搜索结果: 1-15 共查到“经济学 R-matrix”相关记录17条 . 查询时间(0.093 秒)
Estimation and Solution of Linear Rational Expectations Models Using a Polynomial Matrix Factorization
Linear Rational Expectations Models Polynomial Matrix Factorization
2015/8/4
Estimation and Solution of Linear Rational Expectations Models Using a Polynomial Matrix Factorization.
Production of MgO-X Refractory Material with Cellular Matrix by Colloidal Processing
Carbon Refractory MgO Oxidation
2013/2/25
The production in the siderurgy and foundry industry has changed considerably in the past years. Despite the new technologies and process, the use of magnesia carbon refractory remains constant. Namel...
Comprehensive Analysis of Market Conditions in the Foreign Exchange Market: Fluctuation Scaling and Variance-Covariance Matrix
Foreign Exchange Market Fluctuation Scaling Scaling Breaking Global Average of Cross-Correlations
2012/4/28
We investigate quotation and transaction activities in the foreign exchange market for every week during the period of June 2007 to December 2010. A scaling relationship between the mean values of num...
Building portfolios of stocks in the Sao Paulo Stock Exchange using Random Matrix Theory
Building portfolios stocks the Sao Paulo Stock Exchange Random Matrix Theory
2012/3/2
Using Random Matrix Theory, we build a covariance matrix between stocks of the BM&F-Bovespa (Bolsa de Valores, Mercadorias e Futuros de S\~ao Paulo) which is cleaned of some of the noise due to the co...
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...
Google matrix of the world trade network
Commodity Trade Statistics Database trade network algorithms developed
2011/3/30
Using the United Nations Commodity Trade Statistics Database [this http URL] we construct the Google matrix of the world trade network and analyze its properties for various trade commodities for all ...
We consider a structural model for the estimation of credit risk based on Merton's original model. By using Random-Matrix theory we demonstrate analytically that the presence of correlations severely ...
Transition Probability Matrix Methodology for Incremental Risk Charge
constructing transition TPMs the available historical data the merger of one-year Basel PD deriving a monthly
2011/3/23
As part of Basel II's incremental risk charge (IRC) methodology, this paper summarizes our extensive investigations of constructing transition probability matrices (TPMs) for unsecuritized credit prod...
Development of efficient business process models and determination of their characteristic properties are subject of intense interdisciplinary research. Here, we consider a business process model as ...
Vast Volatility Matrix Estimation using High Frequency Data for Portfolio Selection
Minimum variance portfolio portfolio allocation risk assessment
2010/10/20
Portfolio allocation with gross-exposure constraint is an effective method to increase the efficiency and stability of selected portfolios among a vast pool of assets, as demonstrated in Fan et al (20...
Random Matrix Theory and Fund of Funds Portfolio Optimisation
Random Matrix Theory Hedge Funds Fund of Funds Correlation
2010/10/20
The proprietary nature of Hedge Fund investing means that it is common practise for managers to release minimal information about their returns. The construction of a Fund of Hedge Funds portfolio re...
When do improved covariance matrix estimators enhance portfolio optimization? An empirical comparative study of nine estimators
covariance matrix nine estimators portfolio optimization
2010/4/28
The use of improved covariance matrix estimators as an alternative to the sample estimator is considered an important approach for enhancing portfolio optimization. Here we empirically compare the per...
We apply random matrix theory to derive spectral density of large sample covariance matrices generated by multivariate VMA(q), VAR(q) and VARMA(q1,q2) processes. In particular, we consider a limit wh...
Financial Applications of Random Matrix Theory: a short review
Financial Applications Random Matrix Theory short review
2010/11/2
The Marˇcenko-Pastur 1967 paper [1] on the spectrum of empirical correlation matrices is both remarkable and precocious. It turned out to be useful in many, very different contexts (neural networks, i...
Hidden Noise Structure and Random Matrix Models of Stock Correlations
Hidden Noise Structure Random Matrix Models Stock Correlations
2010/11/2
We find a novel correlation structure in the residual noise of stock market returns that is remarkably linked to the composition and stability of the top few significant factors driving the returns, a...