Asymptotic normality of narrow-band least squares in the stationary fractional cointegration model and volatility forecasting
By Bent Jesper Christensen, Morten Ørregaard Nielsen. 2006
131 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance
View Paper: https://www.semanticscholar.org/paper/d05c0668b13bf76fd0560a87b48eb205954f97e3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Morten Ørregaard Nielsen
- Katsumi Shimotsu
- George Tauchen
- Tim Bollerslev
- Peter M. Robinson
- N. Sizova
- Daniela Osterrieder
- Peter C. B. Phillips
In Finance
- Morten Ørregaard Nielsen
- Katsumi Shimotsu
- Tim Bollerslev
- Peter M. Robinson
- George Tauchen
- N. Sizova
- Daniela Osterrieder
- V. Todorov
Citations in the corpus
- Simple (but effective) tests of long memory versus structural breaks (2006, unknown): “Therefore, (38) follows if we show n−1/2(1− L)u[nr]1{t ≥ 1} ⇒ ωW (r), r ∈ [0, 1], (41) n−1/2μ̂(d̂)(1− L)v[nr] ⇒ w(d0)(Γ(2− d0)Γ(d0 + 1))ωr0Wd0+1(1).”
- Exact local Whittle estimation of fractionally cointegrated systems (2012, methodology): “BP use the NBLS estimator to estimate β; however, the NBLS estimator has different limiting distributions depending on whether δ2 < 1/2 (Christensen and Nielsen, 2006) or δ2 > 1/2 (Robinson and Marinucci, 2001).”
- Local Whittle Analysis of Stationary Fractional Cointegration and the Implied–Realized Volatility Relation (2007, methodology): “My assumptions are multivariate generalizations of those in Robinson (1994a, 1995a); compare Lobato (1997, 1999), Christensen and Nielsen (2006), and (for an alternative model) Shimotsu (2006).”
- Determining the cointegrating rank in nonstationary fractional systems by the exact local Whittle approach (2007, methodology): “1 Therefore, if the data are generated by (11), all the results in this section hold if we assume fu(λ) is bounded and estimate da by the two-step feasible ELW estimator.”
- Fully modified narrow‐band least squares estimation of weak fractional cointegration (2011, unknown): “A slightly weaker bandwidth condition was employed by Christensen & Nielsen (2006) due to their assumption of real-valued spectral density at the origin.”
- Multiple Local Whittle Estimation in Stationary Systems (2008, background): “, [6]), logged squares, with Xt, Yt generated by long-memory stochastic volatility models, Xt =AtBt, Yt =A β t Ct, where At = e at , Bt = e bt , Ct = e ct .”
- Risk and return: Long-run relations, fractional cointegration, and return predictability $ (2013, methodology): “Similarly, Christensen and Nielsen (2006) find that daily realized and options implied equity index volatilities are fractionally integrated with d around 0.”
- Semiparametric inference in multivariate fractionally cointegrated systems (2010, unknown): “In the standard I(1)/I(0) framework this includes Corbae and Ouliaris (1988) and Kim (1990), whereas in the fractional setting Cheung and Lai (1993) analysed a fractional version of the PPP model, which has recently been revisited by Gil-Alana and Hualde (2009), who employed the parametric technique”
- Nonparametric cointegration analysis of fractional systems with unknown integration orders (2010, methodology): “…relation are Cheung & Lai (1993), Baillie & Bollerslev (1994), Dueker & Startz (1998), Kim & Phillips (2001), and Nielsen (2004), among others, and using semiparametric methods Marinucci & Robinson (2001), Robinson & Marinucci (2003), Velasco (2003), and Christensen & Nielsen (2006), among others.”