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nonstationary. We also establish the estimation theory and asymptotic properties for these models in the short horizon and long …
Persistent link: https://www.econbiz.de/10011775136
Portfolio sorting is ubiquitous in the empirical finance literature, where it has been widely used to identify pricing anomalies in different asset classes. Despite the popularity of portfolio sorting, little attention has been paid to the statistical properties of the procedure or to the...
Persistent link: https://www.econbiz.de/10011523775
This paper investigates, both in finite samples and asymptotically, statistical inference on predictive regressions where time series are generated by present value models of asset prices. We show that regression-based tests, including optimal robust tests such as Jasson and Moreira's...
Persistent link: https://www.econbiz.de/10013132892
The ınvestment decisions of institutional and individual investors in financial markets are largely influenced by market uncertainty and volatility of the investment instruments. Thus, the prediction of the uncertainty and volatilities of the prices and returns of the investment instruments...
Persistent link: https://www.econbiz.de/10014382180
The predictability of long-term asset returns increases with the time horizon as estimated in regressions of aggregated-forward returns on aggregated-backward predictive variables. This previously established evidence is consistent with the presence of common slow-moving components that are...
Persistent link: https://www.econbiz.de/10013094461
this setting, we develop a consistent Local speCtruM (LCM) estimation procedure, that delivers asymptotic Gaussian …
Persistent link: https://www.econbiz.de/10013312310
illustrates that the nonparametric estimation method works well in finite and large samples. Empirically, the predictability of …
Persistent link: https://www.econbiz.de/10014258471
This paper considers spot variance path estimation from datasets of intraday high frequency asset prices in the … microstructure noise has an adverse effect on both spot variance estimation and jump detection. In our approach we can analyze high …
Persistent link: https://www.econbiz.de/10011379469
Persistent link: https://www.econbiz.de/10010191413
This paper develops a method to improve the estimation of jump variation using high frequency data with the existence … of market microstructure noises. Accurate estimation of jump variation is in high demand, as it is an important component …-step procedure with detection and estimation. In Step 1, we detect the jump locations by performing wavelet transformation on the …
Persistent link: https://www.econbiz.de/10011568279