Showing 1 - 10 of 52,536
), we are concerned with valid moment approximations and employ them to characterize the second order bias structure of the …
Persistent link: https://www.econbiz.de/10008552086
, increasing statistical power, reducing bias and enhancing credibility, meta-analysis is widely regarded as 'best evidence …
Persistent link: https://www.econbiz.de/10012034162
In this paper, we show that conditions derived under the CAPM ensure only weak exogeneity in a linear regression setting. Since strong exogeneity is not guaranteed, the OLS estimator of CAPM beta is only consistent but not necessarily unbiased. We provide empirical evidence that individual daily...
Persistent link: https://www.econbiz.de/10012935615
nonlinearity of the problem. We present a penalty for the objective function that reduces the bias in the resulting point estimates … practice. The form of the penalty also provides interesting intuition into how the bias reduction is working. We present … simulation results that suggest that the penalized optimization approach may substantially reduce the bias in nonlinear fixed …
Persistent link: https://www.econbiz.de/10014027743
The paper deals with estimation of missing observations in possibly nonstationary ARIMA models. First, the model is assumed known, and the structure of the interpolation filter is analysed. Using the inverse or dual autocorrelation function it is seen how estimation of a missing observation is...
Persistent link: https://www.econbiz.de/10005774248
We consider the problem of estimating missing values in vector time series. We give a method of calculating the minimum least squares estimate and a second method which uses the best linear combination of the forward and backward predictors. We derive the estimators for some simple models. We...
Persistent link: https://www.econbiz.de/10005783581
The paper deals with estimation of missing observations in possibly nonstationary ARIMA models. First, the model is assumed known, and the structure of the interpolation filter is analysed. Using the inverse or dual autocorrelation function it is seen how estimation of a missing observation is...
Persistent link: https://www.econbiz.de/10005022239
The paper proposes an original class of conditionally heteroskedastic models aimed to capture contemporaneous asymmetry. Not only past up and down moves of stock market returns have different impacts on the conditional variance, but also, positive and negative changes are governed by different...
Persistent link: https://www.econbiz.de/10005641183
This paper considers issues related to identification, inference, and computation in linearized dynamic stochastic general equilibrium (DSGE) models. We first provide a necessary and sufficient condition for the local identification of the structural parameters based on the (first and) second...
Persistent link: https://www.econbiz.de/10011756473
This paper estimates the stock market and its price dynamics in terms of the multifractional Brownian motion. In our analysis, we use the financial dataset of the Dow Jones Industrial Average (DJI) time series from March 2009 to June 2015. First, we briefly introduce the definitions and...
Persistent link: https://www.econbiz.de/10012840307