MoneyScience News |
- Published / Preprint: 26Jun/Revised principles for supervisory colleges published by the Basel Committee
- Blog Post: TheAlephBlog: What to Do After a Bad Day?
- Published / Preprint: Thermodynamics of inequalities: from precariousness to economic stratification. (arXiv:1406.6441v1 [physics.soc-ph])
- Published / Preprint: Using an Artificial Financial Market for studying a Cryptocurrency Market. (arXiv:1406.6496v1 [q-fin.TR])
- Published / Preprint: Hierarchical structure of the European countries based on debts as a percentage of GDP during the 2000-2011 period. (arXiv:1406.6559v1 [q-fin.ST])
- Published / Preprint: Hierarchical structure of the countries based on electricity consumption and economic growth. (arXiv:1406.6562v1 [q-fin.ST])
- Published / Preprint: Systemic risk through contagion in a core-periphery structured banking network. (arXiv:1406.6575v1 [q-fin.RM])
- Published / Preprint: Game Theory, Statistical Mechanics and Income Inequality. (arXiv:1406.6620v1 [q-fin.EC])
- Published / Preprint: Causality Networks. (arXiv:1406.6651v1 [cs.LG])
- Victor Ricciardi talks about his book Investor Behavior: The Psychology of Financial Planning and Investing
- Blog Post: iMFdirect: Fixing International Corporate Taxation'Not Just a Problem for Advanced Economies
- Published / Preprint: What's Not There: Odd lots and Market Data
| Posted: 26 Jun 2014 01:00 AM PDT Press release about the Basel Committee publishing revised Principles for supervisory colleges (26 June 2014) Visit MoneyScience for the Complete Article.      |
| Blog Post: TheAlephBlog: What to Do After a Bad Day? Posted: 25 Jun 2014 11:40 PM PDT As for my portfolio, June was looking pretty good, then yesterday happened. Â Worst relative performance day in 2 years. Â The US Government announced that it would allow the export of partially refined crude oil, and US refiners got hit. Â Two articles:read more... Visit MoneyScience for the Complete Article.    |
| Posted: 25 Jun 2014 05:38 PM PDT Increasingly large social and economic inequalities are observed throughout the world. Theorists after Pareto have studied this phenomenon in terms of the tail structure of the wealth distribution at a given time. Unfortunately, this approach leaves unaddressed the dynamics of inequalities in non-equilibrium situations, e.g. under redistribution policies. Here we introduce a thermodynamical... Visit MoneyScience for the Complete Article.    |
| Posted: 25 Jun 2014 05:38 PM PDT This paper presents an agent-based artificial cryptocurrency market in which heterogeneous agents buy or sell cryptocurrencies, in particular Bitcoins. In this market, there are two typologies of agents, Random Traders and Chartists, which interact with each other by trading Bitcoins. Each agent is initially endowed with a finite amount of crypto and/or fiat cash and issues buy and sell orders,... Visit MoneyScience for the Complete Article.    |
| Posted: 25 Jun 2014 05:38 PM PDT We investigate hierarchical structures of the European countries by using debt as a percentage of Gross Domestic Product (GDP) of the countries as they change over a certain period of time. We obtain the topological properties among the countries based on debt as a percentage of GDP of European countries over the period 2000-2011 by using the concept of hierarchical structure methods (minimal... Visit MoneyScience for the Complete Article.    |
| Posted: 25 Jun 2014 05:38 PM PDT We investigate the hierarchical structures of countries based on electricity consumption and economic growth by using the real amounts of their consumption over a certain time period. We use of electricity consumption data to detect the topological properties of 60 countries from 1971 to 2008. These countries are divided into three subgroups: low income group, middle income group and high income... Visit MoneyScience for the Complete Article.    |
| Posted: 25 Jun 2014 05:38 PM PDT We contribute to the understanding of how systemic risk arises in a network of credit-interlinked agents. Motivated by empirical studies we formulate a network model which, despite its simplicity, depicts the nature of interbank markets better than a homogeneous model. The components of a vector Ornstein-Uhlenbeck process living on the vertices of the network describe the financial robustnesses... Visit MoneyScience for the Complete Article.    |
| Posted: 25 Jun 2014 05:38 PM PDT The widening inequality in income distribution in recent years, and the associated excessive pay packages of CEOs in the U.S. and elsewhere, is of growing concern among policy makers as well as the common person. However, there seems to be no satisfactory answer, in conventional economic theories and models, to the fundamental question of what kind of pay distribution we ought to see in a free... Visit MoneyScience for the Complete Article.    |
| Published / Preprint: Causality Networks. (arXiv:1406.6651v1 [cs.LG]) Posted: 25 Jun 2014 05:38 PM PDT While correlation measures are used to discern statistical relationships between observed variables in almost all branches of data-driven scientific inquiry, what we are really interested in is the existence of causal dependence. Designing an efficient causality test, that may be carried out in the absence of restrictive pre-suppositions on the underlying dynamical structure of the data at hand,... Visit MoneyScience for the Complete Article.    |
| Posted: 25 Jun 2014 11:47 AM PDT Victor Ricciardi is a Finance Professor at Goucher College in Baltimore, Maryland and co-editor (with Kent Baker) of the new book Investor Behavior: The Psychology of Financial Planning and Investing. You can buy this book and claim 30% off your copy with our promo code MON30 when ordering direct through Wiley here. read more... Visit MoneyScience for the Complete Article.    |
| Posted: 25 Jun 2014 07:07 AM PDT By Michael Keenread more... Visit MoneyScience for the Complete Article.    |
| Published / Preprint: What's Not There: Odd lots and Market Data Posted: 25 Jun 2014 04:07 AM PDT We investigate odd-lot trades in equity markets. Odd lots are increasingly used in algorithmic and high frequency trading, but are not reported to the consolidated tape or in databases such as TAQ. In our sample, the median number of odd-lot trades is 24% but in some stocks odd lots are 60% or more of trading. Odd-lot trades contribute 35% of price discovery, consistent with informed traders... Visit MoneyScience for the Complete Article.    |
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