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Strategic financial management in a multinational financial conglomerate: A multiple goal stochastic programming approach
Institution:1. Norton Healthcare Louisville, KY 40202, United States;2. University at Buffalo, NY, United States;3. NRG Oncology Statistics and Data Management Center, United States;4. Roswell Park Cancer Institute, Buffalo, NY 14263, United States;5. Gynecologic Oncology, Rebecca and John Moores UCSD Cancer Center, La Jolla, CA 92093, United States;6. Department of Behavioral Science, University of Texas, MD Anderson Cancer Center, Houston, TX 77030, United States;7. Gynecologic Oncology, Northern Indiana Cancer Research Consortium, Memorial Hospital, Mishawaka, IN 46545, United States;8. Gynecologic Oncology, University of Oklahoma, Oklahoma City, OK 73104, United States;9. GYN/ONC, Baystate Medical Center, Springfield, MA 01199, United States;11. OB/GYN, Duke University Medical Center, Durham, NC 27710, United States;12. Gynecologic Oncology, University of Norton Carolina, Chapel Hill, NC 26588, United States
Abstract:The paper discusses a multi-stage stochastic programming approach to the strategic financial management of a multi-company financial conglomerate. The planning system creates a comprehensive strategy which simultaneously covers a number of future scenarios within a multi-period planning horizon. Multiple conflicting goals may be specified for the group level, company level or individual business area level, and the decision maker’s preferences are allowed to change over time to reflect changing operating conditions and trade-off relationships between the goals. Special features include, among other things, full market valuation throughout the model, integrated treatment of different types of risks, explicit modelling of various types of intra-group transactions and relationships, extensive structures to deal with distressed assets and the covering of losses within the group, as well as consideration of potential portfolio effects of a diversified group structure on the cost of funding.
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