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Nonparametric Kernel density estimation near the boundary
Malec, Peter; Schienle, Melanie - 2012 - This Version: August 13, 2012
on high-frequency stock trading volumes and realized volatility forecasts demonstrate the usefulness of the proposed …
Persistent link: https://www.econbiz.de/10009577035
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Spectral estimation of covolatility from noisy observations using local weights
Bibinger, Markus; Reiß, Markus - 2011
noise model with correlation and volatility processes being constant over small intervals. The asymptotic equivalence of the …
Persistent link: https://www.econbiz.de/10009388782
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Volatility of price indices for heterogeneous goods
Bocart, Fabian Y. R. P.; Hafner, Christian M. - 2012
-variance analysis of alternative investments has been hampered by the lack of a systematic treatment of volatility in these markets … underlying volatility. For example, in art markets, auction houses often give price guarantees to the seller that resemble put … the price index, allowing to treat the volatility parameter as the object of interest. The model can be estimated using …
Persistent link: https://www.econbiz.de/10009540165
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Asymptotic equivalence and sufficiency for volatility estimation under microstructure noise
Reiß, Markus - 2011
experiment in terms of the square root of the volatility function .... As an application, simple rateoptimal estimators of the … volatility and efficient estimators of the integrated volatility are constructed. -- High-frequency data ; integrated volatility …; spot volatility estimation ; Le Cam deficiency ; equivalence of experiments ; Gaussian shift …
Persistent link: https://www.econbiz.de/10009125537
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Volatility of price indices for heterogeneous goods
Bocart, Fabian Y. R. P.; Hafner, Christian M. - 2012
-variance analysis of alternative investments has been hampered by the lack of a systematic treatment of volatility in these markets … underlying volatility. For example, in art markets, auction houses often give price guarantees to the seller that resemble put … the price index, allowing to treat the volatility parameter as the object of interest. The model can be estimated using …
Persistent link: https://www.econbiz.de/10010318789
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Asymmetry in the price impact of trades in an high-frequency microstructure model with jumps
Jondeau, Eric; Lahaye, Jérôme; Rockinger, Michael - 2013
We estimate a general microstructure model of the transitory and permanent impact of order flow on stock prices. Jumps are detected in both the transaction price (observation equation) and fundamental value (state equation). The model's parameters and variances are updated in real time. Prices...
Persistent link: https://www.econbiz.de/10010256970
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Adaptive pointwise estimation in time-inhomogeneous time-series models
Čížek, Pavel (contributor); Härdle, Wolfgang (contributor) - 2008
This paper offers a new method for estimation and forecasting of the linear and nonlinear time series when the stationarity assumption is violated. Our general local parametric approach particularly applies to general varying-coefficient parametric models, such as AR or GARCH, whose coefficients...
Persistent link: https://www.econbiz.de/10003635965
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More on confidence intervals for partially identified parameters
Stoye, Jörg (contributor) - 2008
This paper extends Imbens and Manski’s (2004) analysis of confidence intervals for interval identified parameters. For their final result, Imbens and Manski implicitly assume superefficient estimation of a nuisance parameter. This appears to have gone unnoticed before, and it limits the...
Persistent link: https://www.econbiz.de/10003739665
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Sequential estimation of structural models with a fixed point constraint
Kasahara, Hiroyuki (contributor);  … - 2008
This paper considers the estimation problem of structural models for which empirical restrictions are characterized by a fixed point constraint, such as structural dynamic discrete choice models or models of dynamic games. We analyze the conditions under which the nested pseudo-likelihood (NPL)...
Persistent link: https://www.econbiz.de/10003782944
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Optimal smoothing for a computationally and statistically efficient single index estimator
Xia, Yingcun; Härdle, Wolfgang; Linton, Oliver - 2009
In semiparametric models it is a common approach to under-smooth the nonparametric functions in order that estimators of the finite dimensional parameters can achieve root-n consistency. The requirement of under-smoothing may result as we show from inefficient estimation methods or technical...
Persistent link: https://www.econbiz.de/10003835181