5,317 research outputs found
The United States and the Gulf States: Uncertain Partners in a Changing Region
Evaluates the relationship between the United States and the Gulf states as they face democratic transitions in the Arab world as well as security challenges in the Gulf
Extreme Value Theory and Fat Tails in Equity Markets
Equity market crashes or booms are extreme realizations of the underlying return distribution. This paper questions whether booms are more or less likely than crashes and whether emerging markets crash more frequently than developed equity markets. We apply Extreme Value Theory (EVT) to construct statistical tests of both of these questions. EVT elegantly frames the problem of extreme events in the context of the limiting distributions of sample maxima and minima. This paper applies generalized extreme value theory to understand the probability of extreme events and estimate the level of �fatness� in the tails of emerging and developed markets. We disentangle the major �tail index� estimators in the literature and evaluate their small sample properties and sensitivities to the number of extreme observations. We choose to use the Hill index to measure the shape of the distribution in the tail. We then apply nonparametric techniques to assess the significance of differences in tail thickness between the positive and negative tails of a given market and in the tail behavior of the developed and emerging region. We construct Monte Carlo and Wild Bootstrap tests of the null of tail symmetry and find that negative tails are statistically significantly fatter than positive tails for a subset of markets in both regions. We frame group bootstrap tests of universal tail behavior for each region and show that the tail index is statistically similar across countries within the same region. This allows us to pool returns and estimate region wide tail behavior. We form bootstrapping tests of pooled returns and document evidence that emerging markets have fatter negative tails than the developed region. Our findings are consistent with prevalent notions of crashes being more in the emerging region than among developed markets. However our results of asymmetry in several markets in both regions, suggest that the risk of market crashes varies significantly within the region. This has important implications for any international portfolio allocation decisions made with a regional viewExtreme value theory, fat tails, emerging markets
Why are the parts worth more than the sum? "Chop shop," a corporate valuation model
Stock market ; Corporations
Wealth Dynamics and a Bias Toward Momentum Trading
Evolutionary metaphors have been prominent in both economics and finance. They are often used as basic foundations for rational behavior and efficient markets. Theoretically, a mechanism which selects for rational investors actually requires many caveats, and is far from generic. This paper tests wealth based evolution in a simple, stylized agent-based financial market. The setup borrows extensively from current research in finance that considers optimal behavior with some amount of return predictability. The results confirm that with a homogeneous world of log utility investors wealth will converge onto optimal adaptive forecasting parameters. However, in the case of utility functions which differ from log, wealth selection alone converges to parameters which are economically far from the optimal forecast parameters. This serves as a strong reminder that wealth selection and utility maximization are not the same thing. Therefore, suboptimal financial forecasting strategies may be difficult to drive out of a market, and may even do quite well for some time.
Behind the price: on the role of agent's reflexivity in financial market microstructure
In this chapter we review some recent results on the dynamics of price
formation in financial markets and its relations with the efficient market
hypothesis. Specifically, we present the limit order book mechanism for markets
and we introduce the concepts of market impact and order flow, presenting their
recently discovered empirical properties and discussing some possible
interpretation in terms of agent's strategies. Our analysis confirms that
quantitative analysis of data is crucial to validate qualitative hypothesis on
investors' behavior in the regulated environment of order placement and to
connect these micro-structural behaviors to the properties of the collective
dynamics of the system as a whole, such for instance market efficiency. Finally
we discuss the relation between some of the described properties and the theory
of reflexivity proposing that in the process of price formation positive and
negative feedback loops between the cognitive and manipulative function of
agents are present.Comment: 12 pages, 1 figur
Diffusion and Aggregation in an Agent Based Model of Stock Market Fluctuations
We describe a new model to simulate the dynamic interactions between market
price and the decisions of two different kind of traders. They possess spatial
mobility allowing to group together to form coalitions. Each coalition follows
a strategy chosen from a proportional voting ``dominated'' by a leader's
decision. The interplay of both kind of agents gives rise to complex price
dynamics that is consistent with the main stylized facts of financial time
series.Comment: 17 pages, 8 figures (accepted for publication in Int. J. Mod. Phys.
C
A Dynamic Structural Model for Stock Return Volatility and Trading Volume
This paper seeks to develop a structural model that lets data on asset returns and trading volume speak to whether volatility autocorrelation comes from the fundamental that the trading process is pricing or, is caused by the trading process itself. Returns and volume data argue, in the context of our model, that persistent volatility is caused by traders experimenting with different beliefs based upon past profit experience and their estimates of future profit experience. A major theme of our paper is to introduce adaptive agents in the spirit of Sargent (1993) but have them adapt their strategies on a time scale that is slower than the time scale on which the trading process takes place. This will lead to positive autocorrelation in volatility and volume on the time scale of the trading process which generates returns and volume data. Positive autocorrelation of volatility and volume is caused by persistence of strategy patterns that are associated with high volatility and high volume. Thee following features seen in the data: (i) The autocorrelation function of a measure of volatility such as squared returns or absolute value of returns is positive with a slowly decaying tail. (ii) The autocorrelation function of a measure of trading activity such as volume or turnover is positive with a slowly decaying tail. (iii) The cross correlation function of a measure of volatility such as squared returns is about zero for squared returns with past and future volumes and is positive for squared returns with current volumes. (iv) Abrupt changes in prices and returns occur which are hard to attach to 'news.' The last feature is obtained by a version of the model where the Law of Large Numbers fails in the large economy limit.
Mediation and Multicultural Reality
Excerpt
Mediation and multiculturalism arise from separate histories and serve different ends. Mediation is a collaborative alternative to the legal system for resolving all kinds of conflicts. Multiculturalism is the philosophy and practice of honouring cultural difference through developing systems that institutionalize pluralism (Roberts and Clifton, 1990). While each of these ideas have animated programs and literatures, little attention was given to the connections between them until the early nineties.1 Since that time, conflict resolution systems and processes have been scrutinized for embedded cultural values and implications for who is included and excluded. Training programs in mediation have progressed from making no mention of culture to adding modules on culture. But modules on culture are only the beginning. Truly competent practice and process design requires a complex understanding of culture and the development of intercultural capacities by third parties
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