Intraday return inefficiency and long memory in the volatilities of forex markets and the role of trading volume

2018 ◽  
Vol 506 ◽  
pp. 433-450 ◽  
Author(s):  
Syed Jawad Hussain Shahzad ◽  
Jose Areola Hernandez ◽  
Waqas Hanif ◽  
Ghulam Mujtaba Kayani
Keyword(s):  
2007 ◽  
Vol 17 (17) ◽  
pp. 1421-1430 ◽  
Author(s):  
Twm Evans ◽  
David G. McMillan
Keyword(s):  

2022 ◽  
Author(s):  
Ignacio N Lobato ◽  
Carlos Velasco

Abstract We propose a single step estimator for the autoregressive and moving-average roots (without imposing causality or invertibility restrictions) of a nonstationary Fractional ARMA process. These estimators employ an efficient tapering procedure, which allows for a long memory component in the process, but avoid estimating the nonstationarity component, which can be stochastic and/or deterministic. After selecting automatically the order of the model, we robustly estimate the AR and MA roots for trading volume for the thirty stocks in the Dow Jones Industrial Average Index in the last decade. Two empirical results are found. First, there is strong evidence that stock market trading volume exhibits non-fundamentalness. Second, non-causality is more common than non-invertibility.


2000 ◽  
Vol 18 (4) ◽  
pp. 410-427 ◽  
Author(s):  
Ignacio N. Lobato ◽  
Carlos Velasco

2013 ◽  
Vol 22 ◽  
pp. 94-112 ◽  
Author(s):  
Eduardo Rossi ◽  
Paolo Santucci de Magistris

2008 ◽  
Vol 52 (6) ◽  
pp. 3075-3082 ◽  
Author(s):  
Jerry Coakley ◽  
Jian Dollery ◽  
Neil Kellard

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