|
Type of Document Dissertation Author Mavroudis, Konstantinos Author's Email Address kmavroud@math.fsu.edu URN etd-11102008-190358 Title Constant Proportions Portfolio Strategies In An Evolutionary Context Under A Dividend Factor Model Degree Doctor of Philosophy Department Mathematics, Department of Advisory Committee
Advisor Name Title Craig A. Nolder Committee Chair Alec Kercheval Committee Member Bettye Anne Case Committee Member De Witt Sumners Committee Member Paul Beaumont Committee Member Don Schlagenhauf Outside Committee Member Keywords
- Dividend Factor Model
- Factor Analysis
- Principal Components Analysis
- Fixed-Mix Rules
- Constant Proportions Strategies
- Excess Volatility
- Evolutionary Finance
- Evolutionary Portfolio Theory
Date of Defense 2008-11-04 Availability unrestricted Abstract In this dissertation we explore the impact of various constant-proportions investment strategies in an economic evolutionary market. Dividends are generated according to a new Dividend Factor Model. Furthermore, Dividends were estimated and calibrated from data using Principal Component Analysis and Factor Analysis. Moreover, we perform simulations to study the long-run outcome of an evolutionary competition with several well diversified constant-proportions strategies, among them some innovative strategies. We present and compare a variety of simulations with dividends being artificially generated according to the many different versions of our model. Our simulation results are important for both theoretical and practical reasons. In theoretical terms we have a model where, although the true rational strategy is the only probable dominant strategy, it is also possible for some “behavioral” rules to perform better under specific circumstances. In practical terms we suggest new constant-proportions strategies that could be superior for investors at least in the short run.Files
Filename Size Approximate Download Time (Hours:Minutes:Seconds)
28.8 Modem 56K Modem ISDN (64 Kb) ISDN (128 Kb) Higher-speed Access MavroudisKDissertation.pdf 4.18 Mb 00:19:20 00:09:56 00:08:42 00:04:21 00:00:22