Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
HHrdle, Wolfgang K.
and
Song, Song
2008.
The Stochastic Fluctuation of the Quantile Regression Curve.
SSRN Electronic Journal ,
Wolski, Marcin
2013.
Exploring Nonlinearities in Financial Systemic Risk.
SSRN Electronic Journal,
Volgushev, Stanislav
Birke, Melanie
Dette, Holger
and
Neumeyer, Natalie
2013.
Significance testing in quantile regression.
Electronic Journal of Statistics,
Vol. 7,
Issue. none,
Lee, Tae-Hwy
and
Yang, Weiping
2014.
Granger-causality in quantiles between financial markets: Using copula approach.
International Review of Financial Analysis,
Vol. 33,
Issue. ,
p.
70.
Dette, Holger
Guhlich, Matthias
and
Neumeyer, Natalie
2015.
Testing for additivity in nonparametric quantile regression.
Annals of the Institute of Statistical Mathematics,
Vol. 67,
Issue. 3,
p.
437.
Du, Limin
and
He, Yanan
2015.
Extreme risk spillovers between crude oil and stock markets.
Energy Economics,
Vol. 51,
Issue. ,
p.
455.
Pierdzioch, Christian
Risse, Marian
and
Rohloff, Sebastian
2015.
A real-time quantile-regression approach to forecasting gold returns under asymmetric loss.
Resources Policy,
Vol. 45,
Issue. ,
p.
299.
Balcilar, Mehmet
Gupta, Rangan
and
Pierdzioch, Christian
2016.
Does uncertainty move the gold price? New evidence from a nonparametric causality-in-quantiles test.
Resources Policy,
Vol. 49,
Issue. ,
p.
74.
Chen, Yi‐Ting
2016.
Testing for Granger Causality in Moments.
Oxford Bulletin of Economics and Statistics,
Vol. 78,
Issue. 2,
p.
265.
Zhu, Huiming
Peng, Cheng
and
You, Wanhai
2016.
Quantile behaviour of cointegration between silver and gold prices.
Finance Research Letters,
Vol. 19,
Issue. ,
p.
119.
Antonakakis, Nikolaos
Babalos, Vassilios
and
Kyei, Clement
2016.
Predictability of sustainable investments and the role of uncertainty: evidence from a non-parametric causality-in-quantiles test.
Applied Economics,
Vol. 48,
Issue. 48,
p.
4655.
Li, Haiqi
Zhong, Wanling
and
Park, Sung Y.
2016.
Generalized cross-spectral test for nonlinear Granger causality with applications to money–output and price–volume relations.
Economic Modelling,
Vol. 52,
Issue. ,
p.
661.
Candelon, Bertrand
and
Tokpavi, Sessi
2016.
A Nonparametric Test for Granger Causality in Distribution With Application to Financial Contagion.
Journal of Business & Economic Statistics,
Vol. 34,
Issue. 2,
p.
240.
Balcilar, Mehmet
Gupta, Rangan
Kyei, Clement
and
Wohar, Mark E.
2016.
Does Economic Policy Uncertainty Predict Exchange Rate Returns and Volatility? Evidence from a Nonparametric Causality-in-Quantiles Test.
Open Economies Review,
Vol. 27,
Issue. 2,
p.
229.
Bonaccolto, Giovanni
Caporin, Massimiliano
and
Panzica, Roberto Calogero
2017.
Estimation and Model-Based Combination of Causality Networks.
SSRN Electronic Journal ,
Balcilar, Mehmet
Gupta, Rangan
and
Pierdzioch, Christian
2017.
On exchange-rate movements and gold-price fluctuations: evidence for gold-producing countries from a nonparametric causality-in-quantiles test.
International Economics and Economic Policy,
Vol. 14,
Issue. 4,
p.
691.
Balcilar, Mehmet
Gupta, Rangan
and
Miller, Stephen M.
2017.
Partisan Conflict and Income Distribution in the United States: A Nonparametric Causality-in-Quantiles Approach.
SSRN Electronic Journal ,
Balcilar, Mehmet
Bonato, Matteo
Demirer, Riza
and
Gupta, Rangan
2017.
The effect of investor sentiment on gold market return dynamics: Evidence from a nonparametric causality-in-quantiles approach.
Resources Policy,
Vol. 51,
Issue. ,
p.
77.
Balcilar, Mehmet
Bouri, Elie
Gupta, Rangan
and
Roubaud, David
2017.
Can volume predict Bitcoin returns and volatility? A quantiles-based approach.
Economic Modelling,
Vol. 64,
Issue. ,
p.
74.
Shahbaz, Muhammad
Balcilar, Mehmet
and
Abidin Ozdemir, Zeynel
2017.
Does oil predict gold? A nonparametric causality-in-quantiles approach.
Resources Policy,
Vol. 52,
Issue. ,
p.
257.