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The clustering of agricultural products and determining important countries for these clusters by the factor analysis
Eigen value herbal product total variability Varimax
2014/11/28
In the study, some important herbal agricultural products with respect to their production have been clustered, in addition to determining the most important or the best countries in terms of the prod...
Interest Rate Manipulation Detection using Time Series Clustering Approach
Interest Rate Manipulation Detection Series Clustering Approach
2012/9/14
The Interbank Offered Rate is a vital benchmark interest rate in the financial markets of every country to which financial contracts are tied. In the light of the recent LIBOR manipulation incident, t...
Dynamic Large Spatial Covariance Matrix Estimation in Application to Semiparametric Model Construction via Variable Clustering: the SCE approach
Time Series Covariance Estimation Regularization Sparsity Thresholding Semiparametrics Graphical Model Variable Clustering
2011/7/5
To better understand the spatial structure of large panels of economic and nancial time
series and provide a guideline for constructing semiparametric models, this paper rst consid-
ers estimating...
Default Clustering in Large Portfolios: Typical and Atypical Events
Large Portfolios Default Clustering Typical Atypical Events
2011/7/22
Abstract: We develop a dynamic point process model of correlated default timing in a portfolio of firms, and analyze typical and atypical default profiles in the limit as the size of the pool grows. I...
A new space-time model for volatility clustering in the financial market
space-time model volatility clustering financial market
2010/10/18
A new space-time model for interacting agents on the financial market is presented. It is a combination of the Curie-Weiss model and a space-time model introduced by J\"arpe 2005. Properties of the m...
Asset returns and volatility clustering in financial time series
Asset returns volatility clustering financial time series
2010/10/18
An analysis of the stylized facts in financial time series is carried out. We find that, instead of the heavy tails in asset return distributions, the slow decay behaviour in autocorrelation function...
Wavelet Based Volatility Clustering Estimation of Foreign Exchange Rates
Time-Scale analysis Intermittency Nonlinearity and Chaos
2010/11/2
We have presented a novel technique of detecting intermittencies in a financial time series of the foreign exchange rate data of U.S.- Euro dollar( US/EUR) using a combination of both statistical and ...
We use techniques from network science to study correlations in the foreign exchange (FX) market over the period 1991–2008. We consider an FX market network in which each node represents an exchange r...