搜索结果: 1-12 共查到“经济学 Covariance”相关记录12条 . 查询时间(0.073 秒)
Modeling and Pricing of Covariance and Correlation Swaps for Financial Markets with Semi-Markov Volatilities
Modeling and Pricing of Covariance Correlation Swaps Financial Markets Semi-Markov Volatilities Pricing of Securities
2012/6/5
In this paper, we model financial markets with semi-Markov volatilities and price covarinace and correlation swaps for this markets. Numerical evaluations of vari- nace, volatility, covarinace and cor...
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...
Robust Maximization of Asymptotic Growth under Covariance Uncertainty
Maximization Covariance Uncertainty
2011/7/19
This paper resolves a question proposed in Kardaras and Robertson (2011): how to invest in a robust growth-optimal way in a market where precise knowledge of the covariance structure of the underlying...
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...
Time-lagged covariance estimator for i.i.d. Gaussian assets
Time-lagged covariance estimator i.i.d. Gaussian assets
2010/10/22
I apply the method of planar diagrammatic expansion to solve the problem of finding the mean spectral density of the non-Hermitian time-lagged covariance estimator for a system of i.i.d. Gaussian ran...
Estimating correlation and covariance matrices by weighting of market similarity
Weighted Correlation Estimation Covariance Estimation Time-dynamic Dependence
2010/10/20
We discuss a weighted estimation of correlation and covariance matrices from historical financial data. To this end, we introduce a weighting scheme that accounts for similarity of previous market co...
On the Estimation of Integrated Covariance Matrices of High Dimensional Diffusion Processes
High dimension high frequency integrated covariance matrix
2010/10/20
We consider the estimation of integrated covariance matrices of high dimensional diffusion processes by using high frequency data. We start by studying the most commonly used estimator, the realized ...
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...
High-Frequency Covariance Estimates With Noisy and Asynchronous Financial Data
Covariance Generalized synchronization method Market microstructure noise Quasi-Maximum Likelihood Estimator Refresh Time.
2014/3/13
This article proposes a consistent and efficient estimator of the high-frequency covariance (quadratic covariation) of two arbitrary assets,observed asynchronously with market microstructure noise. Th...
Variance-covariance based risk allocation in credit portfolios: analytical approximation
Variance-covariance risk allocation nalytical approximation
2010/11/1
High precision analytical approximation is proposed for variance-covariance based risk allocation in a portfolio of risky assets. A general case of a single-period multi-factor Merton-type model with ...
Universal Correlations and Power-Law Tails in Financial Covariance Matrices
Universal Correlations Power-Law Tails Financial Covariance Matrices
2010/11/1
Signatures of universality are detected by comparing individual eigenvalue distributions and level spacings from financial covariance matrices to random matrix predictions. A chopping procedure is dev...
The empirical properties of large covariance matrices
Covariance matrix spectrum spectral density
2010/10/29
The salient properties of large empirical covariance and correlation matrices are studied for
three datasets of size 54, 55 and 330. The covariance is defined as a simple cross product of the returns...