) − INT(i, j, t), where TBC(i, j, t) is the total number of backward citations made by ﬁrm i.