搜索结果: 1-12 共查到“经济学 Noise”相关记录12条 . 查询时间(0.241 秒)
We explore empirically models of aggregate fluctuations in which consumers form anticipations about the future based on noisy sources of information and these anticipations affect output in the short ...
Multiplicative noise, fast convolution, and pricing
Computational Finance Stochastic Processes Non-Gaussian Option Pricing Numerical Methods for Option Pricing
2011/7/19
In this work we detail the application of a fast convolution algorithm computing high dimensional integrals to the context of multiplicative noise stochastic processes. The algorithm provides a numeri...
Noise, risk premium;and bubble
the market risk premium vector physical measure anomalous price dynamics
2011/3/30
The existence of the pricing kernel is shown to imply the existence of an ambient information process that generates market filtration. This information process consists of a signal component concerni...
Gaussian Noise Effects on the Evolution of Wealth in a Closed System of n-Economies
stochastic economic agents wealth distribution
2011/3/23
Based on the stochastic model proposed by Patriarca-Kaski-Chakraborti that describes the exchange of wealth between $n$ economic agents, we analyze the evolution of the corresponding economies under t...
Statistical causes for the Epps effect in microstructure noise
Statistical Epps effect microstructure noise
2010/10/21
We present two statistical causes for the distortion of correlations on high-frequency financial data. We demonstrate that the asynchrony of trades as well as the decimalization of stock prices has a...
Financial LPPL Bubbles with Mean-Reverting Noise in the Frequency Domain
Financial LPPL Bubbles Mean-Reverting Noise Frequency Domain
2010/10/21
The log-periodic power law (LPPL) is a model of asset prices during endogenous bubbles. A major open issue is to verify the presence of LPPL in price sequences and to estimate the LPPL parameters. Est...
Bayesian Cointegrated Vector Autoregression models incorporating Alpha-stable noise for inter-day price movements via Approximate Bayesian Computation
Cointegrated Vector Autoregression -stable Approximate Bayesian Computation
2010/10/21
We consider a statistical model for pairs of traded assets, based on a Cointegrated Vector Auto Regression (CVAR) Model. We extend standard CVAR models to incorporate estimation of model parameters in...
Asymptotic equivalence and sufficiency for volatility estimation under microstructure noise
Asymptotic equivalence volatility estimation microstructure noise
2010/10/18
The basic model for high-frequency data in finance is considered, where an efficient price process is observed under microstructure noise. It is shown that this nonparametric model is in Le Cam's sens...
High frequency market microstructure noise estimates and liquidity measures
High frequency market microstructure noise estimates and liquidity measures
2010/11/1
Using recent advances in the econometrics literature, we disentangle from high frequency observations on the transaction prices of a large sample of NYSE stocks a fundamental component and a microstru...
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...
HIGH FREQUENCY MARKET MICROSTRUCTURE NOISE ESTIMATES AND LIQUIDITY MEASURES
Market microstructure noise robust volatility estimation high frequency data liquidity stock returns
2014/3/13
Using recent advances in the econometrics literature, we disentangle from high frequency observations on the transaction prices of a large sample of NYSE stocks a fundamental component and a microstru...
How Often to Sample a Continuous-Time Process in the Presence of Market Microstructure Noise
Continuous-Time Process iin the Presence of Market Microstructure Noise
2014/3/13
In theory, the sum of squares of log returns sampled at high frequency estimates their variance. When market microstructure noise is present but unaccounted for, however,we show that the optimal sampl...