2020
DOI: 10.1002/for.2720
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Out‐of‐sample performance of bias‐corrected estimators for diffusion processes

Abstract: We investigated the out-of-sample forecasting performance of six biascorrected estimators that have recently emerged in the literature for the Ornstein-Uhlenbeck process: the naïve estimator, the Tang and Chen estimator, the Bao et al. estimator, the bootstrap estimator, the Wang et al. estimator, and the bootstrap estimator based on the Euler method, along with the benchmark least squares (LS) estimator. Our Monte Carlo simulations illustrated that the bias-corrected estimators, except for the Bao et al. esti… Show more

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Cited by 5 publications
(5 citation statements)
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“…The Keynesian theory of monetary policy assumes that the interest rate cannot be negative-an assumption which has been seen to be violated by deliberate policy in recent years (see Kirsch (2021), Bhansali (2020), Czudaj (2020), Dickler (2020), Lopez et al (2020)). Monetary policy has real world impact through multiple channels-through housing decisions and decision to save for retirement (see Scholz et al (2006), Case et al (2013); for an interesting approach to forecasting see Guo (2021)). I am not aware of any theoretical development in Keynesian theory of monetary policy incorporating negative interest rates.…”
Section: Discussionmentioning
confidence: 99%
“…The Keynesian theory of monetary policy assumes that the interest rate cannot be negative-an assumption which has been seen to be violated by deliberate policy in recent years (see Kirsch (2021), Bhansali (2020), Czudaj (2020), Dickler (2020), Lopez et al (2020)). Monetary policy has real world impact through multiple channels-through housing decisions and decision to save for retirement (see Scholz et al (2006), Case et al (2013); for an interesting approach to forecasting see Guo (2021)). I am not aware of any theoretical development in Keynesian theory of monetary policy incorporating negative interest rates.…”
Section: Discussionmentioning
confidence: 99%
“…Transparency in local authorities can be enhanced by adopting reliable and accurate estimation and forecasting methods. When local authorities use appropriate estimators and forecasting techniques, it improves the accuracy and reliability of their financial and operational information (Guo, 2020). This, in turn, contributes to greater transparency by providing more reliable data for citizens and other stakeholders to evaluate the performance and decision-making of local authorities.…”
Section: Figure 3 Transparency Easinessmentioning
confidence: 99%
“…Moreover, to estimate the single threshold effect, a 300-bootstrap replication is employed. The bootstrap estimator that was introduced by Tang and Chen ( 2009) is adopted to reduce the estimation bias substantially (Guo, 2020).…”
Section: Threshold Estimationmentioning
confidence: 99%