Friday, January 18, 2013

MoneyScience News

MoneyScience News


Blog Post: TheAlephBlog: Penny Wise, Pound Foolish

Posted: 18 Jan 2013 03:23 AM PST

Some of the dumbest things I have seen in my life inside corporations revolve around incompetent managers, who don’t have the foggiest idea how to grow value organically, and use a variety of shortcuts or cheats to give an illusion of creating value by doing nothing.  I have given a few examples in these two articles:read more...

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Blog Post: TheFinancialServicesClub: Try to destroy yourself '¦ and then do it

Posted: 18 Jan 2013 02:26 AM PST

One of the panellists at this week’s conference said that he employed twenty people whose sole duty was to find a way to destroy the business.read more...

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Blog Post: Falkenblog: Getting Back to Basics

Posted: 17 Jan 2013 07:21 PM PST

From Bloomberg:Chief Executive Officer Michael Corbat, said “We’ve got to get to a point where we stop destroying our shareholders’ capital.” At least he understands what they have been doing.  If he's serious, why not start by selling the bank off into manageable parts?  I just don't see how its possible to efficiently maximize a 2 trillion dollar bank, with 260k...

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Published / Preprint: Compact Securities Markets for Pareto Optimal Reallocation of Risk. (arXiv:1301.3886v1 [cs.GT])

Posted: 17 Jan 2013 05:33 PM PST

The emph{securities market} is the fundamental theoretical framework in economics and finance for resource allocation under uncertainty. Securities serve both to reallocate risk and to disseminate probabilistic information. emph{Complete} securities markets - which contain one security for every possible state of nature - support Pareto optimal allocations of risk. Complete markets suffer from...

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Published / Preprint: Random cascade model in the limit of infinite integral scale as the exponential of a non-stationary $1/f$ noise. Application to volatility fluctuations in stock markets. (arXiv:1301.4160v1 [q-fin.ST])

Posted: 17 Jan 2013 05:33 PM PST

In this paper we propose a new model for volatility fluctuations in financial time series. This model relies on a non-stationary gaussian process that exhibits aging behavior. It turns out that its properties, over any finite time interval, are very close to continuous cascade models. These latter models are indeed well known to reproduce faithfully the main stylized facts of financial time...

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Published / Preprint: Diversity and no arbitrage. (arXiv:1301.4173v1 [q-fin.PM])

Posted: 17 Jan 2013 05:33 PM PST

A stock market is called diverse if no stock can dominate the market in terms of relative capitalization. On one hand, this natural property leads to arbitrage in diffusion models under mild assumptions. On the other hand, it is also easy to construct diffusion models which are both diverse and free of arbitrage. Can one tell whether an observed diverse market admits arbitrage? read more...

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Published / Preprint: Financial Portfolio Optimization: Computationally guided agents to investigate, analyse and invest!?. (arXiv:1301.4194v1 [q-fin.PM])

Posted: 17 Jan 2013 05:33 PM PST

Financial portfolio optimization is a widely studied problem in mathematics, statistics, financial and computational literature. It adheres to determining an optimal combination of weights associated with financial assets held in a portfolio. In practice, it faces challenges by virtue of varying math. formulations, parameters, business constraints and complex financial instruments. Empirical...

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Published / Preprint: Anticipatory Systems, Preferences, & Averages. (arXiv:1301.4207v1 [q-fin.GN])

Posted: 17 Jan 2013 05:33 PM PST

Behavior of systems that are functions of anticipated behavior of other systems, whose own behavior is also anticipatory but homeostatic and determined by hierarchical ordering, which changes over time, of sets of possible environments that are not co-possible, is proven to be highly non-linear and sensitively dependent on precise parameters. Averages and other kinds of aggregates cannot be...

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Blog Post: iMFdirect: The Ties That Bond Us: What Demand For Government Debt Can Tell Us About the Risks Ahead

Posted: 17 Jan 2013 12:10 PM PST

by Serkan Arslanalp and Takahiro Tsudaread more...

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Research Library: The Trading Profits of High Frequency Traders

Posted: 17 Jan 2013 08:41 AM PST

Via The Big Picture Matthew Baron, Jonathan Brogaard and Andrei Kirilenko Abstract We examine the profitability of high frequency traders (HFTs). Using transaction level data with user identifications, we find that high frequency trading (HFT) is highly profitable: HFTs collectively earn over $23 million in trading profits in the E-mini S&P 500 futures contract during the month of August...

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