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Financial Valuation and Econometrics

By: Lim, Kian GuanLanguage: English Publication details: London World Scientific Publishing Co. Pte. Ltd. 2020 Edition: 2nd EdDescription: xvii,585pISBN: 978-0-00-098866-9Subject(s): Financial economicsDDC classification: 332.015195
Contents:
1 - Probability Distribution and Statistics 2 - Statistical Laws and Central Limit Theorem Application 3 - Two Variable Linear Regression Application 4 - Model Estimation Application 5 - Constrained Regression Application 6 - Generalised Methods of Moments Application 7 - Multiple Time Series Regression Application 8 - Fixed and Random Effects Models Application 9 - LOGIT and PROBIT Regressions Application 10 - Implied Parameters Application Appendix
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Holdings
Item type Home library Collection Call number Status Date due Barcode
Books Books Sateri Pissani Education Society's Shri Gopal Gaonkar Memorial College Goa Multi - Faculty College, Dayanandnagar, Dharbandora
SPE-Department of Commerce
SPE-Commerce 332.015195 LIM/Fin (Browse shelf(Opens below)) Available SPE-3837
Browsing Sateri Pissani Education Society's Shri Gopal Gaonkar Memorial College Goa Multi - Faculty College, Dayanandnagar, Dharbandora shelves, Shelving location: SPE-Department of Commerce, Collection: SPE-Commerce Close shelf browser (Hides shelf browser)
330.015195 WOO/Int Introductory Econometrics A Modern Approach 330.015195 WOO/Int Introductory Econometrics A Modern Approach 332 SHA/Fin Financial Services 332.015195 LIM/Fin Financial Valuation and Econometrics 332.1 DUR/Fin Financial Services Technology Processes, Achitecture and Solutions 332.1 GOP/Ban Banking Principles and Operations 332.1 GOP/Ban Banking Principles and Operations

I. Introduction - Intellectual Property Rights
II. The Copyright Act, 1957
III. The Trade Marks Act, 1999
IV. The Patents Act, 1970
V. Geographical Indications of Goods Act, 1999
VI. The Design Act, 2000

1 - Probability Distribution and Statistics
2 - Statistical Laws and Central Limit Theorem Application
3 - Two Variable Linear Regression Application
4 - Model Estimation Application
5 - Constrained Regression Application
6 - Generalised Methods of Moments Application
7 - Multiple Time Series Regression Application
8 - Fixed and Random Effects Models Application
9 - LOGIT and PROBIT Regressions Application
10 - Implied Parameters Application
Appendix

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