In order to minimize the cash outflow, an optimization model for a manpower system is considered, where in the vacancies are filled up based on promotion and recruitment. A mathematical model is constructed based on the mapping of a manpower system with an appropriate Queuing Model and Transportation Model with the objective of recruitment cost minization. Essentially, the standard portfolio optimization problem is to identify the optimal allocation of the available limited resources based on the limited set of investments. In this juncture, the term optimality refers the tradeoff between the perceived risk and the expected return with the help of Preemptive Goal Programming model and Integer Programming Model. Investment decisions are based on the risk-return patterns. Appropriate measures of risk and return are of great concern to investors. CAPM, based on market beta, addresses this concern quite well. But, an alternative CAPM can also be thought of. An attempt is made to construct a model for measuring the corporate profitability performance and identifying the risk category of companies applying accounting beta [β] based on the CAPM model.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Dr. Perumal Mariappan is having more than thirty years of rich teaching experience in India and Overseas. He has published more than 40 books and 100 International Research Papers. He visited more than ten countries. Serving as Chief Editor / Editor of many leading International Journals. Received more than 10 awards for his outstanding profile.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: moluna, Greven, Deutschland
Zustand: New. Artikel-Nr. 5149314
Anzahl: Mehr als 20 verfügbar
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. A Study On Mathematical Finance Models | And Their Managerial Decision Making Applications In Business Enterprises | Perumal Mariappan | Taschenbuch | 120 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659334818 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Artikel-Nr. 106078971
Anzahl: 5 verfügbar