MoneyScience News |
- Blog Post: TheFinancialServicesClub: Fixing Our Banks: Part Four - the Employee's View
- Blog Post: TheAlephBlog: Shrinking Economies Deserve Gridlock
- Blog Post: Falkenblog: Low Vol Makes Comeback in YTD Total Returns
- Published / Preprint: Econophysics of adaptive power markets: When a market does not dampen fluctuations but amplifies them. (arXiv:1303.2110v1 [q-fin.TR])
- Published / Preprint: Dynamic Programming Equations for Portfolio Optimization under Partial Information with Expert Opinions. (arXiv:1303.2513v1 [q-fin.PM])
Blog Post: TheFinancialServicesClub: Fixing Our Banks: Part Four - the Employee's View Posted: 12 Mar 2013 01:33 AM PDT |
Blog Post: TheAlephBlog: Shrinking Economies Deserve Gridlock Posted: 11 Mar 2013 10:34 PM PDT |
Blog Post: Falkenblog: Low Vol Makes Comeback in YTD Total Returns Posted: 11 Mar 2013 07:12 PM PDT In this year's bull market, low beta portfolios have been doing quite well. My own Minimum Variance Portfolio, taken using 50 constituents of the SP500, has outperformed the SP500 by just about the same amount as the SPLV ETF (which takes the 100 stocks with the lowest volatility). It seems that low beta portfolios were insulated against that mini bear market of a couple weeks ago. Visit MoneyScience for the Complete Article. |
Posted: 11 Mar 2013 05:37 PM PDT The average economic agent is often used to model the dynamics of simple markets, based on the assumption that the dynamics of many agents can be averaged over in time and space. A popular idea that is based on this seemingly intuitive notion is to dampen electric power fluctuations from fluctuating sources (as e.g. wind or solar) via a market mechanism, namely by variable power prices that adapt... Visit MoneyScience for the Complete Article. |
Posted: 11 Mar 2013 05:37 PM PDT This paper investigates optimal portfolio strategies in a market where the drift is driven by an unobserved Markov chain. Information on the state of this chain is obtained from stock prices and expert opinions in the form of signals at random discrete time points. As in Frey et al. (2012), Int. J. Theor. Appl. Finance, 15, No. 1, we use stochastic filtering to transform the original problem into... Visit MoneyScience for the Complete Article. |
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