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A new semiparametric estimator for an empirical asset pricing model with general nonparametric risk-return tradeoff and … efficient, i.e., it achieves the semiparametric lower bound. A sampling experiment provides finite sample comparisons with the … parametric approach and the iterative semiparametric approach with parametric initial estimate of Conrad and Mammen (2008). An …
Persistent link: https://www.econbiz.de/10010574076
Over 10 million acres of timberlands in the United States have been securitized through Real Estate Investment Trusts (REITs) in recent years. Publicly traded timber REITs have better liquidity and tax efficiency than private ownership, but at the same time, they are exposed to higher market...
Persistent link: https://www.econbiz.de/10010664291
In this paper, we develop two cointegration tests for two varying coefficient cointegration regression models, respectively. Our test statistics are residual based. We derive the asymptotic distributions of test statistics under the null hypothesis of cointegration and show that they are...
Persistent link: https://www.econbiz.de/10011052207
performance of nine semiparametric estimation methods. Among them are two standard methods, four modified approaches to account …
Persistent link: https://www.econbiz.de/10011995214
For typical sample sizes occurring in economic and financial applications, the squared bias of estimators for the memory parameter is small relative to the variance. Smoothing is therefore a suitable way to improve the performance in terms of the mean squared error. However, in an analysis of...
Persistent link: https://www.econbiz.de/10012696303
The experience of past financial market turmoil suggests that in addition to eroding investor wealth, the severe consequences of rare extreme market events can spillover and impair the broader real economies. In this context, this paper is an evaluation of the methodological and empirical...
Persistent link: https://www.econbiz.de/10014001439
This paper discusses nonparametric kernel regression with the regressor being a d-dimensional ß-null recurrent process in presence of conditional heteroscedasticity. We show that the mean function estimator is consistent with convergence rate p n(T)hd, where n(T) is the number of regenerations...
Persistent link: https://www.econbiz.de/10011755281
This paper discusses nonparametric kernel regression with the regressor being a d-dimensional ß-null recurrent process in presence of conditional heteroscedasticity. We show that the mean function estimator is consistent with convergence rate p n(T)hd, where n(T) is the number of regenerations...
Persistent link: https://www.econbiz.de/10011297654
The experience of past financial market turmoil suggests that in addition to eroding investor wealth, the severe consequences of rare extreme market events can spillover and impair the broader real economies. In this context, this paper is an evaluation of the methodological and empirical...
Persistent link: https://www.econbiz.de/10013183970
Persistent link: https://www.econbiz.de/10013260199